HRS Bibliography

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2021

Fisher J, Meier H, Faul J, Mitchell C, Crimmins EM, Thyagarajan B. Epigenome Wide Associations of Smoking Behavior in the Health and Retirement Study. Innovation in Aging. 2021;5(Suppl _1):668. doi:https://doi.org/10.1093/geroni/igab046.2503.
Mustillo SA, Miao L, Ferraro KF. Evaluating the Cumulative Impact of Childhood Misfortune: A Structural Equation Modeling Approach. Sociological Methods and Research. 2021;50(3):1073-1109. doi:10.1177/0049124119875957.
Kim S, Fuselier J, Welsh DA, Cherry KE, Myers L, S Jazwinski M. Feature selection algorithms enhance the accuracy of frailty indexes as measures of biological age. The Journals of Gerontology, Series A . 2021;76(8):1347-1355. doi:10.1093/gerona/glab018.
Friedman EM, Houle J, Cagney KA, Slaughter ME, Shih RA. The Foreclosure Crisis, Community Change, and the Cognitive Health of Older Adults. The Journals of Gerontology: Series B. 2021;76(5):956-967. doi:10.1093/geronb/gbaa047.
Stolz E, Hoogendijk EO, Mayerl H, Freidl W. Frailty Changes Predict Mortality in 4 Longitudinal Studies of Aging. The Journals of Gerontology: Series A . 2021;76(9):1619-1626. doi:10.1093/gerona/glaa266.
Fu Y, Sherris M, Xu M. Functional disability with systematic trends and uncertainty: A comparison between China and the U.S. . ARC Centre of Excellence in Population Ageing Research; 2021.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Fuentes Lde Las, Sung YJu, Noordam R, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2021;26(6):2111-2125. doi:10.1038/s41380-020-0719-3.
Smith JA, Kho M, Zhao W, Yu M, Mitchell C, Faul J. Genetic effects and gene-by-education interactions on episodic memory performance and decline in an aging population. Social Science & Medicine. 2021;271:112039. doi:10.1016/j.socscimed.2018.11.019.
http://www.ncbi.nlm.nih.gov/pubmed/30449520?dopt=Abstract
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.
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.
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.
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.
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.
Blanchett D, Finke MS. Guaranteed Income: A License to Spend. SSRN. 2021.
Fang C. Health and Retirement Study Imputation of Lifetime Earnings: Data Description and Technical Documentation. Ann Arbor, MI: Institute for Social Research, University of Michigan ; 2021.PDF icon HRS Imputation of Lifetime Earnings.pdf (297.85 KB)