HRS Bibliography

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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.
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.
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.
McEvoy CT, Guyer HM, Langa KM, Yaffe K. Neuroprotective diets are associated with better cognitive function: The Health and Retirement Study. Journal of the American Geriatrics Society. 2017;65(8):1857-1862. doi:10.1111/jgs.14922.
http://www.ncbi.nlm.nih.gov/pubmed/28440854?dopt=Abstract
Ozawa MN, Yeo YH. Net Worth Accumulation by Different Quintiles of Older Adults Approaching Retirement Age and 10 Years Later. Journal of Sociology and Social Welfare. 2011;38(3):9-30.
Wang F, Qin W, Yu J. Neighborhood Social Cohesion and Mobility Limitations Among Community-dwelling Older Americans: The Mediating Roles of Depressive Symptoms and Mastery. International Journal of Aging & Human Development . 2022;94(3):290-311. doi:10.1177/00914150211037657.
Yang T-C, Kim S, Choi S-WEmily, Halloway S, Mitchell UA, Shaw BA. Neighborhood Features and Cognitive Function: Moderating Roles of Individual Socioeconomic Status. American journal of preventive medicine. Forthcoming. doi:10.1016/j.amepre.2023.10.012.
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.
Kim S-J, Miller B, Hartel NG, et al. A naturally occurring variant of SHLP2 is a protective factor in Parkinson's disease. Molecular Psychiatry. Forthcoming. doi:10.1038/s41380-023-02344-0.

M

Tennyson S, Yang HKyung, Woolley F. My Wife Is My Insurance Policy: Household Bargaining and Couples' Purchase of Long-Term Care Insurance. Research on Aging. 2022;44(9-10):692-708. doi:10.1177/01640275211046322.
Yelin E. Musculoskeletal Conditions and Employment. Arthritis Care and Research. 1995;8(4):311-7. doi:10.1002/art.1790080417.
Liang J, Xu X, Quiñones AR, Bennett JM, Ye W. Multiple trajectories of depressive symptoms in middle and late life: racial/ethnic variations. Psychol Aging. 2011;26(4):761-77. doi:10.1037/a0023945.
http://www.ncbi.nlm.nih.gov/pubmed/21875216?dopt=Abstract
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.
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.
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.
Li R, Dworkin RH, Chapman BP, et al. Moderate to severe chronic pain in later life: risk and resilience factors for recovery. The Journal of Pain. 2021;22(12):1657-1671. doi:10.1016/j.jpain.2021.05.007.
Laditka SB, Laditka JN, Jagger C. Microsimulation of Health Expectancies, Life Course Health, and Health Policy Outcomes. In: Jagger C, Crimmins EM, Saito Y, Yokota RTiene De C, Van Oyen H, Robine J-M, eds. International Handbooks of Population: International Handbook of Health Expectancies. Vol. 9. International Handbooks of Population: International Handbook of Health Expectancies. Basel: Springer International Publishing; 2020:129–138. doi:10.1007/978-3-030-37668-0_9.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.