HRS Bibliography

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2022

Ehrlich JR, Goldstein J, Swenor BK, Whitson H, Langa KM, Veliz P. Addition of Vision Impairment to a Life-Course Model of Potentially Modifiable Dementia Risk Factors in the US. JAMA Neurology. 2022;79(6):623-626. doi:10.1001/jamaneurol.2022.0723.
Thyagarajan B, Faul J, Vivek S, et al. Age-related differences in T cell subsets in a nationally representative sample of people over age 55: Findings from the Health and Retirement Study. The Journals of Gerontology, Series A . 2022;77(5):927-933. doi:10.1093/gerona/glab300.
Veal B, Yauk JAnn, Meng H. ARE CAREGIVERS HEALTHIER?: ASSESSING CAREGIVERS' EPISODIC MEMORY IN A MATCHED AND UNMATCHED SAMPLE. Innovation in Aging. 2022;6(Suppl 1):548. doi:10.1093/geroni/igac059.2077.
Himmelstein KEW, Lawrence JA, Jahn JL, et al. Association Between Racial Wealth Inequities and Racial Disparities in Longevity Among US Adults and Role of Reparations Payments, 1992 to 2018. JAMA Network Open. 2022;5(11):e2240519. doi:10.1001/jamanetworkopen.2022.40519.
Nakamura JS, Hong JH, Smith J, et al. Associations Between Satisfaction With Aging and Health and Well-being Outcomes Among Older US Adults. JAMA Network Open. 2022;5(2):e2147797. doi:10.1001/jamanetworkopen.2021.47797.
Higgins-Chen AT, Thrush KL, Wang Y, et al. A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking. Nature Aging. 2022;2:644–661. doi:10.1038/s43587-022-00248-2.
Higgins-Chen AT, Thrush KL, Wang Y, et al. A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking. Nature Aging. 2022;2:644–661. doi:10.1038/s43587-022-00248-2.
Higgins-Chen AT, Thrush KL, Wang Y, et al. A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking. Nature Aging. 2022;2:644–661. doi:10.1038/s43587-022-00248-2.
Gueltzow M, Bijlsma MJ, van Lenthe FJ, Myrskylä M. The Contribution of Health Behaviors to Depression Risk across Birth Cohorts. Epidemiology. 2022;33(6):880-889. doi:10.1097/EDE.0000000000001524.
Vivek S, Nelson HHammond, Prizment A, Faul J, Crimmins EM, Thyagarajan B. Cross sectional association between cytomegalovirus seropositivity, inflammation and cognitive impairment in elderly cancer survivors. Cancer Causes & Control. 2022;33(1):81-90. doi:https://doi.org/10.1007/s10552-021-01504-3.
Vonk JMJ, Gross AL, Zammit AR, et al. Cross-national harmonization of cognitive measures across HRS HCAP (USA) and LASI-DAD (India). PLoS One. 2022;17(2):e0264166. doi:10.1371/journal.pone.0264166.
Johnson FU, Robinson-Lane SG, Veliz P. Dementia Spousal Caregiving. Alzheimer's & Dementia . 2022;18(S9):e068344. doi:10.1002/alz.068344.
Banerjee A, Duflo E, Grela E, et al. Depression and Loneliness Among the Elderly Poor. Cambridge, MA: NBER; 2022. doi:10.3386/w30330.
Parker K, Vincent B, Rhee Y, et al. The estimated prevalence of no reported dementia-related diagnosis in older Americans living with possible dementia by healthcare utilization. Aging Clinical and Experimental Research. 2022;34(2):359-365. doi:10.1007/s40520-021-01980-2.
Ramasubramanian R, Meier HCS, Vivek S, et al. Evaluation of T-cell aging-related immune phenotypes in the context of biological aging and multimorbidity in the Health and Retirement Study. Immunity & Ageing. 2022;19(1):33. doi:10.1186/s12979-022-00290-z.
Yamashita T, Punksungka W, Van Vleet S, Helsinger A, Cummins P. Experiences of Older Adults During the 2020 COVID-19 Pandemic in the United States: An Initial Exploration of Nationally Representative Data at the Intersection of Gender and Race. Journal of Applied Gerontology. 2022;41(619-627). doi:https://doi.org/10.1177/07334648211048258.
Suwanabol PA, Li Y, Abrahamse P, et al. Functional and Cognitive Decline Among Older Adults After High-risk Surgery. Annals of Surgery. 2022;275(1):e132-e139. doi:10.1097/SLA.0000000000003950.
Villa O, Stuhr NL, Yen C-A, Crimmins EM, Arpawong TEm, Curran SP. Genetic variation in ALDH4A1 is associated with muscle health over the lifespan and across species. Elife. 2022;11:e74308. doi:10.7554/eLife.74308.
Villa O, Stuhr NL, Yen C-A, Crimmins EM, Arpawong TE, Curran SP. Genetic variation in ALDH4A1 predicts muscle health over the lifespan and across species. Elife. 2022;11(e74308). doi:10.7554/eLife.74308.
Lahti J, Tuominen S, Yang Q, et al. Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning. Molecular Psychiatry. 2022. doi:10.1038/s41380-022-01710-8.
Lahti J, Tuominen S, Yang Q, et al. Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning. Molecular Psychiatry. 2022. doi:10.1038/s41380-022-01710-8.