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1. Childhood Residential Mobility and Mental and Physical Health in Later Life: Findings From the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study

Author

Yen, Irene H, Bennett, Aleena, Allen, Shauntice, Vable, Anusha, Long, D Leann, Brooks, Marquita, Ream, Robert K, Crowe, Michael, and Howard, Virginia J

Subjects
Epidemiology, Public Health, Health Sciences, Pediatric, Mental Health, Behavioral and Social Science, Stroke, Basic Behavioral and Social Science, Brain Disorders, Aging, 2.3 Psychological, social and economic factors, Aetiology, Good Health and Well Being, Humans, Aged, Race Factors, Social Class, Population Dynamics, African Americans, housing, physical function, childhood residential mobility, physical health, adverse childhood experiences disproportionately affect health, Black people may be especially disadvantaged, Clinical Sciences, Gerontology, Biomedical and clinical sciences, Health sciences, Psychology
Abstract

The study objective was to investigate the effects of childhood residential mobility on older adult physical and mental health. In REasons for Geographic and Racial Differences in Stroke (REGARDS) Study, we used linear regression models to investigate if number of moves during childhood predicted mental and physical health (SF-12 MCS, PCS), adjusting for demographic covariates, childhood socioeconomic status (SES), childhood social support, and adverse childhood experiences (ACEs). We investigated interaction by age, race, childhood SES, and ACEs. People who moved more during childhood had poorer MCS scores, β = -0.10, SE = 0.05, p = 0.03, and poorer PCS scores, β = -0.25, SE = 0.06, p < 0.0001. Effects of moves on PCS were worse for Black people compared to White people (p = 0.06), those with low childhood SES compared to high childhood SES (p = 0.02), and high ACEs compared to low ACEs (p = 0.01). As family instability accompanying residential mobility, family poverty, and adversity disproportionately affect health, Black people may be especially disadvantaged.

Published
2023

2. Demographic and Clinical Factors Associated With SARS-CoV-2 Spike 1 Antibody Response Among Vaccinated US Adults: the C4R Study

Author

Kim, John S., Sun, Yifei, Balte, Pallavi, Cushman, Mary, Boyle, Rebekah, Tracy, Russell P., Styer, Linda M., Bell, Taison D., Anderson, Michaela R., Allen, Norrina B., Schreiner, Pamela J., Bowler, Russell P., Schwartz, David A., Lee, Joyce S., Xanthakis, Vanessa, Doyle, Margaret F., Regan, Elizabeth A., Make, Barry J., Kanaya, Alka M., Wenzel, Sally E., Coresh, Josef, Isasi, Carmen R., Raffield, Laura M., Elkind, Mitchell S. V., Howard, Virginia J., Ortega, Victor E., Woodruff, Prescott, Cole, Shelley A., Henderson, Joel M., Mantis, Nicholas J., Parker, Monica M., Demmer, Ryan T., and Oelsner, Elizabeth C.

Published
2024
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4. Collaborative Cohort of Cohorts for COVID-19 Research (C4R) Study: Study Design

