HRS Bibliography

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2020

Graham E, Weston SJ, Turiano NA, et al. Is Healthy Neuroticism Associated with Health Behaviors? A Coordinated Integrative Data Analysis. Collabra: Psychology. 2020;6(1). doi:http://doi.org/10.1525/collabra.266.
Ameriks J, Kezdi G, Lee M, Shapiro MD. Heterogeneity in Expectations, Risk Tolerance, and Household Stock Shares: The Attenuation Puzzle. Journal of Business & Economic StatisticsJournal of Business & Economic Statistics. 2020;38(3):633 - 646. doi:10.1080/07350015.2018.1549560.
Mitchell UA, Gutierrez-Kapheim M, Nguyen AW, Al-Amin N. Hopelessness among Middle-aged and Older Blacks: The Negative Impact of Discrimination and Protecting Power of Social and Religious Resources. Innovation in Aging. 2020;4(5):igaa044. doi:10.1093/geroni/igaa044.
Armour P. How Did the Reintroduction of the Social Security Statement Change Workers' Expectations and Plans?. 2020;80(4).
Silver SR, Alarcon WA, Li J. Incident chronic obstructive pulmonary disease associated with occupation, industry, and workplace exposures in the Health and Retirement Study. American Journal of Industrial Medicine. 2020. doi:10.1002/ajim.23196.
Ornstein KA, Plick N, Ankuda CK. Kinlessness at the End of Life in the United States: Implications for Place of Death, and Quality of Life Among Older Adults. Innovation in Aging. 2020;4(Supplement_1):604 . doi:https://doi.org/10.1093/geroni/igaa057.2037.
Armstrong-Fears E. Leadership and End-of-Life Planning Among Elderly Patients With End-Stage Renal Disease. Healthcare Administration. 2020;Doctor of Philosophy.
Bolano D, Arpino B. Life After Death: Widowhood and Volunteering Gendered Pathways Among Older Adults. Demographic Research. 2020;43:581-616. doi:10.4054/DemRes.2020.43.21.
Lee Y, Chi I, Ailshire JA. Life transitions and leisure activity engagement among older Americans: findings from a national longitudinal study. Ageing and Society. 2020;40(3):537-564. doi:10.1017/S0144686X18001101.
Macinko J, Mambrini JVaz de Mel, de Andrade FBof, Andrade FCristina D, Lazalde GE, Lima-Costa MFernanda. Life-course risk factors are associated with activity of daily living disability in older adults. European Journal of Public Health. 2020. doi:10.1093/eurpub/ckaa156.
Kumar RG, Ornstein KA, Bollens-Lund E, et al. Lifetime History of Traumatic Brain Injury is Associated with Increased Loneliness in Adults: A U.S. Nationally Representative Study. International Journal of Geriatric Psychiatry. 2020;35(5):553-563. doi:10.1002/gps.5271.
Mudrazija S, Angel JL, Cipin I, Smolic S. Living Alone in the United States and Europe: The Impact of Public Support on the Independence of Older Adults. Sage Journals. 2020;42(5-6):150-162. doi:https://doi.org/10.1177/0164027520907332.
Choi YJin, Ailshire JA, Crimmins EM. Living alone, social networks in neighbourhoods, and daily fruit and vegetable consumption among middle-aged and older adults in the USA. Public Health Nutrition. 2020;23(18):3315-3323. doi:10.1017/S1368980020002475.
Segel-Karpas D, Ayalon L. Loneliness and hostility in older adults: A cross-lagged model. Psychology and Aging. 2020;35(2):169–176. doi:10.1037/pag0000417.
Virtanen M, Jokela M, Lallukka T, et al. Long working hours and change in body weight: analysis of individual-participant data from 19 cohort studies. International Journal of Obesity. 2020;44:1368 - 1375. doi:10.1038/s41366-019-0480-3.
De Roo AC, Li Y, Abrahamse PH, Regenbogen SE, Suwanabol PA. Long-term Functional Decline After High-Risk Elective Colorectal Surgery in Older Adults. Diseases of the colon and rectum. 2020;63(1):75 - 83. doi:10.1097/DCR.0000000000001541.
Brown LL, Abrams LR, Mitchell UA, Ailshire JA. Measuring More Than Exposure: Does Stress Appraisal Matter for Black-White Differences in Anxiety and Depressive Symptoms among Older Adults?. Innovation in Aging. 2020;4(5):igaa040. doi:https://doi.org/10.1093/geroni/igaa040.
Brown LL, Abrams LR, Mitchell UA, Ailshire JA. Measuring More Than Exposure: Does Stress Appraisal Matter for Black-White Differences in Anxiety and Depressive Symptoms among Older Adults?. Innovation in Aging. 2020;4(5):igaa040. doi:https://doi.org/10.1093/geroni/igaa040.
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.