HRS Bibliography

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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.
Tweedy MP. Metabolic Syndrome and Psychosocial Factors. 2009.
Pare G, Mao S, Deng WQ. A method to estimate the contribution of regional genetic associations to complex traits from summary association statistics. Sci Rep. 2016;6:27644. doi:10.1038/srep27644.
http://www.ncbi.nlm.nih.gov/pubmed/27273519?dopt=Abstract
Lee S, Smith J. Methodological Aspects of Subjective Life Expectancy: Effects of Culture-Specific Reporting Heterogeneity Among Older Adults in the United States. The Journals of Gerontology: Series B. 2016;71(3):558-568. doi:10.1093/geronb/gbv048.
Hurd MD, Rohwedder S. Methodological Innovations in Collecting Spending Data: The HRS Consumption and Activities Mail Survey. Fisc Stud. 2009;30(3-4):435-459. doi:10.1111/j.1475-5890.2009.00103.x.
http://www.ncbi.nlm.nih.gov/pubmed/21052480?dopt=Abstract
Briceño E, Mehdipanah R, Gonzales X, et al. Methods and Early Recruitment of a Community-Based Study of Cognitive Impairment Among Mexican Americans and Non-Hispanic Whites: The BASIC-Cognitive Study. Journal of Alzheimer's Disease. 2020;73(1):185-196. doi:10.3233/JAD-190761.
Chikomba A, Goulding A, Sanderson L, Sylvester A, Campbell-Meier J. Methods and (Lack of) Theory in Digital Inclusion, Digital Divide, and Digital Equity Research on Older Adults. Wellington, New Zealand: Victoria University of Wellington; 2023:1869.
United States Congressional Office. Methods for Analysis of the Financing and Use of Long-Term Services and Supports. Washington, DC; 2013.
Imbriano P. Methods for Improving Efficiency of Planned Missing Data Designs. Biostatistics. 2018;PhD:110.
Qiao Z, Powell J. MHC-Dependent Mate Selection within 872 Spousal Pairs of European Ancestry from the Health and Retirement Study. Genes. 2018;9(2):53. doi:10.3390/genes9010053.
Benítez-Silva H. Micro Determinants of Labor Force Status Among Older Americans. SUNY-Stony Brook; 2000.
Burkhauser RV, Smeeding TM. Microdata Panel Data and Public Policy: National and Cross-National Perspectives. Syracuse, NY: Syracuse University; 2000.
Reed E. The Microeconomic Effect of Longevity on Savings: Evidence from the Health and Retirement Study. 2005.
Quinn JF, Burkhauser RV, Cahill KE, Weathers, II RR. The Microeconomics of the Retirement Decision in the United States.; 1998.
Cahill KE, Giandrea MD, Quinn JF. A Micro-Level Analysis of Recent Increases in Labor Force Participation Among Older Workers. Boston: Center for Retirement Research at Boston College; 2008.
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.
B. Huber R. Middle-aged Americans report more pain than the elderly. Research News.
Bahrampour T. Middle-income seniors risk falling through cracks in housing market. The Washington Post. https://www.washingtonpost.com/dc-md-va/2019/05/28/middle-income-seniors-risk-falling-through-cracks-housing-market/?noredirect=on&utm_term=.91fda3cf4f5b. Published 2019.
Brown SL, Lin I-F, Vielee A, Mellencamp KA. Midlife Marital Dissolution and the Onset of Cognitive Impairment. Gerontologist. 2021;61(7):1085-1094. doi:10.1093/geront/gnaa193.
Verbrugge LM, Li X. Midlife trends in activities and disability. Journal of Aging and Health. 2014;26(2):178-206. doi:10.1177/0898264313508189.
Machado S, Sumarsono A, Vaduganathan M. Midlife Wealth Mobility and Long-term Cardiovascular Health. JAMA Cardiology. 2021;6(10):1152-1160. doi:10.1001/jamacardio.2021.2056.
Bradley DE, Van Willigen M. Migration and psychological well-being among older adults: a growth curve analysis based on panel data from the Health and Retirement Study, 1996-2006. J Aging Health. 2010;22(7):882-913. doi:10.1177/0898264310368430.
http://www.ncbi.nlm.nih.gov/pubmed/20495157?dopt=Abstract
Aguila E, Lee Z, Wong R. Migration, work, and retirement: the case of Mexican-origin populations. Journal of Pension Economics and Finance. 2023. doi:10.1017/S1474747221000342.
Levine DA, Galecki AT, Kabeto MU, et al. Mild cognitive impairment and receipt of procedures for acute ischemic stroke in older adults. Journal of Stroke and Cerebrovascular Diseases. 2020;29(10). doi:https://doi.org/10.1016/j.jstrokecerebrovasdis.2020.105083.
Levine DA, Langa KM, Galecki AT, et al. Mild Cognitive Impairment and Receipt of Treatments for Acute Myocardial Infarction in Older Adults. Journal of General Internal Medicine. 2020;35:28–35. doi:10.1007/s11606-019-05155-8.