449 results on '"Krueger RF"'
Search Results
2. Reliability and clinical usefulness of the personality inventory for DSM-5 in clinically referred adolescents: A preliminary report in a sample of Italian inpatients
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Somma A, Fossati A, Terrinoni A, Williams R, Ardizzone I, Fantini F, Borroni S, Krueger RF, Markon KE, Ferrara M, Somma, A, Fossati, A, Terrinoni, A, Williams, R, Ardizzone, I, Fantini, F, Borroni, S, Krueger, Rf, Markon, Ke, and Ferrara, M
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- 2016
3. The DSM-5 Alternative Model of Personality Disorders From the Perspective of Adult Attachment: A Study in Community-Dwelling Adults
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Fossati A, Krueger RF, Markon KE, Borroni S, Maffei C, Somma A, Fossati, A, Krueger, Rf, Markon, Ke, Borroni, S, Maffei, C, and Somma, A
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- 2015
4. The heritability of personality is not always 50%: gene-environment interactions and correlations between personality and parenting.
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Krueger RF, South S, Johnson W, Iacono W, Krueger, Robert F, South, Susan, Johnson, Wendy, and Iacono, William
- Abstract
Twin studies of personality are consistent in attributing approximately half of the variance in personality to genetic effects, with the remaining variance attributed to environments that make people within the same families different. Such conclusions, however, are based on quantitative models of human individual differences that estimate genetic and environmental contributions as constants for entire populations. Recent advances in statistical modeling allow for the possibility of estimating genetic and environmental contributions contingent on other variables, allowing the quantification of phenomena that have traditionally been characterized as gene-environment interaction and correlation. We applied these newer models to understand how adolescents' descriptions of their relationships with their parents might change or moderate the impact of genetic and environmental factors on personality. We documented notable moderation in the domains of positive and negative emotionality, with parental relationships acting both to enhance and diminish both genetic and environmental effects. We discuss how genetic and environmental contributions to personality might be more richly conceptualized as dynamic systems of gene-environment interplay--systems that are not captured by classical concepts, such as the overall heritability of personality. [ABSTRACT FROM AUTHOR]
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- 2008
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5. The role of internalizing and externalizing liability factors in accounting for gender differences in the prevalence of common psychopathological syndromes.
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Kramer MD, Krueger RF, and Hicks BM
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BACKGROUND: We hypothesized that gender differences in average levels on the internalizing and externalizing factors that account for co-morbidity among common psychopathological syndromes in both men and women account for gender differences in the prevalence of specific syndromes.MethodThe latent structure of 11 syndromes was examined in a middle-aged (mean age=52.66 years, s.d.=5.82) sample of 2992 (37% men) members of the community-based Minnesota Twin Registry (MTR) assessed using 10 scales of the Psychiatric Diagnostic Screening Questionnaire (PDSQ) and an adult antisocial behavior scale. Confirmatory factorial invariance models were applied to a best-fitting, internalizing-externalizing model. RESULTS: A 'strong gender invariance model' fit best, indicating that gender differences in the means of individual syndromes were well accounted for by gender differences in mean levels of internalizing and externalizing. Women exhibited higher mean levels of internalizing (d=0.23) and lower mean levels of externalizing (d=-0.52) than men. CONCLUSIONS: These findings suggest that risk factors for common mental disorders exhibiting gender differences may influence prevalence at the latent factor level. Future research may benefit from focusing on both the latent factor and individual syndrome levels in explaining gender differences in psychopathology. [ABSTRACT FROM AUTHOR]
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- 2008
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6. The feasibility and need for dimensional psychiatric diagnoses.
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Helzer JE, Kraemer HC, and Krueger RF
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Background. It is our contention that both categorical and dimensional approaches to diagnosis are important for clinical work and research alike, and that each approach has its drawbacks and advantages. As the processes toward developing DSM-V and ICD-11 progress, we suggest that another exclusively categorical revision of psychiatric taxonomies will no longer be sufficient and that adding a dimensional component is a necessary step if these taxonomies are to continue serving the future clinical and research needs of psychiatry as they have so effectively done in the past.Method. We begin the paper with a review of terminology related to categories and dimensions and briefly review literature on advantages and disadvantages of both approaches.Results. A review of relevant literature supports both the need for and feasibility of augmenting traditional categorical diagnoses with dimensional information.Conclusion. We conclude with a proposal for preserving traditional categorical diagnostic definitions, but adding a dimensional component that would be reflective of and directly referable back to the categorical definitions. We also offer a specific proposal for adding a dimensional component to official taxonomies such as the DSM and the ICD in a way that fully preserves the traditional categorical approach. [ABSTRACT FROM AUTHOR]
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- 2006
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7. Sources of covariation among the child-externalizing disorders: informant effects and the shared environment.
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Burt SA, McGue M, Krueger RF, and Iacono WG
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BACKGROUND: Research has documented high levels of co-morbidity among childhood externalizing disorders, but its etiology remains in dispute. Specifically, although all behavior genetic studies of the etiology of the co-occurrence of attention deficit-hyperactivity disorder (ADHD), oppositional defiant disorder (ODD), and conduct disorder (CD) agree that genetic factors are important, differences exist across studies in the relative weight assigned to genetic, shared environmental factors (i.e. factors that increase similarity among family members), and non-shared environmental factors (i.e. factors that decrease similarity among family members). Because heritability estimates can vary across informants, we used a biometric informant-effects model to determine whether these discrepancies were a function of systematic differences in maternal and child informant reports of ADHD, CD, and ODD. METHOD: We studied 1782 11-year-old twins from the Minnesota Twin Family Study. Symptom counts for each disorder were obtained from interviews administered to twins and their mothers. We fit a model that allowed us to examine, both across and within informants, the genetic and environmental contributions to the co-occurrence among ADHD, CD, and ODD. RESULTS: The results revealed that the co-occurrence among the disorders common to maternal and child informant reports was influenced largely by shared environmental forces. Genetic factors also contributed, though their impact was only marginally significant. In contrast, the co-occurrence unique to each informant was influenced exclusively by either genetic or non-shared environmental factors. CONCLUSIONS: Such findings offer additional evidence that shared environmental factors are important to the co-morbidity among ADHD, CD, and ODD, and highlight the necessity of considering informant effects when drawing conclusions about the origins of co-morbidity from analyses of genetically informative data. [ABSTRACT FROM AUTHOR]
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- 2005
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8. Psychopathic personality traits: heritability and genetic overlap with internalizing and externalizing psychopathology.
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Blonigen DM, Hicks BM, Krueger RF, Patrick CJ, and Iacono WG
- Abstract
BACKGROUND: Little research has examined genetic and environmental contributions to psychopathic personality traits. Additionally, no studies have examined etiological connections between psychopathic traits and the broad psychopathological domains of internalizing (mood and anxiety) and externalizing (antisocial behavior, substance abuse). The current study was designed to fill these gaps in the literature. METHOD: Participants were 626 pairs of 17-year-old male and female twins from the community. Psychopathic traits were indexed using scores on the Multidimensional Personality Questionnaire (MPQ). Symptoms of internalizing and externalizing psychopathology were obtained via structured clinical interviews. Structural equation modeling was used to estimate genetic and environmental influences on psychopathic personality traits as well as the degree of genetic overlap between these traits and composites of internalizing and externalizing. RESULTS: Twin analyses revealed significant genetic influence on distinct psychopathic traits (Fearless Dominance and Impulsive Antisociality). Moreover, Fearless Dominance was associated with reduced genetic risk for internalizing psychopathology, and Impulsive Antisociality was associated with increased genetic risk for externalizing psychopathology. CONCLUSIONS: These results indicate that different psychopathic traits as measured by the MPQ show distinct genetically based relations with broad dimensions of DSM psychopathology. [ABSTRACT FROM AUTHOR]
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- 2005
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9. Profiling pathological narcissism according to DSM–5 domains and traits: A study on consecutively admitted Italian psychotherapy patients
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Kristian E. Markon, Serena Borroni, Robert F. Krueger, Antonella Somma, Andrea Fossati, Aaron L. Pincus, Fossati, A, Somma, A, Borroni, S, Pincus, Al, Markon, Ke, and Krueger, Rf
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050103 clinical psychology ,medicine.medical_specialty ,Psychotherapist ,Dark triad ,Narcissistic Personality Inventory ,media_common.quotation_subject ,05 social sciences ,Sadistic personality disorder ,050109 social psychology ,medicine.disease ,Personality disorders ,Psychiatry and Mental health ,Clinical Psychology ,Narcissistic personality disorder ,medicine ,Narcissism ,Personality ,0501 psychology and cognitive sciences ,medicine.symptom ,Personality Assessment Inventory ,Psychology ,Psychiatry ,Clinical psychology ,media_common - Abstract
[Correction Notice: An Erratum for this article was reported in Vol 29(11) of Psychological Assessment (see record 2016-56886-001). In the article, several values were reversed and the mean was misreported in Table 2. The corrected table is present in the erratum.] Pathological narcissism represents a clinically relevant, albeit controversial personality construct, with multiple conceptualizations that are operationalized by different measures. Even in the recently published Diagnostic and Statistical Manual for Mental Disorders-Fifth Edition (DSM-5), 2 different views of narcissistic personality disorder (NPD) are formulated (i.e., Section II and Section III). The DSM-5 Section III alternative PD model diagnosis of NPD is based on self and interpersonal dysfunction (Criterion A) and a profile of maladaptive personality traits (Criterion B), specifically elevated scores on Attention Seeking and Grandiosity. Given the diversity of conceptualizations of pathological narcissism, we evaluated the convergences and divergences in DSM-5 trait profiles characterizing multiple measures of narcissism in a clinical sample of 278 consecutively admitted Italian psychotherapy patients. Patients were administered the Italian versions of the Personality Inventory for DSM-5 (PID-5) and 4 measures of NPD, (a) the Narcissistic Personality Inventory (NPI); (b) the NPD scale of the Personality Diagnostic Questionnaire-4+; (c) the Structured Clinical Interview for Axis II Personality Disorders, Version 2.0 (SCID-II) as an observer-rated measure of NPD; and (d) the Pathological Narcissism Inventory (PNI). Multiple regression analyses showed that PID-5 traits explained from 13% to more than 60% of the variance in the different NPD measures. Attention Seeking was consistently associated with all measures of NPD, whereas Grandiosity was associated with some of the NPD measures. All measures of NPD were also significantly related to additional DSM-5 maladaptive traits. (PsycINFO Database Record
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- 2017
10. Testing relationships between DSM–5 Section III maladaptive traits and measures of self and interpersonal impairment in Italian community dwelling adults
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Kristian E. Markon, Serena Borroni, Robert F. Krueger, Andrea Fossati, Antonella Somma, Fossati, Andrea, Borroni, Serena, Somma, A, Markon, Ke, and Krueger, Rf
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Adult ,Male ,050103 clinical psychology ,Coping (psychology) ,Personality Inventory ,media_common.quotation_subject ,Personality Disorders ,DSM-5 ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Adaptation, Psychological ,Criterion validity ,Humans ,Personality ,Interpersonal Relations ,0501 psychology and cognitive sciences ,Cooperative Behavior ,Big Five personality traits ,media_common ,Psychiatric Status Rating Scales ,05 social sciences ,Cooperativeness ,Middle Aged ,030227 psychiatry ,Diagnostic and Statistical Manual of Mental Disorders ,Psychiatry and Mental health ,Clinical Psychology ,Italy ,Trait ,Female ,Self Report ,Personality Assessment Inventory ,Psychology ,Clinical psychology - Abstract
