HRS Bibliography

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2020

Verma C, Zhang M, Li M, Bergren S, Dong XQ. A Comparison of Cognitive Function in Pine Study to Health and Retirement Study & CHARLS Study. Innovation in Aging. 2020;4(Suppl 1):924. doi:10.1093/geroni/igaa057.3390.
Batty MM, Bricker J, Briggs JS, et al. The Distributional Financial Accounts of the United States. In: MEASURING DISTRIBUTION AND MOBILITY OF INCOME AND WEALTH. MEASURING DISTRIBUTION AND MOBILITY OF INCOME AND WEALTH. Chicago, IL: UNIVERSITY OF CHICAGO PRESS; 2020.
McLaughlin SJ, Brown KM, Vivoda JM, Connell CM. Driving Status and Religious Service Attendance among Older Americans. Activities, Adaptation & AgingActivities, Adaptation & Aging. 2020;44(2):132 - 145. doi:10.1080/01924788.2019.1618688.
Yahirun JJ, Vasireddy S, Hayward MD. The Education of Multiple Family Members and the Life-Course Pathways to Cognitive Impairment. The journals of gerontology. Series B, Psychological sciences and social sciences. 2020. doi:10.1093/geronb/gbaa039.
Papachristos A, Verropoulou G. On the Evaluation of ‘Self-perceived Age’ for Europeans and Americans. In: Skiadas CH, Skiadas C, eds. Demography of Population Health, Aging and Health Expenditures. Demography of Population Health, Aging and Health Expenditures. New York: Springer International Publishing; 2020:235 - 248. doi:https://doi.org/10.1007/978-3-030-44695-6_16.
Patterson SE, Margolis R, Verdery AM. Family embeddedness and older adult mortality in the United States. Population Studies. 2020;74(3):415-435. doi:10.1080/00324728.2020.1817529.
Ortiz K, Garcia M, Briceño E, et al. Glycosylated Hemoglobin Level, Race/Ethnicity, and Cognition in Midlife and Early Old Age. Research in Human Development. 2020;17(1):20 - 40. doi:10.1080/15427609.2020.1743810.
McGrath RP, Tomkinson GR, LaRoche DP, Vincent B, Bond CW, Hackney KJ. Handgrip Strength Asymmetry and Weakness May Accelerate Time to Mortality in Aging Americans. Journal of the American Medical Directors Association. 2020. doi:10.1016/j.jamda.2020.04.030.
Vega A, Velli E. Health and the share of wealth held in risky assets. Umea: Department of Economics, Umea University; 2020.
Vega A, Velli E. Health and the share of wealth held in risky assets. Umea: Department of Economics, Umea University; 2020.
Voss MW, Wadsworth L, Birmingham WChurch, et al. Health effects of late-career unemployment. Journal of Aging and Health. 2020;32(1):106-116. doi:10.1177/0898264318806792.
VanderWeele TJ. Hope for the Next Year, and Beyond.
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.
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.
Lee S, Vasquez E, Ryan LH, Smith J. Measurement Equivalence of Subjective Well-Being Scales under the Presence of Acquiescent Response Style for the Racially and Ethnically Diverse Older Population in the United States. Survey Research Methods. 2020;14(4):417-437. doi:10.18148/srm/2020.v14i4.7413.
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.
Laditka SB, Laditka JN, Jagger C. Microsimulation of Health Expectancies, Life Course Health, and Health Policy Outcomes. In: Jagger C, Crimmins EM, Saito Y, Yokota RTiene De C, Van Oyen H, Robine J-M, eds. International Handbooks of Population: International Handbook of Health Expectancies. Vol. 9. International Handbooks of Population: International Handbook of Health Expectancies. Basel: Springer International Publishing; 2020:129–138. doi:10.1007/978-3-030-37668-0_9.
George CJ, Verghese J. Motoric Cognitive Risk Syndrome in Polypharmacy. Journal of the American Geriatrics Society. 2020. doi:10.1111/jgs.16380.