HRS Bibliography

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Herzog AR, Rodgers WL. Cognitive Performance Measures in Survey Research on Older Adults. In: Schwarz N, Park DC, Knauper B, Sudman S, eds. Cognition, Aging, and Self Reports. Cognition, Aging, and Self Reports. Philadelphia: Psychology Press; 1999. doi:10.4324/9780203345115.
Weir DR, McCammon RJ, Ryan LH, Langa KM. Cognitive Test Selection for the Harmonized Cognitive Assessment Protocol (HCAP). Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2014.PDF icon Download PDF (485.77 KB)
Ramasubramanian R, Kim JWon, Guan W, et al. Cohabitation as a determinant of adaptive and innate immune cell profiles: Findings from the Health and Retirement Study. Brain, Behavior, and Immunity - Health. 2023;33:100676. doi:10.1016/j.bbih.2023.100676.
Ryan LH, Smith J, Antonucci TC, Jackson JS. Cohort differences in the availability of informal caregivers: are the Boomers at risk?. Gerontologist. 2012;52(2):177-88. doi:10.1093/geront/gnr142.
http://www.ncbi.nlm.nih.gov/pubmed/22298747?dopt=Abstract
Newton NJ, Ryan LH, King RT, Smith J. Cohort differences in the marriage-health relationship for midlife women. Soc Sci Med. 2014;116:64-72. doi:10.1016/j.socscimed.2014.06.040.
http://www.ncbi.nlm.nih.gov/pubmed/24983699?dopt=Abstract
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
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.
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.
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.
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
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
Howard DH, Richards TB, Bach PB, Kegler MC, Berg CJ. Comorbidities, smoking status, and life expectancy among individuals eligible for lung cancer screening. Cancer. 2015;121(24):4341.
Rodgers WL, Miller B. A comparative analysis of ADL questions in surveys of older people. J Gerontol B Psychol Sci Soc Sci. 1997;52 Spec No:21-36. doi:10.1093/geronb/52b.special_issue.21.
http://www.ncbi.nlm.nih.gov/pubmed/9215355?dopt=Abstract
Selzam S, Ritchie SJ, Pingault J-B, Reynolds CA, O'Reilly PF, Plomin R. Comparing Within- and Between-Family Polygenic Score Prediction. Am J Hum Genet. 2019;105(2):351-363. doi:10.1016/j.ajhg.2019.06.006.
Selzam S, Ritchie SJ, Pingault J-B, Reynolds CA, O'Reilly PF, Plomin R. Comparing Within- and Between-Family Polygenic Score Prediction. Am J Hum Genet. 2019;105(2):351-363. doi:10.1016/j.ajhg.2019.06.006.
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.
Ramoni J. Compensation Comparisons Between the Public and Private Sectors in the United States: A propensity matching approach. Economics. 2004;Doctor of Philosophy.
Roberts BW, Smith J, Jackson JJ, Edmonds G. Compensatory conscientiousness and health in older couples. Psychol Sci. 2009;20(5):553-9. doi:10.1111/j.1467-9280.2009.02339.x.
http://www.ncbi.nlm.nih.gov/pubmed/19476589?dopt=Abstract
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
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
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.
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