HRS Bibliography

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Journal Article

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
McWilliams JM, Afendulis CC, McGuire TG, Landon BE. Complex Medicare Advantage Choices May Overwhelm Seniors—Especially Those With Impaired Decision Making. Health Affairs. 2011;30(9):1786-1794. doi:10.1377/hlthaff.2011.0132.
McWilliams JM, Afendulis CC, McGuire TG, Landon BE. Complex Medicare Advantage Choices May Overwhelm Seniors—Especially Those With Impaired Decision Making. Health Affairs. 2011;30(9):1786-1794. doi:10.1377/hlthaff.2011.0132.
Nho K, Ramanan VK, Horgusluoglu E, et al. Comprehensive gene- and pathway-based analysis of depressive symptoms in older adults. J Alzheimers Dis. 2015;45(4):1197-206. doi:10.3233/JAD-148009.
http://www.ncbi.nlm.nih.gov/pubmed/25690665?dopt=Abstract
Wei MY, Luster JE, Chan C-L, Min LC. Comprehensive review of ICD-9 code accuracies to measure multimorbidity in administrative data. BMC Health Services Research. 2020;20. doi:10.1186/s12913-020-05207-4.
Higgins-Chen AT, Thrush KL, Wang Y, et al. A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking. Nature Aging. 2022;2:644–661. doi:10.1038/s43587-022-00248-2.
Higgins-Chen AT, Thrush KL, Wang Y, et al. A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking. Nature Aging. 2022;2:644–661. doi:10.1038/s43587-022-00248-2.
Mejia ST, Giasson HL, Smith J, Gonzalez R. Concurrent and enduring associations between married partners' shared beliefs and markers of aging. Psychology and Aging. 2020;35(7):925-936. doi:10.1037/pag0000515.
Ayanian JZ, Covinsky KE, Landon BE, McCarthy EP, Wee CC, Steinman MA. Conducting High-Value Secondary Dataset Analysis: An Introductory Guide and Resources. Journal of General Internal Medicine. 2011;26(8):920-929. doi:10.1007/s11606-010-1621-5.
Mike A, Jackson JJ, Oltmanns TF. The conscientious retiree: The relationship between conscientiousness, retirement, and volunteering. J Res Pers. 2014;52:68-77. doi:10.1016/j.jrp.2014.07.002.
http://www.ncbi.nlm.nih.gov/pubmed/25843985?dopt=Abstract
Hill PL, Turiano NA, Hurd MD, Mroczek DK, Roberts BW. Conscientiousness and longevity: an examination of possible mediators. Health Psychol. 2011;30(5):536-41. doi:10.1037/a0023859.
http://www.ncbi.nlm.nih.gov/pubmed/21604882?dopt=Abstract
Divani AA, Majidi S, Barrett AM, Noorbaloochi S, Luft AR. Consequences of stroke in community-dwelling elderly: the health and retirement study, 1998 to 2008. Stroke. 2011;42(7):1821-5. doi:10.1161/STROKEAHA.110.607630.
http://www.ncbi.nlm.nih.gov/pubmed/21597018?dopt=Abstract
Shnayder MM, Montgomery JR, Abrahamse P, Suwanabol PA. Considering self-reported baseline function and cognition in predicting post-operative complications among older adults. Annals of palliative medicine. 2020. doi:10.21037/apm-20-816.
Ware EB, Faul J, Mitchell C, Bakulski KM. Considering the APOE locus in Alzheimer's disease polygenic scores in the Health and Retirement Study: a longitudinal panel study. BMC Medical Genomics. 2020;13(1):164. doi:10.1186/s12920-020-00815-9.
Lee YSoo, Putnam M, Morrow-Howell N, Inoue M, Greenfield JC, Chen H. Consolidated measures of activity among older adults: results of a three data set comparison. Journal of Gerontological Social Work. 2019. doi:10.1080/01634372.2019.1582123.
http://www.ncbi.nlm.nih.gov/pubmed/30786817?dopt=Abstract
Maralani V, Portier C. The Consolidation of Education and Health in Families. American Sociological Review. 2021;86(4):670-699. doi:10.1177/00031224211028592.
Lohman MC, Mezuk B. Construct overlap between depression and frailty in later life: evidence from the health and retirement study. Comprehensive Psychiatry. 2013;54(1):e6.
McGarry BE, Tempkin-Greener H, Grabowski DC, Chapman BP, Li Y. Consumer decision-making abilities and long-term care insurance purchase. Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2017. doi:10.1093/geronb/gbx059.
http://www.ncbi.nlm.nih.gov/pubmed/28541583?dopt=Abstract
Campbell JY, Jackson HE, Madrian BC, Tufano P. Consumer Financial Protection. J Econ Perspect. 2011;25(1):91-114. doi:10.1257/jep.25.1.91.
http://www.ncbi.nlm.nih.gov/pubmed/24991083?dopt=Abstract
McGarry BE, Grabowski DC. Consumer Numeracy and Insurance Design Decisions: An Examination of Inflation Protection Take-Up Among Private Long-Term Care Insurance Policy Holders. Med Care Res Rev. 2020;77(2):187-195. doi:10.1177/1077558718787742.
http://www.ncbi.nlm.nih.gov/pubmed/30009685?dopt=Abstract
McArdle JJ, Prescott CA. Contemporary Modeling of Gene × Environment Effects in Randomized Multivariate Longitudinal Studies. Perspect Psychol Sci. 2010;5(5):606-21. doi:10.1177/1745691610383510.
http://www.ncbi.nlm.nih.gov/pubmed/22472970?dopt=Abstract
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-3594. doi:10.1093/hmg/ddv097.
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-3594. doi:10.1093/hmg/ddv097.
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-3594. doi:10.1093/hmg/ddv097.
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-3594. doi:10.1093/hmg/ddv097.