427 results on '"Tate, Ashley"'
Search Results
2. Glycocalyx Disruption Triggers Human Monocyte Activation in Acute Heart Failure Syndromes
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Grushko, Olga G., Cho, Steven, Tate, Ashley M., Rosenson, Robert S., Pinsky, David J., Haus, Jacob M., Hummel, Scott L., and Goonewardena, Sascha N.
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- 2024
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3. Monocyte-Mediated Thrombosis Linked to Circulating Tissue Factor and Immune Paralysis in COVID-19
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Goonewardena, Sascha N., Chen, Qinzhong, Tate, Ashley M., Grushko, Olga G., Damodaran, Dilna, Blakely, Pennelope K., Hayek, Salim S., Pinsky, David J., and Rosenson, Robert S.
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- 2024
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4. Genome-wide Association Meta-analysis of Childhood and Adolescent Internalizing Symptoms
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Jami, Eshim S, Hammerschlag, Anke R, Ip, Hill F, Allegrini, Andrea G, Benyamin, Beben, Border, Richard, Diemer, Elizabeth W, Jiang, Chang, Karhunen, Ville, Lu, Yi, Lu, Qing, Mallard, Travis T, Mishra, Pashupati P, Nolte, Ilja M, Palviainen, Teemu, Peterson, Roseann E, Sallis, Hannah M, Shabalin, Andrey A, Tate, Ashley E, Thiering, Elisabeth, Vilor-Tejedor, Natàlia, Wang, Carol, Zhou, Ang, Adkins, Daniel E, Alemany, Silvia, Ask, Helga, Chen, Qi, Corley, Robin P, Ehli, Erik A, Evans, Luke M, Havdahl, Alexandra, Hagenbeek, Fiona A, Hakulinen, Christian, Henders, Anjali K, Hottenga, Jouke Jan, Korhonen, Tellervo, Mamun, Abdullah, Marrington, Shelby, Neumann, Alexander, Rimfeld, Kaili, Rivadeneira, Fernando, Silberg, Judy L, van Beijsterveldt, Catharina E, Vuoksimaa, Eero, Whipp, Alyce M, Tong, Xiaoran, Andreassen, Ole A, Boomsma, Dorret I, Brown, Sandra A, Burt, S Alexandra, Copeland, William, Dick, Danielle M, Harden, K Paige, Harris, Kathleen Mullan, Hartman, Catharina A, Heinrich, Joachim, Hewitt, John K, Hopfer, Christian, Hypponen, Elina, Jarvelin, Marjo-Riitta, Kaprio, Jaakko, Keltikangas-Järvinen, Liisa, Klump, Kelly L, Krauter, Kenneth, Kuja-Halkola, Ralf, Larsson, Henrik, Lehtimäki, Terho, Lichtenstein, Paul, Lundström, Sebastian, Maes, Hermine H, Magnus, Per, Munafò, Marcus R, Najman, Jake M, Njølstad, Pål R, Oldehinkel, Albertine J, Pennell, Craig E, Plomin, Robert, Reichborn-Kjennerud, Ted, Reynolds, Chandra, Rose, Richard J, Smolen, Andrew, Snieder, Harold, Stallings, Michael, Standl, Marie, Sunyer, Jordi, Tiemeier, Henning, Wadsworth, Sally J, Wall, Tamara L, Whitehouse, Andrew JO, Williams, Gail M, Ystrøm, Eivind, Nivard, Michel G, Bartels, Meike, and Middeldorp, Christel M
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Biological Psychology ,Psychology ,Serious Mental Illness ,Brain Disorders ,Pediatric ,Human Genome ,Genetics ,Behavioral and Social Science ,Depression ,Mental Health ,Mental Illness ,2.1 Biological and endogenous factors ,2.3 Psychological ,social and economic factors ,Mental health ,Adolescent ,Adult ,Aggression ,Anxiety ,Attention Deficit Disorder with Hyperactivity ,Autistic Disorder ,Bipolar Disorder ,Child ,Child ,Preschool ,Genome-Wide Association Study ,Humans ,Loneliness ,Polymorphism ,Single Nucleotide ,Schizophrenia ,Sleep Initiation and Maintenance Disorders ,depression ,anxiety ,repeated measures ,genetic epidemiology ,molecular genetics ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Developmental & Child Psychology ,Clinical sciences ,Paediatrics ,Applied and developmental psychology - Abstract
ObjectiveTo investigate the genetic architecture of internalizing symptoms in childhood and adolescence.MethodIn 22 cohorts, multiple univariate genome-wide association studies (GWASs) were performed using repeated assessments of internalizing symptoms, in a total of 64,561 children and adolescents between 3 and 18 years of age. Results were aggregated in meta-analyses that accounted for sample overlap, first using all available data, and then using subsets of measurements grouped by rater, age, and instrument.ResultsThe meta-analysis of overall internalizing symptoms (INToverall) detected no genome-wide significant hits and showed low single nucleotide polymorphism (SNP) heritability (1.66%, 95% CI = 0.84-2.48%, neffective = 132,260). Stratified analyses indicated rater-based heterogeneity in genetic effects, with self-reported internalizing symptoms showing the highest heritability (5.63%, 95% CI = 3.08%-8.18%). The contribution of additive genetic effects on internalizing symptoms appeared to be stable over age, with overlapping estimates of SNP heritability from early childhood to adolescence. Genetic correlations were observed with adult anxiety, depression, and the well-being spectrum (|rg| > 0.70), as well as with insomnia, loneliness, attention-deficit/hyperactivity disorder, autism, and childhood aggression (range |rg| = 0.42-0.60), whereas there were no robust associations with schizophrenia, bipolar disorder, obsessive-compulsive disorder, or anorexia nervosa.ConclusionGenetic correlations indicate that childhood and adolescent internalizing symptoms share substantial genetic vulnerabilities with adult internalizing disorders and other childhood psychiatric traits, which could partially explain both the persistence of internalizing symptoms over time and the high comorbidity among childhood psychiatric traits. Reducing phenotypic heterogeneity in childhood samples will be key in paving the way to future GWAS success.
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- 2022
5. Inhibition of PCSK9 with evolocumab modulates lipoproteins and monocyte activation in high-risk ASCVD subjects
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Rosenson, Robert S., Tate, Ashley, Mar, Phyu, Grushko, Olga, Chen, Qinzhong, and Goonewardena, Sascha N.
