HRS Bibliography

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Zai CC, Fabbri C, Hosang GM, et al. Genome-wide association study of suicidal behaviour severity in mood disorders. World Journal of Biological Psychiatry. 2021;22(9):722-731. doi:10.1080/15622975.2021.1907711.
Van Winkle Z, Conley DC. Genome-Wide Heritability Estimates for Family Life Course Complexity. Demography. 2021;58((4):1575-1602. doi:10.1215/00703370-9373608.
Joshi PK, Pirastu N, Kentistou KA, et al. Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity. Nature Communications. 2017;8(1):910. doi:10.1038/s41467-017-00934-5.
Mekli K, Phillips DF, Arpawong TE, et al. Genome-wide scan of depressive symptomatology in two representative cohorts in the United States and the United Kingdom. Journal of Psychiatric Research. 2018;100:63-70. doi:10.1016/j.jpsychires.2018.01.016.
Guo G, Wang L, Liu H, Randall T. Genomic assortative mating in marriages in the United States. PLoS One. 2014;9(11):e112322. doi:10.1371/journal.pone.0112322.
http://www.ncbi.nlm.nih.gov/pubmed/25384046?dopt=Abstract
Ware EB, Faul J. Genomic data measures and methods: a primer for social scientists. In: Ferraro KF, Carr D, eds. Handbook of Aging and the Social Sciences (Ninth Edition)Handbooks of Aging. Handbook of Aging and the Social Sciences (Ninth Edition)Handbooks of Aging. Academic Press; 2021:49-62. doi:https://doi.org/10.1016/B978-0-12-815970-5.00004-8.
Timmers PRhj, Mounier N, Lall K, et al. Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances. Elife. 2019;8:e39856. doi:10.7554/eLife.39856.
Robinson MR, English G, Moser G, et al. Genotype–covariate interaction effects and the heritability of adult body mass index. Nature Genetics. 2017;49(8):1174-1181. doi:10.1038/ng.3912.
Bianchi SM, McGarry K, Seltzer JA, Michigan Retirement Research Center. Geographic Dispersion and the Well-being of the Elderly. Ann Arbor, MI: Michigan Retirement Research Center, University of Michigan; 2010.
Rehkopf D, Domingue BW, Cullen MR. The Geographic Distribution of Genetic Risk as Compared to Social Risk for Chronic Diseases in the United States. Biodemography and Social Biology. 2016;62(1):126-42. doi:10.1080/19485565.2016.1141353.
http://www.ncbi.nlm.nih.gov/pubmed/27050037?dopt=Abstract
Nam TYob. Geographic Heterogeneity in Housing Market Risk and Portfolio Choice. Journal of Real Estate Finance and Economics. 2021;62(4):508-547. doi:10.1007/s11146-020-09762-9.
Chen LM, Norton EC, Langa KM, Le S, Epstein AM. Geographic variation in out-of-pocket expenditures of elderly Medicare beneficiaries. J Am Geriatr Soc. 2014;62(6):1097-104. doi:10.1111/jgs.12834.
http://www.ncbi.nlm.nih.gov/pubmed/24852182?dopt=Abstract
Han BH, Cotton BParker, Polydorou S, et al. Geriatric Conditions Among Middle-aged and Older Adults on Methadone Maintenance Treatment: A Pilot Study. Journal of Addiction Medicine. 2022;16(1):110-113. doi:10.1097/ADM.0000000000000808.
Cigolle CT, Langa KM, Kabeto MU, Tian Z, Blaum CS. Geriatric conditions and disability: the Health and Retirement Study. Ann Intern Med. 2007;147(3):156-64. doi:10.7326/0003-4819-147-3-200708070-00004.
http://www.ncbi.nlm.nih.gov/pubmed/17679703?dopt=Abstract
Cigolle CT, Lee PG, Langa KM, Lee Y-Y, Tian Z, Blaum CS. Geriatric conditions develop in middle-aged adults with diabetes. J Gen Intern Med. 2011;26(3):272-9. doi:10.1007/s11606-010-1510-y.
http://www.ncbi.nlm.nih.gov/pubmed/20878496?dopt=Abstract
Shah SJ, Fang MC, Jeon SY, Gregorich SE, Covinsky KE. Geriatric Syndromes and Atrial Fibrillation: Prevalence and Association with Anticoagulant Use in a National Cohort of Older Americans. Journal of the American Geriatrics Society. 2021;69(2):349-356. doi:10.1111/jgs.16822.
Cenzer I. Geriatrics principles in health care of older adults and the use of real-world data in aging-related research. 2020;Doctor of Philosophy.
Shen H-W, Perry TE. Giving Back and Staying Put: Volunteering as a Stabilizing Force in Relocation. J Hous Elderly. 2014;28(3):310-328. doi:10.1080/02763893.2014.930368.
http://www.ncbi.nlm.nih.gov/pubmed/25404786?dopt=Abstract
White-Means SI, Hong G-S. Giving Incentives of Adult Children Who Care for Disabled Parents. Journal of Consumer Affairs. 2001;35(2):364-389. doi:10.1111/j.1745-6606.2001.tb00119.x.
Curl AL, Stowe JD, Cooney TM, Proulx CM. Giving Up the Keys: How Driving Cessation Affects Engagement in Later Life. Gerontologist. 2014;54(3):423-433. doi:10.1093/geront/gnt037.
Kolli A, Kabeto M, McCammon R, Langa KM, Ehrlich JR. Glaucoma and cognitive function trajectories in a population-based study: Findings from the health and retirement study. Journal of the American Geriatrics Society. Forthcoming. doi:10.1111/jgs.17903.
News HD. Glaucoma Not Linked to Change in Cognitive Function.
Staudinger UM, Finkelstein R, Calvo E, Sivaramakrishnan K. A Global View on the Effects of Work on Health in Later Life. Gerontologist. 2016;56 Suppl 2:S281-92. doi:10.1093/geront/gnw032.
http://www.ncbi.nlm.nih.gov/pubmed/26994267?dopt=Abstract
Pappas C, Andel R, Infurna FJ, Seetharaman S. Glycated haemoglobin (HbA1c), diabetes and trajectories of change in episodic memory performance. J Epidemiol Community Health. 2017;71(2):115-120. doi:10.1136/jech-2016-207588.
http://www.ncbi.nlm.nih.gov/pubmed/27440936?dopt=Abstract
Li F-R, Zhang X-R, Zhong W-F, et al. Glycated hemoglobin and all-cause and cause-specific mortality among adults with and without diabetes. Journal of Clinical Endocrinology and Metabolism. 2019. doi:10.1210/jc.2018-02536.
http://www.ncbi.nlm.nih.gov/pubmed/30896760?dopt=Abstract