HRS Bibliography

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Journal Article

Beydoun HA, Beydoun MA, Weiss J, et al. Insomnia as a predictor of diagnosed memory problems: 2006-2016 Health and Retirement Study. Sleep Medicine. 2021;80:158-166. doi:10.1016/j.sleep.2021.01.038.
Dong L, Agnew J, Mojtabai R, Surkan PJ, Spira AP. Insomnia as a predictor of job exit among middle-aged and older adults: results from the Health and Retirement Study. Journal of Epidemiology and Community Health. 2017;71(8):750-757. doi:10.1136/jech-2016-208630.
Kong D, Lu P, Lou VWQ, Shelley M. Insomnia Symptom Trajectory of Spouse Caregivers of Older Adults with Functional Limitations. Clin Gerontol. 2023:1-12. doi:10.1080/07317115.2023.2211560.
Mahmood A, Ray M, Dobalian A, Ward KD, Ahn SN. Insomnia symptoms and incident heart failure: a population-based cohort study. European Heart Journal. 2021;42(40):4169-4176. doi:10.1093/eurheartj/ehab500.
Zaheed AB, Spira AP, Chervin RD, Zahodne LB. Insomnia Symptoms and Subsequent Cognitive Performance in Older Adults: Are Depressive Symptoms and Vascular Disease Mediators?. Sleep. 2021;44(Supplement_2):A212 - A212. doi:10.1093/sleep/zsab072.535.
Yao W, Luo J, Yu X, Jiang W, Zhang D. Insomnia symptoms are associated with an increased risk of type 2 diabetes mellitus among adults aged 50 and older. Sleep and Breathing. 2022;26(3):1409-1416. doi:10.1007/s11325-021-02497-8.
Dong Y, Yang FMargaret. Insomnia symptoms predict both future hypertension and depression. Preventative Medicine. 2019;123:41-47. doi:10.1016/j.ypmed.2019.02.001.
http://www.ncbi.nlm.nih.gov/pubmed/30742871?dopt=Abstract
Sawadogo W, Adera T. Insomnia Symptoms Trajectories and increased risk of Stroke: A Prospective Cohort Study (P1-5.021). Neurology. 2023;100. doi:10.1212/WNL.0000000000201917.
Nguyen TT, Tchetgen Tchetgen EJ, Kawachi I, et al. Instrumental variable approaches to identifying the causal effect of educational attainment on dementia risk. Ann Epidemiol. 2016;26(1):71-6.e1-3. doi:10.1016/j.annepidem.2015.10.006.
http://www.ncbi.nlm.nih.gov/pubmed/26633592?dopt=Abstract
Tchetgen Tchetgen EJ, Walter S, Vansteelandt S, Martinussen T, M. Glymour M. Instrumental variable estimation in a survival context. Epidemiology. 2015;26(3):402-410. doi:10.1097/ede.0000000000000262.
Martinussen T, Vansteelandt S, Tchetgen Tchetgen EJ, Zucker DM. Instrumental variables estimation of exposure effects on a time-to-event endpoint using structural cumulative survival models. Biometrics. 2017;73(4):1140-1149. doi:10.1111/biom.12699.
http://www.ncbi.nlm.nih.gov/pubmed/28493302?dopt=Abstract
Xu X, Patel DA, Vahratian A, Ransom SB. Insurance coverage and health care use among near-elderly women. Womens Health Issues. 2006;16(3):139-48. doi:10.1016/j.whi.2006.02.005.
http://www.ncbi.nlm.nih.gov/pubmed/16765290?dopt=Abstract
Johnson RW, Davidoff AJ, Moon M. Insuring the Near Elderly: The Potential Role for Medicare Buy-In Plans. The Urban Institute. 2002;The Retirement Project Brief Series(No. 13).
Bhattacharya J. Insuring the Near-Elderly: How Much Would Medicare Save?. Annals of Internal Medicine. 2009;151(11):816-817. doi:10.7326/0003-4819-151-11-200912010-00158.
Wu Y, Zeng J, Zhang F, et al. Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits. Nature Communications. 2018;9(1). doi:10.1038/s41467-018-03371-0.
Yu H, Zhang Y, Hu M, Xiang B, Wang S, Wang Q. Inter- and intrapopulation differences in the association between physical multimorbidity and depressive symptoms. Journal of Affective Disorders. Forthcoming;354:434-442. doi:10.1016/j.jad.2024.03.090.
McGarry K. Inter Vivos Transfers and Intended Bequests. Journal of Public Economics. 1999;73(3):321-51. doi:10.1016/S0047-2727(99)00017-1.
Wu YYan, Thompson MD, Youkhana F, Pirkle CM. Interaction between physical activity and polygenic score on type 2 diabetes mellitus in older Black and White participants from the Health and Retirement Study. The Journals of Gerontology: Series A . 2021;76(7):1214-1221. doi:10.1093/gerona/glab025.
Zhao W, Ware EB, He Z, Kardia SLR, Faul J. Interaction between Social/Psychosocial Factors and Genetic Variants on Body Mass Index: A Gene-Environment Interaction Analysis in a Longitudinal Setting. International Journal of Environmental Research and Public Health. 2017;14(10):1153. doi:10.3390/ijerph14101153.
Kolli A, Zhou Y, Chung G, Ware EB, Langa KM, Ehrlich JR. Interactions between the apolipoprotein E4 gene and modifiable risk factors for cognitive impairment: a nationally representative panel study. BMC Geriatrics. 2022;22(1):938. doi:10.1186/s12877-022-03652-w.
Byrd DAR, Gonzales E, Moody DLBeatty, et al. Interactive Effects of Chronic Health Conditions And Financial Hardship On Episodic Memory Among Older Blacks: Findings From The Health And Retirement Study. Research in Human Development. 2020;17(1):41 - 56. doi:10.1080/15427609.2020.1746159.
Bhatta TR. Inter-Cohort Variations in the Education-Health Gradient: Socio-Historical Changes in Early-Life Selection Mechanisms in the U.S. J Gerontol B Psychol Sci Soc Sci. 2020. doi:10.1093/geronb/gbaa100.
Bhatta TR. Intercohort Variations in the Education–Health Gradient: Sociohistorical Changes in Early-Life Selection Mechanisms in the United States. The Journals of Gerontology: Series B. 2020. doi:https://doi.org/10.1093/geronb/gbaa100.
Oi K. Inter-connected trends in cognitive aging and depression: Evidence from the Health and Retirement Study. Intelligence. 2017;63:56-65. doi:10.1016/j.intell.2017.05.004.
Shen H-W, Perry TE. Interdependence between the Social and Material Convoy: Links between Volunteering, Widowhood, and Housing Transitions. Social Work Research. 2016;40(2):71-82. doi:10.1093/swr/svw002.