HRS Bibliography

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Choi H-sik, Laschever RA. The credit card debt puzzle and noncognitive ability. Review of Finance. 2017;22(6):2109-2137. doi:10.1093/rof/rfx020.
Lachman ME, Spiro, III A. Critique of Cognitive Measures in the Health and Retirement Study (HRS) and the Asset and Health Dynamics among the Oldest Old (AHEAD) Study.; 2002.
Lachman ME, Spiro, III A. Critique of Cognitive Measures in the Health Retirement Study (HRS) and the Asset and Health Dynamics among the Oldest Old (AHEAD) Study. 2002.PDF icon Download PDF  (242.27 KB)
Lee J, Phillips DF, Wilkens J, et al. Cross-Country Comparisons of Disability and Morbidity: Evidence from the Gateway to Global Aging Data. The Journals of Gerontology: Series A. 2018;73(11):1519-1524. doi:10.1093/gerona/glx224.
Lee J, Phillips DF, Wilkens J, et al. Cross-Country Comparisons of Disability and Morbidity: Evidence from the Gateway to Global Aging Data. The Journals of Gerontology: Series A. 2018;73(11):1519-1524. doi:10.1093/gerona/glx224.
Lee S. Cross-Lagged Associations Between Physical Activity, Self-Rated Health, and Psychological Resilience Among Older American Adults: A 3-Wave Study. J Phys Act Health. 2023;20(7):625-632. doi:10.1123/jpah.2022-0455.
Rehkopf D, Rosero-Bixby L, Dow WH. A cross-national comparison of 12 biomarkers finds no universal biomarkers of aging among individuals aged 60 and older. Lutz W, ed. Vienna Yearbook of Population Research. 2017;1:255-277. doi:10.1553/populationyearbook10.1553/populationyearbook201610.1553/populationyearbook2016s255.
Vonk JMJ, Gross AL, Zammit AR, et al. Cross-national harmonization of cognitive measures across HRS HCAP (USA) and LASI-DAD (India). PLoS One. 2022;17(2):e0264166. doi:10.1371/journal.pone.0264166.
Lee S. Cross-Sectional and Longitudinal Association between Neighborhood Environment and Perceived Control in Older Adults: Findings from HRS. International Journal of Environmental Research and Public Health. 2021;18(21):11344. doi:10.3390/ijerph182111344.
Hlávka JP, Yu JC, Lakdawalla D. Crosswalk between the Mini-Mental State Examination and the Telephone Interview for Cognitive Status (TICS-27/30/40). Alzheimer's & Dementia. 2022. doi:10.1002/alz.12569.
Yank V, Agarwal S, Loftus P, Asch S, Rehkopf D. Crowdsourced health data: Comparability to a US national survey, 2013–2015. American Journal of Public Health. 2017;107(8):1283-1289. doi:10.2105/AJPH.2017.303824.
Briceño EM, Rentería MArce, Gross AL, et al. A cultural neuropsychological approach to harmonization of cognitive data across culturally and linguistically diverse older adult populations. Neuropsychology. 2023;37(3):247-257. doi:10.1037/neu0000816.
Hale JMhairi, Dudel C, Lorenti A. Cumulative disparities in the dynamics of working poverty for later-career U.S. workers (2002-2012). Ithaca, NY: Cornell University; 2020. doi:10.31235/osf.io/xka5j.
Hale JMhairi, Dudel C, Lorenti A. Cumulative Disparities in the Dynamics of Working Poverty for Later Career U.S. Workers (2002–2012). Socius. 2021;7. doi:10.1177/2378023120987332.
Dupre ME, George LK, Liu G, Peterson ED. The cumulative effect of unemployment on risks for acute myocardial infarction. Arch Intern Med. 2012;172(22):1731-7. doi:10.1001/2013.jamainternmed.447.
http://www.ncbi.nlm.nih.gov/pubmed/23401888?dopt=Abstract
Choi EYoung, Lee H, Chang VW. Cumulative exposure to extreme heat and trajectories of cognitive decline among older adults in the USA. J Epidemiol Community Health. 2023. doi:10.1136/jech-2023-220675.
Bakulski KM, Vadari HS, Faul J, et al. Cumulative Genetic Risk and APOE ε4 Are Independently Associated With Dementia Status in a Multiethnic, Population-Based Cohort. Neurology Genetics. 2021;7(2):e576. doi:10.1212/NXG.0000000000000576.
Kwag KH. The cumulative influences of socioeconomic status on health outcomes in late adulthood: A latent growth curve analysis. 2009;Doctor of Philosophy:90.

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Lee J. Data sets on pensions and health: Data collection and sharing for policy design. Int Soc Secur Rev. 2010;63(3-4):197-222. doi:10.1111/j.1468-246X.2010.01375.x.
http://www.ncbi.nlm.nih.gov/pubmed/26229178?dopt=Abstract
Evans WN, Levy HG, Simon KI. Data Watch: Research Data in Health Economics. Journal of Economic Perspectives. 2000;14(4):203-216. doi:10.1257/jep.14.4.203.
Govindan S, Shapiro L, Langa KM, Iwashyna TJ. Death certificates underestimate infections as proximal causes of death in the U.S. PLoS One. 2014;9(5):e97714. doi:10.1371/journal.pone.0097714.
http://www.ncbi.nlm.nih.gov/pubmed/24878897?dopt=Abstract
Jung JHyun, Lee HJung. Death of a child, religion, and mental health in later life. Aging & Mental Health. 2022;26(3):623-631. doi:10.1080/13607863.2021.1889968.
Umberson D, Olson JSkalamera, Crosnoe R, Liu H, Pudrovska T, Donnelly R. Death of family members as an overlooked source of racial disadvantage in the United States. Proceedings of the National Academy of Sciences of the United States of America. 2017;114(5):915-920. doi:10.1073/pnas.1605599114.
Lusardi A, Mitchell OS, Oggero N. Debt and Financial Vulnerability on the Verge of Retirement. Journal of Money, Credit and Banking. 2020;52(5):1005-1034. doi:10.1111/jmcb.12671.
Lusardi A, Mitchell OS, Oggero N. Debt and Financial Vulnerability on the Verge of Retirement. Cambridge, MA: National Bureau of Economic Research; 2017. doi:10.3386/w23664.