Author

Oelsner, Elizabeth C, Krishnaswamy, Akshaya, Balte, Pallavi P, Allen, Norrina Bai, Ali, Tauqeer, Anugu, Pramod, Andrews, Howard F, Arora, Komal, Asaro, Alyssa, Barr, R Graham, Bertoni, Alain G, Bon, Jessica, Boyle, Rebekah, Chang, Arunee A, Chen, Grace, Coady, Sean, Cole, Shelley A, Coresh, Josef, Cornell, Elaine, Correa, Adolfo, Couper, David, Cushman, Mary, Demmer, Ryan T, Elkind, Mitchell SV, Folsom, Aaron R, Fretts, Amanda M, Gabriel, Kelley P, Gallo, Linda C, Gutierrez, Jose, Han, Mei Lan K, Henderson, Joel M, Howard, Virginia J, Isasi, Carmen R, Jacobs, David R, Judd, Suzanne E, Mukaz, Debora Kamin, Kanaya, Alka M, Kandula, Namratha R, Kaplan, Robert C, Kinney, Gregory L, Kucharska-Newton, Anna, Lee, Joyce S, Lewis, Cora E, Levine, Deborah A, Levitan, Emily B, Levy, Bruce D, Make, Barry J, Malloy, Kimberly, Manly, Jennifer J, Mendoza-Puccini, Carolina, Meyer, Katie A, Min, Yuan-I Nancy, Moll, Matthew R, Moore, Wendy C, Mauger, David, Ortega, Victor E, Palta, Priya, Parker, Monica M, Phipatanakul, Wanda, Post, Wendy S, Postow, Lisa, Psaty, Bruce M, Regan, Elizabeth A, Ring, Kimberly, Roger, Véronique L, Rotter, Jerome I, Rundek, Tatjana, Sacco, Ralph L, Schembri, Michael, Schwartz, David A, Seshadri, Sudha, Shikany, James M, Sims, Mario, Stukovsky, Karen D Hinckley, Talavera, Gregory A, Tracy, Russell P, Umans, Jason G, Vasan, Ramachandran S, Watson, Karol E, Wenzel, Sally E, Winters, Karen, Woodruff, Prescott G, Xanthakis, Vanessa, Zhang, Ying, Zhang, Yiyi, and Investigators, for the C4R

Subjects
Public Health, Health Sciences, Social Determinants of Health, Basic Behavioral and Social Science, Coronaviruses Disparities and At-Risk Populations, Prevention, Coronaviruses, Infectious Diseases, Clinical Research, Emerging Infectious Diseases, Behavioral and Social Science, Aetiology, 2.4 Surveillance and distribution, Good Health and Well Being, Adolescent, Adult, Aged, Aged, 80 and over, COVID-19, Cohort Studies, Humans, Middle Aged, Pandemics, Prospective Studies, SARS-CoV-2, United States, Young Adult, cohort studies, coronavirus disease 2019, severe acute respiratory syndrome coronavirus 2, %22">>, C4R Investigators, severe acute respiratory syndrome coronavirus 2, Mathematical Sciences, Medical and Health Sciences, Epidemiology
Abstract

The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a national prospective study of adults comprising 14 established US prospective cohort studies. Starting as early as 1971, investigators in the C4R cohort studies have collected data on clinical and subclinical diseases and their risk factors, including behavior, cognition, biomarkers, and social determinants of health. C4R links this pre-coronavirus disease 2019 (COVID-19) phenotyping to information on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and acute and postacute COVID-related illness. C4R is largely population-based, has an age range of 18-108 years, and reflects the racial, ethnic, socioeconomic, and geographic diversity of the United States. C4R ascertains SARS-CoV-2 infection and COVID-19 illness using standardized questionnaires, ascertainment of COVID-related hospitalizations and deaths, and a SARS-CoV-2 serosurvey conducted via dried blood spots. Master protocols leverage existing robust retention rates for telephone and in-person examinations and high-quality event surveillance. Extensive prepandemic data minimize referral, survival, and recall bias. Data are harmonized with research-quality phenotyping unmatched by clinical and survey-based studies; these data will be pooled and shared widely to expedite collaboration and scientific findings. This resource will allow evaluation of risk and resilience factors for COVID-19 severity and outcomes, including postacute sequelae, and assessment of the social and behavioral impact of the pandemic on long-term health trajectories.

Published
2022

6. Physical Activity Volume, Intensity, and Mortality: Harmonized Meta-Analysis of Prospective Cohort Studies

Author

Tarp, Jakob, Dalene, Knut E., Fagerland, Morten W., Steene-Johannesen, Jostein, Hansen, Bjørge H., Anderssen, Sigmund A., Hagströmer, Maria, Dohrn, Ing-Mari, Dempsey, Paddy C., Wijndaele, Katrien, Brage, Søren, Nordström, Anna, Nordström, Peter, Diaz, Keith M., Howard, Virginia J., Hooker, Steven P., Morseth, Bente, Hopstock, Laila A., Sagelv, Edvard H., Yates, Thomas, Edwardson, Charlotte L., Lee, I-Min, and Ekelund, Ulf