In order to study the relationships between DSM-5 Section III maladaptive personality traits and personality dysfunction, 312 Italian community dwelling adults completed the Italian translations of the Personality Inventory for DSM-5 (PID-5) and the Measure of Disordered Personality Functioning Scale (MDPF); participants were also administered the Iowa Personality Disorder Screen (IPDS). Consistent with previous findings, 22 (88.0%) PID-5 maladaptive trait scales showed moderate and significant correlations with MDPF Non Coping (median r value = .32), and Non Cooperativeness, (median r value = .24) scales. Regression analyses showed that PID-5 trait scales explained roughly 59% and 35% of the variance in MDPF Non Coping and Non Cooperativeness scales, respectively. PID-5 traits were significantly associated also with the IPDS total score, adjusted R2 = .45, p < .001. As a whole, our data seemed to indicate that the wide majority of the PID-5 scales showed significant relationships of at least moderate size with a self-report measure of personality dysfunction, lending further support to the criterion validity of the PID-5. (PsycINFO Database Record
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- 2017
11. Genetic variants linked to education predict longevity
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Chris Power, Gail Davies, Ilaria Gandin, Panagiotis Deloukas, Jennifer E. Huffman, Pascal Timshel, Albert V. Smith, A. Kong, Paul Lichtenstein, Joseph K. Pickrell, Philipp Koellinger, P. L. De Jager, Reedik Mägi, G. B. Chen, Neil Pendleton, B. V. Halldórsson, George Dedoussis, Antti-Pekka Sarin, Natalia Pervjakova, Veikko Salomaa, Simona Vaccargiu, Ozren Polasek, K. H. Jöckel, Elisabeth Steinhagen-Thiessen, Y. Milaneschi, Jessica D. Faul, Patricia A. Boyle, Patrik K. E. Magnusson, Igor Rudan, Christopher P. Nelson, Vilmundur Gudnason, John Attia, Jürgen Wellmann, Kristi Läll, Konstantin Strauch, Stuart J. Ritchie, Markus Perola, Nicola Pirastu, Klaus Bønnelykke, Robert Karlsson, R. de Vlaming, Liisa Keltigangas-Jarvinen, Thomas Meitinger, Riccardo E. Marioni, Anu Loukola, Barbera Franke, Reinhold Schmidt, Maël Lebreton, Sven Oskarsson, E. Mihailov, Harm-Jan Westra, David R. Weir, Aldi T. Kraja, Niek Verweij, Peter M. Visscher, Hans-Jörgen Grabe, Johannes H. Brandsma, Mark Adams, R. J. Scott, G. Thorleifsson, Tõnu Esko, Mika Kähönen, Saskia P. Hagenaars, Patrick Turley, Johannes Waage, Peter Lichtner, Dragana Vuckovic, Antonietta Robino, Henry Völzke, Lydia Quaye, C. de Leeuw, Marika Kaakinen, Wei Zhao, Abdel Abdellaoui, Reka Nagy, Pedro Marques-Vidal, Johan G. Eriksson, Alan F. Wright, Andres Metspalu, Lavinia Paternoster, Momoko Horikoshi, Jan A. Staessen, Tarunveer S. Ahluwalia, Tian Liu, Martin Kroh, Aldo Rustichini, Giorgia Girotto, Cristina Venturini, Lili Milani, Jennifer A. Smith, Ginevra Biino, Tessel E. Galesloot, Michael A. Horan, Gerardus A. Meddens, James F. Wilson, Francesco Cucca, Peter Vollenweider, Erika Salvi, P. J. van der Most, Jari Lahti, Campbell A, David Laibson, Andrew Bakshi, Wolfgang Hoffmann, Tomi Mäki-Opas, Andreas J. Forstner, C M van Duijn, Nicholas G. Martin, Jonathan Marten, Ute Bültmann, Olli T. Raitakari, David A. Bennett, A.G. Uitterlinden, J. E. De Neve, Ingrid B. Borecki, WD Hill, Bo Jacobsson, Antti Latvala, Katri Räikkönen, Michael B. Miller, Jonathan P. Beauchamp, S. J. van der Lee, Ilja Demuth, Stavroula Kanoni, Veronique Vitart, Elina Hyppönen, N. Eklund, Francesco P. Cappuccio, Robert F. Krueger, Maria Pina Concas, Jaime Derringer, F. J.A. Van Rooij, Helena Schmidt, Patrick J. F. Groenen, Valur Emilsson, Rico Rueedi, Aysu Okbay, Georg Homuth, Edith Hofer, W. E. R. Ollier, Hannah Campbell, Paolo Gasparini, Mark Alan Fontana, Magnus Johannesson, Seppo Koskinen, Christopher F. Chabris, Jouke-Jan Hottenga, Christine Meisinger, Kari Stefansson, Jun Ding, Tia Sorensen, Brenda W.J.H. Penninx, Michelle N. Meyer, James J. Lee, Diego Vozzi, Gonneke Willemsen, K. Petrovic, Sarah E. Medland, Mary F. Feitosa, Henning Tiemeier, L. J. Launer, William G. Iacono, Massimo Mangino, Tune H. Pers, S. E. Baumeister, Christopher Oldmeadow, Grant W. Montgomery, Marjo-Riitta Järvelin, Jaakko Kaprio, Catharine R. Gale, S.F.W. Meddens, Kevin Thom, Klaus Berger, Pablo V. Gejman, Lude Franke, Gyda Bjornsdottir, Daniel J. Benjamin, Steven F. Lehrer, Krista Fischer, Alan R. Sanders, S. Ulivi, Katharina E. Schraut, Tim D. Spector, Amy Hofman, Matt McGue, Terho Lehtimäki, D. C. Liewald, Hans Bisgaard, L. Eisele, Astanand Jugessur, George Davey Smith, T.B. Harris, A.R. Thurik, Cornelius A. Rietveld, David Schlessinger, Z. Kutalik, David J. Porteous, Lynne J. Hocking, N J Timpson, A. Palotie, Lambertus A. Kiemeney, Ian J. Deary, Sharon L.R. Kardia, Peter K. Joshi, Nilesh J. Samani, Michael A. Province, Börge Schmidt, Richa Gupta, Carmen Amador, Erin B. Ware, Joyce Y. Tung, Ioanna-Panagiota Kalafati, Lars Bertram, Caroline Hayward, P. van der Harst, Penelope A. Lind, Kadri Kaasik, N.A. Furlotte, Sarah E. Harris, B. St Pourcain, Susan M. Ring, Zhihong Zhu, Alexander Teumer, Behrooz Z. Alizadeh, Judith M. Vonk, Blair H. Smith, A Payton, Wouter J. Peyrot, Jacob Gratten, Douglas F. Levinson, C Gieger, Leanne M. Hall, Andrew Heath, Mario Pirastu, Peter Eibich, Nancy L. Pedersen, Ronny Myhre, Antonio Terracciano, David M. Evans, Raymond A. Poot, Uwe Völker, Dorret I. Boomsma, Clemens Baumbach, Unnur Thorsteinsdottir, Ivana Kolcic, Jia-Shu Yang, Dalton Conley, A. A. Vinkhuyzen, Danielle Posthuma, Karl-Oskar Lindgren, Olga Rostapshova, Jonas Bacelis, Daniele Cusi, Yong Qian, Bjarni Gunnarsson, George McMahon, Elizabeth G. Holliday, Pamela A. F. Madden, David A. Hinds, David Cesarini, Jianxin Shi, Najaf Amin, Dale R. Nyholt, Applied Economics, Epidemiology, Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Aletta Jacobs School of Public Health, Public Health Research (PHR), Stem Cell Aging Leukemia and Lymphoma (SALL), Cardiovascular Centre (CVC), Amsterdam Neuroscience - Complex Trait Genetics, Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, EMGO - Mental health, Complex Trait Genetics, Biological Psychology, Marioni, RE, Ritchie, SJ, Joshi, PK, Hagenaars, SP, Hypponen, E, Benjamin, DJ, Social Science Genetic Association Consortium, Marioni, Re, Ritchie, Sj, Joshi, Pk, Hagenaars, Sp, Okbay, A, Fischer, K, Adams, Mj, Hill, Wd, Davies, G, Nagy, R, Amador, C, Läll, K, Metspalu, A, Liewald, Dc, Campbell, A, Wilson, Jf, Hayward, C, Esko, T, Porteous, Dj, Gale, Cr, Deary, Ij, Beauchamp, Jp, Fontana, Ma, Lee, Jj, Pers, Th, Rietveld, Ca, Turley, P, Chen, Gb, Emilsson, V, Meddens, Sf, Oskarsson, S, Pickrell, Jk, Thom, K, Timshel, P, de Vlaming, R, Abdellaoui, A, Ahluwalia, T, Bacelis, J, Baumbach, C, Bjornsdottir, G, Brandsma, Jh, Concas, MARIA PINA, Derringer, J, Furlotte, Na, Galesloot, Te, Girotto, Giorgia, Gupta, R, Hall, Lm, Harris, Se, Hofer, E, Horikoshi, M, Huffman, Je, Kaasik, K, Kalafati, Ip, Karlsson, R, Kong, A, Lahti, J, van der Lee, Sj, de Leeuw, C, Lind, Pa, Lindgren, Ko, Liu, T, Mangino, M, Marten, J, Mihailov, E, Miller, Mb, van der Most, Pj, Oldmeadow, C, Payton, A, Pervjakova, N, Peyrot, Wj, Qian, Y, Raitakari, O, Rueedi, R, Salvi, E, Schmidt, B, Schraut, Ke, Shi, J, Smith, Av, Poot, Ra, St Pourcain, B, Teumer, A, Thorleifsson, G, Verweij, N, Vuckovic, Dragana, Wellmann, J, Westra, Hj, Yang, J, Zhao, W, Zhu, Z, Alizadeh, Bz, Amin, N, Bakshi, A, Baumeister, Se, Biino, G, Bønnelykke, K, Boyle, Pa, Campbell, H, Cappuccio, Fp, De Neve, Je, Deloukas, P, Demuth, I, Ding, J, Eibich, P, Eisele, L, Eklund, N, Evans, Dm, Faul, Jd, Feitosa, Mf, Forstner, Aj, Gandin, Ilaria, Gunnarsson, B, Halldórsson, Bv, Harris, Tb, Heath, Ac, Hocking, Lj, Holliday, Eg, Homuth, G, Horan, Ma, Hottenga, Jj, de Jager, Pl, Jugessur, A, Kaakinen, Ma, Kähönen, M, Kanoni, S, Keltigangas Järvinen, L, Kiemeney, La, Kolcic, I, Koskinen, S, Kraja, At, Kroh, M, Kutalik, Z, Latvala, A, Launer, Lj, Lebreton, Mp, Levinson, Df, Lichtenstein, P, Lichtner, P, Loukola, A, Madden, Pa, Mägi, R, Mäki Opas, T, Marques Vidal, P, Meddens, Ga, Mcmahon, G, Meisinger, C, Meitinger, T, Milaneschi, Y, Milani, L, Montgomery, Gw, Myhre, R, Nelson, Cp, Nyholt, Dr, Ollier, We, Palotie, A, Paternoster, L, Pedersen, Nl, Petrovic, Ke, Räikkönen, K, Ring, Sm, Robino, Antonietta, Rostapshova, O, Rudan, I, Rustichini, A, Salomaa, V, Sanders, Ar, Sarin, Ap, Schmidt, H, Scott, Rj, Smith, Bh, Smith, Ja, Staessen, Ja, Steinhagen Thiessen, E, Strauch, K, Terracciano, A, Tobin, Md, Ulivi, Sheila, Vaccargiu, S, Quaye, L, van Rooij, Fj, Venturini, C, Vinkhuyzen, Aa, Völker, U, Völzke, H, Vonk, Jm, Vozzi, Diego, Waage, J, Ware, Eb, Willemsen, G, Attia, Jr, Bennett, Da, Berger, K, Bertram, L, Bisgaard, H, Boomsma, Di, Borecki, Ib, Bultmann, U, Chabris, Cf, Cucca, F, Cusi, D, Dedoussis, Gv, van Duijn, Cm, Eriksson, Jg, Franke, B, Franke, L, Gasparini, Paolo, Gejman, Pv, Gieger, C, Grabe, Hj, Gratten, J, Groenen, Pj, Gudnason, V, van der Harst, P, Hinds, Da, Hoffmann, W, Iacono, Wg, Jacobsson, B, Järvelin, Mr, Jöckel, Kh, Kaprio, J, Kardia, Sl, Lehtimäki, T, Lehrer, Sf, Magnusson, Pk, Martin, Ng, Mcgue, M, Pendleton, N, Penninx, Bw, Perola, M, Pirastu, Nicola, Pirastu, M, Polasek, O, Posthuma, D, Power, C, Province, Ma, Samani, Nj, Schlessinger, D, Schmidt, R, Sørensen, Ti, Spector, Td, Stefansson, K, Thorsteinsdottir, U, Thurik, Ar, Timpson, Nj, Tiemeier, H, Tung, Jy, Uitterlinden, Ag, Vitart, V, Vollenweider, P, Weir, Dr, Wright, Af, Conley, Dc, Krueger, Rf, Smith, Gd, Hofman, A, Laibson, Di, Medland, Se, Meyer, Mn, Johannesson, M, Visscher, Pm, Koellinger, Pd, Cesarini, D, and Benjamin, Dj
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Netherlands Twin Register (NTR) ,0301 basic medicine ,Male ,Parents ,education: longevity: prediction: polygenic score [genetics] ,Multifactorial Inheritance ,polygenic ,Lebenserwartung ,Cohort Studies ,0302 clinical medicine ,Databases, Genetic ,Medicine ,genetics ,polygenic score ,longevity, education, gene ,Soziales und Gesundheit ,media_common ,Aged, 80 and over ,education ,Multidisciplinary ,Longevity ,Middle Aged ,Biobank ,humanities ,3. Good health ,Urological cancers Radboud Institute for Health Sciences [Radboudumc 15] ,Cohort ,Educational Status ,Female ,Cohort study ,Estonia ,education, longevity, polygenic ,Offspring ,media_common.quotation_subject ,Kultursektor ,Prognose ,Lernen ,Lower risk ,Education ,03 medical and health sciences ,longevity ,SDG 3 - Good Health and Well-being ,Commentaries ,Polygenic score ,Journal Article ,Genetics ,Humans ,Non-Profit-Sektor ,Genetic Association Studies ,Aged ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,business.industry ,ta1184 ,Genetic Variation ,prediction ,Educational attainment ,United Kingdom ,Gesundheitsstatistik ,030104 developmental biology ,Genetic epidemiology ,Scotland ,Gesundheitszustand ,Genetische Forschung ,business ,Prediction ,Bildung ,030217 neurology & neurosurgery ,Demography - Abstract
Educational attainment is associated with many health outcomes, including longevity. It is also known to be substantially heritable. Here, we used data from three large genetic epidemiology cohort studies (Generation Scotland, n = ∼17,000; UK Biobank, n = ∼115,000; and the Estonian Biobank, n = ∼6,000) to test whether education-linked genetic variants can predict lifespan length. We did so by using cohort members' polygenic profile score for education to predict their parents' longevity. Across the three cohorts, meta-analysis showed that a 1 SD higher polygenic education score was associated with ∼2.7% lower mortality risk for both mothers (total n deaths = 79,702) and ∼2.4% lower risk for fathers (total n deaths = 97,630). On average, the parents of offspring in the upper third of the polygenic score distribution lived 0.55 y longer compared with those of offspring in the lower third. Overall, these results indicate that the genetic contributions to educational attainment are useful in the prediction of human longevity. Marioni RE, Ritchie SJ, Joshi PK, Hagenaars SP, Okbay A, Fischer K, Adams MJ, Hill WD, Davies G, Social Science Genetic Association Consortium, Nagy R, Amador C, Läll K, Metspalu A, Liewald DC, Campbell A, Wilson JF, Hayward C, Esko T, Porteous DJ, Proceedings of the National Academy of Sciences of the United States of America, 2016, vol. 113, no. 47, pp. 13366-13371, 2016 Refereed/Peer-reviewed
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- 2016
12. A Head-to-Head Comparison of the Personality Inventory for DSM-5 (PID-5) With the Personality Diagnostic Questionnaire-4 (PDQ-4) in Predicting the General Level of Personality Pathology Among Community Dwelling Subjects
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Antonella Somma, Kristian E. Markon, Serena Borroni, Andrea Fossati, Cesare Maffei, Robert F. Krueger, Fossati, A, Somma, A, Borroni, S, Maffei, C, Markon, Ke, and Krueger, Rf
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Adult ,Male ,050103 clinical psychology ,medicine.medical_specialty ,Personality Inventory ,media_common.quotation_subject ,Personality Disorders ,DSM-5 ,03 medical and health sciences ,0302 clinical medicine ,Self-report inventory ,Surveys and Questionnaires ,medicine ,Personality ,Humans ,0501 psychology and cognitive sciences ,Psychiatry ,media_common ,05 social sciences ,Multilevel model ,Personality pathology ,Middle Aged ,medicine.disease ,Personality disorders ,Iowa ,030227 psychiatry ,Diagnostic and Statistical Manual of Mental Disorders ,Psychiatry and Mental health ,Clinical Psychology ,Trait ,Female ,Independent Living ,Self Report ,Personality Assessment Inventory ,Psychology - Abstract
In order to evaluate if measures of DSM-5 Alternative PD Model domains predicted interview-based scores of general personality pathology when compared to self-report measures of DSM-IV Axis II/DSM-5 Section II PD criteria, 300 Italian community adults were administered the Iowa Personality Disorder Screen (IPDS) interview, the Personality Inventory for DSM-5 (PID-5), and the Personality Diagnostic Questionnaire-4+ (PDQ-4+). Multiple regression analyses showed that the five PID-5 domain scales collectively explained an adequate rate of the variance of the IPDS interview total score. This result was slightly lower than the amount of variance in the IPDS total score explained by the 10 PDQ-4+ scales. The PID-5 traits scales performed better than the PDQ-4+, although the difference was marginal. Hierarchical regression analyses revealed that the PID-5 domain and trait scales provided a moderate, but significant increase in the prediction of the general level of personality pathology above and beyond the PDQ-4+ scales.
