HRS Bibliography | Health and Retirement Study

Sonnega A, Faul J, Ofstedal MBeth, Langa KM, Phillips JWR, Weir DR. Cohort Profile: the Health and Retirement Study (HRS). Int J Epidemiol. 2014;43(2):576-85. doi:10.1093/ije/dyu067.

http://www.ncbi.nlm.nih.gov/pubmed/24671021?dopt=Abstract

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Koroukian SM, Schiltz NK, Warner DF, et al. Combinations of Chronic Conditions, Functional Limitations, and Geriatric Syndromes that Predict Health Outcomes. J Gen Intern Med. 2016;31(6):630-7. doi:10.1007/s11606-016-3590-9.

http://www.ncbi.nlm.nih.gov/pubmed/26902246?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.

Wu B, Tchetgen EJTchetgen, Osypuk TL, White K, Mujahid M, M. Glymour M. Combining direct and proxy assessments to reduce attrition bias in a longitudinal study. Alzheimer Dis Assoc Disord. 2013;27(3):207-12. doi:10.1097/WAD.0b013e31826cfe90.

http://www.ncbi.nlm.nih.gov/pubmed/22992720?dopt=Abstract

Wu B, Tchetgen EJTchetgen, Osypuk TL, White K, Mujahid M, M. Glymour M. Combining direct and proxy assessments to reduce attrition bias in a longitudinal study. Alzheimer Dis Assoc Disord. 2013;27(3):207-12. doi:10.1097/WAD.0b013e31826cfe90.

http://www.ncbi.nlm.nih.gov/pubmed/22992720?dopt=Abstract

McFadden D. Comment: Broken Down by Work and Sex: How Our Health Declines. In: Wise DA, ed. Analyses in the Economics of Aging. Analyses in the Economics of Aging. Chicago: University of Chicago Press 2005; 2005.

Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.

http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract

Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.

http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract

Stenholm S, Westerlund H, Head J, et al. Comorbidity and functional trajectories from midlife to old age: the Health and Retirement Study. J Gerontol A Biol Sci Med Sci. 2015;70(3):332-8. doi:10.1093/gerona/glu113.

http://www.ncbi.nlm.nih.gov/pubmed/25060316?dopt=Abstract

Weigel PA, Hockenberry J, Bentler SE, Wolinsky FD. The comparative effect of episodes of chiropractic and medical treatment on the health of older adults. J Manipulative Physiol Ther. 2014;37(3):143-54. doi:10.1016/j.jmpt.2013.12.009.

http://www.ncbi.nlm.nih.gov/pubmed/24636108?dopt=Abstract

nihms-568805.pdf (85.18 KB)

Weigel PA, Hockenberry J, Bentler SE, Wolinsky FD. The comparative effect of episodes of chiropractic and medical treatment on the health of older adults. J Manipulative Physiol Ther. 2014;37(3):143-54. doi:10.1016/j.jmpt.2013.12.009.

http://www.ncbi.nlm.nih.gov/pubmed/24636108?dopt=Abstract

nihms-568805.pdf (85.18 KB)

Ware EB, Mukherjee B, Sun YV, Diez-Roux AV, Kardia SLR. Comparative genome-wide association studies of a depressive symptom phenotype in a repeated measures setting by race/ethnicity in the Multi-Ethnic Study of Atherosclerosis. BMC Genet. 2015;16:118. doi:10.1186/s12863-015-0274-0.

http://www.ncbi.nlm.nih.gov/pubmed/26459564?dopt=Abstract

Nguyen TT, Tchetgen Tchetgen EJ, Kawachi I, Gilman SE, Walter S, M. Glymour M. Comparing Alternative Effect Decomposition Methods: The Role of Literacy in Mediating Educational Effects on Mortality. Epidemiology. 2016;27(5):670-6. doi:10.1097/EDE.0000000000000517.

http://www.ncbi.nlm.nih.gov/pubmed/27280331?dopt=Abstract

Lain D. Comparing Health and Employment in England and the United States. In: Vickerstaff S, Phillipson C, Wilkie R, eds. Work, Health and Well-Being: The Challenges of Managing Health at Work. Work, Health and Well-Being: The Challenges of Managing Health at Work. Bristol, UK: Policy Press; 2012:57-78. doi:10.1332/policypress/9781847428080.003.0004.

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

Wang Y-H, Enguidanos S. Comparing Variations in Advance Directives Timing among Older Adults with End-Stage Renal Disease versus Cancer. American Journal of Hospice and Palliative Medicine. Forthcoming. doi:10.1177/10499091221097676.

Shaw C, Wu Y, Zimmerman SC, et al. Comparison of Imputation Strategies for Incomplete Longitudinal Data in Lifecourse Epidemiology. Am J Epidemiol. 2023. doi:10.1093/aje/kwad139.

Gianattasio KZ, Wu B, M. Glymour M, Power MC. Comparison of methods for algorithmic classification of dementia status in the Health and Retirement Study. Epidemiology. 2019;30(2):291-302. doi:10.1097/EDE.0000000000000945.

http://www.ncbi.nlm.nih.gov/pubmed/30461528?dopt=Abstract

Zhang B, Weuve J, Langa KM, et al. Comparison of Particulate Air Pollution From Different Emission Sources and Incident Dementia in the US. JAMA Intern Med. 2023. doi:10.1001/jamainternmed.2023.3300.

Sonnega A, Helppie-McFall B, Hudomiet P, Willis RJ, Fisher GG. A comparison of subjective and objective job demands and fit with personal resources as predictors of retirement timing in a national U.S. Sample. Work, Aging and Retirement. 2018;4(1). doi:10.1093/workar/wax016.

Langa KM, Larson EB, Crimmins EM, et al. A Comparison of the Prevalence of Dementia in the United States in 2000 and 2012. JAMA Intern Med. 2017;177(1):51-58. doi:10.1001/jamainternmed.2016.6807.

http://www.ncbi.nlm.nih.gov/pubmed/27893041?dopt=Abstract

Hernandez B, Voll S, Lewis NA, et al. Comparisons of disease cluster patterns, prevalence and health factors in the USA, Canada, England and Ireland. BMC Public Health. 2021;21(1):1674. doi:10.1186/s12889-021-11706-8.

Hong I, Pryor L, Wong R, Ottenbacher KJ, Reistetter TA. Comparisons of the Association of Family and Social Factors With Functional Limitations Across the United States, Mexico, and South Korea: Findings From the HRS Family of Surveys. Journal of Aging and Health. 2019. doi:https://doi.org/10.1177/0898264319878549.

Rodgers WL. Comparisons of Two Sampling Frames for Surveys of the Oldest Old. In: Warnecke RB, ed. Health Survey Research Methods. Vol. DHHS Publication No. (PHS)96-1013. Health Survey Research Methods. Washington, DC: National Center for Health Statistics, Centers for Disease Control and Prevention, Public Health Service, US Dept. of Health and Human Services; 1996:117-122.