Published
2024
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9. History of obstructive sleep apnea associated with incident cognitive impairment in white but not black individuals in a US national cohort study

Author

Sawyer, Russell P., Bennett, Aleena, Blair, Jessica, Molano, Jennifer, Timmerman, Emerlee, Foster, Forrest, Karkoska, Kristine, Hyacinth, Hyacinth I., Manly, Jennifer J., Howard, Virginia J., Petrov, Megan E., Hoffmann, Coles M., Yu, Fang, Demel, Stacie L., Aziz, Yasmin, Hooper, Destiny, Hill, Emily J., Johnson, Jamelle, Pounders, Johnson, and Shatz, Rhonna

Published
2023
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14. Life Course Biopsychosocial Effects of Retrospective Childhood Social Support and Later-Life Cognition

Author

Zahodne, Laura B, Sharifian, Neika, Manly, Jennifer J, Sumner, Jennifer A, Crowe, Michael, Wadley, Virginia G, Howard, Virginia J, Murchland, Audrey R, Brenowitz, Willa D, and Weuve, Jennifer

Subjects
Clinical and Health Psychology, Psychology, Mental Health, Pediatric, Mind and Body, Behavioral and Social Science, Basic Behavioral and Social Science, Brain Disorders, Acquired Cognitive Impairment, Aging, Clinical Research, Neurosciences, 2.3 Psychological, social and economic factors, Aetiology, Mental health, Good Health and Well Being, Aged, Aged, 80 and over, Cognition, Female, Humans, Longitudinal Studies, Male, Middle Aged, Retrospective Studies, Social Support, life span perspective, cognitive aging, education, perceived stress, body mass index, Cognitive Sciences, Experimental Psychology, Applied and developmental psychology, Biological psychology, Cognitive and computational psychology
Abstract

Social support during childhood lays the foundation for social relationships throughout the life course and has been shown to predict a wide range of mental and physical health outcomes. Social support measured in late life is prospectively associated with better cognitive aging, but few studies have evaluated social support received earlier in the life course. We quantified the effects of childhood social support, reported retrospectively, on later-life cognitive trajectories and investigated biopsychosocial mechanisms underlying these associations. Latent growth curve models estimated 10-year cognitive trajectories in 8,538 participants (baseline ages 45-93; Mage = 63) in the REasons for Geographic And Racial Differences in Stroke (REGARDS) project. Independent of sociodemographics, childhood socioeconomic status, and household size, greater retrospective childhood social support was associated with better initial episodic memory, but not verbal fluency or cognitive change, in later adulthood. Associations with initial memory level were mediated by sociodemographic and psychosocial variables; specifically, those who reported greater childhood social support reported higher educational attainment and had better physical and emotional health in adulthood, which were each associated with better memory. These results provide support for broad and enduring effects of childhood social support on mental, physical, and cognitive health decades later. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Published
2019

23. The predictive validity of a Brain Care Score for late-life depression and a composite outcome of dementia, stroke, and late-life depression: data from the UK Biobank cohort.

Author

Singh, Sanjula D., Rivier, Cyprien A., Papier, Keren, Chemali, Zeina, Gutierrez-Martinez, Leidys, Parodi, Livia, Mayerhofer, Ernst, Senff, Jasper, Clocchiatti-Tuozzo, Santiago, Nunley, Courtney, Newhouse, Amy, An Ouyang, Westover, M. Brandon, Tanzi, Rudolph E., Lazar, Ronald M., Pikula, Aleksandra, Ibrahim, Sarah, Brouwers, H. Bart, Howard, Virginia J., and Howard, George

Subjects
DISEASE risk factors, PROPORTIONAL hazards models, PREDICTIVE validity, DEMENTIA, RISK sharing
Abstract

