HRS Bibliography

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Luo Y, LaPierre TA, Hughes MElizabeth, Waite LJ. Grandparents Providing Care to Grandchildren: A Population-Based Study of Continuity and Change. Journal of Family Issues. 2012;33(9):1143-1167. doi:10.1177/0192513X12438685.
Lu AT, Hannon E, Levine ME, et al. Genetic architecture of epigenetic and neuronal ageing rates in human brain regions. Nature Communications. 2017;8. doi:10.1038/ncomms15353.
Lu AT, Hannon E, Levine ME, et al. Genetic variants near MLST8 and DHX57 affect the epigenetic age of the cerebellum. Nat Commun. 2016;7:10561. doi:10.1038/ncomms10561.
http://www.ncbi.nlm.nih.gov/pubmed/26830004?dopt=Abstract
Lu P, Shelley M, Liu Y-L. Government Transfers and Poverty Alleviation among Older Adults in the United States from 2002 to 2014. Social Policy and Society. 2021;20(4):561-579. doi:10.1017/S147474642000041X.
Loprest P, Rupp K, Sandell SH. Gender, Disabilities, and Employment in the Health and Retirement Study. Journal of Human Resources. 1995;30(0 Suppl.):S293-318. doi:10.2307/146286.
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
Liu SY, Walter S, Marden JR, et al. Genetic vulnerability to diabetes and obesity: does education offset the risk?. Soc Sci Med. 2015;127:150-8. doi:10.1016/j.socscimed.2014.09.009.
http://www.ncbi.nlm.nih.gov/pubmed/25245452?dopt=Abstract
Liu H. Genetic architecture of socioeconomic outcomes: Educational attainment, occupational status, and wealth. Social Science Research. 2019;82:137-147. doi:10.1016/j.ssresearch.2019.04.008.
http://www.ncbi.nlm.nih.gov/pubmed/31300074?dopt=Abstract
Linnér RKarlsson, Koellinger PD. Genetic health risks, insurance, and retirement. Tilburg: Netspar; 2020.
Linnér RKarlsson, Koellinger PD. Genetic risk scores in life insurance underwriting. Journal of Health Economics. 2022;81:102556. doi:https://doi.org/10.1016/j.jhealeco.2021.102556.
Lin I-F, Brown SL, Mellencamp KA. Gray divorce and parent–child disconnectedness: Implications for depressive symptoms. Journal of Marriage and Family. 2023. doi:10.1111/jomf.12936.
Lin I-F, Brown SL, Mellencamp KA. Gray divorce and parent-child disconnectedness: Implications for depressive symptoms. Journal of Marriage and Family. 2024;86(1):95-110. doi:10.1111/jomf.12936.
Liang J, Bennett JM, Shaw BA, et al. Gender differences in functional status in middle and older age: are there any age variations?. J Gerontol B Psychol Sci Soc Sci. 2008;63(5):S282-92. doi:10.1093/geronb/63.5.s282.
http://www.ncbi.nlm.nih.gov/pubmed/18818448?dopt=Abstract
Li F-R, Zhang X-R, Zhong W-F, et al. Glycated hemoglobin and all-cause and cause-specific mortality among adults with and without diabetes. Journal of Clinical Endocrinology and Metabolism. 2019. doi:10.1210/jc.2018-02536.
http://www.ncbi.nlm.nih.gov/pubmed/30896760?dopt=Abstract
Li W-D, Wang J, Allen T, et al. Getting under the skin? Influences of work-family experiences on personality trait adaptation and reciprocal relationships. J Pers Soc Psychol. 2023. doi:10.1037/pspp0000476.
Li Y, Lu Y, Hurwitz EL, Wu Y. Gender Disparities of Heart Disease and the Association with Smoking and Alcohol Drinking Behavior Among the Middle-Aged and Older Population in the US and China, a Cross-Sectional Study of CHARLS and HRS Data. International Journal of Environmental Research and Public Health. 2022;19(4):2188. doi:10.21203/rs.3.rs-626338/v1.
Li Y, Lu Y, Hurwitz EL, Wu Y. Gender Disparities of Heart Disease and the Association with Smoking and Drinking Behavior among Middle-Aged and Older Adults, a Cross-Sectional Study of Data from the US Health and Retirement Study and the China Health and Retirement Longitudinal Study. International Journal of Environmental Research and Public Health. 2022;19(4):2188. doi:10.3390/ijerph19042188.
Levine ME, Crimmins EM. A Genetic Network Associated With Stress Resistance, Longevity, and Cancer in Humans. J Gerontol A Biol Sci Med Sci. 2016;71(6):703-12. doi:10.1093/gerona/glv141.
http://www.ncbi.nlm.nih.gov/pubmed/26355015?dopt=Abstract
Lee JJ, Wedow R, Okbay A, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics. 2018;50(8):1112-1121. doi:10.1038/s41588-018-0147-3.
http://www.ncbi.nlm.nih.gov/pubmed/30038396?dopt=Abstract
Lee J, Phillips DF, Wilkens J. Gateway to Global Aging Data: Resources for Cross-National Comparisons of Family, Social Environment, and Healthy Aging. The Journals of Gerontology: Series B . 2021;76(Supplement_1):S5-S16. doi:10.1093/geronb/gbab050.
Lee YG, Kim S. Gender and risk-bearing portfolio choices among older single workers: The role of human capital. Family and Consumer Sciences Research Journal. 2017;45(4):406-421. doi:10.1111/fcsr.12219.
Lazar DM, Begum M. GENERALIZED LINEAR MODELING OF A PANEL MOBILITY INDEX WITH CORRELATED MULTIVARIATE CATEGORICAL RESPONSES. Journal of Statistical Research. 2020;54(2):207-221. doi:10.47302/jsr.2020540207.
Lahti J, Tuominen S, Yang Q, et al. Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning. Molecular Psychiatry. 2022. doi:10.1038/s41380-022-01710-8.
Lachance M-E, Mitchell OS. Guaranteeing Defined Contribution Pensions: The Option to Buy-Back a Defined Benefit Promise. Cambridge, MA: The National Bureau of Economic Research; 2002. doi:10.3386/w8731.
Lachance M-E, Mitchell OS, Smetters K. Guaranteeing Defined Contribution Pensions: The Option to Buy Back a Defined Benefit Promise. Journal of Risk and Insurance. 2003;70(1).