HRS Bibliography

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Gaeta R. Community Living and Health Services Utilization among the Aging Services Network Population. Health Services Administration. 2017. doi:10.13016/M2C28S.
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
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.
Blau DM, Goodstein RM. Commitment in the household: Evidence from the effect of inheritances on the labor supply of older married couples. Labour Economics. 2016;42:123 - 137. doi:https://doi.org/10.1016/j.labeco.2016.08.003.
Szinovacz ME. Commentary: The Future of Intergenerational Relationships--Variability and Vulnerabilities. In: Schaie KW, Uhlenberg P, eds. Social Structures: The impact of demographic changes on the well-being of older persons. Social Structures: The impact of demographic changes on the well-being of older persons. New York: Springer; 2007:262-282.
Freedman VA, Martin LG. Commentary on "Trends in Scores on Tests of Cognitive Ability in the Elderly U.S. Population, 1993-2000" : Beyond inconsistent results: finding the truth about trends in late-life cognitive funtioning. The Journals of Gerontology: Social Sciences. 2003;58B(6):S347-8. doi:https://doi.org/10.1093/geronb/58.6.S347.
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.
Kotlikoff LJ. The Coming Generational Storm. Boston University, Dept. of Economics; 2001.
Cummings JR, Mason AE, Puterman E, A Tomiyama J. Comfort Eating and All-Cause Mortality in the US Health and Retirement Study. International Journal of Behavioral Medicine. 2018;25(4):473-478. doi:10.1007/s12529-017-9706-8.
http://www.ncbi.nlm.nih.gov/pubmed/29243156?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
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.
Assari S. Combined Effects of Race and Educational Attainment on Physician Visits Over 24 Years in a National Sample of Middle-Aged and Older Americans . Hospital Practices and Research. 2020;5(1):17-23. doi:10.34172/hpr.2020.04.
Assari S. Combined Effects of Ethnicity and Education on Burden of Depressive Symptoms over 24 Years in Middle-Aged and Older Adults in the United States. Brain Sciences. 2020;10(4):209. doi:10.3390/brainsci10040209.
Vivek S, Thyagarajan B, Nelson HHammond, Prizment A, Crimmins EM, Faul J. COMBINED EFFECT OF CMV SEROPOSITIVITY AND SYSTEMIC INFLAMMATION ON DEMENTIA PREVALENCE IN CANCER SURVIVORS. Innovation in Aging. 2019;3:S461-S461. doi:10.1093/geroni/igz038.1724.
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
Yang MSee, Burr JA. Combat exposure, social relationships, and subjective well-being among middle-aged and older Veterans. Aging Ment Health. 2016;20(6):637-46. doi:10.1080/13607863.2015.1033679.
http://www.ncbi.nlm.nih.gov/pubmed/25928024?dopt=Abstract
Miller M. Column: For U.S. retirees, rising interest rates a double-edged sword. Reuters.
Michaud P-C, Vermeulen F. A Collective Retirement Model: Identification and estimation in the presence of externalities. Labour Economics. 2004;18(2):159-167.
Hülür G, Infurna FJ, Ram N, Gerstorf D. Cohorts based on decade of death: no evidence for secular trends favoring later cohorts in cognitive aging and terminal decline in the AHEAD study. Psychol Aging. 2013;28(1):115-27. doi:10.1037/a0029965.
http://www.ncbi.nlm.nih.gov/pubmed/23046001?dopt=Abstract
Sheehan CM, Domingue BW, Crimmins EM. Cohort Trends in the Gender Distribution of Household Tasks in the United States and the Implications for Understanding Disability. Journal of Aging and Health. 2019. doi:10.1177/0898264318793469.
Bishop NJ, Haas SA, Quiñones AR. Cohort Trends in the Burden of Multiple Chronic Conditions Among Aging U.S. Adults. The Journals of Gerontology, Series B . 2022;77(10):1867-1879. doi:10.1093/geronb/gbac070.
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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Sanchez-Niubo A, Egea-Cortés L, Olaya B, et al. Cohort Profile: The Ageing Trajectories of Health - Longitudinal Opportunities and Synergies (ATHLOS) project. International Journal of Epidemiology. 2019;48(4):1052-1053i. doi:10.1093/ije/dyz077.
Schoenhammer M. Cohort membership and perspectives on aging. Psychology. 2018;PhD:274.
Bernard A. Cohort Measures of Internal Migration: Understanding Long-Term Trends. Demography. 2017;54(6):2201-2221. doi:10.1007/s13524-017-0626-7.