HRS Bibliography

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Lim Y, Kim KTae. Afraid of the stock market. Review of Quantitative Finance and Accounting. 2019;53:773–810. doi:10.1007/s11156-018-0766-x.
Marden JR, Walter S, Kaufman JS, M. Glymour M. African Ancestry, Social Factors, and Hypertension Among Non-Hispanic Blacks in the Health and Retirement Study. Biodemography Soc Biol. 2016;62(1):19-35. doi:10.1080/19485565.2015.1108836.
http://www.ncbi.nlm.nih.gov/pubmed/27050031?dopt=Abstract
Choi NG, Kim JS. Age group differences in depressive symptoms among older adults with functional impairments. Health Soc Work. 2007;32(3):177-88. doi:10.1093/hsw/32.3.177.
http://www.ncbi.nlm.nih.gov/pubmed/17896674?dopt=Abstract
Kemp BR, Garcia M. AGE OF MIGRATION AND THE HEALTH STATUS OF OLDER LATINOS: FINDINGS FROM THE HEALTH AND RETIREMENT STUDY. Innovation in Aging. 2021;5(S1):454.
Karlsson I, Lehto K, Gatz M, Reynolds CA, Aslan AKDahl. Age-dependent effects of body mass index across the adult life span on the risk of dementia: a cohort study with a genetic approach. BMC medicine. 2020;18(1). doi:10.1186/s12916-020-01600-2.
Willis RJ. Ageing in the U.S.: The Health and Retirement Study. In: Kemp PA, Van den Bosch K, Smith L, eds. Social Protection in and Ageing World (International Series on Social Security). Vol. 13. Social Protection in and Ageing World (International Series on Social Security). Portland, OR: Intersentia; 2008:47-61.
Thyagarajan B, Faul J, Vivek S, et al. Age-related differences in T cell subsets in a nationally representative sample of people over age 55: Findings from the Health and Retirement Study. The Journals of Gerontology, Series A . 2022;77(5):927-933. doi:10.1093/gerona/glab300.
Stenholm S, Westerlund H, Salo P, et al. Age-related trajectories of physical functioning in work and retirement: The role of sociodemographic factors, lifestyle and disease. Journal of Epidemiology and Community Health. 2014;68(6):503-509. doi:10.1136/jech-2013-203555.
Andrasfay T, Kim JK, Ailshire JA, Crimmins E. Aging on the job? The association between occupational characteristics and accelerated biological aging. The Journals of Gerontology, Series B. 2023;78(7):1236-1245. doi:10.1093/geronb/gbad055.
Kim J, Dawkins C. Aging, Property Taxes, and Housing Adjustments: Lessons From the Health and Retirement Study. Housing Policy Debate. 2021;31(6):947-966. doi:10.1080/10511482.2021.1887319.
Kelley MS, Bernard MA, Hodes RJ. Aging research: Collaborations forge a promising future. Journal of the American Geriatric Society. 2017;65(11):2441-2445. doi:10.1111/jgs.15052.
http://www.ncbi.nlm.nih.gov/pubmed/28857125?dopt=Abstract
Keyes KM, Calvo E, Ornstein KA, et al. Alcohol consumption in later life and mortality in the United States: Results from 9 waves of the Health and Retirement Study. Alcoholism, Clinical and Experimental Research. 2019. doi:10.1111/acer.14125.
http://www.ncbi.nlm.nih.gov/pubmed/31276233?dopt=Abstract
Bobo JKay, Greek AA, Klepinger DH, Herting JR. Alcohol use trajectories in two cohorts of U.S. women aged 50 to 65 at baseline. J Am Geriatr Soc. 2010;58(12):2375-80. doi:10.1111/j.1532-5415.2010.03180.x.
http://www.ncbi.nlm.nih.gov/pubmed/21087226?dopt=Abstract
Carr DC, Willis RJ, Kail BLennox, Carstensen L. Alternative retirement paths and cognitive performance: Exploring the role of preretirement job complexity. The Gerontologist. 2020;60(3). doi:10.1093/geront/gnz079.
Gysler M, Kruse J, Schubert R. Ambiguity and Gender Differences in Financial Decision Making: An Experimental Examination of Competence and Confidence Effects. Swiss Federal Institute of Technology; 2002. doi:https://doi.org/10.3929/ethz-a-004339594.
Kim J, Lahiri K. American HALE at midlife: An analysis based on HRS. Journal of Human Capital. 2022;16(1). doi:https://doi.org/10.1086/717545 .
Gaugler JE, Hovater M, Roth DL, Johnston JA, Kane RL, Sarsour K. Analysis of Cognitive, Functional, Health Service Use, and Cost Trajectories Prior to and Following Memory Loss. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2013;68(4):562-567. doi:10.1093/geronb/gbs078.
Lutz MW, Brown MM, Kucgibhatla M, et al. Analysis of pleiotropic genetic effects on cognitive decline and systemic inflammation in the Women’s Health Initiative Memory Study. Alzheimer's & Dementia. 2021;17:e050784. doi:10.1002/alz.050784.
Lutz MW, Casanova R, Saldana S, Kuchibhatla M, Plassman BL, Hayden KM. Analysis of pleiotropic genetic effects on cognitive impairment, systemic inflammation, and plasma lipids in the Health and Retirement Study. Neurobiology of Aging. 2019;80:173-186. doi:10.1016/j.neurobiolaging.2018.10.028.
http://www.ncbi.nlm.nih.gov/pubmed/31201950?dopt=Abstract
Divani AA, Hoonjan A, Hesselbirg J, Halik L, Dunbar S, Khan S. Analysis of poststroke sleep abnormality from health and retirement study survey, 2002. Stroke. 2006;37(2):687 -688.
Direk N, Williams S, Smith JA, et al. An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression Phenotype. Biological Psychiatry. 2017;82(5):322-329. doi:10.1016/j.biopsych.2016.11.013.
Direk N, Williams S, Smith JA, et al. An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression Phenotype. Biological Psychiatry. 2017;82(5):322-329. doi:10.1016/j.biopsych.2016.11.013.
Direk N, Williams S, Smith JA, et al. An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression Phenotype. Biological Psychiatry. 2017;82(5):322-329. doi:10.1016/j.biopsych.2016.11.013.
Direk N, Williams S, Smith JA, et al. An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression Phenotype. Biological Psychiatry. 2017;82(5):322-329. doi:10.1016/j.biopsych.2016.11.013.
French E, Kamboj K. Analyzing the Relationship Between Health Insurance, Health Costs, and Health Care Utilization. Economic Perspectives. 2002;3Q:60-72.