HRS Bibliography

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Journal Article

McAninch EA, Rajan KB, Jo S, Chaker L, al. et. A Common DIO2 Polymorphism and Alzheimer Disease Dementia in African and European Americans. Journal of Endocrinology & Metabolism. 2018;103(5):118-1826.
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.
Kim BR, Park SJung, Bishop-Saucier J, Amorim C. Community-based services and depression from person-environment fit perspective: Focusing on functional impairments and living alone. Journal of Gerontological Social Work. 2017;60(4):270-285. doi:10.1080/01634372.2017.1310166.
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.
Scher C, Nepomnyaschy L, Amano T. Comparison of Cognitive and Physical Decline as Predictors of Depression Among Older Adults. Journal of Applied Gerontology. 2023;42(3):387-398. doi:10.1177/07334648221139255.
O'Shea DM, Alaimo H, Davis JD, Galvin JE, Tremont G. A comparison of cognitive performances based on differing rates of DNA methylation GrimAge acceleration among older men and women. Neurobiology & Aging. 2023;123:83-91. doi:10.1016/j.neurobiolaging.2022.12.011.
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.
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.
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.
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.
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.
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.
Li K-K, Cardinal BJ, Acock AC. Concordance of Physical Activity Trajectories Among Middle-Aged and Older Married Couples: Impact of Diseases and Functional Difficulties. The Journals of Gerontology. 2013;68(5):794.
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.
Turvey CL, Carney C, Arndt S, Wallace RB, Herzog AR. Conjugal loss and syndromal depression in a sample of elders aged 70 years or older. Am J Psychiatry. 1999;156(10):1596-601. doi:10.1176/ajp.156.10.1596.
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:
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.
Akushevich I, Yashkin A, Ukraintseva S, Yashin AI, Kravchenko J. The Construction of a Multidomain Risk Model of Alzheimer's Disease and Related Dementias. Journal of Alzheimer's Disease : JAD. 2023;96(2):535-550. doi:10.3233/JAD-221292.
Kutlu-Koc V, Alessie RJM, Kalwij A. Consumption behavior, annuity income and mortality risk of retirees. (Netherlands) Economist. 2017;165(3):349-380. doi:10.1007/s10645-017-9301-z.
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.
Pare G, Asma S, Deng WQ. Contribution of large region joint associations to complex traits genetics. PLoS Genet. 2015;11(4):e1005103. doi:10.1371/journal.pgen.1005103.
Xu D, Lalani N, Arling G. COPING AND LIFE SATISFACTION OF OLDER PEOPLE DURING THE COVID-19 PANDEMIC. Innovation in Aging. 2022;6:878-878. doi:10.1093/geroni/igac059.3134.
Wang Y, Shen H, Wong R, Amano T. CORRELATES AND HEALTH OUTCOMES OF LONG-TERM VOLUNTEERING: EVIDENCE FROM 16 YEARS OF THE HEALTH AND RETIREMENT STUDY. Innovation in Aging. 2018;2:331-331. doi:10.1093/geroni/igy023.1211.
Doyle C, Andel R, Saenz J, Crowe M. Correlates of SuperAging in Two Population-Based Samples of Hispanic Older Adults. Journal of Applied Gerontology, Series B, Psychological Sciences and social sciences. Forthcoming. doi:10.1093/geronb/gbae058.