Introduction: The 21-point Brain Care Score (BCS) is a novel tool designed to motivate individuals and care providers to take action to reduce the risk of stroke and dementia by encouraging lifestyle changes. Given that late-life depression is increasingly recognized to share risk factors with stroke and dementia, and is an important clinical endpoint for brain health, we tested the hypothesis that a higher BCS is associated with a reduced incidence of future depression. Additionally, we examined its association with a brain health composite outcome comprising stroke, dementia, and late-life depression. Methods: The BCS was derived from the United Kingdom Biobank baseline evaluation in participants with complete data on BCS items. Associations of BCS with the risk of subsequent incident late-life depression and the composite brain health outcome were estimated using multivariable Cox proportional hazard models. These models were adjusted for age at baseline and sex assigned at birth. Results: A total of 363,323 participants were included in this analysis, with a median BCS at baseline of 12 (IQR: 11-14). There were 6,628 incident cases of late-life depression during a median follow-up period of 13 years. Each five-point increase in baseline BCS was associated with a 33% lower risk of incident late-life depression (95% CI: 29%-36%) and a 27% lower risk of the incident composite outcome (95% CI: 24%-30%). Discussion: These data further demonstrate the shared risk factors across depression, dementia, and stroke. The findings suggest that a higher BCS, indicative of healthier lifestyle choices, is significantly associated with a lower incidence of late-life depression and a composite brain health outcome. Additional validation of the BCS is warranted to assess the weighting of its components, its motivational aspects, and its acceptability and adaptability in routine clinical care worldwide. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Life‐space mobility and cognitive function: The REasons for geographic and racial differences in stroke (REGARDS) study.

Author

Matsuda, Emiri, Crowe, Michael, Howard, Virginia J., Brown, Cynthia J., Sterling, Madeline R., and Levitan, Emily B.

Subjects
RISK assessment, CROSS-sectional method, INDEPENDENT living, AFRICAN Americans, INCOME, EXECUTIVE function, POPULATION geography, WHITE people, AGE distribution, RACE, NEUROPSYCHOLOGICAL tests, CORONARY artery disease, PHYSICAL mobility, EDUCATIONAL attainment, DISEASE risk factors
Abstract

The article presents a study on the association between life-space mobility and cognitive function and examines the role of atherosclerotic cardiovascular disease risk and race in this association. Topics discussed include the method used in the study, and the influence of characteristics that may be diminished in the presence of high ASCVD risk.

Published
2024
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27. Defining Optimal Brain Health in Adults

Author

Gorelick, Philip B, Furie, Karen L, Iadecola, Costantino, Smith, Eric E, Waddy, Salina P, Lloyd-Jones, Donald M, Bae, Hee-Joon, Bauman, Mary Ann, Dichgans, Martin, Duncan, Pamela W, Girgus, Meighan, Howard, Virginia J, Lazar, Ronald M, Seshadri, Sudha, Testai, Fernando D, van Gaal, Stephen, Yaffe, Kristine, Wasiak, Hank, and Zerna, Charlotte

Subjects
Health Services and Systems, Health Sciences, Acquired Cognitive Impairment, Aging, Prevention, Brain Disorders, Neurosciences, Cardiovascular, Dementia, Behavioral and Social Science, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Nutrition, Neurological, Stroke, Good Health and Well Being, Adult, Advisory Committees, American Heart Association, Brain, Cognition Disorders, Health Behavior, Health Promotion, Humans, United States, AHA Scientific Statements, aging, brain, cognitive dysfunction, prevention and control, risk factors, stroke, American Heart Association/American Stroke Association, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Neurology & Neurosurgery, Clinical sciences, Allied health and rehabilitation science
Abstract

Cognitive function is an important component of aging and predicts quality of life, functional independence, and risk of institutionalization. Advances in our understanding of the role of cardiovascular risks have shown them to be closely associated with cognitive impairment and dementia. Because many cardiovascular risks are modifiable, it may be possible to maintain brain health and to prevent dementia in later life. The purpose of this American Heart Association (AHA)/American Stroke Association presidential advisory is to provide an initial definition of optimal brain health in adults and guidance on how to maintain brain health. We identify metrics to define optimal brain health in adults based on inclusion of factors that could be measured, monitored, and modified. From these practical considerations, we identified 7 metrics to define optimal brain health in adults that originated from AHA's Life's Simple 7: 4 ideal health behaviors (nonsmoking, physical activity at goal levels, healthy diet consistent with current guideline levels, and body mass index

