HRS Bibliography

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Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Jenkins KRahrig, Zucker RA. The prospective relationship between binge drinking and physician visits among older adults. J Aging Health. 2010;22(8):1099-113. doi:10.1177/0898264310376539.
http://www.ncbi.nlm.nih.gov/pubmed/20693519?dopt=Abstract
Bishop N, Zhu J. A Prospective Cohort Study of Racial/Ethnic Variation in the Association between Change in Cystatin C and Dietary Quality in Older Americans. British Journal of Nutrition. Forthcoming. doi:10.1017/S0007114522001040.
Kezios KL, Zimmerman SC, Zhang A, et al. Propensity Scores in Health Disparities Research: The Example of Cognitive Aging and the Hispanic Paradox. Epidemiology. 2023;34(4):495-504. doi:10.1097/EDE.0000000000001620.
Kezios KL, Zimmerman SC, Zhang A, et al. Propensity Scores in Health Disparities Research: The Example of Cognitive Aging and the Hispanic Paradox. Epidemiology. 2023;34(4):495-504. doi:10.1097/EDE.0000000000001620.
Filshtein T, Li X, Zimmerman SC, Ackley SF, M. Glymour M, Power MC. Proof of concept example for use of simulation to allow data pooling despite privacy restrictions. Epidemiology. 2021;32(5):638-647. doi:10.1097/EDE.0000000000001373.
Zimmerman S, Dobbs D, Roth EG, Goldman S, Peeples AD, Wallace B. Promoting and Protecting Against Stigma in Assisted Living and Nursing Homes. Gerontologist. 2016;56(3):535-47. doi:10.1093/geront/gnu058.
http://www.ncbi.nlm.nih.gov/pubmed/24928555?dopt=Abstract
Bardenheier BH, Wu W-C, Zullo AR, Gravenstein S, Gregg EW. Progression to diabetes by baseline glycemic status among middle-aged and older adults in the United States, 2006-2014. Diabetes Research and Clinical Practice. 2021;174:108726. doi:10.1016/j.diabres.2021.108726.
Chen H, Wang B, Lv R, et al. Progression and trajectory network of age-related functional impairments and their combined associations with mortality. iScience. 2023;26. doi:10.1016/j.isci.2023.108368.
Zheng Y, Ma Q, Qi X, Zhu Z, Wu B. Prevalence and incidence of mild cognitive impairment in adults with diabetes in the United States. Diabetes research and clinical practice. Forthcoming;205:110976. doi:10.1016/j.diabres.2023.110976.
Zheng Y, Ma Q, Qi X, Zhu Z, Wu B. Prevalence and incidence of mild cognitive impairment in adults with diabetes in the United States. Diabetes research and clinical practice. Forthcoming;205:110976. doi:10.1016/j.diabres.2023.110976.
Teresa M. Bell, Wang J, Nolly R, Ozdenerol E, Relyea G, Zarzaur BL. Predictors of functional limitation trajectories after injury in a nationally representative U.S. older adult population. Annals of Epidemiology. 2015;25(12):894.
Beydoun HA, Beydoun MA, Weiss J, et al. Predictors of Covid-19 level of concern among older adults from the health and retirement study. Scientific Reports. 2022;12(1):4396. doi:10.1038/s41598-022-08332-8.
Zheng H, Cagney K, Choi Y. Predictors of cognitive functioning trajectories among older Americans: A new investigation covering 20 years of age- and non-age-related cognitive change. PLoS One. 2023;18(2):e0281139. doi:10.1371/journal.pone.0281139.
Teresa M. Bell. Predictors and Mediators of Long-term Functional Limitations after Injury in the Older Adult Population. 2014;3619298:145.
Badolato L, Decter-Frain A, Irons NJ, et al. Predicting individual-level longevity with statistical and machine learning methods. Max Planck Institute; 2023. doi:10.4054/MPIDR-WP-2023-008.
Badolato L, Decter-Frain A, Irons NJ, et al. Predicting individual-level longevity with statistical and machine learning methods. Max Planck Institute; 2023. doi:10.4054/MPIDR-WP-2023-008.
Mudrazija S, Palms J, Lee JHyun, Maher A, Zahodne LB, Chopik WJ. Preclinical Dementia and Economic Well-Being Trajectories of Racially Diverse Older Adults. Journal of Aging and Health. Forthcoming:8982643241237292. doi:10.1177/08982643241237292.
Zwar L, König H-H, Hajek A. The Potential of Informal Care for Self-Perceptions of Aging Among Older Community-Dwelling Adults: Longitudinal Findings From the Health and Retirement Study. Journal of Applied Gerontology, Series B, Psychological Sciences and social sciences. 2024;79(3). doi:10.1093/geronb/gbad189.
Raykov T, Gorelick PB, Zajacova A, Marcoulides GA. On the potential of discrete time survival analysis using latent variable modeling: An application to the study of the vascular depression hypothesis. Structural Equation Modeling: A Multidisciplinary Journal. 2017:1 - 10. doi:10.1080/10705511.2017.1315305.
Hurd MD, Smith JP, Zissimopoulos JM. The Potential Effects of Obesity on Social Security Claiming Behavior and Retirement Benefits. J Gerontol B Psychol Sci Soc Sci. 2018;73(4):723-732. doi:10.1093/geronb/gbw016.
http://www.ncbi.nlm.nih.gov/pubmed/27044665?dopt=Abstract
Zhang Z, Wang J, Ma B, Wang J, Jia Y, Chen O. Positive Self-perceptions of Aging Increase Physical Resilience to Facilitate Social Re-engagement of Older Adults Who Fall: Analysis Based on Health and Retirement Study Data. Arch Phys Med Rehabil. 2023. doi:10.1016/j.apmr.2023.02.006.
Zan H, Shin SHyun. The positive impact of informal spousal caregiving on the physical activity of older adults. Front Public Health. 2022;10:977846. doi:10.3389/fpubh.2022.977846.