HRS Bibliography

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Journal Article

Lohman MC, Sonnega AJ, Nicklett EJ, Estenson L, Leggett AN. Comparing Estimates of Fall-Related Mortality Incidence Among Older Adults in the United States. J Gerontol A Biol Sci Med Sci. 2019;74(9):1468-1474. doi:10.1093/gerona/gly250.
http://www.ncbi.nlm.nih.gov/pubmed/30358818?dopt=Abstract
Côté-Sergent A, Fonseca R, Strumpf E. Comparing the education gradient in health deterioration among the elderly in six OECD countries. Health Policy. 2020;124:326 - 335. doi:https://doi.org/10.1016/j.healthpol.2019.12.015.
Chiu C-T, Hayward MD, Saito Y. A Comparison of Educational Differences on Physical Health, Mortality, and Healthy Life Expectancy in Japan and the United States. J Aging Health. 2016;28(7):1256-78. doi:10.1177/0898264316656505.
http://www.ncbi.nlm.nih.gov/pubmed/27590801?dopt=Abstract
Cheshire H, Ofstedal MBeth, Scholes S, Schroeder M. A Comparison of Response Rates in the English Longitudinal Study of Ageing and the Health and Retirement Study. Longview Journal: Longitudinal and Life Course Studies. 2011;2(2):127-144. doi:10.14301/llcs.v2i2.118.
Cheshire H, Ofstedal MBeth, Scholes S, Schroeder M. A Comparison of Response Rates in the English Longitudinal Study of Ageing and the Health and Retirement Study. Longview Journal: Longitudinal and Life Course Studies. 2011;2(2):127-144. doi:10.14301/llcs.v2i2.118.
Sonnega A, Helppie-McFall B, Hudomiet P, Willis RJ, Fisher GG. A Comparison of Subjective and Objective Job Demands and Fit with Personal Resources as Predictors of Retirement Timing in a National U.S. Sample. Work Aging Retire. 2017;4(1):37-51. doi:10.1093/workar/wax016.
http://www.ncbi.nlm.nih.gov/pubmed/29270302?dopt=Abstract
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
Evans MF, V. Smith K. Complementarity and the Measurement of Individual Risk Tradeoffs: Accounting for Quantity and Quality of Life Effects. Environmental and Resource Economics. 2008;41(3):381-400. doi:10.1007/s10640-008-9197-9.
Pezzin LE, Pollak RA, Schone BSteinberg. Complex Families and Late-Life Outcomes Among Elderly Persons: Disability, Institutionalization, and Longevity. Journal of Marriage and Family. 2013;75(5):1084-1097.
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
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
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, Koroukian SM, Schiltz N, et al. Complex multimorbidity and breast cancer screening among midlife and older women: The role of perceived need. The Gerontologist. 2019;59(Supplement_1):S77 - S87. doi:10.1093/geront/gny180.
Warner DF, Koroukian SM, Schiltz N, et al. Complex multimorbidity and breast cancer screening among midlife and older women: The role of perceived need. The Gerontologist. 2019;59(Supplement_1):S77 - S87. doi:10.1093/geront/gny180.
Warner DF, Koroukian SM, Schiltz N, et al. Complex multimorbidity and breast cancer screening among midlife and older women: The role of perceived need. The Gerontologist. 2019;59(Supplement_1):S77 - S87. doi:10.1093/geront/gny180.
Warner DF, Schiltz N, 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.
Warner DF, Schiltz N, 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
Coe N, Skira MM, Larson EB. A Comprehensive Measure of the Costs of Caring for a Parent: Differences According to Functional Status. Journal of the American Geriatrics Society. 2018;66(10):2003 - 2008. doi:10.1111/jgs.2018.66.issue-1010.1111/jgs.15552.
Ayanian JZ, Covinsky KE, Landon BE, McCarthy E, 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.
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. Hum Mol Genet. 2015;24(12):3582-94. doi:10.1093/hmg/ddv097.
http://www.ncbi.nlm.nih.gov/pubmed/25784503?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. Hum Mol Genet. 2015;24(12):3582-94. doi:10.1093/hmg/ddv097.
http://www.ncbi.nlm.nih.gov/pubmed/25784503?dopt=Abstract