HRS Bibliography

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Journal Article

Nicholas LHersch, Maclean JCatherine. The effect of medical marijuana laws on the health and labor supply of older adults: Evidence from the Health and Retirement Study. Journal of Policy Analysis and Management. 2019;38(2):455-480. doi:10.1002/pam.22122.
Bradley CJ, Neumark D, Motika M. The effects of health shocks on employment and health insurance: the role of employer-provided health insurance. Int J Health Care Finance Econ. 2012;12(4):253-67. doi:10.1007/s10754-012-9113-2.
http://www.ncbi.nlm.nih.gov/pubmed/22983813?dopt=Abstract
Ng BPeng, Jensen GA, Fritz H. Effects of Medicare coverage of a "Welcome-to-Medicare" visit on use of preventive services among new Medicare enrollees. Journal of Aging Research. 2017. doi:10.1155/2017/2074810.
http://www.ncbi.nlm.nih.gov/pubmed/28546878?dopt=Abstract
Ryan LH, Newton NJ, Chauhan PK, Chopik WJ. Effects of Pre-Retirement Personality, Health and Job Lock on Post-Retirement Subjective Well-being. Translational Issues in Psychological Science. 2017;3(4):378-387. doi:10.1037/tps0000138.
http://www.ncbi.nlm.nih.gov/pubmed/29430485?dopt=Abstract
Neelakantan U. Estimation and Impact of Gender Differences in Risk Tolerance. Economic Inquiry. 2010;48(1):228-233.
Cutler DM, Miller G, Norton DM. Evidence on early-life income and late-life health from America's Dust Bowl era. Proceedings of the National Academy of Sciences. 2007;104(33):13244 - 13249. doi:10.1073/pnas.0700035104.
Lindrooth RC, Hoerger TJ, Norton EC. Expectations Among the Elderly About Nursing Home Entry. Health Services Research. 2000;35(5):1181-1202.
Steinman BA, Pynoos J, Nguyen AQD. Fall risk in older adults: roles of self-rated vision, home modifications, and limb function. J Aging Health. 2009;21(5):655-76. doi:10.1177/0898264309338295.
http://www.ncbi.nlm.nih.gov/pubmed/19494362?dopt=Abstract
Quach L, Gagnon D, Kaiser A, Nguyen U. FALLS AMONG OLDER AMERICAN MEN: THE ROLE OF PAIN AND MILITARY EXPERIENCES IN THE HEALTH AND RETIREMENT STUDY. Innovation in Aging. 2018;2(Suppl 1):150 - 151. doi:10.1093/geroni/igy023.545.
Ramanan VK, Nho K, Shen L, et al. FASTKD2 is associated with memory and hippocampal structure in older adults. Molecular Psychiatry. 2015;20(11):1197-1204. doi:10.1038/mp.2014.142.
Norredam M, Meara E, Landrum MBeth, Huskamp HA, Keating NL. Financial status, employment, and insurance among older cancer survivors. J Gen Intern Med. 2009;24 Suppl 2:S438-45. doi:10.1007/s11606-009-1034-5.
http://www.ncbi.nlm.nih.gov/pubmed/19838847?dopt=Abstract
Taylor, Jr. DH, Sloan FA, Norton EC. Formation of Trusts and Spend Down to Medicaid. The Journals of Gerontology: Social Sciences. 1999;54B(4):S194-201.
Noël-Miller CM. Former stepparents' contact with their stepchildren after midlife. J Gerontol B Psychol Sci Soc Sci. 2013;68(3):409-19. doi:10.1093/geronb/gbt021.
http://www.ncbi.nlm.nih.gov/pubmed/23591569?dopt=Abstract
Niles AN, Smirnova M, Lin JE, O'Donovan A. Gender differences in longitudinal relationships between depression and anxiety symptoms and inflammation in the Health and Retirement Study. Psychoneuroendocrinology. 2018;95:149-157. doi:10.1016/j.psyneuen.2018.05.035.
http://www.ncbi.nlm.nih.gov/pubmed/29864671?dopt=Abstract
Neelakantan U, Chang Y. Gender Differences in Wealth at Retirement. The American Economic Review. 2010;100(2):362.
Zhao W, Yasutake K, August C, et al. Gene-by-Psychosocial Factor Interactions Influence Diastolic Blood Pressure in European and African Ancestry Populations: Meta-Analysis of Four Cohort Studies. Int J Environ Res Public Health. 2017;14(12). doi:10.3390/ijerph14121596.
http://www.ncbi.nlm.nih.gov/pubmed/29258278?dopt=Abstract
Zhao W, Yasutake K, August C, et al. Gene-by-Psychosocial Factor Interactions Influence Diastolic Blood Pressure in European and African Ancestry Populations: Meta-Analysis of Four Cohort Studies. Int J Environ Res Public Health. 2017;14(12). doi:10.3390/ijerph14121596.
http://www.ncbi.nlm.nih.gov/pubmed/29258278?dopt=Abstract
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Bihlmeyer NA, Brody JA, Smith AVernon, et al. Genetic diversity is a predictor of mortality in humans. BMC Genetics. 2014;15:159. doi:10.1186/s12863-014-0159-7.
Locke AE, Kahali B, Berndt SI, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015;518(7538):197-206. doi:10.1038/nature14177.
http://www.ncbi.nlm.nih.gov/pubmed/25673413?dopt=Abstract
Locke AE, Kahali B, Berndt SI, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015;518(7538):197-206. doi:10.1038/nature14177.
http://www.ncbi.nlm.nih.gov/pubmed/25673413?dopt=Abstract