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- 2024
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6. Genome-Wide Analyses of Vocabulary Size in Infancy and Toddlerhood: Associations With Attention-Deficit/Hyperactivity Disorder, Literacy, and Cognition-Related Traits
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Andreassen, Ole A., Bartels, Meike, Boomsma, Dorret, Dale, Philip S., Ehli, Erik, Fernandez-Orth, Dietmar, Guxens, Mònica, Hakulinen, Christian, Harris, Kathleen Mullan, Haworth, Simon, de Hoyos, Lucía, Jaddoe, Vincent, Keltikangas-Järvinen, Liisa, Lehtimäki, Terho, Middeldorp, Christel, Min, Josine L., Mishra, Pashupati P., Njølstad, Pål Rasmus, Sunyer, Jordi, Tate, Ashley E., Timpson, Nicholas, van der Laan, Camiel, Vrijheid, Martine, Vuoksimaa, Eero, Whipp, Alyce, Ystrom, Eivind, ACTION Consortium, Barwon Infant Study investigator group, Verhoef, Ellen, Allegrini, Andrea G., Jansen, Philip R., Lange, Katherine, Wang, Carol A., Morgan, Angela T., Ahluwalia, Tarunveer S., Symeonides, Christos, Eising, Else, Franken, Marie-Christine, Hypponen, Elina, Mansell, Toby, Olislagers, Mitchell, Omerovic, Emina, Rimfeld, Kaili, Schlag, Fenja, Selzam, Saskia, Shapland, Chin Yang, Tiemeier, Henning, Whitehouse, Andrew J.O., Saffery, Richard, Bønnelykke, Klaus, Reilly, Sheena, Pennell, Craig E., Wake, Melissa, Cecil, Charlotte A.M., Plomin, Robert, Fisher, Simon E., and St. Pourcain, Beate
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- 2024
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7. Health-related quality of life in subjective cognitive decline and mild cognitive impairment: a longitudinal cohort analysis
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Aye, Sandar, Bouteloup, Vincent, Tate, Ashley, Wimo, Anders, Handels, Ron, Jean, Delphine, Winblad, Bengt, and Jönsson, Linus
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- 2023
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8. The Costs of Dementia in Europe: An Updated Review and Meta-analysis
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Jönsson, Linus, Tate, Ashley, Frisell, Oskar, and Wimo, Anders
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- 2023
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9. Epidemiological overview of major depressive disorder in Scandinavia using nationwide registers
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Pasman, Joëlle A., Meijsen, Joeri J., Haram, Marit, Kowalec, Kaarina, Harder, Arvid, Xiong, Ying, Nguyen, Thuy-Dung, Jangmo, Andreas, Shorter, John R., Bergstedt, Jacob, Das, Urmi, Zetterberg, Richard, Tate, Ashley, Lichtenstein, Paul, Larsson, Henrik, Odsbu, Ingvild, Werge, Thomas, Reichborn-Kjennerud, Ted, Andreassen, Ole A., Sullivan, Patrick F., Buil, Alfonso, Tesli, Martin, and Lu, Yi
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- 2023
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10. Borderline personality disorder: associations with psychiatric disorders, somatic illnesses, trauma, and adverse behaviors
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Tate, Ashley E., Sahlin, Hanna, Liu, Shengxin, Lu, Yi, Lundström, Sebastian, Larsson, Henrik, Lichtenstein, Paul, and Kuja-Halkola, Ralf
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- 2022
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11. A TCF7L2-responsive suppression of both homeostatic and compensatory remyelination in Huntington disease mice
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Benraiss, Abdellatif, Mariani, John N., Tate, Ashley, Madsen, Pernille M., Clark, Kathleen M., Welle, Kevin A., Solly, Renee, Capellano, Laetitia, Bentley, Karen, Chandler-Militello, Devin, and Goldman, Steven A.
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- 2022
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12. A genetically informed prediction model for suicidal and aggressive behaviour in teens
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Tate, Ashley E., Akingbuwa, Wonuola A., Karlsson, Robert, Hottenga, Jouke-Jan, Pool, René, Boman, Magnus, Larsson, Henrik, Lundström, Sebastian, Lichtenstein, Paul, Middeldorp, Christel M., Bartels, Meike, and Kuja-Halkola, Ralf
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- 2022
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13. Abstract 11904: Lipoprotein(a) Integrates Monocyte-Mediated Thrombosis and Inflammation in Atherosclerotic Cardiovascular Disease
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Rosenson, Robert S, Tate, Ashley, CHEN, QINZHONG, Grushko, Olga, Damodaran, Dilna, Mejia, Priscilla, Boffa, Michael, Koschinsky, Marlys L, Narula, Jagat, and Goonewardena, Sascha N
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- 2022
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14. Genome-Wide Analyses of Vocabulary Size in Infancy and Toddlerhood:Associations With Attention-Deficit/Hyperactivity Disorder, Literacy, and Cognition-Related Traits
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Verhoef, Ellen, Allegrini, Andrea G., Jansen, Philip R., Lange, Katherine, Wang, Carol A., Morgan, Angela T., Ahluwalia, Tarunveer S., Symeonides, Christos, Andreassen, Ole A., Bartels, Meike, Boomsma, Dorret, Dale, Philip S., Ehli, Erik, Fernandez-Orth, Dietmar, Guxens, Mònica, Hakulinen, Christian, Harris, Kathleen Mullan, Haworth, Simon, de Hoyos, Lucía, Jaddoe, Vincent, Keltikangas-Järvinen, Liisa, Lehtimäki, Terho, Middeldorp, Christel, Min, Josine L., Mishra, Pashupati P., Njølstad, Pål Rasmus, Sunyer, Jordi, Tate, Ashley E., Timpson, Nicholas, van der Laan, Camiel, Vrijheid, Martine, Vuoksimaa, Eero, Whipp, Alyce, Ystrom, Eivind, ACTION Consortium, Consortium, Barwon Infant Study investigator group, Infant Study investigator group, Eising, Else, Franken, Marie Christine, Hypponen, Elina, Mansell, Toby, Olislagers, Mitchell, Omerovic, Emina, Rimfeld, Kaili, Schlag, Fenja, Selzam, Saskia, Shapland, Chin Yang, Tiemeier, Henning, Whitehouse, Andrew J.O., Saffery, Richard, Cecil, Charlotte A.M., Verhoef, Ellen, Allegrini, Andrea G., Jansen, Philip R., Lange, Katherine, Wang, Carol A., Morgan, Angela T., Ahluwalia, Tarunveer S., Symeonides, Christos, Andreassen, Ole A., Bartels, Meike, Boomsma, Dorret, Dale, Philip S., Ehli, Erik, Fernandez-Orth, Dietmar, Guxens, Mònica, Hakulinen, Christian, Harris, Kathleen Mullan, Haworth, Simon, de Hoyos, Lucía, Jaddoe, Vincent, Keltikangas-Järvinen, Liisa, Lehtimäki, Terho, Middeldorp, Christel, Min, Josine L., Mishra, Pashupati P., Njølstad, Pål Rasmus, Sunyer, Jordi, Tate, Ashley E., Timpson, Nicholas, van der Laan, Camiel, Vrijheid, Martine, Vuoksimaa, Eero, Whipp, Alyce, Ystrom, Eivind, ACTION Consortium, Consortium, Barwon Infant Study investigator group, Infant Study investigator group, Eising, Else, Franken, Marie Christine, Hypponen, Elina, Mansell, Toby, Olislagers, Mitchell, Omerovic, Emina, Rimfeld, Kaili, Schlag, Fenja, Selzam, Saskia, Shapland, Chin Yang, Tiemeier, Henning, Whitehouse, Andrew J.O., Saffery, Richard, and Cecil, Charlotte A.M.
- Abstract
Background: The number of words children produce (expressive vocabulary) and understand (receptive vocabulary) changes rapidly during early development, partially due to genetic factors. Here, we performed a meta–genome-wide association study of vocabulary acquisition and investigated polygenic overlap with literacy, cognition, developmental phenotypes, and neurodevelopmental conditions, including attention-deficit/hyperactivity disorder (ADHD). Methods: We studied 37,913 parent-reported vocabulary size measures (English, Dutch, Danish) for 17,298 children of European descent. Meta-analyses were performed for early-phase expressive (infancy, 15–18 months), late-phase expressive (toddlerhood, 24–38 months), and late-phase receptive (toddlerhood, 24–38 months) vocabulary. Subsequently, we estimated single nucleotide polymorphism–based heritability (SNP-h2) and genetic correlations (rg) and modeled underlying factor structures with multivariate models. Results: Early-life vocabulary size was modestly heritable (SNP-h2 = 0.08–0.24). Genetic overlap between infant expressive and toddler receptive vocabulary was negligible (rg = 0.07), although each measure was moderately related to toddler expressive vocabulary (rg = 0.69 and rg = 0.67, respectively), suggesting a multifactorial genetic architecture. Both infant and toddler expressive vocabulary were genetically linked to literacy (e.g., spelling: rg = 0.58 and rg = 0.79, respectively), underlining genetic similarity. However, a genetic association of early-life vocabulary with educational attainment and intelligence emerged only during toddlerhood (e.g., receptive vocabulary and intelligence: rg = 0.36). Increased ADHD risk was genetically associated with larger infant expressive vocabulary (rg = 0.23). Multivariate genetic models in the ALSPAC (Avon Longitudinal Study of Parents and Children) cohort confirme
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- 2024
15. Predicting Sojourn Times across Dementia Disease Stages, Institutionalization, and Mortality
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Tate, Ashley, primary, Bouteloup, Vincent, additional, van Maurik, Ingrid S., additional, Mank, Arenda, additional, Speh, Andreja, additional, Eriksdotter, Maria, additional, Wimo, Anders, additional, Dufouil, Carole, additional, van der Flier, Wiesje M., additional, and Jönsson, Linus, additional
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- 2023
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16. Genome-wide analyses of vocabulary size in infancy and toddlerhood: associations with ADHD, literacy and cognition-related traits
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Verhoef, Ellen, primary, Allegrini, Andrea G., additional, Jansen, Philip R., additional, Lange, Katherine, additional, Wang, Carol A., additional, Morgan, Angela T., additional, Ahluwalia, Tarunveer S., additional, Symeonides, Christos, additional, Eising, Else, additional, Franken, Marie-Christine, additional, Hypponen, Elina, additional, Mansell, Toby, additional, Olislagers, Mitchell, additional, Omerovic, Emina, additional, Rimfeld, Kaili, additional, Schlag, Fenja, additional, Selzam, Saskia, additional, Shapland, Chin Yang, additional, Tiemeier, Henning, additional, Whitehouse, Andrew J.O., additional, Saffery, Richard, additional, Bønnelykke, Klaus, additional, Reilly, Sheena, additional, Pennell, Craig E., additional, Wake, Melissa, additional, Cecil, Charlotte A.M., additional, Plomin, Robert, additional, Fisher, Simon E., additional, St Pourcain, Beate, additional, Andreassen, Ole A., additional, Bartels, Meike, additional, Boomsma, Dorret, additional, Dale, Philip S., additional, Ehli, Erik, additional, Fernandez-Orth, Dietmar, additional, Guxens, Mònica, additional, Hakulinen, Christian, additional, Harris, Kathleen Mullan, additional, Haworth, Simon, additional, de Hoyos, Lucía, additional, Jaddoe, Vincent, additional, Keltikangas-Järvinen, Liisa, additional, Lehtimäki, Terho, additional, Middeldorp, Christel, additional, Min, Josine L., additional, Mishra, Pashupati P., additional, Njølstad, Pål Rasmus, additional, Sunyer, Jordi, additional, Tate, Ashley E., additional, Timpson, Nicholas, additional, van der Laan, Camiel, additional, Vrijheid, Martine, additional, Vuoksimaa, Eero, additional, Whipp, Alyce, additional, and Ystrom, Eivind, additional
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- 2023
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17. Predicting sojourn times across dementia disease stages, institutionalization, and mortality.
