HRS Bibliography

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Journal Article

Crimmins EM, Hayward MD, Ueda H, Saito Y, Kim JK. Life with and without heart disease among women and men over 50. J Women Aging. 2008;20(1-2):5-19. doi:10.1300/j074v20n01_02.
http://www.ncbi.nlm.nih.gov/pubmed/18581697?dopt=Abstract
Engen EM, Gale WG, Uccello CE. Lifetime earnings, social security benefits, and the adequacy of retirement wealth accumulation. Soc Secur Bull. 2005;66(1):38-57.
http://www.ncbi.nlm.nih.gov/pubmed/16295316?dopt=Abstract
Reczek C, Pudrovska T, Carr D, Thomeer MBeth, Umberson D. Marital Histories and Heavy Alcohol Use among Older Adults. J Health Soc Behav. 2016;57(1):77-96. doi:10.1177/0022146515628028.
http://www.ncbi.nlm.nih.gov/pubmed/26957135?dopt=Abstract
Thomeer MBeth, Umberson D, Pudrovska T. Marital Processes around Depression: A Gendered and Relational Perspective. Society and Mental Health. 2013;3(3):151-169. doi:10.1177/2156869313487224.
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
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.
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.
Donnelly R, Cha H, Umberson D. Multiple Family Member Deaths and Cardiometabolic Health among Black and White Older Adults. Journal of Health and Social Behavior. 2022. doi:10.1177/00221465221114485.
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.
Sun H-L, Bai W, Chen P, et al. Pain trajectories and their associations with cognition among older adults: a 10-year cohort study from network perspective. Age and Ageing. 2024;53(3). doi:10.1093/ageing/afae054.
Donnelly R, Lin Z, Umberson D. Parental Death Across the Life Course, Social Isolation, and Health in Later Life: Racial/Ethnic Disadvantage in the U.S. Social Forces. 2023. doi:10.1093/sf/soad027.
Liu H, Lin Z, Umberson D. Parental Death and Cognitive Impairment: An Examination by Gender and Race-ethnicity. The Journals of Gerontology, Series B. 2022;76(6):1164-1176. doi:10.1093/geronb/gbab125.
Wolinsky FD, Ayres L, Jones MP, Lou Y, Wehby GL, Ullrich FA. A pilot study among older adults of the concordance between their self-reports to a health survey and spousal proxy reports on their behalf. BMC Health Serv Res. 2016;16:485. doi:10.1186/s12913-016-1734-6.
http://www.ncbi.nlm.nih.gov/pubmed/27612571?dopt=Abstract
Kulminski AM, He L, Culminskaya I, et al. Pleiotropic Associations of Allelic Variants in a 2q22 Region with Risks of Major Human Diseases and Mortality. Barsh GS, ed. PLoS Genet. 2016;12(11):e1006314. doi:10.1371/journal.pgen.1006314.
http://www.ncbi.nlm.nih.gov/pubmed/27832070?dopt=Abstract
Lou Y, Edmonds SW, Jones MP, et al. Predictors of bone mineral density testing among older women on Medicare. Osteoporos Int. 2016;27(12):3577-3586. doi:10.1007/s00198-016-3688-2.
http://www.ncbi.nlm.nih.gov/pubmed/27358177?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Roy NT, Ulrich EE. Quantifying the relationship between patient characteristics and involvement in developing and implementing a treatment plan. Drug, Healthcare and Patient Safety. 2017;Volume 9:1 - 8. doi:10.2147/DHPS10.2147/DHPS.S107065.
Donnelly R, Umberson D, Hummer RA, Garcia MA. Race, death of a child, and mortality risk among aging parents in the United States. Social Science and Medicine. 2020;249:112853. doi:10.1016/j.socscimed.2020.112853.
Walsemann KM, Urena S, Farina MP, Ailshire JA. Race inequity in school attendance across the Jim Crow South and its implications for Black-White disparities in trajectories of cognitive function among older adults. The Journals of Gerontology, Series B . 2022;77(8):1467-1477. doi:10.1093/geronb/gbac026.
Marouli E, Graff M, Medina-Gomez C, et al. Rare and low-frequency coding variants alter human adult height. Nature. 2017;542(7640):186-190. doi:10.1038/nature21039.