HRS Bibliography

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Journal Article

Bulanda JR, Yamashita T, J Brown S. Marital quality, gender, and later-life depressive symptom trajectories. Journal of Women & Aging. 2021;33(2):122-136. doi:10.1080/08952841.2020.1818538.
Bulanda JR, J Brown S, Yamashita T. Marital quality, marital dissolution, and mortality risk during the later life course. Soc Sci Med. 2016;165:119-127. doi:10.1016/j.socscimed.2016.07.025.
http://www.ncbi.nlm.nih.gov/pubmed/27509579?dopt=Abstract
Yao R, Park E. Market Performance And The Timing Of Retirement. Journal of Personal Finance. 2012;11(1):10-48.
Wikle JS, Yorgason JB. Married Mixed-gender Couples’ Midlife Employment and Later Life Well-being and Housework. Sex Roles. 2022;87:154–166. doi:10.1007/s11199-022-01306-0.
Yang FMargaret, Jones RN. Measurement differences in depression: chronic health-related and sociodemographic effects in older Americans. Psychosom Med. 2008;70(9):993-1004. doi:10.1097/PSY.0b013e31818ce4fa.
http://www.ncbi.nlm.nih.gov/pubmed/18981269?dopt=Abstract
Yoon D, Gallo H, Gassoumis ZD, Joo S. The Mediating Role of Sense of Control in the Associations Between Remote Contacts and Loneliness Among Older Adults. Research on Aging. 2024;46(2):167-175. doi:10.1177/01640275231206484.
Goldman DP, Zissimopoulos JM, Yang L. Medical Expenditure Measures in the Health and Retirement Study. Forum Health Econ Policy. 2011;14(3):4. doi:10.2202/1558-9544.1267.
http://www.ncbi.nlm.nih.gov/pubmed/24049512?dopt=Abstract
W Deardorff J, Jing B, Growdon ME, et al. Medication misuse and overuse in community-dwelling persons with dementia. J Am Geriatr Soc. 2023. doi:10.1111/jgs.18463.
Yen K, Cohen P. MENTSH—A Mitochondrial Microprotein and SNP-Associated with Diabetes in People with Native American Ancestry. Diabetes. 2024;73. doi:10.2337/db24-1616-P.
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.
Yengo L, Sidorenko J, Kemper KE, et al. Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Human Molecular Genetics. 2018;27(20):3641-3649. doi:10.1093/hmg/ddy271.
http://www.ncbi.nlm.nih.gov/pubmed/30124842?dopt=Abstract
Yengo L, Sidorenko J, Kemper KE, et al. Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Human Molecular Genetics. 2018;27(20):3641-3649. doi:10.1093/hmg/ddy271.
Yengo L, Sidorenko J, Kemper KE, et al. Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Human Molecular Genetics. 2018;27(20):3641-3649. doi:10.1093/hmg/ddy271.
http://www.ncbi.nlm.nih.gov/pubmed/30124842?dopt=Abstract
Yengo L, Sidorenko J, Kemper KE, et al. Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Human Molecular Genetics. 2018;27(20):3641-3649. doi:10.1093/hmg/ddy271.
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.
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.
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.
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.