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Tate, Ashley E, Bouteloup, Vincent, van Maurik, Ingrid S., Jean, Delphine, Mank, Arenda, Speh, Andreja, Boilet, Valerie, van Harten, Argonde, Eriksdotter, Maria, Wimo, Anders, Dufouil, Carole, van der Flier, Wiesje M., and Jönsson, Linus
- Abstract
INTRODUCTION: Inferring the timeline from mild cognitive impairment (MCI) to severe dementia is pivotal for patients, clinicians, and researchers. Literature is sparse and often contains few patients. We aim to determine the time spent in MCI, mild‐, moderate‐, severe dementia, and institutionalization until death. METHODS: Multistate modeling with Cox regression was used to obtain the sojourn time. Covariates were age at baseline, sex, amyloid status, and Alzheimer's disease (AD) or other dementia diagnosis. The sample included a register (SveDem) and memory clinics (Amsterdam Dementia Cohort and Memento). RESULTS: Using 80,543 patients, the sojourn time from clinically identified MCI to death across all patient groups ranged from 6.20 (95% confidence interval [CI]: 5.57–6.98) to 10.08 (8.94–12.18) years. DISCUSSION: Generally, sojourn time was inversely associated with older age at baseline, males, and AD diagnosis. The results provide key estimates for researchers and clinicians to estimate prognosis. [ABSTRACT FROM AUTHOR]
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- 2024
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18. Emergence of epidemic Neisseria meningitidis serogroup C in Niger, 2015: an analysis of national surveillance data
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Sidikou, Fati, Zaneidou, Maman, Alkassoum, Ibrahim, Schwartz, Stephanie, Issaka, Bassira, Obama, Ricardo, Lingani, Clement, Tate, Ashley, Ake, Flavien, Sakande, Souleymane, Ousmane, Sani, Zanguina, Jibir, Seidou, Issaka, Nzeyimana, Innocent, Mounkoro, Didier, Abodji, Oubote, Wang, Xin, Taha, Muhamed-Kheir, Moulia-Pelat, Jean Paul, Pana, Assimawe, Kadade, Goumbi, Ronveaux, Olivier, Novak, Ryan, Oukem-Boyer, Odile Ouwe Missi, and Meyer, Sarah
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- 2016
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19. Precision medicine in neurodegeneration: the IHI-PROMINENT project.
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Tate, Ashley, Suárez-Calvet, Marc, Ekelund, Mats, Eriksson, Sven, Eriksdotter, Maria, Van Der Flier, Wiesje M., Georges, Jean, Kivipelto, Miia, Kramberger, Milica G., Lindgren, Peter, Gispert López, Juan Domingo, Lötjönen, Jyrki, Persson, Sofie, Pla, Sandra, Solomon, Alina, Thurfjell, Lennart, Wimo, Anders, Winblad, Bengt, and Jönsson, Linus
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INDIVIDUALIZED medicine ,ALZHEIMER'S disease ,DIGITAL technology ,CLINICAL decision support systems ,NEURODEGENERATION - Abstract
Neurodegenerative diseases are one of the most important contributors to morbidity and mortality in the elderly. In Europe, over 14 million people are currently living with dementia, at a cost of over 400 billion EUR annually. Recent advances in diagnostics and approval for new pharmaceutical treatments for Alzheimer's disease (AD), the most common etiology of dementia, heralds the beginning of precision medicine in this field. However, their implementation will challenge an already over-burdened healthcare systems. There is a need for innovative digital solutions that can drive the related clinical pathways and optimize and personalize care delivery. Public-private partnerships are ideal vehicles to tackle these challenges. Here we describe the Innovative Health Initiative (IHI) public-private partnership project PROMINENT that has been initiated by connecting leading dementia researchers, medical professionals, dementia patients and their care partners with the latest innovative health technologies using a precision medicine based digital platform. The project builds upon the knowledge and already implemented digital tools from several collaborative initiatives that address new models for early detection, diagnosis, and monitoring of AD and other neurodegenerative disorders. The project aims to provide support to improvement efforts to each aspect of the care pathway including diagnosis, prognosis, treatment, and data collection for real world evidence and cost effectiveness studies. Ultimately the PROMINENT project is expected to lead to cost-effective care and improved health outcomes. [ABSTRACT FROM AUTHOR]
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- 2023
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20. Effect of mortality in cost‐effectiveness modeling of disease‐modifying treatment for Alzheimer's disease
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Aye, Sandar, primary, Jönsson, Linus, additional, Gustavsson, Anders, additional, Tate, Ashley, additional, Ptacek, Sara Garcia, additional, and Eriksdotter, Maria, additional
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- 2023
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21. An ecological analysis to examine stigma and undiagnosed HIV infections among men who have sex with men (MSM) in the United States, National HIV Behavioral Surveillance System, 2017
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Babel, Riddhi Ashok, primary, Alessi, Edward J, additional, Al-Tayyib, Alia, additional, Kuo, Irene, additional, Opoku, Jenevieve, additional, Tate, Ashley, additional, Fahad, Anindita, additional, Wogayehu, Afework, additional, Orellana, Roberto, additional, Wei, Chongyi, additional, and Raymond, Henry F, additional
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- 2022
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22. The Costs of Dementia in Europe: An Updated Review and Meta-analysis
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Jönsson, Linus, primary, Tate, Ashley, additional, Frisell, Oskar, additional, and Wimo, Anders, additional
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- 2022
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23. The Social Cost of Providing Care to Older Adults with and without Dementia
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Patterson, Sarah E, primary, Tate, Ashley M, additional, Hu, Yi-Ling, additional, Wang, Jue Jessie, additional, Schoeni, Robert F, additional, and Choi, HwaJung, additional
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- 2022
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24. COPING AND UNCERTAINTY IN THE CONTEXT OF COVID-19: DIFFERENCES BETWEEN PARTNERED AND UNPARTNERED OLDER ADULTS
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Tate, Ashley, primary, Marini, Christina, additional, Nah, Suyoung, additional, and Martire, Lynn, additional
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- 2022
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25. PHYSICAL FUNCTION, SELF-PERCEPTIONS OF AGING, AND DEPRESSIVE SYMPTOMS AMONG OLDER ADULTS
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Nah, Suyoung, primary, Martire, Lynn, additional, and Tate, Ashley, additional
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- 2022
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26. Response by Goonewardena et al to Letter Regarding Article, "Monocyte-Mediated Thrombosis Linked to Circulating Tissue Factor and Immune Paralysis in COVID-19".
