HRS Bibliography

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Journal Article

Jajodia A, Borders A. Memory predicts changes in depressive symptoms in older adults: a bidirectional longitudinal analysis. J Gerontol B Psychol Sci Soc Sci. 2011;66(5):571-81. doi:10.1093/geronb/gbr035.
http://www.ncbi.nlm.nih.gov/pubmed/21742642?dopt=Abstract
Kong D, Lu P, Jiang D, Chan HYue Lai. Memory trajectories and disability among older couples: the mediating role of depressive symptoms. Journal of Applied Gerontology, Series B, Psychological Sciences and social sciences. Forthcoming. doi:10.1093/geronb/gbad163.
Bakulski KM, Fu M, Faul J, Jin Y, Ware EB. Mendelian randomization of smoking behavior on cognitive status among older Americans. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2020;16(S10):e041221. doi:10.1002/alz.041221.
Liu C, Kraja AT, Smith JA, Morrison AC, et al. Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci. Nat Genet. 2016;48(10):1162-70. doi:10.1038/ng.3660.
Deelen J, Evans DS, Arking DE, et al. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nature Communications. 2019;10(1):3669. doi:10.1038/s41467-019-11558-2.
http://www.ncbi.nlm.nih.gov/pubmed/31413261?dopt=Abstract
Deelen J, Evans DS, Arking DE, et al. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nature Communications. 2019;10(1):3669. doi:10.1038/s41467-019-11558-2.
http://www.ncbi.nlm.nih.gov/pubmed/31413261?dopt=Abstract
Deelen J, Evans DS, Arking DE, et al. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nature Communications. 2019;10(1):3669. doi:10.1038/s41467-019-11558-2.
http://www.ncbi.nlm.nih.gov/pubmed/31413261?dopt=Abstract
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.
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.
Jackson JS, Lockery SA, F. Juster T. Minority perspectives from the Health and Retirement Study. Introduction: health and retirement among ethnic and racial minority groups. Gerontologist. 1996;36(3):282-4. doi:10.1093/geront/36.3.282.
http://www.ncbi.nlm.nih.gov/pubmed/8682326?dopt=Abstract
Jackson JS, Lockery SA, F. Juster T. Minority perspectives from the Health and Retirement Study. Introduction: health and retirement among ethnic and racial minority groups. Gerontologist. 1996;36(3):282-4. doi:10.1093/geront/36.3.282.
http://www.ncbi.nlm.nih.gov/pubmed/8682326?dopt=Abstract
Rhodes A, Moulton S, Loibl C, Haurin D, Joseph J. Mortgage Borrowing and Chronic Disease Outcomes in Older Age: Evidence from Biomarker Data in the Health and Retirement Study. Journal of Applied Gerontology, Series B, Psychological Sciences and social sciences. Forthcoming. doi:10.1093/geronb/gbae066.
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.
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.
Jason K, Carr DC, Washington TR, Hilliard TS, Mingo CA. Multiple Chronic Conditions, Resilience, and Workforce Transitions in Later Life: A Socio-Ecological Model. The Gerontologist. 2017;57(2):269-281. doi:10.1093/geront/gnv101.
Rouse HJ, Jin Y, Hueluer G, et al. Music Engagement and Episodic Memory among Middle-Aged and Older Adults: A National Cross-Sectional Analysis. The Journals of Gerontology: Series B. 2022;77(3):558-566. doi:10.1093/geronb/gbab044.
James, III RN. The Myth of the Coming Charitable Estate Windfall. The American Review of Public Administration. 2009;39(6):661-674. doi:https://doi.org/10.1177/0275074008326188.
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.
Curl AL, Bibbo J, Johnson RA. Neighborhood Engagement, Dogs, and Life Satisfaction in Older Adulthood. Journal of Applied Gerontology. 2020. doi:10.1177/0733464820953725.