Published
2017

29. Contributors

Author

Adams, Harold P., primary, Adeoye, Opeolu, additional, Albers, Gregory W., additional, Alexandrov, Andrei V., additional, Amin-Hanjani, Sepideh, additional, An, Hongyu, additional, Anderson, Craig S., additional, Anrather, Josef, additional, Aparicio, Hugo J., additional, Arai, Ken, additional, Aronowski, Jaroslaw, additional, Atchaneeyasakul, Kunakorn, additional, Audebert, Heinrich, additional, Auer, Roland N., additional, Awad, Issam A., additional, Ay, Hakan, additional, Baltan, Selva, additional, Balu, Ramani, additional, Behbahani, Mandana, additional, Benavente, Oscar R., additional, Bershad, Eric M., additional, Berthaud, Jimmy V., additional, Blackburn, Spiros L., additional, Bonati, Leo H., additional, Bösel, Julian, additional, Bousser, Marie Germaine, additional, Broderick, Joseph P., additional, Brown, Martin M., additional, Brown, Wendy, additional, Brust, John C.M., additional, Bushnell, Cheryl, additional, Canhão, Patrícia, additional, Caplan, Louis R., additional, Carrión-Penagos, Julián, additional, Castellanos, Mar, additional, Caunca, Michelle R., additional, Chabriat, Hugues, additional, Chamorro, Angel, additional, Chen, Jieli, additional, Chen, Jun, additional, Chopp, Michael, additional, Christorforids, Greg, additional, Connolly, E. Sander, additional, Cramer, Steven C., additional, Cucchiara, Brett L., additional, Czap, Alexandra L., additional, Dannenbaum, Mark J., additional, Davis, Patricia H., additional, Dawson, Ted M., additional, Dawson, Valina L., additional, Day, Arthur L., additional, De Silva, T. Michael, additional, de Sousa, Diana Aguiar, additional, Del Brutto, Victor J., additional, del Zoppo, Gregory J., additional, Derdeyn, Colin P., additional, Di Tullio, Marco R., additional, Diener, Hans Christoph, additional, Diringer, Michael N., additional, Dobkin, Bruce H., additional, Dzialowski, Imanuel, additional, Elkind, Mitchell S.V., additional, Elm, Jordan, additional, Feigin, Valery L., additional, Ferro, José Manuel, additional, Field, Thalia S., additional, Fischer, Marlene, additional, Fornage, Myriam, additional, Furie, Karen L., additional, Garcia-Bonilla, Lidia, additional, Giannotta, Steven L., additional, Gobin, Y. Pierre, additional, Goldberg, Mark P., additional, Goldstein, Larry B., additional, Gonzales, Nicole R., additional, Greer, David M., additional, Grotta, James C., additional, Guo, Ruiming, additional, Gutierrez, Jose, additional, Harmel, Peter, additional, Howard, George, additional, Howard, Virginia J., additional, Hwang, Jee-Yeon, additional, Iadecola, Costantino, additional, Jahan, Reza, additional, Jickling, Glen C., additional, Joutel, Anne, additional, Kasner, Scott E., additional, Katan, Mira, additional, Kellner, Christopher P., additional, Khan, Muhib, additional, Kidwell, Chelsea S., additional, Kim, Helen, additional, Kim, Jong S., additional, Kircher, Charles E., additional, Krings, Timo, additional, Krishnamurthi, Rita V., additional, Kurth, Tobias, additional, Lansberg, Maarten G., additional, Levy, Elad I., additional, Liebeskind, David S., additional, Liew, Sook-Lei, additional, Lin, David J., additional, Lisle, Benjamin, additional, Lo, Eng H., additional, Lyden, Patrick D., additional, Maki, Takakuni, additional, Maragkos, Georgios A., additional, Marosfoi, Miklos, additional, McCullough, Louise D., additional, Meckler, Jason M., additional, Meschia, James Frederick, additional, Messé, Steven R., additional, Mocco, J, additional, Mokin, Maxim, additional, Mooney, Michael A., additional, Morgenstern, Lewis B., additional, Moskowitz, Michael A., additional, Mullen, Michael T., additional, Nägel, Steffen, additional, Nedergaard, Maiken, additional, Neira, Justin A., additional, Newman, Sarah, additional, Nicholson, Patrick J., additional, Norrving, Bo, additional, O’Donnell, Martin, additional, Ofengeim, Dimitry, additional, Ogata, Jun, additional, Ogilvy, Christopher S., additional, Orrù, Emanuele, additional, Ortega-Gutiérrez, Santiago, additional, Padrick, Matthew Maximillian, additional, Parsha, Kaushik, additional, Parsons, Mark, additional, Patel, Neil V., additional, Patel, Virendra I., additional, Pawlikowska, Ludmila, additional, Pérez, Adriana, additional, Perez-Pinzon, Miguel A., additional, Picard, John M., additional, Polster, Sean P., additional, Powers, William J., additional, Puetz, Volker, additional, Putaala, Jukka, additional, Rabinovich, Margarita, additional, Ransom, Bruce R., additional, Roa, Jorge A., additional, Rosenberg, Gary A., additional, Rossitto, Christina P., additional, Rundek, Tatjana, additional, Russin, Jonathan J., additional, Sacco, Ralph L., additional, Safouris, Apostolos, additional, Samaniego, Edgar A., additional, Sansing, Lauren H., additional, Satani, Nikunj, additional, Sattenberg, Ronald J., additional, Saver, Jeffrey L., additional, Savitz, Sean I., additional, Schmidt, Christian, additional, Seshadri, Sudha, additional, Sharma, Vijay K., additional, Sharp, Frank R., additional, Sheth, Kevin N., additional, Siddiqi, Omar K., additional, Singhal, Aneesh B., additional, Sobey, Christopher G., additional, Sommer, Clemens J., additional, Spetzler, Robert F., additional, Stapleton, Christopher J., additional, Strickland, Ben A., additional, Su, Hua, additional, Suarez, José I., additional, Takayama, Hiroo, additional, Tarsia, Joseph, additional, Tatlisumak, Turgut, additional, Thomas, Ajith J., additional, Thompson, John W., additional, Tsivgoulis, Georgios, additional, Tournier-Lasserve, Elizabeth, additional, Vidal, Gabriel, additional, Wakhloo, Ajay K., additional, Weksler, Babette B., additional, Willey, Joshua Z., additional, Wintermark, Max, additional, Wong, Lawrence K.S., additional, Xi, Guohua, additional, Xu, Jinchong, additional, Yaghi, Shadi, additional, Yamaguchi, Takenori, additional, Yang, Tuo, additional, Yasaka, Masahiro, additional, Zahuranec, Darin B., additional, Zhang, Feng, additional, Zhang, John H., additional, Zheng, Zhitong, additional, Zukin, R. Suzanne, additional, and Zweifler, Richard M., additional