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- 2016
13. The Personality Inventory for DSM-5 Brief Form: Evidence for Reliability and Construct Validity in a Sample of Community-Dwelling Italian Adolescents
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Kristian E. Markon, Andrea Fossati, Robert F. Krueger, Serena Borroni, Antonella Somma, Fossati, Andrea, Somma, A, Borroni, S, Markon, Ke, and Krueger, Rf
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Male ,050103 clinical psychology ,Psychometrics ,Adolescent ,Personality Inventory ,050109 social psychology ,Sample (statistics) ,Test validity ,Personality Disorders ,DSM-5 ,Developmental psychology ,Adjustment Disorders ,Humans ,0501 psychology and cognitive sciences ,Applied Psychology ,Reliability (statistics) ,Adolescent psychology ,05 social sciences ,Construct validity ,Reproducibility of Results ,Diagnostic and Statistical Manual of Mental Disorders ,Clinical Psychology ,Italy ,Regression Analysis ,Female ,Personality Assessment Inventory ,Psychology - Abstract
To assess the reliability and construct validity of the Personality Inventory for DSM-5 Brief Form (PID-5-BF) among adolescents, 877 Italian high school students were administered the PID-5-BF. Participants were administered also the Measure of Disordered Personality Functioning (MDPF) as a criterion measure. In the full sample, Cronbach’s alpha values for the PID-5-BF scales ranged from .59 (Detachment) to .77 (Psychoticism); in addition, all PID-5-BF scales showed mean interitem correlation values in the .22 to .40 range. Cronbach’s alpha values for the PID-5-BF total score was .83 (mean interitem r = .16). Although 2-month test–retest reliability could be assessed only in a small ( n = 42) subsample of participants, all PID-5-BF scale scores showed adequate temporal stability, as indexed by intraclass r values ranging from .78 (Negative Affectivity) to .97 (Detachment), all ps 2 = .17, p < .001, and Non-Coping scales, adjusted R2 = .32, p < .001. Similarly, the PID-5-BF total score was a significant predictor of both MDPF Non-Coping, and Non-Cooperativeness scales.
- Published
- 2015
14. Genome-wide analysis identifies 12 loci influencing human reproductive behavior
- Author
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Ozren Polasek, Bo Jacobsson, Eleonora Porcu, Vinicius Tragante, Joel Eriksson, Jie Yao, Mika Kähönen, Mark Alan Fontana, Stefania Cappellani, J. Viikari, Rick Jansen, Crysovalanto Mamasoula, Linda Broer, Tamara B. Harris, Ellen A. Nohr, Genevieve Lachance, Johan G. Eriksson, Nicholas Eriksson, Rico Rueedi, Francesco Cucca, Jaakko Kaprio, Nicholas J. Timpson, George Dedoussis, Matt McGue, Per Magnus, Klaus Berger, Olli T. Raitakari, Cornelia M. van Duijn, Brenda W.J.H. Penninx, Jing Hua Zhao, Peter Eibich, Sheila Ulivi, Hugoline G. de Haan, Ronny Myhre, Ruth McQuillan, Florian Kronenberg, Markus Perola, Klaus Bønnelykke, Robert Karlsson, Martina La Bianca, Paul Mitchell, Ian J. Deary, Melinda Mills, Teresa Nutile, Patrick J. F. Groenen, Stacey A. Missmer, Nicholas G. Martin, Panos Deloukas, Mario Pirastu, Lindsay K. Matteson, Robert Luben, Veikko Salomaa, Renée de Mutsert, Chris Power, Nir Barzilai, Annette Kifley, Hamdi Mbarek, Denis A. Evans, Erica P. Gunderson, Tim D. Spector, Anke Tönjes, Michela Traglia, Claire Monnereau, Karin Halina Greiser, Sharon L.R. Kardia, John M. Starr, Peter K. Joshi, Sandra Lai, Doris Stöckl, James J. Lee, Heather J. Cordell, Andrew Bakshi, Nicholas J. Wareham, David C. Liewald, P Koponen, Paul M. Ridker, Joyce Y. Tung, Ilaria Gandin, Kauko Heikkilä, Johannes Haerting, Gonneke Willemsen, Janet W. Rich-Edwards, Andrew C. Heath, Astanand Jugessur, John L. Hopper, Stefan Kiechl, Henry Völzke, Daniela Ruggiero, John R. B. Perry, Dan Mellström, Simon R. Cox, Yasaman Saba, Magnus Johannesson, Ginevra Biino, David Schlessinger, Kirsi Auro, Dennis O. Mook-Kanamori, Christa Meisinger, Igor Rudan, Audrey J. Gaskins, Lars Bertram, Roy Thurik, Laura M. Yerges-Armstrong, Caterina Barbieri, Katri Räikkönen, Lawrence F. Bielak, Aviv Bergman, Philipp Koellinger, Ronald de Vlaming, Tian Liu, Johannes W. A. Smit, Peter Kovacs, Vincent W. V. Jaddoe, Jennifer A. Smith, Sven Bergmann, Inga Prokopenko, Xiuqing Guo, Marina Ciullo, Krina T. Zondervan, Marcel den Hoed, Daniel J. Benjamin, Kathryn Roll, Alan F. Wright, Helena Schmidt, William G. Iacono, Jie Jin Wang, Harold Snieder, Juho Wedenoja, Tarunveer S. Ahluwalia, David R. Weir, Ken K. Ong, Daniela Toniolo, Ruifang Li-Gao, Evelin Mihailov, Edith Hofer, Leslie J. Raffel, Daniel I. Chasman, Alexander Kluttig, Bernard Keavney, Eco J. C. de Geus, Kathleen A. Ryan, Kristin L. Ayers, Lude Franke, S. Fleur W. Meddens, Alison Pattie, Jornt J. Mandemakers, Eva Albrecht, David Cesarini, Beverley Balkau, Grant W. Montgomery, Michael Stumvoll, Ahmad Vaez, Michael B. Miller, Najaf Amin, Gyda Bjornsdottir, Cecile Lecoeur, Enes Makalic, Marc Jan Bonder, Terho Lehtimäki, Albert Hofman, Loic Yengo, Lynda M. Rose, Lisette Stolk, Juergen Wellmann, Gail Davies, Eero Kajantie, Nicole Schupf, Hans Bisgaard, Unnur Thorsteinsdottir, Konstantin Strauch, Ivana Kolcic, Lili Milani, Chunyan He, Claes Ohlsson, Yongmei Liu, Gil Atzmon, Janine F. Felix, Christian Gieger, Mike A. Nalls, Riitta Luoto, Nicola Barban, Philippe Froguel, Daniel F. Schmidt, Dorret I. Boomsma, Harry Campbell, Xia Shen, Vasiliki Lagou, Danny Ben-Avraham, Veronique Vitart, Ioanna P. Kalafati, Kari Stefansson, Daria V. Zhernakova, Constance Turman, Julie E. Buring, Johannes Waage, James F. Wilson, Maria Pina Concas, Zoltán Kutalik, Peter Willeit, Jørn Olsen, Dan Rujescu, Caroline Hayward, Penelope A. Lind, George McMahon, Elizabeth G. Holliday, Ilja M. Nolte, Fahimeh Falahi, Minh Bui, Gudmar Thorleifsson, Patrick F. McArdle, Cinzia Sala, Alana Cavadino, Rossella Sorice, Wei Zhao, Andres Metspalu, Sander W. van der Laan, Stavroula Kanoni, Elina Hyppönen, Morris A. Swertz, Simona Vaccargiu, Felix C. Tropf, Michael Lucht, Susan M. Ring, Elizabeth A. Streeten, Reinhold Schmidt, Augustine Kong, Johann Willeit, Patricia A. Peyser, Jessica D. Faul, Patrik K. E. Magnusson, Tõnu Esko, Antonietta Robino, Lavinia Paternoster, Peter J. van der Most, Kumar B. Rajan, George Davey-Smith, Dragana Vuckovic, Hans J. Grabe, Jari Lahti, Giorgia Girotto, Jorge E. Chavarro, Robert F. Krueger, Hongyan Huang, Georg Homuth, Paolo Gasparini, Sarah E. Medland, Gert G. Wagner, Peter Kraft, André G. Uitterlinden, Cornelius A. Rietveld, Howard Andrews, Cecilia M. Lindgren, Peter Vollenweider, Perry, John [0000-0001-6483-3771], Zhao, Jing Hua [0000-0003-4930-3582], Luben, Robert [0000-0002-5088-6343], Ong, Kenneth [0000-0003-4689-7530], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, BARBAN N, Rick Jansen, Ronald de Vlaming, Ahmad Vaez, Jornt J Mandemaker, Felix C Tropf, Xia Shen, James F Wilson, Daniel I Chasman, Ilja M Nolte, Vinicius Tragante, Sander W van der Laan, John R B Perry, Augustine Kong, BIOS Consortium, Tarunveer S Ahluwalia, Eva Albrecht, Laura Yerges-Armstrong, Gil Atzmon, Kirsi Auro, Kristin Ayer, Andrew Bakshi, Danny Ben-Avraham, Klaus Berger, Aviv Bergman, Lars Bertram, Lawrence F Bielak, Gyda Bjornsdottir, Marc Jan Bonder, Linda Broer, Minh Bui, Caterina Barbieri, Alana Cavadino, Jorge E Chavarro, Constance Turman, Maria Pina Conca, Heather J Cordell, Gail Davie, Peter Eibich, Nicholas Eriksson, Tõnu Esko, Joel Eriksson, Fahimeh Falahi, Janine F Felix, Mark Alan Fontana, Lude Franke, Ilaria Gandin, Audrey J Gaskin, Christian Gieger, Erica P Gunderson, Xiuqing Guo, Caroline Hayward, Chunyan He, Edith Hofer, Hongyan Huang, Peter K Joshi, Stavroula Kanoni, Robert Karlsson, Stefan Kiechl, Annette Kifley, Alexander Kluttig, Peter Kraft, Vasiliki Lagou, Cecile Lecoeur, Jari Lahti, Ruifang Li-Gao, Penelope A Lind, Tian Liu, Enes Makalic, Crysovalanto Mamasoula, Lindsay Matteson, Hamdi Mbarek, Patrick F McArdle, George McMahon, S Fleur W Medden, Evelin Mihailov, Mike Miller, Stacey A Missmer, Claire Monnereau, Peter J van der Most, Ronny Myhre, Mike A Nall, Teresa Nutile, Ioanna Panagiota Kalafati, Eleonora Porcu, Inga Prokopenko, Kumar B Rajan, Janet Rich-Edward, Cornelius A Rietveld, Antonietta Robino, Lynda M Rose, Rico Rueedi, Kathleen A Ryan, Yasaman Saba, Daniel Schmidt, Jennifer A Smith, Lisette Stolk, Elizabeth Streeten, Anke Tönje, Gudmar Thorleifsson, Sheila Ulivi, Juho Wedenoja, Juergen Wellmann, Peter Willeit, Jie Yao, Loic Yengo, Jing Hua Zhao, Wei Zhao, Daria V Zhernakova, Najaf Amin, Howard Andrew, Beverley Balkau, Nir Barzilai, Sven Bergmann, Ginevra Biino, Hans Bisgaard, Klaus Bønnelykke, Dorret I Boomsma, Julie E Buring, Harry Campbell, Stefania Cappellani, Marina Ciullo, Simon R Cox, Francesco Cucca, Daniela Toniolo, George Davey-Smith, Ian J Deary, George Dedoussi, Panos Delouka, Cornelia M van Duijn, Eco J C de Geu, Johan G Eriksson, Denis A Evan, Jessica D Faul, Cinzia Felicita Sala, Philippe Froguel, Paolo Gasparini, Giorgia Girotto, Hans-Jörgen Grabe, Karin Halina Greiser, Patrick J F Groenen, Hugoline G de Haan, Johannes Haerting, Tamara B Harri, Andrew C Heath, Kauko Heikkilä, Albert Hofman, Georg Homuth, Elizabeth G Holliday, John Hopper, Elina Hyppönen, Bo Jacobsson, Vincent W V Jaddoe, Magnus Johannesson, Astanand Jugessur, Mika Kähönen, Eero Kajantie, Sharon L R Kardia, Bernard Keavney, Ivana Kolcic, Päivikki Koponen, Peter Kovac, Florian Kronenberg, Zoltan