HRS Bibliography

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Deelen J, Evans DS, Arking DE, et al. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nature Communications. 2019;10(1):3669. doi:10.1038/s41467-019-11558-2.
http://www.ncbi.nlm.nih.gov/pubmed/31413261?dopt=Abstract
Yengo L, Sidorenko J, Kemper KE, et al. Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Human Molecular Genetics. 2018;27(20):3641-3649. doi:10.1093/hmg/ddy271.
Yengo L, Sidorenko J, Kemper KE, et al. Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Human Molecular Genetics. 2018;27(20):3641-3649. doi:10.1093/hmg/ddy271.
http://www.ncbi.nlm.nih.gov/pubmed/30124842?dopt=Abstract
Liu C, Kraja AT, Smith JA, Morrison AC, et al. Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci. Nat Genet. 2016;48(10):1162-70. doi:10.1038/ng.3660.
Zaheed AB, Chervin RD, Spira AP, Zahodne LB. Mental and Physical Health Pathways Linking Insomnia Symptoms to Cognitive Performance 14 Years Later. Sleep. 2023;46(3):zsac262. doi:10.1093/sleep/zsac262.
Zaheed AB, Chervin RD, Spira AP, Zahodne LB. Mental and Physical Health Pathways Linking Insomnia Symptoms to Cognitive Performance 14 Years Later. Sleep. 2023;46(3):zsac262. doi:10.1093/sleep/zsac262.
Lopes S, Shi L, Pan X, et al. Meditation and Cognitive Outcomes: A Longitudinal Analysis Using Data From the Health and Retirement Study 2000-2016. MINDFULNESS. 2023;14:1705-1717. doi:10.1007/s12671-023-02165-w.
McWilliams JM, Meara E, Zaslavsky AM, Ayanian JZ. Medicare Spending for Previously Uninsured Adults. Annals of Internal Medicine. 2009;151(11):757-66.
Zuckerman S, Shang B, Waidmann TA. Medicare savings programs: analyzing options for expanding eligibility. Inquiry. 2009;46(4):391-404. doi:10.5034/inquiryjrnl_46.4.391.
http://www.ncbi.nlm.nih.gov/pubmed/20184166?dopt=Abstract
Goldman DP, Zissimopoulos JM, Yang L. Medical Expenditure Measures in the Health and Retirement Study. Forum Health Econ Policy. 2011;14(3):4. doi:10.2202/1558-9544.1267.
http://www.ncbi.nlm.nih.gov/pubmed/24049512?dopt=Abstract
Zurlo KA. The mediating effects of the sense of control on the financial well-being of older adults. 2009;Ph.D.:228.
Zhou J. Measuring Altruism. Boulder, CO: University of Colorado, Boulder; 2020.
Zissimopoulos JM. Marriage and Wealth Changes at Older Ages. In: Couch KA, Daly MC, Zissimopoulos JM, eds. Lifecycle Events and Their Consequences: Job Loss, Family Change, and Declines in Health. Lifecycle Events and Their Consequences: Job Loss, Family Change, and Declines in Health. Stanford, CA: Stanford Economics and Finance; 2013:158-177. doi:DOI:10.11126/stanford/9780804785853.003.0009.
Zissimopoulos JM. Marriage and Wealth Changes at Older Ages. In: Couch KA, Daly MC, Zissimopoulos JM, eds. Lifecycle Events and Their Consequences: Job Loss, Family Change, and Declines in Health. Lifecycle Events and Their Consequences: Job Loss, Family Change, and Declines in Health. Stanford, CA: Stanford Economics and Finance; 2013:158-177. doi:DOI:10.11126/stanford/9780804785853.003.0009.
Liu H, Zhang Z, Langa KM. Marital status and dementia: Evidence from the Health and Retirement Study. Journals of Gerontology. Series B, Psychological Sciences and Social Sciences. 2020. doi:10.1093/geronb/gbz087.
Zhang Z, Liu H, Choi S-wonEmily. Marital loss and risk of dementia: Do race and gender matter?. Social Science & Medicine. 2021;275:113808. doi:10.1016/j.socscimed.2021.113808.
Zhang Z, Liu H, Zhang Y. Marital Loss and Cognitive Function: Does Timing Matter?. The Journals of Gerontology, Series B. 2022;77(10):1916-1927. doi:10.1093/geronb/gbac069.
Zhang Z, Liu H, Zhang Y. Marital Loss and Cognitive Function: Does Timing Matter?. The Journals of Gerontology, Series B. 2022;77(10):1916-1927. doi:10.1093/geronb/gbac069.
Zhang Z. Marital History and the Burden of Cardiovascular Disease in Midlife. The Gerontologist. 2006;46(2):266-70.
Zubair S, Sinha SK. MARGINAL MODELS FOR LONGITUDINAL COUNT DATA WITH DROPOUTS. Journal of Statistical Research. 2020;54. doi:https://doi.org/10.47302/jsr.2020540102.