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Goonewardena, Sascha N., Qinzhong Chen, Tate, Ashley M., Grushko, Olga G., Veettil, Dilna Damodaran Puthiya, Blakely, Pennelope K., Hayek, Salim S., Pinsky, David J., and Rosenson, Robert S.
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- 2024
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27. Glycocalyx Disruption Triggers Human Monocyte Activation in Acute Heart Failure Syndromes
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Grushko, Olga G., primary, Cho, Steven, additional, Tate, Ashley M., additional, Rosenson, Robert S., additional, Pinsky, David J., additional, Haus, Jacob M., additional, Hummel, Scott L., additional, and Goonewardena, Sascha N., additional
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- 2022
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28. Whole-genome characterization of epidemic Neisseria meningitides serogroup C and resurgence of serogroup W, Niger, 2015
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Kretz, Cecilia B., Retchless, Adam C., Sidikou, Fati, Issaka, Bassira, Ousmane, Sani, Schwartz, Stephanie, Tate, Ashley H., Pana, Assimawe, Njanpop-Lafourcade, Berthe-Marie, Nzeyimana, Innocent, Nse, Ricardo Obama, Deghmane, Ala-Eddine, Hong, Eva, Brynildsrud, Ola Bronstad, Novak, Ryan T., Meyer, Sarah A., Oukem-Boyer, Odile Ouwe Missi, Ronveaux, Olivier, Caugant, Dominique A., Taha, Muhamed-Kheir, and Wang, Xin
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United States. Centers for Disease Control and Prevention -- Analysis ,Meningitis -- Genetic aspects -- Analysis ,Epidemics -- Genetic aspects -- Sub-Saharan Africa -- Burkina Faso -- Nigeria -- Analysis ,Genomics -- Analysis ,Genomes -- Analysis ,Phylogeny -- Analysis ,Antibiotics -- Analysis ,Health ,World Health Organization ,Trumenba (Vaccine) - Abstract
Teisseria meningitidis commonly causes meningitis in the African meningitis belt, where periodic meningococcal epidemics have contributed to the highest reported incidence of meningococcal meningitis in the world (1). Most meningococcal [...]
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- 2016
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29. Genome-wide Association Meta-analysis of Childhood and Adolescent Internalizing Symptoms
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Jami, Eshim S., Hammerschlag, Anke R., Ip, Hill F., Allegrini, Andrea G., Benyamin, Beben, Border, Richard, Diemer, Elizabeth W., Jiang, Chang, Karhunen, Ville, Lu, Yi, Lu, Qing, Mallard, Travis T., Mishra, Pashupati P., Nolte, Ilja M., Palviainen, Teemu, Peterson, Roseann E., Sallis, Hannah M., Shabalin, Andrey A., Tate, Ashley E., Thiering, Elisabeth, Vilor-Tejedor, Natàlia, Wang, Carol, Zhou, Ang, Adkins, Daniel E., Alemany, Silvia, Ask, Helga, Chen, Qi, Corley, Robin P., Ehli, Erik A., Evans, Luke M., Havdahl, Alexandra, Hagenbeek, Fiona A., Hakulinen, Christian, Henders, Anjali K., Hottenga, Jouke Jan, Korhonen, Tellervo, Mamun, Abdullah, Marrington, Shelby, Neumann, Alexander, Rimfeld, Kaili, Rivadeneira, Fernando, Silberg, Judy L., van Beijsterveldt, Catharina E., Vuoksimaa, Eero, Whipp, Alyce M., Tong, Xiaoran, Andreassen, Ole A., Boomsma, Dorret I., Brown, Sandra A., Burt, S. Alexandra, Copeland, William, Dick, Danielle M., Harden, K. Paige, Harris, Kathleen Mullan, Hartman, Catharina A., Heinrich, Joachim, Hewitt, John K., Hopfer, Christian, Hypponen, Elina, Jarvelin, Marjo Riitta, Kaprio, Jaakko, Keltikangas-Järvinen, Liisa, Klump, Kelly L., Krauter, Kenneth, Kuja-Halkola, Ralf, Larsson, Henrik, Lehtimäki, Terho, Lichtenstein, Paul, Lundström, Sebastian, Maes, Hermine H., Magnus, Per, Munafò, Marcus R., Najman, Jake M., Njølstad, Pål R., Oldehinkel, Albertine J., Pennell, Craig E., Plomin, Robert, Reichborn-Kjennerud, Ted, Reynolds, Chandra, Rose, Richard J., Smolen, Andrew, Snieder, Harold, Stallings, Michael, Standl, Marie, Sunyer, Jordi, Tiemeier, Henning, Wadsworth, Sally J., Wall, Tamara L., Whitehouse, Andrew J.O., Williams, Gail M., Ystrøm, Eivind, Nivard, Michel G., Bartels, Meike, Middeldorp, Christel M., Jami, Eshim S., Hammerschlag, Anke R., Ip, Hill F., Allegrini, Andrea G., Benyamin, Beben, Border, Richard, Diemer, Elizabeth W., Jiang, Chang, Karhunen, Ville, Lu, Yi, Lu, Qing, Mallard, Travis T., Mishra, Pashupati P., Nolte, Ilja M., Palviainen, Teemu, Peterson, Roseann E., Sallis, Hannah M., Shabalin, Andrey A., Tate, Ashley E., Thiering, Elisabeth, Vilor-Tejedor, Natàlia, Wang, Carol, Zhou, Ang, Adkins, Daniel E., Alemany, Silvia, Ask, Helga, Chen, Qi, Corley, Robin P., Ehli, Erik A., Evans, Luke M., Havdahl, Alexandra, Hagenbeek, Fiona A., Hakulinen, Christian, Henders, Anjali K., Hottenga, Jouke Jan, Korhonen, Tellervo, Mamun, Abdullah, Marrington, Shelby, Neumann, Alexander, Rimfeld, Kaili, Rivadeneira, Fernando, Silberg, Judy L., van Beijsterveldt, Catharina E., Vuoksimaa, Eero, Whipp, Alyce M., Tong, Xiaoran, Andreassen, Ole A., Boomsma, Dorret I., Brown, Sandra A., Burt, S. Alexandra, Copeland, William, Dick, Danielle M., Harden, K. Paige, Harris, Kathleen Mullan, Hartman, Catharina A., Heinrich, Joachim, Hewitt, John K., Hopfer, Christian, Hypponen, Elina, Jarvelin, Marjo Riitta, Kaprio, Jaakko, Keltikangas-Järvinen, Liisa, Klump, Kelly L., Krauter, Kenneth, Kuja-Halkola, Ralf, Larsson, Henrik, Lehtimäki, Terho, Lichtenstein, Paul, Lundström, Sebastian, Maes, Hermine H., Magnus, Per, Munafò, Marcus R., Najman, Jake M., Njølstad, Pål R., Oldehinkel, Albertine J., Pennell, Craig E., Plomin, Robert, Reichborn-Kjennerud, Ted, Reynolds, Chandra, Rose, Richard J., Smolen, Andrew, Snieder, Harold, Stallings, Michael, Standl, Marie, Sunyer, Jordi, Tiemeier, Henning, Wadsworth, Sally J., Wall, Tamara L., Whitehouse, Andrew J.O., Williams, Gail M., Ystrøm, Eivind, Nivard, Michel G., Bartels, Meike, and Middeldorp, Christel M.