Published
2022
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34. Abstract WMP19: A Brain Care Score for Risk of Late-Life Depression: Data From the UK Biobank Cohort

Author

Singh, Sanjula D, primary, Rivier, Cyprien, additional, Oreskovic, Tin, additional, Carr, Sinclair, additional, Papier, Keren, additional, Chemali, Zeina, additional, Guiterrez-Martinez, Leidys, additional, Mallick, Akashleena, additional, Parodi, Livia, additional, Mayerhofer, Ernst, additional, Senff, Jasper, additional, Kourkoulis, Christina, additional, Marini, Sandro, additional, Clocchiatti-Tuozzo, Santiago, additional, Nunley, Courtney, additional, Newhouse, Amy, additional, Ouyang, An, additional, Westover, Michael B, additional, Tanzi, Rudolph, additional, Lazar, Ronald M, additional, Pikula, Aleksandra, additional, Ibrahim, Sarah, additional, Brouwers, H, additional, Howard, Virginia J, additional, Howard, George, additional, Yechoor, Nirupama, additional, van Duijn, Cornelia, additional, Littlejohns, Thomas, additional, Sheth, Kevin N, additional, Rosand, Jonathan, additional, Fricchione, Gregory, additional, Anderson, Christopher D, additional, and Falcone, Guido J, additional

