HRS Bibliography

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Journal Article

Cigolle CT, Langa KM, Kabeto MU, Blaum CS. Setting eligibility criteria for a care-coordination benefit. J Am Geriatr Soc. 2005;53(12):2051-9. doi:10.1111/j.1532-5415.2005.00496.x.
http://www.ncbi.nlm.nih.gov/pubmed/16398887?dopt=Abstract
Speer H, D'Cunha NM, Naumovski N, McKune AJ. Sex, age, BMI, and C-Reactive Protein impact the odds of developing hypertension - findings based on data from the Health and Retirement Study (HRS). American Journal of Hypertension. 2021;34(10):1057-1063. doi:10.1093/ajh/hpab088.
Zheng F, Li C, Hua R, Liang J, Gao D, Xie W. Sex differences in changes of depressive symptoms among older adults before and during the COVID-19 pandemic: evidence from two longitudinal cohorts. BMC Geriatrics. 2023;23(1):64. doi:10.1186/s12877-023-03744-1.
Jin Y, Hong C, Luo Y. Sex differences in cognitive aging and the role of socioeconomic status: Evidence from multi-cohort studies. Psychiatry Res. 2023;321:115049. doi:10.1016/j.psychres.2023.115049.
Bloomberg M, Dugravot A, Landré B, et al. Sex differences in functional limitations and the role of socioeconomic factors: a multi-cohort analysis. The Lancet Healthy Longevity. 2021;2(12):e780-e790. doi:https://doi.org/10.1016/S2666-7568(21)00249-X.
Wu Y-T, Niubo ASanchez, Daskalopoulou C, et al. Sex differences in mortality: results from a population-based study of 12 longitudinal cohorts. CMAJ. 2021;193(11):E361–E370. doi:10.1503/cmaj.200484.
Bako AT, Potter T, Tannous J, et al. Sex differences in post-stroke cognitive decline: A population-based longitudinal study of nationally representative data. PLoS One. 2022;17(5):e0268249. doi:10.1371/journal.pone.0268249.
Chanti-Ketterl M, Stebbins RC, Obhi HK, Belsky DW, Plassman BL, Yang YClaire. Sex Differences in the Association between Metabolic Dysregulation and Cognitive Aging: The Health and Retirement Study. The Journals of Gerontology, Series A . 2022;77(9):1827-1835. doi:10.1093/gerona/glab285.
Niedzwiedz CL, Katikireddi SVittal, Pell JP, Smith DJ. Sex differences in the association between salivary telomere length and multimorbidity within the US Health & Retirement Study. Age and Ageing. 2019;48(5): 703–710. doi:10.1093/ageing/afz071.
Lohman MC, Dumenci L, Mezuk B. Sex differences in the construct overlap of frailty and depression: evidence from the health and retirement study. Journal of the American Geriatrics Society. 2014;62(3):500-5. doi:10.1111/jgs.12689.
Germain CM, Vasquez E, Batsis JA, McQuoid DR. Sex, race and age differences in muscle strength and limitations in community dwelling older adults: Data from the Health and Retirement Survey (HRS). Archives of Gerontology and Geriatrics. 2016;65:98-103. doi:10.1016/j.archger.2016.03.007.
Zhu Y, Chen Y, Crimmins EM, Zissimopoulos JM. Sex, Race, and Age Differences in Prevalence of Dementia in Medicare Claims and Survey Data. The Journals of Gerontology: Series B . 2021;76(3):596-606. doi:10.1093/geronb/gbaa083.
Zhang C, Lauderdale DS, Pierce BL. Sex-Specific and Time-Varying Associations Between Cigarette Smoking and Telomere Length Among Older Adults. Am J Epidemiol. 2016;184(12):922-932. doi:10.1093/aje/kww102.
http://www.ncbi.nlm.nih.gov/pubmed/27856448?dopt=Abstract
Yu J, Pu F, Yang G, et al. Sex-Specific Association Between Childhood Adversity and Accelerated Biological Aging. Advanced Science (Weinheim, badden-Wurttemburg, Germany). Forthcoming:e2309346. doi:10.1002/advs.202309346.
Liu H, Hsieh N, Lai W-hua. Sexual Identity and Self-Rated Health in Midlife: Evidence from the Health and Retirement Study. Health Equity. 2021;5(1):587-595. doi:10.1089/heq.2021.0034.
Dang L, Dong L, Mezuk B. Shades of blue and gray: A comparison of the Center for Epidemiologic Studies Depression Scale and the Composite International Diagnostic Interview for Assessment of Depression Syndrome in later life. Gerontologist. 2020. doi:10.1093/geront/gnz044.
http://www.ncbi.nlm.nih.gov/pubmed/31112598?dopt=Abstract
Bucciol A, Zarri L. The shadow of the past: Financial risk taking and negative life events. Journal of Economic Psychology. 2015;48:1-16. doi:10.1016/j.joep.2015.02.006.
Smith JR, Gibbons LE, Crane PK, et al. Shifting of Cognitive Assessments Between Face-to-Face and Telephone Administration: Measurement Considerations. The Journals of Gerontology, Series B. 2023;78(2):191-200. doi:10.1093/geronb/gbac135.
Kang AH, Kim JK, Ailshire JA, Crimmins EM. Shingles Vaccine Uptake Among Older Adults: Identifying Early, Later, and Nonadopters. AJPM Focus. 2023;2. doi:10.1016/j.focus.2023.100143.
Kelly IRashad. The shock of falling among older Americans. The Journal of the Economics of Ageing. 2017. doi:10.1016/j.jeoa.2017.06.001.
J Moon R, M. Glymour M, Vable AM, Liu SY, Subramanian SV. Short- and long-term associations between widowhood and mortality in the United States: longitudinal analyses. J Public Health (Oxf). 2014;36(3):382-9. doi:10.1093/pubmed/fdt101.
http://www.ncbi.nlm.nih.gov/pubmed/24167198?dopt=Abstract
Hughes MElizabeth, Waite LJ, Hawkley LC, Cacioppo JT. A Short Scale for Measuring Loneliness in Large Surveys: Results From Two Population-Based Studies. Res Aging. 2004;26(6):655-672. doi:10.1177/0164027504268574.
http://www.ncbi.nlm.nih.gov/pubmed/18504506?dopt=Abstract
Kusters CDJ, Klopack ET, Crimmins EM, Seeman TE, Cole S, Carroll JE. Short sleep and insomnia are associated with accelerated epigenetic age. Psychosom Med. Forthcoming. doi:10.1097/PSY.0000000000001243.
Ebeid M, Oguzoglu U. Short-term effect of retirement on health: Evidence from nonparametric fuzzy regression discontinuity design. Health Econ. 2023;32(6):1323-1343. doi:10.1002/hec.4669.
Pollack CE, Chideya S, Cubbin C, Williams BA, Dekker M, Braveman P. Should health studies measure wealth? A systematic review. Am J Prev Med. 2007;33(3):250-64. doi:10.1016/j.amepre.2007.04.033.
http://www.ncbi.nlm.nih.gov/pubmed/17826585?dopt=Abstract