Kutalik, Martina La Bianca, Genevieve Lachance, William G Iacono, Sandra Lai, Terho Lehtimäki, David C Liewald, LifeLines Cohort Study, Cecilia M Lindgren, Yongmei Liu, Robert Luben, Michael Lucht, Riitta Luoto, Per Magnu, Patrik K E Magnusson, Nicholas G Martin, Matt McGue, Ruth McQuillan, Sarah E Medland, Christa Meisinger, Dan Mellström, Andres Metspalu, Michela Traglia, Lili Milani, Paul Mitchell, Grant W Montgomery, Dennis Mook-Kanamori, Renée de Mutsert, Ellen A Nohr, Claes Ohlsson, Jørn Olsen, Ken K Ong, Lavinia Paternoster, Alison Pattie, Brenda W J H Penninx, Markus Perola, Patricia A Peyser, Mario Pirastu, Ozren Polasek, Chris Power, Jaakko Kaprio, Leslie J Raffel, Katri Räikkönen, Olli Raitakari, Paul M Ridker, Susan M Ring, Kathryn Roll, Igor Rudan, Daniela Ruggiero, Dan Rujescu, Veikko Salomaa, David Schlessinger, Helena Schmidt, Reinhold Schmidt, Nicole Schupf, Johannes Smit, Rossella Sorice, Tim D Spector, John M Starr, Doris Stöckl, Konstantin Strauch, Michael Stumvoll, Morris A Swertz, Unnur Thorsteinsdottir, A Roy Thurik, Nicholas J Timpson, Joyce Y Tung, André G Uitterlinden, Simona Vaccargiu, Jorma Viikari, Veronique Vitart, Henry Völzke, Peter Vollenweider, Dragana Vuckovic, Johannes Waage, Gert G Wagner, Jie Jin Wang, Nicholas J Wareham, David R Weir, Gonneke Willemsen, Johann Willeit, Alan F Wright, Krina T Zondervan, Kari Stefansson, Robert F Krueger, James J Lee, Daniel J Benjamin, David Cesarini, Philipp D Koellinger, Marcel den Hoed, Harold Snieder & Melinda C Mills, Barban, N, Jansen, R, de Vlaming, R, Vaez, A, Mandemakers, Jj, Tropf, Fc, Shen, X, Wilson, Jf, Chasman, Di, Nolte, Im, Tragante, V, van der Laan, Sw, Perry, Jr, Kong, A, Ahluwalia, T, Albrecht, E, Yerges Armstrong, L, Atzmon, G, Auro, K, Ayers, K, Bakshi, A, Ben Avraham, D, Berger, K, Bergman, A, Bertram, L, Bielak, Lf, Bjornsdottir, G, Bonder, Mj, Broer, L, Bui, M, Barbieri, CATERINA MARIA, Cavadino, A, Chavarro, Je, Turman, C, Concas, MARIA PINA, Cordell, Hj, Davies, G, Eibich, P, Eriksson, N, Esko, T, Eriksson, J, Falahi, F, Felix, Jf, Fontana, Ma, Franke, L, Gandin, Ilaria, Gaskins, Aj, Gieger, C, Gunderson, Ep, Guo, X, Hayward, C, He, C, Hofer, E, Huang, H, Joshi, Pk, Kanoni, S, Karlsson, R, Kiechl, S, Kifley, A, Kluttig, A, Kraft, P, Lagou, V, Lecoeur, C, Lahti, J, Li Gao, R, Lind, Pa, Liu, T, Makalic, E, Mamasoula, C, Matteson, L, Mbarek, H, Mcardle, Pf, Mcmahon, G, Meddens, Sf, Mihailov, E, Miller, M, Missmer, Sa, Monnereau, C, van der Most, Pj, Myhre, R, Nalls, Ma, Nutile, T, Kalafati, Ip, Porcu, E, Prokopenko, I, Rajan, Kb, Rich Edwards, J, Rietveld, Ca, Robino, Antonietta, Rose, Lm, Rueedi, R, Ryan, Ka, Saba, Y, Schmidt, D, Smith, Ja, Stolk, L, Streeten, E, Tönjes, A, Thorleifsson, G, Ulivi, Sheila, Wedenoja, J, Wellmann, J, Willeit, P, Yao, J, Yengo, L, Zhao, Jh, Zhao, W, Zhernakova, Dv, Amin, N, Andrews, H, Balkau, B, Barzilai, N, Bergmann, S, Biino, G, Bisgaard, H, Bønnelykke, K, Boomsma, Di, Buring, Je, Campbell, H, Cappellani, Stefania, Ciullo, M, Cox, Sr, Cucca, F, Toniolo, D, Davey Smith, G, Deary, Ij, Dedoussis, G, Deloukas, P, van Duijn, Cm, de Geus, Ej, Eriksson, Jg, Evans, Da, Faul, Jd, Sala, Cf, Froguel, P, Gasparini, Paolo, Girotto, Giorgia, Grabe, Hj, Greiser, Kh, Groenen, Pj, de Haan, Hg, Haerting, J, Harris, Tb, Heath, Ac, Heikkilä, K, Hofman, A, Homuth, G, Holliday, Eg, Hopper, J, Hyppönen, E, Jacobsson, B, Jaddoe, Vw, Johannesson, M, Jugessur, A, Kähönen, M, Kajantie, E, Kardia, Sl, Keavney, B, Kolcic, I, Koponen, P, Kovacs, P, Kronenberg, F, Kutalik, Z, LA BIANCA, Martina, Lachance, G, Iacono, Wg, Lai, S, Lehtimäki, T, Liewald, Dc, Lindgren, Cm, Liu, Y, Luben, R, Lucht, M, Luoto, R, Magnus, P, Magnusson, Pk, Martin, Ng, Mcgue, M, Mcquillan, R, Medland, Se, Meisinger, C, Mellström, D, Metspalu, A, Traglia, Michela, Milani, L, Mitchell, P, Montgomery, Gw, Mook Kanamori, D, de Mutsert, R, Nohr, Ea, Ohlsson, C, Olsen, J, Ong, Kk, Paternoster, L, Pattie, A, Penninx, Bw, Perola, M, Peyser, Pa, Pirastu, M, Polasek, O, Power, C, Kaprio, J, Raffel, Lj, Räikkönen, K, Raitakari, O, Ridker, Pm, Ring, Sm, Roll, K, Rudan, I, Ruggiero, D, Rujescu, D, Salomaa, V, Schlessinger, D, Schmidt, H, Schmidt, R, Schupf, N, Smit, J, Sorice, R, Spector, Td, Starr, Jm, Stöckl, D, Strauch, K, Stumvoll, M, Swertz, Ma, Thorsteinsdottir, U, Thurik, Ar, Timpson, Nj, Tung, Jy, Uitterlinden, Ag, Vaccargiu, S, Viikari, J, Vitart, V, Völzke, H, Vollenweider, P, Vuckovic, Dragana, Waage, J, Wagner, Gg, Wang, Jj, Wareham, Nj, Weir, Dr, Willemsen, G, Willeit, J, Wright, Af, Zondervan, Kt, Stefansson, K, Krueger, Rf, Lee, Jj, Benjamin, Dj, Cesarini, D, Koellinger, Pd, den Hoed, M, Snieder, H, Mills, Mc, Sociology/ICS, Life Course Epidemiology (LCE), Isotope Research, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Stem Cell Aging Leukemia and Lymphoma (SALL), Barban, Nicola, Jansen, Rick, De Vlaming, Ronald, Vaez, Ahmad, Hyppönen, Elina, Mills, Melinda C, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, EMGO - Mental health, Applied Economics, Public Health, Internal Medicine, Erasmus MC other, Epidemiology, Econometrics, Pediatrics, EMGO+ - Lifestyle, Overweight and Diabetes, Complex Trait Genetics, and Biological Psychology
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0301 basic medicine ,Netherlands Twin Register (NTR) ,PROTEIN ,WASS ,Genome-wide association study ,Reproductive Behavior ,MOUSE ,Genome-wide association studies ,GWAS ,reproductive behavior ,fertility ,0302 clinical medicine ,G1 PHASE ,Pregnancy ,Genetics & Heredity ,Genetics ,HUMAN-DISEASES ,Reproduction ,Human Reproduction ,11 Medical And Health Sciences ,ASSOCIATION ,Genome-Wide ,POLYCYSTIC-OVARY-SYNDROME ,Sociologie van Consumptie en Huishoudens ,Parity ,Phenotype ,Behavioural genetics ,Medical genetics ,Female ,BIOS Consortium ,FOS: Medical biotechnology ,Life Sciences & Biomedicine ,Maternal Age ,Infertility ,medicine.medical_specialty ,GENE PRIORITIZATION ,Quantitative Trait Loci ,Sociology of Consumption and Households ,Quantitative trait locus ,Biology ,Polymorphism, Single Nucleotide ,Article ,03 medical and health sciences ,AGE ,QUALITY-CONTROL ,medicine ,Journal Article ,Life Science ,SNP ,Humans ,gene ,reproductive ,behaviour ,Science & Technology ,ta1184 ,06 Biological Sciences ,medicine.disease ,Genetic architecture ,human reproductive behavior ,030104 developmental biology ,Fertility ,Human genome ,Birth Order ,030217 neurology & neurosurgery ,LifeLines Cohort Study ,Developmental Biology ,genome-wide analysis ,Genome-Wide Association Study - Abstract
Barban N, Jansen R, de Vlaming R, Vaez A, Mandemakers JJ, Tropf FC, Shen X, Wilson JF, Chasman DI, Nolte IM, Tragante V, van der Laan SW, Perry JR, Kong A; BIOS Consortium, Ahluwalia TS, Albrecht E, Yerges-Armstrong L, Atzmon G, Auro K, Ayers K, Bakshi A, Ben-Avraham D, Berger K, Bergman A, Bertram L, Bielak LF, Bjornsdottir G, Bonder MJ, Broer L, Bui M, Barbieri C, Cavadino A, Chavarro JE, Turman C, Concas MP, Cordell HJ, Davies G, Eibich P, Eriksson N, Esko T, Eriksson J, Falahi F, Felix JF, Fontana MA, Franke L, Gandin I, Gaskins AJ, Gieger C, Gunderson EP, Guo X, Hayward C, He C, Hofer E, Huang H, Joshi PK, Kanoni S, Karlsson R, Kiechl S, Kifley A, Kluttig A, Kraft P, Lagou V, Lecoeur C, Lahti J, Li-Gao R, Lind PA, Liu T, Makalic E, Mamasoula C, Matteson L, Mbarek H, McArdle PF, McMahon G, Meddens SF, Mihailov E, Miller M, Missmer SA, Monnereau C, van der Most PJ, Myhre R, Nalls MA, Nutile T, Kalafati IP, Porcu E, Prokopenko I, Rajan KB, Rich-Edwards J, Rietveld CA, Robino A, Rose LM, Rueedi R, Ryan KA, Saba Y, Schmidt D, Smith JA, Stolk L, Streeten E, Tönjes A, Thorleifsson G, Ulivi S, Wedenoja J, Wellmann J, Willeit P, Yao J, Yengo L, Zhao JH, Zhao W, Zhernakova DV, Amin N, Andrews H, Balkau B, Barzilai N, Bergmann S, Biino G, Bisgaard H, Bønnelykke K, Boomsma DI, Buring JE, Campbell H, Cappellani S, Ciullo M, Cox SR, Cucca F, Toniolo D, Davey-Smith G, Deary IJ, Dedoussis G, Deloukas P, van Duijn CM, de Geus EJ, Eriksson JG, Evans DA, Faul JD, Sala CF, Froguel P, Gasparini P, Girotto G, Grabe HJ, Greiser KH, Groenen PJ, de Haan HG, Haerting J, Harris TB, Heath AC, Heikkilä K, Hofman A, Homuth G, Holliday EG, Hopper J, Hyppönen E, Jacobsson B, Jaddoe VW, Johannesson M, Jugessur A, Kähönen M, Kajantie E, Kardia SL, Keavney B, Kolcic I, Koponen P, Kovacs P, Kronenberg F, Kutalik Z, La Bianca M, Lachance G, Iacono WG, Lai S, Lehtimäki T, Liewald DC; LifeLines Cohort Study, Lindgren CM, Liu Y, Luben R, Lucht M, Luoto R, Magnus P, Magnusson PK, Martin NG, McGue M, McQuillan R, Medland SE, Meisinger C, Mellström D, Metspalu A, Traglia M, Milani L, Mitchell P, Montgomery GW, Mook-Kanamori D, de Mutsert R, Nohr EA, Ohlsson C, Olsen J, Ong KK, Paternoster L, Pattie A, Penninx BW, Perola M, Peyser PA, Pirastu M, Polasek O, Power C, Kaprio J, Raffel LJ, Räikkönen K, Raitakari O, Ridker PM, Ring SM, Roll K, Rudan I, Ruggiero D, Rujescu D, Salomaa V, Schlessinger D, Schmidt H, Schmidt R, Schupf N, Smit J, Sorice R, Spector TD, Starr JM, Stöckl D, Strauch K, Stumvoll M, Swertz MA, Thorsteinsdottir U, Thurik AR, Timpson NJ, Tung JY, Uitterlinden AG, Vaccargiu S, Viikari J, Vitart V, Völzke H, Vollenweider P, Vuckovic D, Waage J, Wagner GG, Wang JJ, Wareham NJ, Weir DR, Willemsen G, Willeit J, Wright AF, Zondervan KT, Stefansson K, Krueger RF, Lee JJ, Benjamin DJ, Cesarini D, Koellinger PD, den Hoed M, Snieder H, Mills MC.
