HRS Bibliography

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2017

Ulrich EE, Vonderhaar J, Tenhouse A. Characteristics of older adults who consume alcohol while on antidepressants. The Consultant Pharmacist. 2017;32(7):415-422. doi:10.4140/TCP.n.2017.415.
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Umberson D, Olson JSkalamera, Crosnoe R, Liu H, Pudrovska T, Donnelly R. Death of family members as an overlooked source of racial disadvantage in the United States. Proceedings of the National Academy of Sciences of the United States of America. 2017;114(5):915-920. doi:10.1073/pnas.1605599114.
Suemoto CKimie, Ueda H, Beltrán-Sánchez H, et al. Development and Validation of a 10-Year Mortality Prediction Model: Meta-Analysis of Individual Participant Data From Five Cohorts of Older Adults in Developed and Developing Countries. J Gerontol A Biol Sci Med Sci. 2017;72(3):410-416. doi:10.1093/gerona/glw166.
http://www.ncbi.nlm.nih.gov/pubmed/27522061?dopt=Abstract
Unuigbe A, Lee Y, Vaughon W, Kaufman J, Gallo WT. Differential Changes in Health Measures by Caregiving Status: Hierarchical Models. Work, Aging and Retirement. 2017;3(4):393-402. doi:10.1093/workar/wax005.
Wehby GL, Domingue BW, Ullrich FA, Wolinsky FD. Genetic Predisposition to Obesity and Medicare Expenditures. The Journals of Gerontology: Series A. 2017;73:66-72. doi:10.1093/gerona/glx062.PDF icon glx062.pdf (148.77 KB)
United States Government Accountability Office. Phased retirement programs, although uncommon, provide flexibility for workers and employers. Washington, DC: U.S. Government Accountability Office; 2017:1-57.
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.
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.
http://www.ncbi.nlm.nih.gov/pubmed/28146470?dopt=Abstract
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.
http://www.ncbi.nlm.nih.gov/pubmed/28146470?dopt=Abstract
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.
http://www.ncbi.nlm.nih.gov/pubmed/28146470?dopt=Abstract

2016

Clark DO, Lane KA, Ambuehl R, et al. Age Differences in the Association Between Body Mass Index Class and Annualized Medicare Expenditures. J Aging Health. 2016;28(1):165-79. doi:10.1177/0898264315589574.
http://www.ncbi.nlm.nih.gov/pubmed/26112066?dopt=Abstract
Wehby GL, Jones MP, Ullrich FA, Lou Y, Wolinsky FD. Does the Relationship of the Proxy to the Target Person Affect the Concordance between Survey Reports and Medicare Claims Measures of Health Services Use?. Health Serv Res. 2016;51(1):314-27. doi:10.1111/1475-6773.12321.
http://www.ncbi.nlm.nih.gov/pubmed/26059195?dopt=Abstract
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Pattaro C, Teumer A, Gorski M, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun. 2016;7:10023. doi:10.1038/ncomms10023.
http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract
Okbay A, Baselmans BML, De Neve J-E, et al. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nat Genet. 2016;48(6):624-33. doi:10.1038/ng.3552.
http://www.ncbi.nlm.nih.gov/pubmed/27089181?dopt=Abstract
Barban N, Jansen R, de Vlaming R, et al. Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nat Genet. 2016;48(12):1462-1472. doi:10.1038/ng.3698.
http://www.ncbi.nlm.nih.gov/pubmed/27798627?dopt=Abstract
Barban N, Jansen R, de Vlaming R, et al. Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nat Genet. 2016;48(12):1462-1472. doi:10.1038/ng.3698.
http://www.ncbi.nlm.nih.gov/pubmed/27798627?dopt=Abstract
Okbay A, Beauchamp JP, Fontana MAlan, et al. Genome-wide association study identifies 74 loci associated with educational attainment. Nature. 2016;533(7604):539-42. doi:10.1038/nature17671.
http://www.ncbi.nlm.nih.gov/pubmed/27225129?dopt=Abstract
Okbay A, Beauchamp JP, Fontana MAlan, et al. Genome-wide association study identifies 74 loci associated with educational attainment. Nature. 2016;533(7604):539-42. doi:10.1038/nature17671.
http://www.ncbi.nlm.nih.gov/pubmed/27225129?dopt=Abstract
Matteini AM, Tanaka T, Karasik D, et al. GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium. Aging Cell. 2016;15(5):792-800. doi:10.1111/acel.12468.
http://www.ncbi.nlm.nih.gov/pubmed/27325353?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
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.
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