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Objective: To investigate the genetic architecture of internalizing symptoms in childhood and adolescence. Method: In 22 cohorts, multiple univariate genome-wide association studies (GWASs) were performed using repeated assessments of internalizing symptoms, in a total of 64,561 children and adolescents between 3 and 18 years of age. Results were aggregated in meta-analyses that accounted for sample overlap, first using all available data, and then using subsets of measurements grouped by rater, age, and instrument. Results: The meta-analysis of overall internalizing symptoms (INToverall) detected no genome-wide significant hits and showed low single nucleotide polymorphism (SNP) heritability (1.66%, 95% CI = 0.84-2.48%, neffective = 132,260). Stratified analyses indicated rater-based heterogeneity in genetic effects, with self-reported internalizing symptoms showing the highest heritability (5.63%, 95% CI = 3.08%-8.18%). The contribution of additive genetic effects on internalizing symptoms appeared to be stable over age, with overlapping estimates of SNP heritability from early childhood to adolescence. Genetic correlations were observed with adult anxiety, depression, and the well-being spectrum (|rg| > 0.70), as well as with insomnia, loneliness, attention-deficit/hyperactivity disorder, autism, and childhood aggression (range |rg| = 0.42-0.60), whereas there were no robust associations with schizophrenia, bipolar disorder, obsessive-compulsive disorder, or anorexia nervosa. Conclusion: Genetic correlations indicate that childhood and adolescent internalizing symptoms share substantial genetic vulnerabilities with adult internalizing disorders and other childhood psychiatric traits, which could partially explain both the persistence of internalizing symptoms over time and the high comorbidity among childhood psychiatric traits. Reducing phenotypic heterogeneity in childhood samples will be key in paving the way t
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- 2022
30. The development of psychiatric disorders and adverse behaviors : from context to prediction
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Tate, Ashley and Tate, Ashley
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Psychiatric disorders by definition cause significant impairment in an individual’s daily functioning. Certain disorders, such as borderline personality disorder (BPD) and eating disorders, have worse prognosis and high mortality rates compared to other psychiatric disorders. Similarly, adverse behaviors such as self-harm, suicide, and crime are often present in individuals with psychiatric disorders. It is of interest to further understand the etiology and associations of BPD and eating disorders to uncover potential avenues and opportunities for intervention. Moreover, prediction modeling has recently come of interest to psychiatric epidemiologists with the rise of large data sets. Prediction modeling may provide valuable information about the nature of risk factors and eventually aid clinical diagnostics and prognostics. Thus, the studies included in this thesis seek to examine the etiology, associations, and prediction approaches of psychiatric disorders and adverse behaviors. Study I examined the individual and familial association between type 1 diabetes (T1D) and eating disorder diagnoses. We used national health care records from Denmark (n = 1,825,920) and Sweden (n = 2,517,277) to calculate the association within individuals, full siblings, half siblings, full cousins, and half cousins. Individuals with T1D had twice the hazard rate ratio of being diagnosed with an eating disorder compared to the general population. There was conflicting evidence for the risk of an eating disorder in full siblings of T1D patients. However, there was no evidence to support a further familial relationship between the two conditions. Study II aimed to illuminate the nature of the correlates for BPD across time, sex, and for their full siblings. We examined 87 variables across psychiatric disorders, somatic illnesses, trauma, and adverse behaviors (such as self-harm). In a sample of 1,969,839 Swedes with 12,175 individuals diagnosed with BPD, we found that BPD was associated w
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- 2022
31. The Social Cost of Providing Care to Older Adults With and Without Dementia.
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Patterson, Sarah E, Tate, Ashley M, Hu, Yi-Ling, Wang, Jue (Jessie), Schoeni, Robert F, and Choi, HwaJung
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SOCIAL participation , *WELL-being , *RACE , *DEMENTIA patients , *COMPARATIVE studies , *PSYCHOLOGY of caregivers , *RESEARCH funding , *DESCRIPTIVE statistics , *ODDS ratio , *LOGISTIC regression analysis - Abstract
Objectives Social participation is known to enhance well-being. Caregiving responsibilities are more intense when caring for an older adult with than without dementia and may affect caregivers' ability for social participation. We estimate social participation restrictions among caregivers for older persons with versus without dementia, variation within racial/ethnic group, and the mediating effect of care hours. Methods We use the 2017 National Health and Aging Trends Study (NHATS) and National Study of Caregiving (NSOC) to study family caregivers for older adults. We estimate the prevalence of social participation (e.g. visiting family/friends, religious activities, group/club activities, going out) that were important to the caregiver but missed due to caregiving. We use logistic models to test for differences in restrictions by the older adult's dementia status overall and within race/ethnic group, adjusting for caregiver and care receiver characteristics. Results One-third of family caregivers for older adults with dementia reported restrictions due to caregiving, double the prevalence among caregivers of an older adult without dementia (33.3% vs 16.0%; p <.001). This doubling gap persisted in adjusted models (odds ratio [OR] = 2.4; p <.01) but mainly for White, non-Hispanic caregivers (OR = 3.2; p <.001). Substantially greater caregiving hours for people with versus without dementia was found (104 vs 60 hr per month), which is responsible for about 21% of the total difference in restrictions (p <.05). Discussion More time spent among caregivers of persons with versus without dementia may be an important factor undermining social participation, but hours only partially explain the gap. Future interventions should consider how to facilitate social participation among caregivers. [ABSTRACT FROM AUTHOR]
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- 2023
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32. Repurposing low-dose naltrexone for the prevention and treatment of immunothrombosis in COVID-19
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Pitt, Bertram, primary, Tate, Ashley M, additional, Gluck, David, additional, Rosenson, Robert S, additional, and Goonewardena, Sascha N, additional
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- 2022
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33. A Genetically Informed Prediction Model for Suicidal and Aggressive Behaviour in Teens
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Tate, Ashley E, primary, Akingbuwa, Wonuola, additional, Karlsson, Robert, additional, Hottenga, Jouke-Jan, additional, Pool, René, additional, Boman, Magnus, additional, Larsson, Henrik, additional, Lundstrom, Sebastian, additional, Lichtenstein, Paul, additional, Middeldorp, Christel, additional, Bartels, Meike, additional, and Kuja-Halkola, Ralf, additional
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- 2022
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34. Racial/Ethnic Disparities in HIV Preexposure Prophylaxis Among Men Who Have Sex with Men — 23 Urban Areas, 2017
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Kanny, Dafna, Jeffries, William L., Chapin-Bardales, Johanna, Denning, Paul, Cha, Susan, Finlayson, Teresa, Wejnert, Cyprian, Abrego, Meaghan, Al-Tayyib, Alia, Anderson, Bridget, Barak, Narquis, Beckford, Jeremy M., Bolden, Barbara, Brady, Kathleen A., Brandt, Mary-Grace, Brantley, Meredith, Braunstein, Sarah, Buyu, Celestine, Cano, Rosalinda, Carrillo, Sidney, Deng, Jie, Diepstra, Karen, Doherty, Rose, Flynn, Anna, Flynn, Colin, Forrest, David, German, Danielle, Glick, Sara, Godette, Henry, Griffin, Vivian, Higgins, Emily, Ick, Theresa, Jaenicke, Tom, Jimenez, Antonio D., Khuwaja, Salma, Klevens, Monina, Kuo, Irene, Lopez, Zaida, Ma, Yingbo, Masiello Schuette, Stephanie, Mattson, Melanie, McGoy, Shanell L., Melton, David, Miranda De León, Sandra, Nixon, Willie, Nnumolu, Chrysanthus, O’Cleirigh, Conall, Opoku, Jenevieve, Orellana, E. Roberto, Padgett, Paige, Poe, Jonathon, Raymond, H. Fisher, Reid, Toyah, Rivera, Alexis, Robinson, William T., Rolón-Colón, Yadira, Rosack, Randi, Schafer, Sean, Sey, Ekow Kwa, Shinefeld, Jennifer, Spencer, Emma, Tate, Ashley, Todd, Jeff, Vaaler, Margaret, Wogayehu, Afework, and Wortley, Pascale
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Adult ,Male ,Health Knowledge, Attitudes, Practice ,Health (social science) ,Adolescent ,Urban Population ,Epidemiology ,Health, Toxicology and Mutagenesis ,media_common.quotation_subject ,Ethnic group ,Human immunodeficiency virus (HIV) ,HIV Infections ,medicine.disease_cause ,White People ,Men who have sex with men ,Young Adult ,03 medical and health sciences ,Pre-exposure prophylaxis ,0302 clinical medicine ,Health Information Management ,immune system diseases ,030225 pediatrics ,Humans ,Medicine ,Full Report ,030212 general & internal medicine ,Homosexuality ,Healthcare Disparities ,Homosexuality, Male ,Young adult ,reproductive and urinary physiology ,media_common ,business.industry ,Hiv incidence ,virus diseases ,Hispanic or Latino ,General Medicine ,Middle Aged ,United States ,Racial ethnic ,Black or African American ,Pre-Exposure Prophylaxis ,business ,Demography - Abstract
In 2017, preliminary data show that gay, bisexual, and other men who have sex with men (MSM) accounted for 67% of new diagnoses of human immunodeficiency virus (HIV) infection, that MSM who inject drugs accounted for an additional 3%, and that African American/black (black) and Hispanic/Latino (Hispanic) MSM were disproportionately affected (1). During 2010-2015, racial/ethnic disparities in HIV incidence increased among MSM; in 2015, rates among black and Hispanic MSM were 10.5 and 4.9 times as high, respectively, as the rate among white MSM (compared with 9.2 and 3.8 times as high, respectively, in 2010) (2). Increased use of preexposure prophylaxis (PrEP), which reduces the risk for sexual acquisition of HIV infection by approximately 99% when taken daily as prescribed,* would help to reduce these disparities and support the Ending the HIV Epidemic: A Plan for America initiative† (3). Although PrEP use has increased among all MSM since 2014 (4), racial/ethnic disparities in PrEP use could increase existing disparities in HIV incidence among MSM (5). To understand racial/ethnic disparities in PrEP awareness, discussion with a health care provider, and use (steps in the HIV PrEP continuum of care) (6), CDC analyzed 2017 National HIV Behavioral Surveillance (NHBS) data. Black and Hispanic MSM were significantly less likely than were white MSM to be aware of PrEP, to have discussed PrEP with a health care provider, or to have used PrEP within the past year. Among those who had discussed PrEP with a health care provider within the past year, 68% of white MSM, 62% of Hispanic MSM, and 55% of black MSM, reported PrEP use. Prevention efforts need to increase PrEP use among all MSM and target eliminating racial/ethnic disparities in PrEP use.§.
