HRS Bibliography

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2017

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
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
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
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
Duan-Porter W, Hastings SNicole, Neelon B, Van Houtven CHarold. Control beliefs and risk for 4-year mortality in older adults: a prospective cohort study. BMC Geriatr. 2017;17(1):13. doi:10.1186/s12877-016-0390-3.
http://www.ncbi.nlm.nih.gov/pubmed/28077089?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.
Verbrugge LM, Brown DC, Zajacova A. Disability rises gradually for a cohort of older Americans. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2017;72(1):151-161. doi:10.1093/geronb/gbw002.
C Y Ng M, Graff M, Lu Y, et al. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium. PLoS Genetics. 2017;13(4):e1006719. doi:10.1371/journal.pgen.1006719.
C Y Ng M, Graff M, Lu Y, et al. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium. PLoS Genetics. 2017;13(4):e1006719. doi:10.1371/journal.pgen.1006719.
Dassel KB, Carr DC, Vitaliano P. Does Caring for a Spouse With Dementia Accelerate Cognitive Decline? Findings From the Health and Retirement Study. The Gerontologist. 2017;57(2):319. doi:10.1093/geront/gnv148.
von Bonsdorff ME, Zhan Y, Song Y, Wang M. Examining bridge employment from a self-employment perspective—evidence from the Health and Retirement Study. Work, Aging and Retirement. 2017;3(3):298-312. doi:10.1093/workar/wax012.
Joshi PK, Pirastu N, Kentistou KA, et al. Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity. Nature Communications. 2017;8(1):910. doi:10.1038/s41467-017-00934-5.
Joshi PK, Pirastu N, Kentistou KA, et al. Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity. Nature Communications. 2017;8(1):910. doi:10.1038/s41467-017-00934-5.
Joshi PK, Pirastu N, Kentistou KA, et al. Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity. Nature Communications. 2017;8(1):910. doi:10.1038/s41467-017-00934-5.
Joshi PK, Pirastu N, Kentistou KA, et al. Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity. Nature Communications. 2017;8(1):910. doi:10.1038/s41467-017-00934-5.
Joshi PK, Pirastu N, Kentistou KA, et al. Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity. Nature Communications. 2017;8(1):910. doi:10.1038/s41467-017-00934-5.
Joshi PK, Pirastu N, Kentistou KA, et al. Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity. Nature Communications. 2017;8(1):910. doi:10.1038/s41467-017-00934-5.
Robinson MR, English G, Moser G, et al. Genotype–covariate interaction effects and the heritability of adult body mass index. Nature Genetics. 2017;49(8):1174-1181. doi:10.1038/ng.3912.
Robinson MR, English G, Moser G, et al. Genotype–covariate interaction effects and the heritability of adult body mass index. Nature Genetics. 2017;49(8):1174-1181. doi:10.1038/ng.3912.
Voss MW, Birmingham WChurch, Wadsworth L, et al. Honest Labor Bears a Lovely Face: Will Late-Life Unemployment Impact Health and Satisfaction in Retirement?. J Occup Environ Med. 2017;59(2):184-190. doi:10.1097/JOM.0000000000000933.
http://www.ncbi.nlm.nih.gov/pubmed/28002355?dopt=Abstract
Yorke AM, Curtis AB, Shoemaker M, Vangsnes E. The impact of multimorbidity on grip strength in adults age 50 and older: Data from the Health and Retirement Survey (HRS). Archives of Gerontology and Geriatrics. 2017;72:164-168. doi:10.1016/j.archger.2017.05.011.
Viglianti EM, Prescott HC, Liu V, Escobar GJ, Iwashyna TJ. Individual and health system variation in rehospitalizations the year after pneumonia. Medicine (Baltimore). 2017;96(31):e7695. doi:10.1097/MD.0000000000007695.
http://www.ncbi.nlm.nih.gov/pubmed/28767603?dopt=Abstract
Vivoda JM, Heeringa SG, Schulz AJ, Grengs J, Connell CM. The Influence of the Transportation Environment on Driving Reduction and Cessation. Gerontologist. 2017;57(5):824-832. doi:10.1093/geront/gnw088.
http://www.ncbi.nlm.nih.gov/pubmed/27342439?dopt=Abstract
Martinussen T, Vansteelandt S, Tchetgen Tchetgen EJ, Zucker DM. Instrumental variables estimation of exposure effects on a time-to-event endpoint using structural cumulative survival models. Biometrics. 2017;73(4):1140-1149. doi:10.1111/biom.12699.
http://www.ncbi.nlm.nih.gov/pubmed/28493302?dopt=Abstract
Poterba JM, Venti SF, Wise DA. The Long Reach of Education: Health, Wealth, and DI Participation. Cambridge, MA: National Bureau of Economic Research; 2017. doi:10.3386/w23307.