- Published
- 2016
15. Is it true that mental disorders are so common, and so commonly co-occur?
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MAJ, Mario, MILLON T, KRUEGER RF, SIMONSEN E, and Maj, Mario
- Published
- 2010
16. Mapping Emotion Regulation Patterns Within the Alternative Model of Personality Disorders Personality Traits.
- Author
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Stulcbauer LB, Chen W, Gross JJ, Krueger RF, and Preece DA
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- Humans, Female, Male, Adult, Young Adult, Models, Psychological, Personality, Adolescent, Middle Aged, Emotional Regulation, Personality Disorders psychology
- Abstract
Personality pathology is associated with emotional problems that are potentially attributable to problematic emotion regulation strategy patterns. We evaluated the emotion regulation strategies associated with the pathological personality traits in the Alternative Model of Personality Disorders (AMPD). A total of 504 participants completed measures of AMPD traits and strategy usage, which were analyzed using hierarchical regressions and latent profile analysis (LPA). Regression results demonstrated that each trait was associated with a unique strategy pattern: negative affect with emotional overengagement, detachment with socialemotional avoidance, antagonism with emotional externalization/avoidance, disinhibition with emotional avoidance and overengagement, and psychoticism with strategies linked to psychotic/dissociative experiences. The LPA identified three profiles with heightened AMPD traits: an internalizing/distressed profile, an externalizing/distressed profile, and a schizoid-schizotypal profile; each had a unique strategy pattern that varied depending on trait composition. This research highlights the relevance of emotion regulation strategy patterns in the assessment, conceptualization, and treatment of personality pathology.
- Published
- 2024
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17. Reconceptualizing mental health in cancer survivorship.
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Haywood D, Kotov R, Krueger RF, Wright AGC, Forbes MK, Dauer E, Baughman FD, Rossell SL, and Hart NH
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- Humans, Survivorship, Cancer Survivors psychology, Cancer Survivors statistics & numerical data, Mental Health statistics & numerical data, Neoplasms psychology, Neoplasms therapy, Neoplasms mortality, Mental Disorders psychology, Mental Disorders epidemiology, Mental Disorders therapy
- Abstract
Mental health for cancer survivors in both research and clinical applications has strongly adopted a traditional nosological approach, involving the classification of psychopathology into discrete disorders. However, this approach has recently faced considerable criticism due to issues such as high comorbidity and within-disorder symptom heterogeneity across populations. Moreover, there are additional specific issues impacting the validity of traditional approaches in cancer survivorship populations, including the physiological effects of cancer and its treatments. In response, we provide the case for the hierarchical dimensional approach within psycho-oncology, in particular the Hierarchical Taxonomy of Psychopathology (HiTOP). We discuss not only the potential utility of HiTOP to research and clinical applications within psycho-oncology, but also its limitations, and what is required to apply this approach within cancer survivorship., Competing Interests: Declaration of interests D.H., R.K., R.F.K., A.G.C.W., and M.K.F. are members of the HiTOP Consortium. Otherwise, the authors declare no conflicts of interest., (Copyright © 2024 Elsevier Inc. All rights reserved.)
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- 2024
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- View/download PDF
18. Associations between epigenetic age acceleration and longitudinal measures of psychosocioeconomic stress and status.
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Markon KE, Mann F, Freilich C, Cole S, and Krueger RF
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- Humans, Longitudinal Studies, Male, Female, Middle Aged, United States, Aged, Social Class, Adult, Epigenesis, Genetic, Stress, Psychological, Aging psychology, Aging genetics
- Abstract
Relationships between epigenetic aging markers and psychosocial variables such as socioeconomic status and stress have been well-documented, but are often examined cross-sectionally or retrospectively, and have tended to focus on objective markers of SES or major life events. Here, we examined associations between psychosocial variables, including measures of socioeconomic status and social stress, and epigenetic aging markers in adulthood, using longitudinal data spanning three decades from the Midlife in the United States (MIDUS) study. The largest effects were observed for epigenetic markers of change in health, such as DunedinPACE and GrimAge, and for associations involving education, income, net assets, general social stress, inequality-related stress, and financial stress. Analyses of polygenic indices suggests that at least in the case of education, the link to epigenetic aging cannot be accounted for by common genetic variants., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)
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- 2024
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19. Loneliness, epigenetic age acceleration, and chronic health conditions.
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Freilich CD, Markon KE, Cole SW, and Krueger RF
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- Humans, Male, Female, Chronic Disease, Middle Aged, Aged, Longitudinal Studies, Aging psychology, Aging physiology, Adult, United States, Loneliness psychology, Epigenesis, Genetic, DNA Methylation
- Abstract
Having associations with a range of adverse physical health outcomes including mortality, loneliness is increasingly recognized as a pressing public health concern, but the mechanisms studied to date do not yet explain all loneliness-related health risk. We sought to evaluate whether epigenetic influences on DNA methylation could help explain the relationship between loneliness and health. To do so, we first estimated associations between loneliness and epigenetic age acceleration (EAA) in a subsample of participants in the study of midlife in the United States ( n = 1,310), before testing whether EAA mediated and/or moderated the association between loneliness and the onset of chronic health conditions in older adulthood ( n = 445 completing longitudinal follow-ups). Greater loneliness was weakly associated with greater EAA in the Horvath, DunedinPACE, and GrimAge measures after accounting for demographic (0.08 ≤ β ≤ 0.11) and behavioral (0.06 ≤ β ≤ 0.08) covariates. Loneliness also predicted increases in chronic condition counts and these effects were more pronounced for individuals with higher DunedinPACE EAA values (interaction term β = 0.09, p = .009), suggesting possible synergistic impacts. EAA measures appear to be promising in helping to understand individual variations in the health impacts of loneliness, but the specific mechanisms involved require further research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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- 2024
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20. Maladaptive personality traits and older adult relationship satisfaction: A co-twin control approach to understanding associations.
- Author
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Yu HH, Freilich CD, Wilson S, McGue M, Roisman GI, and Krueger RF
- Abstract
Objective: Maladaptive personality traits have been implicated in romantic relationship dissatisfaction, but the etiology of those links and the degree to which they extend to other types of relationships are unclear. The purpose of this study was to examine associations between maladaptive personality traits and satisfaction in various relationships using a co-twin control design to identify potential environmental contributions., Method: The sample consisted of 1340 older adult twin participants from the Minnesota Twin Registry (M
age = 70.3) that completed the Personality Inventory for DSM-5 Faceted Brief Form and Network of Relationships Inventory (Revised for Older Adults)., Results: Several maladaptive personality traits were phenotypically associated with relationship dissatisfaction, with detachment and negative affect having the largest effects. Further, within twin pair differences in detachment and negative affect were associated with greater relationship dissatisfaction, suggesting that observed associations were mediated partly by the unique environment, not solely the result of genetic and familial confounding. Both phenotypic and co-twin associations were strongest overall in the romantic partner relationship., Conclusion: These findings support the notion that maladaptive personality traits are implicated in interpersonal dysfunction across multiple domains., (© 2024 The Author(s). Journal of Personality published by Wiley Periodicals LLC.)- Published
- 2024
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21. A novel approach to model cumulative stress: Area under the s-factor curve.
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Mann FD, Cuevas AG, Clouston SAP, Freilich CD, Krizan Z, Zuber S, Wänström L, Muniz-Terrera G, O'Keefe P, Voll S, Hofer S, Rodgers JL, and Krueger RF
- Subjects
- Humans, Male, Female, Middle Aged, Longitudinal Studies, United States epidemiology, Aged, Area Under Curve, Factor Analysis, Statistical, Adult, Activities of Daily Living psychology, Chronic Disease psychology, Body Mass Index, Stress, Psychological psychology
- Abstract
Objective: Using a large longitudinal sample of adults from the Midlife in the United States (MIDUS) study, the present study extended a recently developed hierarchical model to determine how best to model the accumulation of stressors, and to determine whether the rate of change in stressors or traditional composite scores of stressors are stronger predictors of health outcomes., Method: We used factor analysis to estimate a stress-factor score and then, to operationalize the accumulation of stressors we examined five approaches to aggregating information about repeated exposures to multiple stressors. The predictive validity of these approaches was then assessed in relation to different health outcomes., Results: The prediction of chronic conditions, body mass index, difficulty with activities of daily living, executive function, and episodic memory later in life was strongest when the accumulation of stressors was modeled using total area under the curve (AUC) of estimated factor scores, compared to composite scores that have traditionally been used in studies of cumulative stress, as well as linear rates of change., Conclusions: Like endogenous, biological markers of stress reactivity, AUC for individual trajectories of self-reported stressors shows promise as a data reduction technique to model the accumulation of stressors in longitudinal studies. Overall, our results indicate that considering different quantitative models is critical to understanding the sequelae and predictive power of psychosocial stressors from midlife to late adulthood., (Published by Elsevier Ltd.)
- Published
- 2024
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22. Is it time to discard the Diagnostic and Statistical Manual of Mental Disorders (DSM) in psycho-oncology?
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Haywood D, Kotov R, Krueger RF, Wright AGC, Forbes MK, Dauer E, Baughman FD, Rossell SL, and Hart NH
- Subjects
- Humans, Diagnostic and Statistical Manual of Mental Disorders, Psychopathology, Psycho-Oncology, Cancer Survivors
- Abstract
The conceptual basis of psychopathology within cancer survivorship is critical, as the chosen conceptualisation informs assessment and explanatory models, as well as interventions and supportive care approaches. The validity of a chosen conceptualisation of psychopathology is therefore paramount for ensuring cancer survivors receive high-quality and efficacious care and support that can be iteratively improved via coordinated research efforts. In this paper, we discuss the traditional diagnostic approach to conceptualising psychopathology within cancer care, including the diagnostic system the 'Diagnostic and Statistical Manual of Mental Disorders' (DSM) [1], and the significant issues it presents within cancer survivorship. We detail and discuss how an alternate conceptualisation of psychopathology may enhance both research and practice within psycho-oncology. We ultimately pose, and provide our perspective, on the question "Is it Time to Discard the DSM in Psycho-Oncology?", Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)
- Published
- 2024
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23. Predicting nonsuicidal self-injury and suicidal risk: A comparison between the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition Section II personality disorder and alternative model of personality disorders dimensions.
- Author
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Somma A, Gialdi G, Krueger RF, Markon KE, and Fossati A
- Abstract
The clinical relevance of nonsuicidal self-injury (NSSI) has received growing recognition, and NSSI represents a relevant risk factor for suicide. The present study aimed at running a head-to-head comparison between interview scores of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) Section II personality disorders (PDs) criteria, and DSM-5 Alternative Model of Personality Disorder (AMPD) Criterion A and Criterion B measures in providing significant and relevant information for understanding NSSI and suicidal ideation and behavior among psychotherapy participants. To this aim, a clinical sample of 103 adult participants was administered the Clinician-Administered Nonsuicidal Self-Injury Disorder Index (CANDI), the Columbia Suicide Severity Rating Scale (C-SSRS), as well as the Structured Clinical Interview for DSM-5 Personality Disorders, the Structured Clinical Interview for the DSM-5 Alternative Model for Personality Disorders Module I, and a self-report measure of dysfunctional personality traits (i.e., the Personality Inventory for DSM-5 [PID-5]). Logistic ordinal regression dominance analysis results showed that, when compared to the 10 DSM-5 Section II PD symptom counts, the DSM-5 Section III PD measure scores provided the same amount of information in the CANDI Global Severity Index scores (Nagelkerke pseudo- R ² value = .41), and a markedly larger information quantity in the case of the C-SSRS Suicidal Ideation (+35.1%), and Suicidal Behavior Index (+35.9%) levels. As a whole, our data suggested the clinical usefulness of the DSM-5 AMPD in understanding NSSI and suicidal ideation and behavior. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
- Published
- 2024
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24. Linking genetic foundations of sleep disturbances to personality traits: a study of mid-life twins.