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- 2019
35. Changes in HIV Preexposure Prophylaxis Awareness and Use Among Men Who Have Sex with Men — 20 Urban Areas, 2014 and 2017
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Finlayson, Teresa, Cha, Susan, Xia, Ming, Trujillo, Lindsay, Denson, Damian, Prejean, Joseph, Kanny, Dafna, Wejnert, Cyprian, Abrego, Meaghan, Al-Tayyib, Alia, Anderson, Bridget, Barak, Narquis, Bayang, Lissa, Beckford, Jeremy M., Benbow, Nanette, Bolden, Barbara, Brady, Kathleen A., Brandt, Mary-Grace, Braunstein, Sarah, Burt, Richard, Cano, Rosalinda, Carrillo, Sidney, Deng, Jie, Doherty, Rose, Flynn, Anna, Flynn, Colin, Forrest, David, Fukuda, Dawn, German, Danielle, Glick, Sara, Godette, Henry, Griffin, Vivian, Higgins, Emily, Ick, Theresa, Jaenicke, Tom, Jimenez, Antonio D., Khuwaja, Salma, Klevens, Monina, Kuo, Irene, LaLota, Marlene, Lopez, Zaida, Ma, Yingbo, Macomber, Kathryn, Masiello Schuette, Stephanie, Mattson, Melanie, Melton, David, Miranda De León, Sandra, Neaigus, Alan, Nixon, Willie, Nnumolu, Chrysanthus, Novoa, Alicia, O’Cleirigh, Conall, Opoku, Jenevieve, Padgett, Paige, Poe, Jonathon, Prachand, Nikhil, Raymond, H. Fisher, Rehman, Hafeez, Reilly, Kathleen H., Rivera, Alexis, Robinson, William T., Rolón-Colón, Yadira, Sato, Kimi, Schacht, John-Mark, Sey, Ekow Kwa, Sheu, Shane, Shinefeld, Jennifer, Shpaner, Mark, Sinclair, Amber, Smith, Lou, Spencer, Emma, Tate, Ashley, Thiede, Hanne, Todd, Jeff, Tovar-Moore, Veronica, Vaaler, Margaret, Wittke, Chris, Wogayehu, Afework, Wortley, Pascale, and Zarwell, Meagan C.
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Adult ,Male ,Health Knowledge, Attitudes, Practice ,Health (social science) ,Adolescent ,Urban Population ,Epidemiology ,Health, Toxicology and Mutagenesis ,media_common.quotation_subject ,MEDLINE ,HIV Infections ,01 natural sciences ,Men who have sex with men ,Young Adult ,03 medical and health sciences ,Pre-exposure prophylaxis ,0302 clinical medicine ,Health Information Management ,Environmental health ,Health care ,Humans ,Medicine ,Full Report ,030212 general & internal medicine ,Homosexuality ,Homosexuality, Male ,0101 mathematics ,Young adult ,Epidemics ,Human services ,media_common ,business.industry ,010102 general mathematics ,virus diseases ,Hispanic or Latino ,General Medicine ,United States ,Black or African American ,Pre-Exposure Prophylaxis ,Rural area ,business - Abstract
In February 2019, the U.S. Department of Health and Human Services proposed a strategic initiative to end the human immunodeficiency (HIV) epidemic in the United States by reducing new HIV infections by 90% during 2020-2030* (1). Phase 1 of the Ending the HIV Epidemic initiative focuses on Washington, DC; San Juan, Puerto Rico; and 48 counties where the majority of new diagnoses of HIV infection in 2016 and 2017 were concentrated and on seven states with a disproportionate occurrence of HIV in rural areas relative to other states.† One of the four pillars in the initiative is protecting persons at risk for HIV infection using proven, comprehensive prevention approaches and treatments, such as HIV preexposure prophylaxis (PrEP), which is the use of antiretroviral medications that have proven effective at preventing infection among persons at risk for acquiring HIV. In 2014, CDC released clinical PrEP guidelines to health care providers (2) and intensified efforts to raise awareness and increase the use of PrEP among persons at risk for infection, including gay, bisexual, and other men who have sex with men (MSM), a group that accounted for an estimated 68% of new HIV infections in 2016 (3). Data from CDC's National HIV Behavioral Surveillance (NHBS) were collected in 20 U.S. urban areas in 2014 and 2017, covering 26 of the geographic areas included in Phase I of the Ending the HIV Epidemic initiative, and were compared to assess changes in PrEP awareness and use among MSM. From 2014 to 2017, PrEP awareness increased by 50% overall, with >80% of MSM in 17 of the 20 urban areas reporting PrEP awareness in 2017. Among MSM with likely indications for PrEP (e.g., sexual risk behaviors or recent bacterial sexually transmitted infection [STI]), use of PrEP increased by approximately 500% from 6% to 35%, with significant increases observed in all urban areas and in almost all demographic subgroups. Despite this progress, PrEP use among MSM, especially among black and Hispanic MSM, remains low. Continued efforts to improve coverage are needed to reach the goal of 90% reduction in HIV incidence by 2030. In addition to developing new ways of connecting black and Hispanic MSM to health care providers through demonstration projects, CDC has developed resources and tools such as the Prescribe HIV Prevention program to enable health care providers to integrate PrEP into their clinical care.§ By routinely testing their patients for HIV, assessing HIV-negative patients for risk behaviors, and prescribing PrEP as needed, health care providers can play a critical role in this effort.
