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2020

A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
van Zon SKR, Reijneveld SA, Galaurchi A, de Leon CFMendes, Almansa J, Bültmann U. Multimorbidity and the Transition Out of Full-Time Paid Employment: A Longitudinal Analysis of the Health and Retirement Study. The Journals of Gerontology: Series B. 2020;75(3):705-715. doi:10.1093/geronb/gbz061.
Abramowitz J. New Insights on Self-Employment of Older Adults in the United States. Boston: Center for Retirement Research at Boston College; 2020.
Ayyagari P, Wang Y. Nursing Home Use Expectations and Wealth Accumulation Among Older Adults. Madison, WI: Center for Financial Security, University of Wisconsin-Madison; 2020.
Arbel R, Segel-Karpas D, Chopik WJ. Optimism, pessimism, and health biomarkers in older couples. British Journal of Health Psychology. 2020. doi:10.1111/bjhp.12466.
Amano T, Morrow-Howell N, Park SJung. Patterns of social engagement among older adults with mild cognitive impairment. The Journals of Gerontology, Series B: Psychological Sciences & Social Sciences. 2020;75(7):1361-1371. doi:10.1093/geronb/gbz051.
Villalonga-Olives E, Almansa J, Shaya F, Kawachi I. Perceived social capital and binge drinking in older adults: the Health and Retirement Study, US data from 2006-2014. Drug and Alcohol Dependence. 2020:108099. doi:10.1016/j.drugalcdep.2020.108099.
Pudrovska T, Anishkin A. Personal Mastery and the Medical, Financial, and Physical Cancer Burden: Gender and Race Differences Among Older Adults. Journal of Aging and Health. 2020. doi:10.1177/0898264320912611.
Sonnega A, Leggett AN, Pepin R, Assari S. Physical Activity and Insomnia Symptoms Over 10 Years in a U.S. National Sample of Late-Middle-Age and Older Adults: Age Matters. Journal of Aging and Physical Activity. 2020. doi:https://doi.org/10.1123/japa.2018-0337.
Andrasfay T, Goldman N. Physical functioning and survival: Is the link weaker among Latino and black older adults?. Social Science & Medicine. 2020;255:112983. doi:10.1016/j.socscimed.2020.112983.
Aschwanden D, Aichele S, Ghisletta P, et al. Predicting Cognitive Impairment and Dementia: A Machine Learning Approach. Journal of Alzheimer's disease : JAD. 2020;75(3):717-728. doi:10.3233/JAD-190967.
Aschwanden D, Aichele S, Ghisletta P, et al. Predicting Cognitive Impairment and Dementia: A Machine Learning Approach. Journal of Alzheimer's disease : JAD. 2020;75(3):717-728. doi:10.3233/JAD-190967.
Aschwanden D, Aichele S, Ghisletta P, et al. Predicting Cognitive Impairment and Dementia: A Machine Learning Approach. Journal of Alzheimer's disease : JAD. 2020;75(3):717-728. doi:10.3233/JAD-190967.
Hoffman GJ, Tinetti M, Ha J, Alexander NB, Min LC. Prehospital and Posthospital Fall Injuries in Older US Adults. JAMA Network Open. 2020;3(8). doi:https://doi.org/10.1001/jamanetworkopen.2020.13243.
Lee S, Lee C, An J. Psycho-social correlates of leisure-time physical activity (LTPA) among older adults: a multivariate analysis. European Review of Aging and Physical Activity. 2020;17(1). doi:https://doi.org/10.1186/s11556-020-00238-6.
Marone S, Bloore K, Sebastiani P, et al. Purpose in Life Among Centenarian Offspring. Journals of Gerontology Series B: Psychological Sciences & Social Sciences. 2020. doi:10.1093/geronb/gby023.
http://www.ncbi.nlm.nih.gov/pubmed/29522128?dopt=Abstract
Katz B, Turney I, Lee JHyun, Amini R, Ajrouch KJ, Antonucci TC. Race/Ethnic Differences in Social Resources as Cognitive Risk and Protective Factors. Research in Human Development. 2020;17(1):57-77. doi:10.1080/15427609.2020.1743809.
Katz B, Turney I, Lee JHyun, Amini R, Ajrouch KJ, Antonucci TC. Race/Ethnic Differences in Social Resources as Cognitive Risk and Protective Factors. Research in Human Development. 2020;17(1):57-77. doi:10.1080/15427609.2020.1743809.