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Krizan Z, Freilich C, Krueger RF, and Mann FD
- Subjects
- Humans, Female, Middle Aged, Male, Personality genetics, Twins genetics, Neuroticism, Emotions, Sleep, Sleep Initiation and Maintenance Disorders, Sleep Wake Disorders genetics
- Abstract
Risk of sleep disturbances depends on individuals' personality, and a large body of evidence indicates that individuals prone to neuroticism, impulsivity, and (low) extraversion are more likely to experience them. Origins of these associations are unclear, but common genetic background may play an important role. Participants included 405 twin pairs (mean age of 54 years; 59% female) from the National Survey of Midlife Development in the United States (MIDUS) who reported on their personality traits (broad and specific), as well as sleep disturbances (problems with falling asleep, staying asleep, waking early, and feeling unrested). Uni- and bivariate biometric decompositions evaluated contributions of genetic and environmental factors to associations between personality and poor sleep, as well as unique contributions from individual traits. Neuroticism, extraversion, conscientiousness, and aggressiveness were the strongest phenotypic predictors of poor sleep. Genetic sources of covariance were about twice as large as non-shared environmental sources, and only shared genetic background accounted for links between aggressiveness and poor sleep. Neuroticism and extraversion accounted for most of the genetic overlap between personality and sleep disturbances. The findings shed light on developmental antecedents of ties between personality and poor sleep, suggesting a larger role of common genetic background than idiosyncratic life experiences. The results also suggest that emotion-related traits play the most important role for poor sleep, compared to other personality traits, and may partially account for genetic associations with other traits., (© 2023 The Authors. Journal of Sleep Research published by John Wiley & Sons Ltd on behalf of European Sleep Research Society.)
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- 2024
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25. Principles and procedures for revising the hierarchical taxonomy of psychopathology.
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Forbes MK, Ringwald WR, Allen T, Cicero DC, Clark LA, DeYoung CG, Eaton N, Kotov R, Krueger RF, Latzman RD, Martin EA, Naragon-Gainey K, Ruggero CJ, Waldman ID, Brandes C, Fried EI, Goghari VM, Hankin B, Sperry S, Stanton K, Aftab A, Lynam D, Roche M, and Wright AGC
- Subjects
- Humans, Databases, Factual, Psychopathology, Research Design, Knowledge, Mental Disorders diagnosis
- Abstract
Quantitative, empirical approaches to establishing the structure of psychopathology hold promise to improve on traditional psychiatric classification systems. The Hierarchical Taxonomy of Psychopathology (HiTOP) is a framework that summarizes the substantial and growing body of quantitative evidence on the structure of psychopathology. To achieve its aims, HiTOP must incorporate emerging research in a systematic, ongoing fashion. In this article, we describe the historical context and grounding of the principles and procedures for revising the HiTOP framework. Informed by strengths and shortcomings of previous classification systems, the proposed revisions protocol is a formalized system focused around three pillars: (a) prioritizing systematic evaluation of quantitative evidence by a set of transparent criteria and processes, (b) balancing stability with flexibility, and (c) promoting inclusion over gatekeeping in all aspects of the process. We detail how the revisions protocol will be applied in practice, including the scientific and administrative aspects of the process. Additionally, we describe areas of the HiTOP structure that will be a focus of early revisions and outline challenges for the revisions protocol moving forward. The proposed revisions protocol is designed to ensure that the HiTOP framework reflects the current state of scientific knowledge on the structure of psychopathology and fulfils its potential to advance clinical research and practice. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
- Published
- 2024
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26. Connecting loneliness with pathological personality traits: Evidence for genetic and environmental mediation from a study of older twins.
- Author
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Freilich CD, McGue M, South SC, Roisman GI, and Krueger RF
- Subjects
- Aged, Humans, Diagnostic and Statistical Manual of Mental Disorders, Personality, Personality Inventory, Phenotype, Twins genetics, Loneliness, Personality Disorders genetics
- Abstract
Loneliness has broad public health importance, especially in older adulthood, and there is some evidence suggesting it is associated with several personality disorders (PDs). The etiology of these PD-loneliness associations, however, has rarely been studied, especially in the context of the maladaptive traits of the DSM-5 alternative model of personality disorder (AMPD). To address these limitations, we estimated phenotypic, genetic, and unique environmental associations between loneliness and maladaptive personality traits in a sample of older adults from the Minnesota Twin Registry ( n = 1,356, M
age = 70.4). Loneliness was moderately to strongly associated with each of the AMPD domains of negative affect, detachment, antagonism, disinhibition, and psychoticism ( r = .22-.58), with evidence of both genetic ( rg = .45-.75) and unique environmental ( re = .10-.48) influences explaining the associations to varying degrees. We argue that loneliness may be an underappreciated concomitant of personality pathology, with PD traits perhaps underlying its development. Indeed, these findings suggest that loneliness may be a manifestation of the genetic and environmental forces that also lead to pathological personality variation. (PsycInfo Database Record (c) 2024 APA, all rights reserved).- Published
- 2024
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27. Misbegotten methodologies and forgotten lessons from Tom Swift's electric factor analysis machine: A demonstration with competing structural models of psychopathology.
- Author
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Greene AL, Watts AL, Forbes MK, Kotov R, Krueger RF, and Eaton NR
- Subjects
- Humans, Factor Analysis, Statistical, Models, Structural, Research Design, Psychopathology, Mental Disorders diagnosis
- Abstract
Confirmatory factor analysis (CFA) and its bifactor models are popular in empirical investigations of the factor structure of psychological constructs. CFA offers straightforward hypothesis testing but has notable pitfalls, such as the imposition of strict assumptions (i.e., simple structure) that obscure unmodeled complexity. Due to the limitations of bifactor CFAs, they have yielded anomalous results across samples and studies that suggest model misspecification (e.g., evaporating specific factors and unexpected loadings). We propose the use of exploratory factor analysis (EFA) to evaluate the structural validity of CFA solutions-either before or after the estimation of more restrictive CFA models-to (a) identify model misspecifications that may drive anomalous estimates and (b) confirm CFA models by examining whether hypothesized structures emerge with limited researcher input. We evaluated the degree to which predominant factor structures were invariant across contexts along the exploratory-confirmatory continuum and demonstrate how poor methodological choices can distort results and impede theory development. All CFA models fit well, but there were numerous differences in replicability and substantive interpretability. Several similarities emerged between bifactor CFA and EFA models, including evidence of overextraction, the collapse of specific factors onto the general factor, and subsequent shifts in how the general factor was defined. We situate these methodological shortcomings within the broader literature on structural models of psychopathology, articulate implications for theories (such as the p -factor) that are borne out of factor analysis, outline several remedies for problems encountered when performing exploratory bifactor analysis, and propose alternative specifications for confirmatory bifactor models. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
- Published
- 2023
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28. Dimensional and transdiagnostic phenotypes in psychiatric genome-wide association studies.
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Waszczuk MA, Jonas KG, Bornovalova M, Breen G, Bulik CM, Docherty AR, Eley TC, Hettema JM, Kotov R, Krueger RF, Lencz T, Li JJ, Vassos E, and Waldman ID
- Subjects
- Humans, Genetic Predisposition to Disease genetics, Biomarkers, Reproducibility of Results, Polymorphism, Single Nucleotide genetics, Genome-Wide Association Study methods, Phenotype, Mental Disorders genetics
- Abstract
Genome-wide association studies (GWAS) provide biological insights into disease onset and progression and have potential to produce clinically useful biomarkers. A growing body of GWAS focuses on quantitative and transdiagnostic phenotypic targets, such as symptom severity or biological markers, to enhance gene discovery and the translational utility of genetic findings. The current review discusses such phenotypic approaches in GWAS across major psychiatric disorders. We identify themes and recommendations that emerge from the literature to date, including issues of sample size, reliability, convergent validity, sources of phenotypic information, phenotypes based on biological and behavioral markers such as neuroimaging and chronotype, and longitudinal phenotypes. We also discuss insights from multi-trait methods such as genomic structural equation modelling. These provide insight into how hierarchical 'splitting' and 'lumping' approaches can be applied to both diagnostic and dimensional phenotypes to model clinical heterogeneity and comorbidity. Overall, dimensional and transdiagnostic phenotypes have enhanced gene discovery in many psychiatric conditions and promises to yield fruitful GWAS targets in the years to come., (© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)
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- 2023
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29. Translating the hierarchical taxonomy of psychopathology (HiTOP) from potential to practice: Ten research questions.
- Author
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Conway CC, Kotov R, Krueger RF, and Caspi A
- Subjects
- Humans, Empirical Research, Longevity, Psychopathology, Mental Disorders diagnosis, Mental Disorders therapy
- Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) is a novel diagnostic system grounded in empirical research into the architecture of mental illness. Its basic units are continuous dimensions-as opposed to categories-that are organized into a hierarchy according to patterns of symptom co-occurrence observed in quantitative studies. Previous HiTOP discussions have focused on existing evidence regarding the model's structure and ability to account for neurobiological, social, cultural, and clinical variation. The present article looks ahead to the next decade of applied research and clinical practice using the HiTOP rubric. We highlight 10 topics where HiTOP has the potential to make significant breakthroughs. Research areas include genetic influences, environmental contributions, neural mechanisms, real-time dynamics, and lifespan development of psychopathology. We also discuss development of novel assessments, forecasting methods, and treatments. Finally, we consider implications for clinicians and educators. For each of these domains, we propose directions for future research and venture hypotheses as to what HiTOP will reveal about psychopathology. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
- Published
- 2023
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30. Assessing the measurement invariance of the Personality Inventory for DSM-5 across Black and White americans.
- Author
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Freilich CD, Palumbo IM, Latzman RD, and Krueger RF
- Subjects
- Humans, Diagnostic and Statistical Manual of Mental Disorders, Personality, United States, Black or African American, Personality Disorders diagnosis, Personality Inventory, White
- Abstract
The Personality Inventory for DSM-5 (PID-5) is the primary tool for assessing maladaptive personality traits within the DSM-5 alternative model for personality disorders. Evidence has begun to accumulate on the replicability and measurement invariance of its five-domain factor structure across countries, clinical and community populations, and sex, but its equivalency across racial groups within a given country is largely unstudied. Attempting to replicate the evidence of noninvariance demonstrated by Bagby et al. (2022), we examined the factor structure of the PID-5 across White Americans ( n = 612) and Black Americans ( n = 613) within the United States. The five-domain structure emerged across both samples with reasonably congruent factor loadings. Therefore, we tested for measurement invariance using the 13-step framework advocated by Marsh et al. (2009) for personality data. We found support for the PID-5's comparability across racial groups, offering some preliminary backing for its use with Black Americans, though additional evidence is needed to clarify the conflicting results and further validate the instrument. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
- Published
- 2023
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31. Toward a generalized developmental model of psychopathological liabilities and psychiatric disorders.
- Author
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Blanco C, Wall MM, Hoertel N, Krueger RF, and Olfson M
- Subjects
- Adult, Humans, Aged, Psychopathology, Fear, Risk Factors, Mental Disorders psychology, Alcohol-Related Disorders
- Abstract
Background: Most psychiatric disorders are associated with several risk factors, but a few underlying psychopathological dimensions account for the common co-occurrence of disorders. If these underlying psychopathological dimensions mediate associations of the risk factors with psychiatric disorders, it would support a trans-diagnostic orientation to etiological research and treatment development., Method: An analysis was performed of the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions III (NESARC-III), a US nationally representative sample of non-institutionalized civilian adults, focusing on respondents who were aged ⩾21 ( n = 34 712). Structural equation modeling was used to identify the psychopathological dimensions underlying psychiatric disorders; to examine associations between risk factors, psychopathological dimensions and individual disorders; and to test whether associations of risk factors occurring earlier in life were mediated by risk factors occurring later in life., Results: A bifactor model of 13 axis I disorders provided a good fit (CFI = 0.987, TLI = 0.982, and RMSEA = 0.011) including an overall psychopathology factor as measured by all 13 disorders and 2 specific factors, one for externalizing disorders and one for fear-related disorders. A substantial proportion of the total effects of the risk factors occurring early in life were indirectly mediated through factors occurring later in life. All risk factors showed a significant total effect on the general psychopathology, externalizing and fear-related factors. Only 23 of 325 direct associations of risk factors with psychiatric disorders achieved statistical significance., Conclusion: Most risk factors for psychiatric disorders are mediated through broad psychopathological dimensions. The central role of these dimensions supports trans-diagnostic etiological and intervention research.
- Published
- 2023
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32. Comparing associations between personality and loneliness at midlife across three cultural groups.
- Author
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Freilich CD, Mann FD, and Krueger RF
- Subjects
- Humans, Male, Female, Middle Aged, Adult, Aged, Aged, 80 and over, Cross-Sectional Studies, Japan ethnology, United States ethnology, Neuroticism, Extraversion, Psychological, Introversion, Psychological, Loneliness psychology, Personality, Black or African American psychology, White psychology, Cross-Cultural Comparison, East Asian People psychology
- Abstract
Objective: Loneliness represents a public health threat given its central role in predicting adverse mental and physical health outcomes. Prior research has established four of the Big Five personality traits as consistent cross-sectional predictors of loneliness in largely western, White samples. However, it is not clear if the personality predictors of loneliness vary across cultures., Method: The present study estimates associations between the Big Five traits and loneliness across distinct samples of White American, Black American, and Japanese adults (n = 6051 at T1). Confirmatory factor analysis and exploratory structural equation modeling were used to examine measurement invariance properties of the Big Five and loneliness across these groups. The factor structures were then carried forward to estimate associations between personality and loneliness across two assessments waves using structural equation modeling., Results: While Neuroticism was a strong predictor across groups, low Extraversion was more predictive of loneliness in Japan than in the U.S., and low Conscientiousness was only a significant predictor in the U.S., Conclusions: Previous literature offers a framework for interpreting these findings in that loneliness may be shaped comparatively more through interconnectedness in Japanese culture, while, in the U.S., individual goals and personal romantic expectations are more salient., (© 2022 The Authors. Journal of Personality published by Wiley Periodicals LLC.)
