HRS Bibliography

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Journal Article

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.
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.
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
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
Warner DF, Schiltz NK, Stange KC, et al. Complex multimorbidity and health outcomes in older adult cancer survivors . Family Medicine and Community Health. 2017;5(2):129-138. doi:10.15212/FMCH.2017.0127.
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
Bardenheier BH, Lin J, Zhuo X, et al. Compression of disability between two birth cohorts of US adults with diabetes, 1992-2012: a prospective longitudinal analysis. Lancet Diabetes Endocrinol. 2016;4(8):686-694. doi:10.1016/S2213-8587(16)30090-0.
http://www.ncbi.nlm.nih.gov/pubmed/27298181?dopt=Abstract
Gordo LRomeu. Compression of morbidity and the labour supply of older people. Applied Economics. 2011;43(4):503-513. doi:https://doi.org/10.1080/00036840802599941.
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.
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.
Airaksinen J, Gluschkoff K, Kivimäki M, Jokela M. Connectivity of depression symptoms before and after diagnosis of a chronic disease: A network analysis in the U.S. Health and Retirement Study. Journal of Affective Disorders. 2020;266:230 - 234. doi:https://doi.org/10.1016/j.jad.2020.01.170.
Glynn A, Hernandez I, Roberts ET. Consequences of forgoing prescription drug subsidies among low-income Medicare beneficiaries with diabetes. Health Services Research. Forthcoming. doi:10.1111/1475-6773.13990.
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
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
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
Wolinsky FD, Bentler SE, Liu L, et al. Continuity of care with a primary care physician and mortality in older adults. J Gerontol A Biol Sci Med Sci. 2010;65(4):421-8. doi:10.1093/gerona/glp188.
http://www.ncbi.nlm.nih.gov/pubmed/19995831?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.
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.
Kaufman J, Gallo WT, Fahs MC. The contribution of dementia to the disparity in family wealth between black and non-black Americans. Ageing and Society. 2020;40(2):306-327. doi:10.1017/S0144686X18000934.