HRS Bibliography

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T

Jamal T. Three Essays in Health Economics. 2015.
Goda GShah, Jones D, Ramnath S. Temporary and permanent effects of withdrawal penalties on retirement savings accounts. Journal of Public Economics. 2022;215:104734. doi:https://doi.org/10.1016/j.jpubeco.2022.104734.
Fong TG, Fearing MA, Jones RN, et al. Telephone interview for cognitive status: Creating a crosswalk with the Mini-Mental State Examination. Alzheimers Dement. 2009;5(6):492-7. doi:10.1016/j.jalz.2009.02.007.
http://www.ncbi.nlm.nih.gov/pubmed/19647495?dopt=Abstract

S

Schneider S, Junghaenel DU, Zelinski E, et al. Subtle mistakes in self-report surveys predict future transition to dementia. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring. 2021;13:e12252. doi:https://doi.org/10.1002/dad2.12252.
Huynh KP, Jung J. Subjective health expectations. Journal of Policy Modeling. 2015;37(4):693-711. doi:10.1016/j.jpolmod.2015.04.001.
Jacobs S. Study Shows Need for Geriatric Principles in Critical Care Medicine. Critical Care.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Stump TE, Clark DO, Johnson RJ, Wolinsky FD. The Structure of Health Status among Hispanic, African American, and White Older Adults. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences. 1997;52B(Spec):49-60.
Mezuk B, Ratliff SM, Concha JB, et al. Stress, self-regulation, and context: Evidence from the Health and Retirement Survey. SSM - Population Health. 2017;3:455-463. doi:10.1016/j.ssmph.2017.05.004.
http://www.ncbi.nlm.nih.gov/pubmed/29130063?dopt=Abstract
Mardon R, Campione J, Nooney J, et al. State-level metabolic comorbidity prevalence and control among adults age 50-plus with diabetes: estimates from electronic health records and survey data in five states. Population Health Metrics. 2022;20(1):22. doi:10.1186/s12963-022-00298-z.
Mardon R, Campione J, Nooney J, et al. State-level metabolic comorbidity prevalence and control among adults age 50-plus with diabetes: estimates from electronic health records and survey data in five states. Population Health Metrics. 2022;20(1):22. doi:10.1186/s12963-022-00298-z.
Marker DA, Mardon R, Jenkins F, et al. State-level estimation of diabetes and prediabetes prevalence: Combining national and local survey data and clinical data. Statistics in Medicine. 2018;37(27):3975-3990. doi:10.1002/sim.7848.
Walsemann KM, Hair NL, Farina MP, Tyagi P, Jackson H, Ailshire JA. State-level desegregation in the U.S. South and mid-life cognitive function among Black and White adults. Social Science & Medicine (1983). Forthcoming;338:116319. doi:10.1016/j.socscimed.2023.116319.
Yu Y-L, Juster R-P. Spousal synchrony in allostatic load among older couples in the Health and Retirement Study. Psychosom Med. 2023. doi:10.1097/PSY.0000000000001232.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Li M, Li Y, Weeks O, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. Journal of the American Society of Nephrology . 2017;28(3):981-994. doi:10.1681/ASN.2016020131.
Stringhini S, Carmeli C, Jokela M, et al. Socioeconomic status, non-communicable disease risk factors, and walking speed in older adults: multi-cohort population based study. BMJ. 2018;360:k1046. doi:10.1136/bmj.k1046.
Joyce GF, Goldman DP, Leibowitz AA, Alpert A, Bao Y. A socioeconomic profile of older adults with HIV. J Health Care Poor Underserved. 2005;16(1):19-28. doi:10.1353/hpu.2005.0013.
http://www.ncbi.nlm.nih.gov/pubmed/15741706?dopt=Abstract
Jones JBailey, Li Y. Social Security Reform with Heterogeneous Mortality. Richmond, VA: Federal Reserve Bank of Richmond; 2020.
Shaw JG, Farid M, Noël-Miller C, et al. Social Isolation and Medicare Spending: Among Older Adults, Objective Isolation Increases Expenditures While Loneliness Does Not. Journal of Aging and Health. 2017;29(7):1119-1143. doi:10.1177/0898264317703559.