HRS Bibliography

Bibliography Search
Export 481 results:
Filters: First Letter Of Title is I  [Clear All Filters]

I

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.
Goldberg R. Insomnia Symptoms and Risk for Stroke in Younger Individuals.
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.
Kapteyn A, Panis C. Institutions and Saving for Retirement: Comparing the United States, Italy, and the Netherlands. In: Wise DA, ed. Analyses in the Economics of Aging. Analyses in the Economics of Aging. Chicago: University of Chicago Press; 2005:281-316.
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.
Vivek S. Integrated Multi-Omics Approach to Predict Dementia: Using an Explainable Variational Autoencoder (E-VAE) Classifier Model. ProQuest Dissertations and Theses. 2023:111.
Crimmins EM, Seeman T. Integrating Biology into the Study of Health Disparities. In: Waite LJ, ed. Aging, Health, and Public Policy: Demographic and Economic Perspectives. Vol. 30. Aging, Health, and Public Policy: Demographic and Economic Perspectives. New York: Population Council; 2005:89-107.
Slob E. Integrating Genetics into Economics. 2021.
Brown-Podgorski B, Roberts E. Integrating Medicare And Medicaid Data To Improve Care Quality And Advance Health Equity Among Dual-Eligible Beneficiaries. Health Affairs; 2022. doi:10.1377/hpb20221011.325614.
Austin J, Reynolds C, Kaye J. Integrating objective health measurement using sensors, devices and pervasive computing in large-scale surveys. 2016.PDF icon Download PDF (303.81 KB)
Gustman AL, Steinmeier TL. Integrating Retirement Models. Cambridge, MA: National Bureau of Economic Research; 2009. doi:10.3386/w15607.
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.
Engelhardt GV, Eriksen MD. Intended Bequests and Housing Equity in Older Age. Boston, MA: Center for Retirement Research at Boston College; 2021.
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.