HRS Bibliography

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M

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.
http://www.ncbi.nlm.nih.gov/pubmed/27618448?dopt=Abstract
Yang Y. Medicare Supplemental Insurance Purchasing Decisions and Ownership. 2007.
Goldman DP, Zissimopoulos JM, Yang L. Medical Expenditure Measures in the Health and Retirement Study. Forum for Health Economics and Policy. 2011;14(3):Article 4.
Yang FM, Jones RN. Measurement differences in depression: chronic health-related and sociodemographic effects in older Americans. Psychosom Med. 2008;70(9):993-1004. doi:10.1097/PSY.0b013e31818ce4fa.
http://www.ncbi.nlm.nih.gov/pubmed/18981269?dopt=Abstract
Borella M, De Nardi M, Yang F. Marriage-related Policies in an Estimated Life-cycle Model of Households' Labor Supply and Savings for Two Cohorts. Ann Arbor, MI: Michigan Retirement Research Center; 2017:1-79.
Yao R, Park E. Market Performance And The Timing Of Retirement. Journal of Personal Finance. 2012;11(1):10-48.
Bulanda JR, J. Brown S, Yamashita T. Marital quality, marital dissolution, and mortality risk during the later life course. Soc Sci Med. 2016;165:119-127. doi:10.1016/j.socscimed.2016.07.025.
http://www.ncbi.nlm.nih.gov/pubmed/27509579?dopt=Abstract
Choi H, Yorgason JB, Johnson DR. Marital Quality and Health in Middle and Later Adulthood: Dyadic Associations. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2016;71(1):154-164. doi:10.1093/geronb/gbu222.
Yu Y-L. Marital biography and chronic disease progression in mid- and late life. Sociology. 2016;Ph.D.:126.
Yu RP, Ellison NB, McCammon RJ, Langa K. Mapping the Two Levels of Digital Divide: Internet Access and Social Network Site Adoption among Older Adults in the USA. Information, Communication and Society. 2016;19(10):1445-1464. doi:10.1080/1369118X.2015.1109695.

L

Yang MSee, Hedeker D. A life-span approach to examining older vulnerable population's subjective well-being: The role of adversity and trauma. Aging and Mental Health. 2019. doi:10.1080/13607863.2019.1652245.
http://www.ncbi.nlm.nih.gov/pubmed/31402675?dopt=Abstract
Harris TF, Yelowitz A. Life insurance holdings and well-being of surviving spouses. Contemporary Economic Policy. 2018;36(3):526 - 538. doi:10.1111/coep.2018.36.issue-310.1111/coep.12211.
Zhang Z, Hayward MD, Yu Y-L. Life Course Pathways to Racial Disparities in Cognitive Impairment among Older Americans. J Health Soc Behav. 2016;57(2):184-99. doi:10.1177/0022146516645925.
http://www.ncbi.nlm.nih.gov/pubmed/27247126?dopt=Abstract
Day FR, Ruth KS, Thompson DJ, et al. Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair. Nat Genet. 2015;47(11):1294-1303. doi:10.1038/ng.3412.
http://www.ncbi.nlm.nih.gov/pubmed/26414677?dopt=Abstract
Day FR, Ruth KS, Thompson DJ, et al. Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair. Nat Genet. 2015;47(11):1294-1303. doi:10.1038/ng.3412.
http://www.ncbi.nlm.nih.gov/pubmed/26414677?dopt=Abstract
Day FR, Ruth KS, Thompson DJ, et al. Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair. Nat Genet. 2015;47(11):1294-1303. doi:10.1038/ng.3412.
http://www.ncbi.nlm.nih.gov/pubmed/26414677?dopt=Abstract
Yu Z. Labor Supply Preferences around Retirement for US Households. 2013.

I

Yang FMargaret, Kao ST. Item response theory for measurement validity. Shanghai Archives of Psychiatry. 2014;26(3):171-177. doi:10.3969/j.issn.1002-0829.2014.03.010.
Yang T-Y, DeVaney SA. Intrinsic Rewards of Work, Future Time Perspective, the Economy in the Future and Retirement Planning. The Journal of Consumer Affairs. 2011;45(3):419.
Wu Y, Zeng J, Zhang F, et al. Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits. Nature Communications. 2018;9(1). doi:10.1038/s41467-018-03371-0.
Dong Y, Yang FMargaret. Insomnia symptoms predict both future hypertension and depression. Prev Med. 2019;123:41-47. doi:10.1016/j.ypmed.2019.02.001.
http://www.ncbi.nlm.nih.gov/pubmed/30742871?dopt=Abstract
Xu Z, Zhang Q, Li W, Li M, Yip PSF. Individualized prediction of depressive disorder in the elderly: A multitask deep learning approach. International Journal of Medical Informatics. 2019;132. doi:10.1016/j.ijmedinf.2019.103973.
Yang YClaire, Li T, Ji Y. Impact of social integration on metabolic functions: evidence from a nationally representative longitudinal study of US older adults. Bmc Public Health. 2013;13. doi:10.1186/1471-2458-13-1210.
Liu Z, Yang C. The impact of sleep medications on physical activity among diabetic older adults. Geriatric Nursing. 2019. doi:https://doi.org/10.1016/j.gerinurse.2019.12.003.