Published
2024
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35. Abstract 37: The Brain Care Score and Neuroimaging Markers in Asymptomatic Individuals in the UK Biobank

Author

Rivier, Cyprien, primary, Singh, Sanjula D, additional, Senff, Jasper, additional, Marini, Sandro, additional, Oreskovic, Tin, additional, Carr, Sinclair, additional, Papier, Keren, additional, Conroy, Megan, additional, Chemali, Zeina, additional, Gutierrez, Leidys, additional, Mallick, Akashleena, additional, Parodi, Livia, additional, Mayerhofer, Ernst, additional, Kourkoulis, Christina, additional, Clocchiatti-Tuozzo, Santiago, additional, Nunley, Courtney, additional, Payabvash, Sam, additional, Newhouse, Amy, additional, Ouyang, An, additional, Lazar, Ronald M, additional, Westover, Michael B, additional, Pikula, Aleksandra, additional, Ibrahim, Sarah, additional, Brouwers, Bart, additional, Howard, Virginia J, additional, Howard, George, additional, Yechoor, Nirupama, additional, van Duijn, Cornelia, additional, Littlejohns, Thomas, additional, Tanzi, Rudolph, additional, Fricchione, Gregory, additional, Sheth, Kevin N, additional, Rosand, Jonathan, additional, Anderson, Christopher D, additional, and Falcone, Guido J, additional

Published
2024
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36. Abstract WMP18: A Brain Care Score for Dementia and Stroke: Data From the UK Biobank Cohort

Author

Singh, Sanjula D, primary, Oreskovic, Tin, additional, Carr, Sinclair, additional, Papier, Keren, additional, Conroy, Megan, additional, Senff, Jasper, additional, Chemali, Zeina, additional, Gutierrez-Martinez, Leidys, additional, Parodi, Livia, additional, Mayerhofer, Ernst, additional, Marini, Sandro, additional, Nunley, Courtney, additional, Kourkoulis, Christina, additional, Newhouse, Amy, additional, Ouyang, An, additional, Brouwers, H B, additional, Westover, Brandon, additional, Rivier, Cyprien, additional, Falcone, Guido J, additional, Howard, Virginia J, additional, Howard, George, additional, Sheth, Kevin N, additional, Yechoor, Nirupama, additional, Lazar, Ronald M, additional, Anderson, Christopher D, additional, Tanzi, Rudolph, additional, Fricchione, Gregory, additional, Littlejohns, Thomas, additional, and Rosand, Jonathan, additional

Published
2024
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37. Abstract TP13: Association Between Education Level and Post-Stroke Cognitive Decline - A Pooled Cohort Analysis of Four Cohorts

Author

Springer, Mellanie V, primary, Whitney, Rachael T, additional, Ye, Wen, additional, Briceño, Emily M, additional, Gross, Alden L, additional, Aparicio, Hugo J, additional, Beiser, Alexa S, additional, Burke, James F, additional, Elkind, Mitchell S, additional, Ferber, Rebecca A, additional, Giordani, Bruno J, additional, Gottesman, Rebecca F, additional, Hayward, Rodney A, additional, Howard, Virginia J, additional, Kollipara, Adam S, additional, Koton, Silvia, additional, Lazar, Ronald M, additional, Longstreth, William T, additional, Pendlebury, Sarah T, additional, Sussman, Jeremy B, additional, Thacker, Evan L, additional, and Levine, Deborah A, additional

Published
2024
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38. Abstract 72: Association Between Stroke Subtype and Post-Stroke Cognitive Decline: A Pooled Cohort Analysis of Four Cohorts

Author

Levine, Deborah A, primary, Whitney, Rachael T, additional, Ye, Wen, additional, Briceño, Emily M, additional, Gross, Alden L, additional, Aparicio, Hugo J, additional, Beiser, Alexa S, additional, Elkind, Mitchell S, additional, Ferber, Rebecca A, additional, Giordani, Bruno J, additional, Gottesman, Rebecca F, additional, Howard, Virginia J, additional, Kollipara, Adam S, additional, Koton, Silvia, additional, Lazar, Ronald M, additional, Pendlebury, Sarah T, additional, Seshadri, Sudha, additional, Springer, Mellanie V, additional, Sussman, Jeremy B, additional, Burke, James F, additional, and Hayward, Rodney A, additional

Published
2024
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42. Diet pattern may affect fasting insulin in a large sample of black and white adults

Author

Gower, Barbara A., Pearson, Keith, Bush, Nikki, Shikany, James M., Howard, Virginia J., Cohen, Caroline W., and Tison, Stephanie E.

