HRS Bibliography

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B

Luo Y, Liu Z, Luo J, et al. BMI trajectories in late middle age, genetic risk, and the incident diabetes in older adults: evidence from a 26-year longitudinal study. Am J Epidemiol. 2023. doi:10.1093/aje/kwad080.
Chen X, Jiang S, Yao Y. BMI, waist circumferences and urinary incontinence in older women compared with older men: findings from three prospective longitudinal cohort studies.; 2023. doi:https://doi.org/10.21203/rs.3.rs-2441866/v1.
Yu Y. Body Weight and Survival: The US experience. 2008.
An R, Yan H. Body weight status and telomere length in U.S. middle-aged and older adults. Obes Res Clin Pract. 2017;11(1):51-62. doi:10.1016/j.orcp.2016.01.003.
http://www.ncbi.nlm.nih.gov/pubmed/26895795?dopt=Abstract
Yue D, Ponce N. Booms and Busts in Housing Market and Health Outcomes for Older Americans. Innovation in Aging. 2021;5(2):igab012. doi:10.1093/geroni/igab012.
Babiarz PD, Widdows R, Yilmazer T. Borrowing to cope with adverse health events: liquidity constraints, insurance coverage, and unsecured debt. Health Economics. 2013;22(10):1177-98. doi:10.1002/hec.2877.
Schoenborn NL, Cidav T, Boyd CM, Pollack CE, Sekhon VKaur, Yasar S. Breast and prostate cancer screening rates by cognitive status in US older adults. J Am Geriatr Soc. 2023;71(5):1558-1565. doi:10.1111/jgs.18222.

C

Shih Y-CTina, Owsley KM, Nicholas LHersch, K Yabroff R, Bradley C. Cancer's Lasting Financial Burden: Evidence from a Longitudinal Assessment. Journal of the National Cancer Institute. 2022;114(7):1020-1028. doi:10.1093/jnci/djac064.
Szymonifka J, Conderino S, Cigolle CT, et al. Cardiovascular disease risk prediction for people with type 2 diabetes in a population-based cohort and in electronic health record data. Jamia Open. 2020. doi:https://doi.org/10.1093/jamiaopen/ooaa059.
Brown S, Smith DM, Schulz R, et al. Caregiving behavior is associated with decreased mortality risk. Psychol Sci. 2009;20(4):488-94. doi:10.1111/j.1467-9280.2009.02323.x.
http://www.ncbi.nlm.nih.gov/pubmed/19320860?dopt=Abstract
Yang T, Liu Y, Chen Z, Deng J. Change of productivity loss due to presenteeism among the ageing workforce: Role of work support, workplace discrimination, and the work‐nonwork interface. Human Resource Management Journal. 2023;33. doi:10.1111/1748-8583.12475.
Chen X, Yan B, Gill TM. Childhood Circumstances and Health Inequality in Old Age: Comparative Evidence from China and the United States. Bonn, Germany: IZA Institute of Labor Economics; 2020.
Chen X, Yan B, Gill TM. Childhood Circumstances and Health Inequality in Old Age: Comparative Evidence from China and the USA. Social Indicators Research . 2020. doi:10.1007/s11205-020-02436-2.
Yang Y, Grol-Prokopczyk H. Chronic Pain and Friendship among Middle-Aged and Older U.S. Adults. The Journals of Gerontology, Series B . 2021;76(10):2131-2142. doi:10.1093/geronb/gbaa185.
Yang Y. CHRONIC PAIN AND SOCIAL RELATIONSHIPS AMONG MIDLIFE AND OLDER ADULTS IN THE UNITED STATES. Sociology. 2020;Doctor of Philosophy.
Yang T-C, Kim S, Choi S-wonEmily, Halloway S, Mitchell UA, Shaw BA. Cognitive Functioning is Higher among Older Adults in Walkable Neighborhoods that Have Low Economic Disadvantage. Syracuse: Syracuse University; 2024.
Yang T-C, Kim S, Choi S-wonEmily, Halloway S, Mitchell UA, Shaw BA. Cognitive Functioning is Higher among Older Adults in Walkable Neighborhoods that Have Low Economic Disadvantage. Syracuse: Syracuse University; 2024.
Mehta KM, Yaffe K, Covinsky KE. Cognitive Impairment, Depressive Symptoms, and Functional Decline in Older People. Journal of the American Geriatrics Society. 2002;50(6):1045-1050.
Yang MSee, Burr JA. Combat exposure, social relationships, and subjective well-being among middle-aged and older Veterans. Aging Ment Health. 2016;20(6):637-46. doi:10.1080/13607863.2015.1033679.
http://www.ncbi.nlm.nih.gov/pubmed/25928024?dopt=Abstract
Wang H, Nandakumar P, Tekola-Ayele F, et al. Combined linkage and association analysis identifies rare and low frequency variants for blood pressure at 1q31. European Journal of Human Genetics. 2019;27(2):269-277. doi:10.1038/s41431-018-0277-1.
Miller B, Arpawong TE, Jiao H, et al. Comparing the utility of mitochondrial and nuclear DNA to adjust for genetic ancestry in association studies. Cells. 2019;8(4). doi:10.3390/cells8040306.
http://www.ncbi.nlm.nih.gov/pubmed/30987182?dopt=Abstract
Yasaitis L, Berkman LF, Chandra A. Comparison of self-reported and Medicare claims-identified acute myocardial infarction. Circulation. 2015;131(17):1477-85; discussion 1485. doi:10.1161/CIRCULATIONAHA.114.013829.
Young Y. Comparison study on functional outcomes and perceived quality of life between all-inclusive and fee-for-service continuing care retirement communities. J Am Med Dir Assoc. 2010;11(4):257-62. doi:10.1016/j.jamda.2009.09.004.
http://www.ncbi.nlm.nih.gov/pubmed/20439045?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Akushevich I, Yashkin A, Ukraintseva S, Yashin AI, Kravchenko J. The Construction of a Multidomain Risk Model of Alzheimer's Disease and Related Dementias. Journal of Alzheimer's Disease : JAD. 2023;96(2):535-550. doi:10.3233/JAD-221292.