HRS Bibliography

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Journal Article

Killeen OJ, Zhou Y, Ehrlich JR. Objectively Measured Visual Impairment and Dementia Prevalence in Older Adults in the US. JAMA Ophthalmology. 2023;141(8):786-790. doi:10.1001/jamaophthalmol.2023.2854.
Zheng H, Tumin D, Qian Z. Obesity and Mortality Risk: New Findings From Body Mass Index Trajectories. American Journal of Epidemiology. 2013;178(11):1591-1599. doi:10.1093/aje/kwt179.
Mardon R, Marker DA, Nooney J, et al. Novel Methods and Data Sources for Surveillance of State-Level Diabetes and Prediabetes Prevalence. Preventing Chronic Disease. 2017;14. doi:10.5888/pcd14.160572.
Bucciol A, Zarri L. The Non-Cognitive Roots of Civic Honesty: Evidence from the US. Journal of Behavioral and Experimental Economics. 2021;95:101758. doi:https://doi.org/10.1016/j.socec.2021.101758.
Zheng H. A New Look at Cohort Trend and Underlying Mechanisms in Cognitive Functioning. The Journals of Gerontology: Series B. 2021;76(8):1652-1663. doi:https://doi.org/10.1093/geronb/gbaa107.
Kraja AT, Cook JP, Warren HR, et al. New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals. Circulation: Cardiovascular Genetics. 2017;10(5):e001778. doi:10.1161/CIRCGENETICS.117.001778.
Kraja AT, Cook JP, Warren HR, et al. New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals. Circulation: Cardiovascular Genetics. 2017;10(5):e001778. doi:10.1161/CIRCGENETICS.117.001778.
Kraja AT, Cook JP, Warren HR, et al. New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals. Circulation: Cardiovascular Genetics. 2017;10(5):e001778. doi:10.1161/CIRCGENETICS.117.001778.
Evangelou E, Gao H, Chu C, et al. New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders. Nature Human Behaviour. 2019;3(9):950-961. doi:10.1038/s41562-019-0653-z.
Davydow DS, Zivin K, Katon WJ, et al. Neuropsychiatric disorders and potentially preventable hospitalizations in a prospective cohort study of older Americans. J Gen Intern Med. 2014;29(10):1362-71. doi:10.1007/s11606-014-2916-8.
http://www.ncbi.nlm.nih.gov/pubmed/24939712?dopt=Abstract
Chen M-Y, Bai W, Wu X-D, et al. The network structures of depressive and insomnia symptoms among cancer patients using propensity score matching: Findings from the Health and Retirement Study (HRS). Journal of Affective Disorders. 2024. doi:https://doi.org/10.1016/j.jad.2024.04.035.
Choi EYoung, Zelinski EM, Ailshire JA. Neighborhood Social Environment and Self-Perceptions of Aging. Innov Aging. 2023;7(4):igad038. doi:10.1093/geroni/igad038.
http://www.ncbi.nlm.nih.gov/pubmed/37213322?dopt=Abstract
Cho T-C, Yu X, Gross AL, et al. Negative wealth shocks in later life and subsequent cognitive function in older adults in China, England, Mexico, and the USA, 2012-18: a population-based, cross-nationally harmonised, longitudinal study. Lancet Healthy Longev. 2023. doi:10.1016/S2666-7568(23)00113-7.
Pan L, Gao B, Zhu J, Guo J. Negative Wealth Shock and Cognitive Decline and Dementia in Middle-Aged and Older US Adults. JAMA Network Open. 2023;6(12):e2349258. doi:10.1001/jamanetworkopen.2023.49258.
Hawkley LC, Zheng B, Song X. Negative financial shock increases loneliness in older adults, 2006–2016: Reduced effect during the Great Recession (2008–2010). Social Science & Medicine. 2020;255. doi:doi-org.proxy.lib.umich.edu/10.1016/j.socscimed.2020.113000.
Liu H, Zhang Z, Zhang Y. A national longitudinal study of marital quality and cognitive decline among older men and women. Social Science & Medicine. 2021;282:114151. doi:10.1016/j.socscimed.2021.114151.
Liu H, Zhang Z, Zhang Y. A national longitudinal study of marital quality and cognitive decline among older men and women. Social Science & Medicine. 2021;282:114151. doi:10.1016/j.socscimed.2021.114151.
Chen H, Zhou Y, Huang L, Xu X, Yuan C. Multimorbidity burden and developmental trajectory in relation to later-life dementia: A prospective study. Alzheimer's & Dementia. 2023. doi:10.1002/alz.12840.
Wei MY, Levine DA, Zahodne LB, Kabeto MU, Langa KM. Multimorbidity and cognitive decline over 14 years in older Americans. Journals of Gerontology. Series A, Biological Sciences & Medical Sciences. 2020. doi:10.1093/gerona/glz147.
http://www.ncbi.nlm.nih.gov/pubmed/31173065?dopt=Abstract
Kilpeläinen TO, Bentley AR, Noordam R, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.
Kilpeläinen TO, Bentley AR, Noordam R, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.
Kilpeläinen TO, Bentley AR, Noordam R, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.
Kilpeläinen TO, Bentley AR, Noordam R, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.
Kilpeläinen TO, Bentley AR, Noordam R, et al. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. 2019;10(1):376. doi:10.1038/s41467-018-08008-w.
Sun D, Richard M, Musani SK, et al. Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. Human Genetics and Genomics Advances. 2021;2(1):100013. doi:10.1016/j.xhgg.2020.100013.