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- 2019
36. Association and Familial Coaggregation of Type 1 Diabetes and Eating Disorders : A Register-Based Cohort Study in Denmark and Sweden
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Tate, Ashley E., Liu, Shengxin, Zhang, Ruyue, Yilmaz, Zeynep, Larsen, Janne T., Petersen, Liselotte V., Bulik, Cynthia M., Svensson, Ann-Marie, Gudbjörnsdottir, Soffia, Larsson, Henrik, Butwicka, Agnieszka, Kuja-Halkola, Ralf, Tate, Ashley E., Liu, Shengxin, Zhang, Ruyue, Yilmaz, Zeynep, Larsen, Janne T., Petersen, Liselotte V., Bulik, Cynthia M., Svensson, Ann-Marie, Gudbjörnsdottir, Soffia, Larsson, Henrik, Butwicka, Agnieszka, and Kuja-Halkola, Ralf
- Abstract
OBJECTIVE: To ascertain the association and coaggregation of eating disorders and childhood-onset type 1 diabetes in families. RESEARCH DESIGN AND METHODS: = 1,825,920), we investigated the within-individual association between type 1 diabetes and eating disorders and their familial coaggregation among full siblings, half siblings, full cousins, and half cousins. On the basis of clinical diagnoses, we classified eating disorders into any eating disorder (AED), anorexia nervosa (AN) and atypical AN, and other eating disorder (OED). Associations were determined with hazard ratios (HRs) with 95% CIs from Cox regressions. RESULTS: Swedish and Danish individuals with a type 1 diabetes diagnosis had a greater risk of receiving an eating disorder diagnosis (HR [95% CI] Sweden: AED 2.02 [1.80-2.27], AN 1.63 [1.36-1.96], OED 2.34 [2.07-2.63]; Denmark: AED 2.19 [1.84-2.61], AN 1.78 [1.36-2.33], OED 2.65 [2.20-3.21]). We also meta-analyzed the results: AED 2.07 (1.88-2.28), AN 1.68 (1.44-1.95), OED 2.44 (2.17-2.72). There was an increased risk of receiving an eating disorder diagnosis in full siblings in the Swedish cohort (AED 1.25 [1.07-1.46], AN 1.28 [1.04-1.57], OED 1.28 [1.07-1.52]); these results were nonsignificant in the Danish cohort. CONCLUSIONS: Patients with type 1 diabetes are at a higher risk of subsequent eating disorders; however, there is conflicting support for the relationship between having a sibling with type 1 diabetes and an eating disorder diagnosis. Diabetes health care teams should be vigilant about disordered eating behaviors in children and adolescents with type 1 diabetes., Funding Agencies:United States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute of Mental Health (NIMH) K01-MH-109782 R01-MH-105500 R01-MH120170 R01-MH-119084 U01-MH109528LundbeckfondenR276-2018-4581Stockholm Region 20180718Karolinska Institutet Strategic Research Programme in Neuroscience
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- 2021
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37. Association and Familial Coaggregation of Type 1 Diabetes and Eating Disorders: A Register-Based Cohort Study in Denmark and Sweden
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Tate, Ashley E., primary, Liu, Shengxin, primary, Zhang, Ruyue, primary, Yilmaz, Zeynep, primary, Larsen, Janne T., primary, Petersen, Liselotte V, primary, Bulik, Cynthia M., primary, Svensson, Ann-Marie, primary, Gudbjörnsdottir, Soffia, primary, Larsson, Henrik, primary, Butwicka, Agnieszka, primary, and Kuja-Halkola, Ralf, primary
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- 2021
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38. Mock Jurors' Perceptions of Student Maturity in Teacher-Student Sexual Offenses
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Castrogiovanni, Hannah, Dollison, Ashlyn, Elmore, Travis, Tate, Ashley, Nelson, Arianna, Call, Alissa Anderson, and Wingrove, Twila A
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- 2020
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39. Attention-deficit/hyperactivity disorder symptoms and dietary habits in adulthood : A large population-based twin study in Sweden
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Li, Lin, Taylor, Mark J., Balter, Katarina, Kuja-Halkola, Ralf, Chen, Qi, Hegvik, Tor-Arne, Tate, Ashley E., Chang, Zheng, Arias-Vasquez, Alejandro, Hartman, Catharina A., Larsson, Henrik, Li, Lin, Taylor, Mark J., Balter, Katarina, Kuja-Halkola, Ralf, Chen, Qi, Hegvik, Tor-Arne, Tate, Ashley E., Chang, Zheng, Arias-Vasquez, Alejandro, Hartman, Catharina A., and Larsson, Henrik
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Associations between adult attention-deficit/hyperactivity disorder (ADHD) symptoms and dietary habits have not been well established and the underlying mechanisms remain unclear. We explored these associations using a Swedish population-based twin study with 17,999 individuals aged 20-47 years. We estimated correlations between inattention and hyperactivity/impulsivity with dietary habits and fitted twin models to determine the genetic and environmental contributions. Dietary habits were defined as (a) consumption of food groups, (b) consumption of food items rich in particular macronutrients, and (c) healthy and unhealthy dietary patterns. At the phenotypic level, inattention was positively correlated with seafood, high-fat, high-sugar, high-protein food consumptions, and unhealthy dietary pattern, with correlation coefficients ranging from 0.03 (95%CI: 0.01, 0.05) to 0.13 (95% CI: 0.11, 0.15). Inattention was negatively correlated with fruits, vegetables consumptions and healthy dietary pattern, with correlation coefficients ranging from -0.06 (95%CI: -0.08, -0.04) to -0.07 (95%CI: -0.09, -0.05). Hyperactivity/impulsivity and dietary habits showed similar but weaker patterns compared to inattention. All associations remained stable across age, sex and socioeconomic status. Nonshared environmental effects contributed substantially to the correlations of inattention (56-60%) and hyperactivity/impulsivity (63-80%) with dietary habits. The highest and lowest genetic correlations were between inattention and high-sugar food (r(A)= .16, 95% CI: 0.07, 0.25), and between hyperactivity/impulsivity and unhealthy dietary pattern (r(A)= .05, 95% CI: -0.05, 0.14), respectively. We found phenotypic and etiological overlap between ADHD and dietary habits, although these associations were weak. Our findings contribute to a better understanding of common etiological pathways between ADHD symptoms and various dietary habits.
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- 2020
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40. Predicting mental health problems in adolescence using machine learning techniques
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Tate, Ashley E., McCabe, Ryan C., Larsson, Henrik, Lundström, Sebastian, Lichtenstein, Paul, Kuja-Halkola, Ralf, Tate, Ashley E., McCabe, Ryan C., Larsson, Henrik, Lundström, Sebastian, Lichtenstein, Paul, and Kuja-Halkola, Ralf
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BACKGROUND: Predicting which children will go on to develop mental health symptoms as adolescents is critical for early intervention and preventing future, severe negative outcomes. Although many aspects of a child's life, personality, and symptoms have been flagged as indicators, there is currently no model created to screen the general population for the risk of developing mental health problems. Additionally, the advent of machine learning techniques represents an exciting way to potentially improve upon the standard prediction modelling technique, logistic regression. Therefore, we aimed to I.) develop a model that can predict mental health problems in mid-adolescence II.) investigate if machine learning techniques (random forest, support vector machines, neural network, and XGBoost) will outperform logistic regression. METHODS: In 7,638 twins from the Child and Adolescent Twin Study in Sweden we used 474 predictors derived from parental report and register data. The outcome, mental health problems, was determined by the Strengths and Difficulties Questionnaire. Model performance was determined by the area under the receiver operating characteristic curve (AUC). RESULTS: Although model performance varied somewhat, the confidence interval overlapped for each model indicating non-significant superiority for the random forest model (AUC = 0.739, 95% CI 0.708-0.769), followed closely by support vector machines (AUC = 0.735, 95% CI 0.707-0.764). CONCLUSION: Ultimately, our top performing model would not be suitable for clinical use, however it lays important groundwork for future models seeking to predict general mental health outcomes. Future studies should make use of parent-rated assessments when possible. Additionally, it may not be necessary for similar studies to forgo logistic regression in favor of other more complex methods., Funding Agencies:Swedish Council for Working Life, funds under the ALF Söderstrom Königska Foundation European Union (EU) 721567Swedish Initiative for Research on Microdata in the Social And Medical Sciences (SIMSAM) 340-2013-5867
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- 2020
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41. Huntington Disease Mice Exhibit a TCF7L2-Responsive Suppression of Both Homeostatic and Compensatory Remyelination
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Benraiss, Abdellatif, primary, Mariani, John N., additional, Tate, Ashley, additional, Solly, Renee, additional, Capellano, Laetitia, additional, L. de Mesy Bentley, Karen, additional, Chandler-Militello, Devin, additional, and Goldman, Steven, additional
