HRS Bibliography

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Benítez-Silva H. Micro Determinants of Labor Force Status Among Older Americans. SUNY-Stony Brook; 2000.
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.
Imbriano P. Methods for Improving Efficiency of Planned Missing Data Designs. Biostatistics. 2018;PhD:110.
United States Congressional Office. Methods for Analysis of the Financing and Use of Long-Term Services and Supports. Washington, DC; 2013.
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.
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.
Times TNew York, News KFFHealth. Methodology for Analysis of the U.S. Health and Retirement Study. Dying Broke.
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
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.
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
Tweedy MP. Metabolic Syndrome and Psychosocial Factors. 2009.
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.
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.
http://www.ncbi.nlm.nih.gov/pubmed/30124842?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.
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.
Fisher GG, Stachowski A, Infurna FJ, Faul J, Grosch J, Tetrick LE. Mental work demands, retirement, and longitudinal trajectories of cognitive functioning. J Occup Health Psychol. 2014;19(2):231-42. doi:10.1037/a0035724.
http://www.ncbi.nlm.nih.gov/pubmed/24635733?dopt=Abstract
Bingley P, Martinello A. Mental retirement and schooling. European Economic Review. 2013;63(October 2013):292-298. doi:http://dx.doi.org/10.1016/j.euroecorev.2013.01.004.
Clouston SAP, Denier N. Mental retirement and health selection: Analyses from the U.S. Health and Retirement Study. Social Science & Medicine. 2017;178:78-86. doi:10.1016/j.socscimed.2017.01.019.
Rohwedder S, Willis RJ. Mental Retirement. J Econ Perspect. 2010;24(1):119-138. doi:10.1257/jep.24.1.119.
http://www.ncbi.nlm.nih.gov/pubmed/20975927?dopt=Abstract
Brostow DP, Gunzburger E, Abbate LM, Brenner LA, Thomas KS. Mental illness, not obesity status, is associated with food insecurity among the elderly in the Health and Retirement Study. Journal of Nutrition in Gerontology and Geriatrics. 2019;38(2):149-172. doi:10.1080/21551197.2019.1565901.
http://www.ncbi.nlm.nih.gov/pubmed/30794096?dopt=Abstract
Rauf T. Mental Health Effects of Income over the Adult Life Course. Socius. 2023;9:23780231231186072. doi:10.1177/23780231231186072.
Courtin E, Dowd JB, Avendano M. The Mental Health Benefits of Acquiring a Home in Older Age: A Fixed-Effects Analysis of Older Americans. American Journal of Epidemiology. 2018;187(3):465–473. doi:10.1093/aje/kwx278.
Bogan VL, Fertig AR. Mental health and retirement savings: Confounding issues with compounding interest. Health Economics. 2018;27:404-425. doi:https://doi.org/10.1002/hec.3579.
Steffick DE. Mental Health and Labor Market Outcomes. 2002.