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- 2023
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33. New approaches to deep phenotyping in addictions.
- Author
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Watts AL, Latzman RD, Boness CL, Kotov R, Keyser-Marcus L, DeYoung CG, Krueger RF, Zald DH, Moeller FG, and Ramey T
- Subjects
- Humans, Psychopathology, Research Design, Substance-Related Disorders, Behavior, Addictive diagnosis
- Abstract
Objective: The causes of substance use disorders (SUDs) are largely unknown and the effectiveness of their treatments is limited. One crucial impediment to research and treatment progress surrounds how SUDs are classified and diagnosed. Given the substantial heterogeneity among individuals diagnosed with a given SUD (e.g., alcohol use disorder [AUD]), identifying novel research and treatment targets and developing new study designs is daunting., Method: In this article, we review and integrate two recently developed frameworks, the National Institute on Drug Abuse's Phenotyping Assessment Battery (NIDA PhAB) and the Hierarchical Taxonomy of Psychopathology (HiTOP), that hope to accelerate progress in understanding the causes and consequences of psychopathology by means of deep phenotyping, or finer-grained analysis of phenotypes., Results and Conclusions: NIDA PhAB focuses on addiction-related processes across multiple units of analysis, whereas HiTOP focuses on clinical phenotypes and covers a broader range of psychopathology. We highlight that NIDA PhAB and HiTOP together provide deep and broad characterizations of people diagnosed with SUDs and complement each other in their efforts to address widely known limitations of traditional classification systems and their diagnostic categories. Next, we show how NIDA PhAB and HiTOP can be integrated to facilitate optimal rich phenotyping of addiction-related phenomena. Finally, we argue that such deep phenotyping promises to advance our understanding of the neurobiology of SUD and addiction, which will guide the development of personalized medicine and interventions. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
- Published
- 2023
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34. A cybernetic perspective on the nature of psychopathology: Transcending conceptions of mental illness as statistical deviance and brain disease.
- Author
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DeYoung CG and Krueger RF
- Subjects
- Humans, Cybernetics, Psychopathology, Brain, Mental Disorders diagnosis, Brain Diseases
- Abstract
Explicitly or implicitly, psychopathology is often defined in terms of statistical deviance, requiring that an affected individual be sufficiently distant from the norm in some dimension of psychological or neural function. In recent decades, the dominant paradigm in psychiatric research has focused primarily on deviance in neural function, treating psychopathology as disease of the brain. We argue that these conceptualizations are misguided. We recently proposed a novel theory of psychopathology, based in cybernetics and drawing additionally from neuroscience, psychometrics, and personality theory (DeYoung & Krueger, 2018a). In this theory, deviations from the norm in psychological and neural functioning serve as important risk factors for psychopathology but are not in themselves necessary or sufficient to identify psychopathology, which requires the presence of cybernetic dysfunction. Psychopathology is defined as persistent failure to move toward one's goals, due to failure to generate effective new goals, interpretations, or strategies when existing ones prove unsuccessful. We argue that adopting a cybernetic theory to replace conceptualizations of psychopathology as statistical deviance or brain disease would facilitate improvements in measurement, diagnosis, prevention, and treatment of psychopathology. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
- Published
- 2023
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35. The Placement of Obsessive-Compulsive Symptoms Within a Five-Factor Model of Maladaptive Personality.
- Author
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Cooper SE, Hunt C, Stasik-O'Brien SM, Berg H, Lissek S, Watson D, and Krueger RF
- Subjects
- Humans, Personality Disorders diagnosis, Personality, Diagnostic and Statistical Manual of Mental Disorders, Problem Behavior, Obsessive-Compulsive Disorder diagnosis
- Abstract
Dimensional models of obsessive-compulsive (OC) symptoms, as seen in obsessive-compulsive disorder (OCD), are instrumental in explaining the heterogeneity observed in this condition and for informing cutting-edge assessments. Prior structural work in this area finds that OC symptoms cross-load under both Negative Affectivity and Psychoticism traits within the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5 ) Alternative Model of Personality Disorder (AMPD). However, tests of OC symptoms in conjunction with assessments of the full AMPD structure and its 25 lower-level facets representing narrower symptom content are lacking. We applied joint exploratory factor analysis to an AMPD measure (Personality Inventory for DSM-5 ; PID-5) and OC symptom data from two separate samples (total N = 1,506) to locate OC symptoms within AMPD space. OC symptoms cross-loaded on Negative Affectivity, Psychoticism, and on the low end of Disinhibition. We also report exploratory analyses of OC symptom subscales with PID-5 variables. Results are discussed in the context OC symptoms' location in PID-5 space, implications for assessment, and placement of OCD within the Hierarchical Taxonomy of Psychopathology.
- Published
- 2023
- Full Text
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36. Psychometric properties of the Spanish adaptation of the Externalizing Spectrum Inventory-Brief Form (ESI-BF).
- Author
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Blanc-Molina A, Sanchez-Garcia M, Patrick CJ, Krueger RF, Fernandez-Calderon F, Lozano OM, de la Rosa-Cáceres A, and Diaz-Batanero C
- Subjects
- Adult, Humans, Psychometrics, Reproducibility of Results, Personality Inventory, Personality Disorders diagnosis, Personality
- Abstract
The Externalizing Spectrum Inventory-Brief Form (ESI-BF) measures tendencies toward disinhibition, lack of control, aggression, and substance use. This study adapts the ESI-BF to the Spanish population and assesses its psychometric properties. The study included 742 community adults obtained by stratified random sampling with proportional allocation according to gender, age, and geographical area of the Spanish territory and a clinical sample consisting of 333 patients. All participants completed the Personality Inventory for Diagnostic and Statistical Manual of Mental Disorders, fifth edition (PID-5) and the Alcohol Substance Dependence Severity Scale, in addition to the Spanish version of the ESI-BF. Reliability was quantified using McDonald's omega and Cronbach's α reliability coefficients. Validity evidences were studied applying confirmatory factor analysis (CFA) and correlations. Results indicated adequate reliability of scores on the ESI-BF's general factors and most of its facets. Regarding internal structure, and in line with previous studies, both symmetric and S-1 hierarchical two-subfactor (bifactor) emerged as the best-fitting models. Considering both criticisms of symmetric models and parsimony, the S-1 bifactor model, which showed configural invariance across gender and samples, was retained. Validity evidence based on the relationship with other measures of personality and alcohol consumption show correlations values theoretically expected in both clinical and community samples. Findings suggest that the Spanish adaptation of the ESI-BF shows functional near-equivalence to the original version. Its effective psychometric properties make it useful instrument for further research related to the externalizing spectrum. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
- Published
- 2023
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37. Are problem buying and problem gambling addictive, impulsive, or compulsive in nature? A network analysis and latent dimension analysis study in Italian community-dwelling adults.
- Author
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Somma A, Krueger RF, Markon KE, Gialdi G, Di Leva N, Falcone E, Villa M, Frau C, and Fossati A
- Subjects
- Adult, Humans, Female, Male, Independent Living, Impulsive Behavior physiology, Italy, Gambling, Obsessive-Compulsive Disorder, Substance-Related Disorders
- Abstract
Prominent scholars suggested that the impulsive-obsessive compulsive continuum may represent a framework to understand both substance and behavioral addictions. However, the characterization of pathological buying (PB) and problem gambling (PG) within the compulsive-impulsive spectrum has not been extensively investigated. To explore the relationships among PB, PG, alcohol and substance abuse, DSM-5 obsessive-compulsive and related disorders, and impulsive dimensions, a sample of 1,005 Italian community-dwelling adult participants (55.5% female), was administered self-reported measures of PB, PG, and other theoretically-relevant constructs. We expected to observe a multidimensional structure in our data; moreover, DSM-5 obsessive compulsive and related disorders were hypothesized to be accounted for by a common dimension. Three dimensions were identified and replicated across two different, non-redundant methods (i.e., exploratory graph analysis and exploratory factor analysis), namely, substance use and gambling, obsessive and compulsive phenomena, and impulsivity dimensions. Specifically, PG seemed to represent a behavioral variant of addiction vulnerability, PB seemed more akin to obsessive-compulsive spectrum disorders, and disinhibition dimension represented the common core of negative urgency, lack of premeditation, lack of perseverance, sensation seeking (SS), and positive urgency. Our findings may be helpful in improving our knowledge on the similarities and differences between PB and PG., Competing Interests: Declaration of Competing Interest Antonella Somma, Robert F. Krueger, Kristian E. Markon, Giulia Gialdi, Nicole Di Leva, Elena Falcone, Marisole Villa, Claudia Frau, and Andrea Fossati, (Copyright © 2023 Elsevier B.V. All rights reserved.)
- Published
- 2023
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38. Pathological personality in relation to multiple domains of quality of life and impairment: Evidence for the specific relevance of the maladaptive poles of major trait domains.
- Author
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Hobbs KA, Mann FD, Latzman RD, Zimmermann J, Jaeger U, Markon K, and Krueger RF
- Subjects
- Humans, United States, Personality Inventory, Diagnostic and Statistical Manual of Mental Disorders, Personality, Quality of Life, Personality Disorders
- Abstract
The current study examined whether personality domains have nonmonotonic relationships with functional outcomes, specifically in relation to quality of life and impairment. Four samples were utilized, which were drawn from the United States and Germany. Personality trait domains were measured via the IPIP-NEO and PID-5; quality of life (QoL) was measured with the WHOQOL-BREF, and impairment was measured using the WHODAS-2.0. The PID-5 was analyzed in all four samples. Two-line testing, which fits two spline regression lines separated at a break point, was conducted to evaluate potential nonmonotonicity of the relationship between personality traits and quality of life. Overall, results demonstrated little support for nonmonotonic relationships in the PID-5 and IPIP-NEO dimensions. Rather, our results indicate that there is one clear pathological pole of major domains of personality that is associated with lower quality of life and increased impairment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
- Published
- 2023
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39. The joint hierarchical structure of psychopathology and dysfunctional personality domain indicators among community-dwelling adults.
- Author
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Somma A, Krueger RF, Markon KE, Gialdi G, Frau C, and Fossati A
- Subjects
- Adult, Humans, Personality, Psychopathology, Personality Inventory, Diagnostic and Statistical Manual of Mental Disorders, Independent Living, Personality Disorders
- Abstract
To examine the hierarchical structure of psychopathology and dysfunctional personality domains, 2416 Italian community-dwelling adult volunteers were administered a set of psychometrically sound psychopathology measures and the Personality Inventory for DSM-5 Brief Form+ (PID-5-BF+). Parallel analysis, minimum average partial, and very simple structure results suggested that 1-6 principal components (PCs) should be retained. Goldberg's bass-ackwards model of the joint psychopathology measure and PID-5-BF+ ipsatized domain scale correlation matrix evidenced a hierarchical structure that was consistent with the working model proposed by the Hierarchical Taxonomy of Psychopathology (HiTOP) consortium. Hierarchical agglomerative cluster analysis around latent variables of the psychopathology indicators and PID-5-BF+ domain scales recovered four latent dimensions, which were akin to the corresponding bass-ackwards components and nicely reproduced the HiTOP Internalizing, Externalizing, Thought Disorder, and Eating Pathology dimensions., (© 2022 John Wiley & Sons Ltd.)
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- 2023
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40. Discrimination Exposure and Polygenic Risk for Obesity in Adulthood: Testing Gene-Environment Correlations and Interactions.
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Cuevas AG, Mann FD, and Krueger RF
- Subjects
- Humans, Genetic Predisposition to Disease, Obesity epidemiology, Obesity genetics, Social Discrimination, Gene-Environment Interaction, Genome-Wide Association Study
- Abstract
Introduction: Exposure to discrimination has emerged as a risk factor for obesity. It remains unclear, however, whether the genotype of the individual can modulate the sensitivity or response to discrimination exposure (gene × environment interaction) or increase the likelihood of experiencing discrimination (gene-environment correlation)., Methods: This was an observational study of 4,102 white/European Americans in the Health and Retirement Study with self-reported, biological assessments, and genotyped data from 2006 to 2014. Discrimination was operationalized using the average of nine Everyday Discrimination Scale items. Polygenic risk scores (PRSs) for body mass index (BMI) and waist circumference (WC) were calculated using the weighted sum of risk alleles based on studies conducted by the Genetic Investigation of Anthropometric Traits (GIANT) consortium., Results: We found that greater PRS-BMI was significantly associated with more reports of discrimination (β = 0.04 ± 0.02; p = 0.037). Further analysis showed that measured BMI partially mediated the association between PRS-BMI and discrimination. There was no evidence that the association between discrimination and BMI, or the association between discrimination and WC, differed by PRS-BMI or PRS-WC, respectively., Conclusion: Our findings suggest that individuals with genetic liability for obesity may experience greater discrimination in their lifetime, consistent with a gene-environment correlation hypothesis. There was no evidence of a gene-environment interaction. More genome-wide association studies in diverse populations are needed to improve generalizability of study findings. In the meantime, prevention and clinical intervention efforts that seek to reduce exposure to all forms of discrimination may help reduce obesity at the population level., (© 2023 The Author(s). Published by S. Karger AG, Basel.)