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- 2021
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42. Different Types of Childhood Experience With Mothers and Caregiving Outcomes in Adulthood
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Kong, Jooyoung, primary, Martire, Lynn M., additional, Tate, Ashley M., additional, Bray, Bethany C., additional, and Almeida, David M., additional
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- 2020
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43. Attention‐deficit/hyperactivity disorder symptoms and dietary habits in adulthood: A large population‐based twin study in Sweden
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Li, Lin, primary, Taylor, Mark J., additional, Bälter, Katarina, additional, Kuja‐Halkola, Ralf, additional, Chen, Qi, additional, Hegvik, Tor‐Arne, additional, Tate, Ashley E., additional, Chang, Zheng, additional, Arias‐Vásquez, Alejandro, additional, Hartman, Catharina A., additional, and Larsson, Henrik, additional
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- 2020
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44. Genome-wide association meta-analysis of childhood and adolescent internalising symptoms
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Jami, Eshim S, primary, Hammerschlag, Anke R, additional, Ip, Hill F, additional, Allegrini, Andrea G, additional, Benyamin, Beben, additional, Border, Richard, additional, Diemer, Elizabeth W, additional, Jiang, Chang, additional, Karhunen, Ville, additional, Lu, Yi, additional, Lu, Qing, additional, Mallard, Travis T, additional, Mishra, Pashupati P, additional, Nolte, Ilja M, additional, Palviainen, Teemu, additional, Peterson, Roseann E, additional, Sallis, Hannah M, additional, Shabalin, Andrey A, additional, Tate, Ashley E, additional, Thiering, Elisabeth, additional, Vilor-Tejedor, Natàlia, additional, Wang, Carol, additional, Zhou, Ang, additional, Adkins, Daniel E, additional, Alemany, Silvia, additional, Ask, Helga, additional, Chen, Qi, additional, Corley, Robin P, additional, Ehli, Erik A, additional, Evans, Luke M, additional, Havdahl, Alexandra, additional, Hagenbeek, Fiona A, additional, Hakulinen, Christian, additional, Henders, Anjali K, additional, Hottenga, Jouke Jan, additional, Korhonen, Tellervo, additional, Mamun, Abdullah, additional, Marrington, Shelby, additional, Neumann, Alexander, additional, Rimfeld, Kaili, additional, Rivadeneira, Fernando, additional, Silberg, Judy L, additional, van Beijsterveldt, Catharina E, additional, Vuoksimaa, Eero, additional, Whipp, Alyce M, additional, Xiaoran, Tong, additional, Andreassen, Ole A, additional, Boomsma, Dorret, additional, Brown, Sandra A, additional, Burt, S Alexandra, additional, Copeland, William, additional, Costello, Elizabeth J, additional, Dick, Danielle M, additional, Eaves, Lindon J, additional, Harden, K Paige, additional, Harris, Kathleen Mullan, additional, Hartman, Catharina A, additional, Heinrich, Joachim, additional, Hewitt, John K, additional, Hopfer, Christian, additional, Hypponen, Elina, additional, Jarvelin, Marjo-Riitta, additional, Kaprio, Jaakko, additional, Keltikangas-Järvinen, Liisa, additional, Klump, Kelly L, additional, Krauter, Kenneth, additional, Kuja-Halkola, Ralf, additional, Larsson, Henrik, additional, Lehtimäki, Terho, additional, Lichtenstein, Paul, additional, Lundstrom, Sebastian, additional, Maes, Hermine H, additional, Magnus, Per, additional, Munafò, Marcus R, additional, Najman, Jake M, additional, Njølstad, Pål R, additional, Oldehinkel, Albertine J, additional, Pennell, Craig E, additional, Plomin, Robert, additional, Reichborn-Kjennerud, Ted, additional, Reynolds, Chandra, additional, Rose, Richard J, additional, Smolen, Andrew, additional, Snieder, Harold, additional, Stallings, Michael, additional, Standl, Marie, additional, Sunyer, Jordi, additional, Tiemeier, Henning, additional, Wadsworth, Sally, additional, Wall, Tamara L, additional, Whitehouse, Andrew J O, additional, Williams, Gail M, additional, Ystrom, Eivind, additional, Nivard, Michel G, additional, Bartels, Meike, additional, and Middeldorp, Christel M, additional
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- 2020
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45. Association and Familial Coaggregation of Type 1 Diabetes and Eating Disorders: A Register-Based Cohort Study in Denmark and Sweden
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Tate, Ashley E., primary, Liu, Shengxin, additional, Zhang, Ruyue, additional, Yilmaz, Zeynep, additional, Larsen, Janne T., additional, Petersen, Liselotte V., additional, Bulik, Cynthia M., additional, Svensson, Ann-Marie, additional, Gudbjörnsdottir, Soffia, additional, Larsson, Henrik, additional, Butwicka, Agnieszka, additional, and Kuja-Halkola, Ralf, additional
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- 2020
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46. Predicting mental health problems in adolescence using machine learning techniques
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Tate, Ashley E., primary, McCabe, Ryan C., additional, Larsson, Henrik, additional, Lundström, Sebastian, additional, Lichtenstein, Paul, additional, and Kuja-Halkola, Ralf, additional
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- 2020
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47. THE UNIQUE IMPORTANCE OF RELATIONSHIP QUALITY FOR COMMUNITY-DWELLING OLDER ADULTS
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Tate, Ashley M, primary and Martire, Lynn, primary
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- 2019
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48. The Howard Hustle: Bison Helps Students Market Themselves with Career Building Service
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Tate, Ashley TateBy Corinne DorseyAshley
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Career development ,Web site design ,Technology ,Aesthetics ,Social media ,Journalism ,Company marketing practices ,News, opinion and commentary ,Sports and fitness ,Instagram (Online service) -- Marketing - Abstract
Byline: Ashley TateBy Corinne DorseyAshley Tate Hot & Branded logo by Ashley Tate By Corinne Dorsey Ashley Tate, a sophomore journalism major, is the brains behind branding company, Hot and [...]
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- 2019
49. Different Types of Childhood Experience With Mothers and Caregiving Outcomes in Adulthood.
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Kong, Jooyoung, Martire, Lynn M., Tate, Ashley M., Bray, Bethany C., and Almeida, David M.
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EXPERIENCE in children ,MOTHER-child relationship ,ABUSED children ,MATERNAL love ,DISCIPLINE of children ,CAREGIVERS ,AGING parents - Abstract
Objective and Background: The current study examines the types of childhood experiences with mothers (i.e., maternal abuse, affection, discipline) among caregivers of aging mothers and investigates whether membership in specific latent classes, particularly maternal maltreatment, is associated with psychological functioning among caregivers. Method: Using data from the Midlife in the United States (MIDUS), we used the Bolck, Croon, and Hagenaars approach of latent class analysis to predict distal outcomes. Results: We identified four latent classes (prevalence rate noted): "Affectionate and authoritative" (65%), "affectionate and permissive" (11%), "emotionally abusive and neglectful" (8%), and "emotionally/physically abusive and authoritative" (16%). Caregivers in the "emotionally/physically abusive and authoritative" class endorsed high probabilities of both maternal affection and abuse and were most negatively affected across the three psychological functioning outcomes (i.e., self‐rated mental health, psychological distress, and psychological well‐being). Conclusion: In support of the life course perspective, our findings emphasized the importance of examining adult children caregivers' early life experiences with aging mothers and how those experiences can impact the psychological effects of caregiving. Implications: This study suggests specific practice implications; for example, assessment tools for evaluating caregiver burden should consider life course factors, such as caregivers' childhood experiences with aging parents. [ABSTRACT FROM AUTHOR]
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- 2021
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50. Implementation of Case-Based Surveillance and Real-time Polymerase Chain Reaction to Monitor Bacterial Meningitis Pathogens in Chad
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Paye, Marietou F, primary, Gamougame, Kadidja, additional, Payamps, Sarah K, additional, Feagins, Alicia R, additional, Moto, Daugla Doumagoum, additional, Moyengar, Ronelngar, additional, Naïbeï, Nathan, additional, Vuong, Jeni, additional, Diallo, Alpha Oumar, additional, Tate, Ashley, additional, Soeters, Heidi M, additional, Wang, Xin, additional, and Acyl, Mahamat Ali, additional
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- 2019
- Full Text
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