Subjects
Chronic diseases -- Risk factors -- Diet therapy, Insulin resistance -- Risk factors -- Complications and side effects, Diet -- Physiological aspects -- Health aspects, Food/cooking/nutrition, Health
Abstract

Objective Dietary modification of insulin resistance may be a strategy for reducing chronic disease. For this study, we tested the hypothesis that higher fasting insulin, a marker for insulin resistance, would be related to diet patterns with a high proportion of carbohydrates, those with a high glycemic index, and those characterized by added sugar and processed starches. Study design Data were analyzed on 13,528 nondiabetic participants of the REasons for Geographic and Ethnic Differences in Stroke (REGARDS), an observational study of adults aged [greater than or equal to]45 years residing in 1855 counties across the continental USA. Information on habitual diet was collected using the Block 98 Food Frequency Questionnaire. Percent energy from carbohydrate, glycemic index, and glycemic load were determined for each participant, as well as adherence to five established diet patterns. Logistic regression was used to examine associations of baseline diet characteristics with odds for high fasting insulin [quartiles 3 and 4 (median = 98.9 pmol/L) vs. quartile 1], after adjusting for covariates. Result Greater percent carbohydrate, glycemic index, and glycemic load, and adherence to sweets/fat and southern diet patterns, was associated with greater odds for high insulin (P for trend Conclusion In conclusion, diet pattern is associated with fasting insulin. Future studies are needed to determine if diet interventions designed to lower insulin, perhaps based on the patterns identified in this study, can improve risk for chronic disease., Author(s): Barbara A. Gower [sup.1] , Keith Pearson [sup.1] [sup.5] , Nikki Bush [sup.1] , James M. Shikany [sup.2] , Virginia J. Howard [sup.3] , Caroline W. Cohen [sup.1] , [...]

Published
2021
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50. Heart Disease and Stroke Statistics—2016 Update

Author

Mozaffarian, Dariush, Benjamin, Emelia J, Go, Alan S, Arnett, Donna K, Blaha, Michael J, Cushman, Mary, Das, Sandeep R, de Ferranti, Sarah, Després, Jean-Pierre, Fullerton, Heather J, Howard, Virginia J, Huffman, Mark D, Isasi, Carmen R, Jiménez, Monik C, Judd, Suzanne E, Kissela, Brett M, Lichtman, Judith H, Lisabeth, Lynda D, Liu, Simin, Mackey, Rachel H, Magid, David J, McGuire, Darren K, Mohler, Emile R, Moy, Claudia S, Muntner, Paul, Mussolino, Michael E, Nasir, Khurram, Neumar, Robert W, Nichol, Graham, Palaniappan, Latha, Pandey, Dilip K, Reeves, Mathew J, Rodriguez, Carlos J, Rosamond, Wayne, Sorlie, Paul D, Stein, Joel, Towfighi, Amytis, Turan, Tanya N, Virani, Salim S, Woo, Daniel, Yeh, Robert W, and Turner, Melanie B

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Health Sciences, Clinical Sciences, Sports Science and Exercise, American Heart Association, Data Interpretation, Statistical, Heart Diseases, Humans, Life Style, Research Report, Stroke, United States, AHA Scientific Statements, cardiovascular diseases, epidemiology, risk factors, statistics, stroke, Writing Group Members, American Heart Association Statistics Committee, Stroke Statistics Subcommittee, Cardiorespiratory Medicine and Haematology, Public Health and Health Services, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences, Sports science and exercise
Published
2016

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