- Published
- 2023
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41. Intersectional vulnerability in the relationship between discrimination and inflammatory gene expression.
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Cuevas AG, Freilich CD, Mann FD, Cole SW, and Krueger RF
- Abstract
Addressing social disparities in health and well-being requires understanding how the effects of discrimination become biologically embedded, and how embedding processes might vary across different demographic contexts. Emerging research suggests that a threat-related gene expression response may contribute to social disparities in health. We tested a contextual vulnerability model of discrimination embedding using an empirical intersectionality (interaction discovery) analysis of pro-inflammatory gene expression in a national sample of non-institutionalized, English-speaking adults with RNA biomarker data (n = 543). At the time of data collection, the average age of participants was 55 years (SD = 13.26) and approximately half identified as female (50.46%). Most participants identified as White (∼73%) and had some college experience (∼60%). Results showed significant variation in the strength of association between daily discrimination and inflammatory gene expression by race and sex ( b = -0.022; 95% CI:-0.038,-0.005, p = .009) with the estimated marginal association larger for racially-minoritized males ( b = 0.007; 95% CI:-0.003,0.017, p = .163), compared to White males ( b = -0.006; 95% CI:-0.013,0.001, p = .076). This study indicates that the link between daily discrimination and inflammatory gene expression may vary by sociodemographic characteristics. To improve initiatives and policies aimed at ameliorating disparities within populations, greater attention is needed to understand how interlocking systems of inequalities contribute to physiological health., Competing Interests: The authors have no conflict of interest., (© 2022 The Authors.)
- Published
- 2022
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42. Comparing Phenotypic, Genetic, and Environmental Associations between Personality and Loneliness.
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Freilich CD, Mann FD, South SC, and Krueger RF
- Abstract
As a strong risk factor for mortality, individual differences in loneliness are of clear public health significance. Four of the Big Five traits have emerged as cross-sectional correlates, but the etiology of these links is unclear, as are relations with more specific personality facets. Thus, we estimated phenotypic, genetic, and environmental associations between loneliness and both broader and narrower personality dimensions. Traits that indexed Negative Emotionality (e.g., Neuroticism, Stress Reactivity, Alienation) and low Positive Emotionality (e.g., low Extraversion, low Well-Being) had the strongest associations with loneliness, though low Conscientiousness, low Agreeableness, and high Aggression were also implicated. These associations were explained by both genetic (0.30<|r
g |<0.80) and unique environmental (0.10<|re |<0.35) influences, consistent with an etiology of loneliness involving several personality domains., Competing Interests: We have no known conflict of interest to disclose.- Published
- 2022
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43. Reliability and construct validity of the general factor of personality disorder.
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Asadi S, Bagby RM, Krueger RF, Pollock BG, and Quilty LC
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- Adult, Humans, Reproducibility of Results, Personality Inventory, Diagnostic and Statistical Manual of Mental Disorders, Factor Analysis, Statistical, Personality Disorders diagnosis, Personality physiology
- Abstract
Criterion B of the alternative model of personality disorder in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), outlines maladaptive trait dimensions that characterize personality disorders. Emerging evidence from bifactor confirmatory factor analyses suggest these traits are related at a higher order level by a general factor of personality disorder (g-PD). Further, emerging evidence points to traits most closely related to borderline personality disorder as underpinnings of g-PD. Further investigation is required to better understand the shared basis of personality disorder, with attention to the reliability and validity of g-PD. The g-PD theory was examined in a clinical (n = 242), and community sample (n = 252) of adults, using a brief form of the Personality Inventory for DSM-5 (PID-5). Structural analyses supported a correlated 6-factor model and a bifactor solution, validating the g-PD structure. Reliability indices supported the unidimensionality, reliability, and replicability of the g-PD factor. The strongest loading and most unidimensional items on the g-PD factors were from the Negative Affectivity and Disinhibition trait domains, partially replicating the trait profile of borderline personality disorder traits. In validity analyses, the nomological network of the general and specific factors were examined. g-PD was more strongly correlated with internalizing measures and impairment than specific factors, but specific factors were more strongly correlated with thought disorder and externalizing measures than g-PD. Our results support the nature and reliability of a general factor characterized by Negative Affectivity and Disinhibition unifying personality disorder traits in a brief form of the PID-5. Implications for the alternative model of personality disorder, PID-5, and g-PD theory are discussed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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- 2022
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44. Seven reasons why binary diagnostic categories should be replaced with empirically sounder and less stigmatizing dimensions.
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Lahey BB, Tiemeier H, and Krueger RF
- Abstract
Background: An ongoing positive revolution advocates a new approach to the individual differences in human emotions, cognitions, and behavior that cause distress and impair functioning. This revolution endorses the long-proposed, but still unrealized rejection of the medical model, which attributes psychological problems to a sick brain or mind. In addition, it advocates replacing the binary diagnoses used in ICD and DSM, which assume a clear discontinuity between "normal" and "abnormal" functioning, with continuous dimensions of psychological problems., Method: Selective literature review., Results and Discussion: Seven strong reasons are provided for adopting a dimensional approach., Competing Interests: Benjamin B. Lahey and Henning Tiemeier both serve on the JCPP Advances Editorial Advisory Board. Robert F. Krueger declares that they have no competing or potential conflicts of interest., (© 2022 The Authors. JCPP Advances published by John Wiley & Sons Ltd on behalf of Association for Child and Adolescent Mental Health.)
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- 2022
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45. Changing genetic architecture of body mass index from infancy to early adulthood: an individual based pooled analysis of 25 twin cohorts.
- Author
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Silventoinen K, Li W, Jelenkovic A, Sund R, Yokoyama Y, Aaltonen S, Piirtola M, Sugawara M, Tanaka M, Matsumoto S, Baker LA, Tuvblad C, Tynelius P, Rasmussen F, Craig JM, Saffery R, Willemsen G, Bartels M, van Beijsterveldt CEM, Martin NG, Medland SE, Montgomery GW, Lichtenstein P, Krueger RF, McGue M, Pahlen S, Christensen K, Skytthe A, Kyvik KO, Saudino KJ, Dubois L, Boivin M, Brendgen M, Dionne G, Vitaro F, Ullemar V, Almqvist C, Magnusson PKE, Corley RP, Huibregtse BM, Knafo-Noam A, Mankuta D, Abramson L, Haworth CMA, Plomin R, Bjerregaard-Andersen M, Beck-Nielsen H, Sodemann M, Duncan GE, Buchwald D, Burt SA, Klump KL, Llewellyn CH, Fisher A, Boomsma DI, Sørensen TIA, and Kaprio J
- Subjects
- Adolescent, Adult, Body Height genetics, Body Mass Index, Child, Child, Preschool, Humans, Infant, Obesity epidemiology, Obesity genetics, Young Adult, Twins, Dizygotic genetics, Twins, Monozygotic genetics
- Abstract
Background: Body mass index (BMI) shows strong continuity over childhood and adolescence and high childhood BMI is the strongest predictor of adult obesity. Genetic factors strongly contribute to this continuity, but it is still poorly known how their contribution changes over childhood and adolescence. Thus, we used the genetic twin design to estimate the genetic correlations of BMI from infancy to adulthood and compared them to the genetic correlations of height., Methods: We pooled individual level data from 25 longitudinal twin cohorts including 38,530 complete twin pairs and having 283,766 longitudinal height and weight measures. The data were analyzed using Cholesky decomposition offering genetic and environmental correlations of BMI and height between all age combinations from 1 to 19 years of age., Results: The genetic correlations of BMI and height were stronger than the trait correlations. For BMI, we found that genetic correlations decreased as the age between the assessments increased, a trend that was especially visible from early to middle childhood. In contrast, for height, the genetic correlations were strong between all ages. Age-to-age correlations between environmental factors shared by co-twins were found for BMI in early childhood but disappeared altogether by middle childhood. For height, shared environmental correlations persisted from infancy to adulthood., Conclusions: Our results suggest that the genes affecting BMI change over childhood and adolescence leading to decreasing age-to-age genetic correlations. This change is especially visible from early to middle childhood indicating that new genetic factors start to affect BMI in middle childhood. Identifying mediating pathways of these genetic factors can open possibilities for interventions, especially for those children with high genetic predisposition to adult obesity., (© 2022. The Author(s).)
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- 2022
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46. The weight of childhood adversity: evidence that childhood adversity moderates the impact of genetic risk on waist circumference in adulthood.
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Cuevas AG, Mann FD, and Krueger RF
- Subjects
- Adolescent, Adult, Body Mass Index, Humans, Obesity, Risk Factors, Waist Circumference genetics, Adverse Childhood Experiences, Genome-Wide Association Study
- Abstract
Objective: The present study tested the interactive effects of childhood adversity and polygenic risk scores for waist circumference (PRS-WC) on waist circumference (WC). Consistent with a diathesis-stress model, we hypothesize that the relationship between PRS-WC and WC will be magnified by increasing levels of childhood adversity., Methods: Observational study of 7976 adults (6347 European Americans and 1629 African Americans) in the Health and Retirement Study with genotyped data. PRS-WC were calculated by the HRS administrative core using the weighted sum of risk alleles based on a genome-wide association study conducted by the Genetic Investigation of Anthropometric Traits (GIANT) consortium. Childhood adversity was operationalized using a sum score of three traumatic events that occurred before the age of 18 years., Results: There was a statistically significant interaction between PRS-WC and childhood adversity for European Americans, whereby the magnitude of PRS-WC predicting WC increased as the number of adverse events increased., Conclusions: This study supports the idea of the interactive effects of genetic risks and childhood adversity on obesity. More epidemiological studies, particularly with understudied populations, are needed to better understand the roles that genetics and childhood adversity play on the development and progression of obesity., (© 2022. The Author(s), under exclusive licence to Springer Nature Limited.)
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- 2022
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47. Incremental integration of nosological innovations is improving psychiatric diagnosis and treatment.
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Krueger RF
- Published
- 2022
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48. Cultural evolution and behavior genetic modeling: The long view of time.
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Markon KE, Krueger RF, and South SC
- Subjects
- Humans, Cultural Evolution
- Abstract
We advocate for an integrative long-term perspective on time, noting that culture changes on timescales amenable to behavioral genetic study with appropriate design and modeling extensions. We note the need for replications of behavioral genetic studies to examine model invariance across long-term timescales, which would afford examination of specified as well as unspecified cultural moderators of behavioral genetic effects.
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- 2022
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49. Model fit is a fallible indicator of model quality in quantitative psychopathology research: A reply to Bader and Moshagen.
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Greene AL, Eaton NR, Forbes MK, Fried EI, Watts AL, Kotov R, and Krueger RF
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- Humans, Mental Disorders diagnosis, Psychopathology
- Abstract
As evidenced by our exchange with Bader and Moshagen (2022), the degree to which model fit indices can and should be used for the purpose of model selection remains a contentious topic. Here, we make three core points. First, we discuss the common misconception about fit statistics' abilities to identify the "best model," arguing that mechanical application of model fit indices contributes to faulty inferences in the field of quantitative psychopathology. We illustrate the consequences of this practice through examples in the literature. Second, we highlight the parsimony-adjacent concept of fitting propensity, which is not accounted for by commonly used fit statistics. Finally, we present specific strategies to overcome interpretative bias and increase generalizability of study results and stress the importance of carefully balancing substantive and statistical criteria in model selection scenarios. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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- 2022
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50. The Hierarchical Taxonomy of Psychopathology (HiTOP) in psychiatric practice and research.
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Kotov R, Cicero DC, Conway CC, DeYoung CG, Dombrovski A, Eaton NR, First MB, Forbes MK, Hyman SE, Jonas KG, Krueger RF, Latzman RD, Li JJ, Nelson BD, Regier DA, Rodriguez-Seijas C, Ruggero CJ, Simms LJ, Skodol AE, Waldman ID, Waszczuk MA, Watson D, Widiger TA, Wilson S, and Wright AGC
- Subjects
- Humans, Phenotype, Psychopathology, Research Design, Mental Disorders therapy, Psychiatry
- Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) has emerged out of the quantitative approach to psychiatric nosology. This approach identifies psychopathology constructs based on patterns of co-variation among signs and symptoms. The initial HiTOP model, which was published in 2017, is based on a large literature that spans decades of research. HiTOP is a living model that undergoes revision as new data become available. Here we discuss advantages and practical considerations of using this system in psychiatric practice and research. We especially highlight limitations of HiTOP and ongoing efforts to address them. We describe differences and similarities between HiTOP and existing diagnostic systems. Next, we review the types of evidence that informed development of HiTOP, including populations in which it has been studied and data on its validity. The paper also describes how HiTOP can facilitate research on genetic and environmental causes of psychopathology as well as the search for neurobiologic mechanisms and novel treatments. Furthermore, we consider implications for public health programs and prevention of mental disorders. We also review data on clinical utility and illustrate clinical application of HiTOP. Importantly, the model is based on measures and practices that are already used widely in clinical settings. HiTOP offers a way to organize and formalize these techniques. This model already can contribute to progress in psychiatry and complement traditional nosologies. Moreover, HiTOP seeks to facilitate research on linkages between phenotypes and biological processes, which may enable construction of a system that encompasses both biomarkers and precise clinical description.
- Published
- 2022
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