HRS Bibliography

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2017

Crimmins EM, Beltrán-Sánchez H, Brown LL, et al. Ageing in North America: Canada and the United States. In: Oxford Textbook of Geriatric Medicine. 3rdrd ed. Oxford Textbook of Geriatric Medicine. Cary, NC: Oxford University Press; 2017:19-26.
An R, Yan H. Body weight status and telomere length in U.S. middle-aged and older adults. Obes Res Clin Pract. 2017;11(1):51-62. doi:10.1016/j.orcp.2016.01.003.
http://www.ncbi.nlm.nih.gov/pubmed/26895795?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
Yank V, Agarwal S, Loftus P, Asch S, Rehkopf DH. Crowdsourced health data: Comparability to a US national survey, 2013–2015. American Journal of Public Health. 2017;107(8):1283-1289. doi:10.2105/AJPH.2017.303824.
Joo H, Wang G, Yee SLin, Zhang P, Sleet D. Economic Burden of Informal Caregiving Associated With History of Stroke and Falls Among Older Adults in the U.S. Am J Prev Med. 2017;53(6S2):S197-S204. doi:10.1016/j.amepre.2017.07.020.
http://www.ncbi.nlm.nih.gov/pubmed/29153121?dopt=Abstract
J Andrews S, Desai U, Kirson NY, et al. Functional limitations and health care resource utilization for individuals with cognitive impairment without dementia: Findings from a United States population-based survey. Alzheimers Dement (Amst). 2017;6:65-74. doi:10.1016/j.dadm.2016.11.005.
http://www.ncbi.nlm.nih.gov/pubmed/28229124?dopt=Abstract
Smith JA, Zhao W, Yasutake K, et al. Gene-by-Psychosocial Factor Interactions Influence Diastolic Blood Pressure in European and African Ancestry Populations: Meta-Analysis of Four Cohort Studies. Int J Environ Res Public Health. 2017;14(12). doi:10.3390/ijerph14121596.
http://www.ncbi.nlm.nih.gov/pubmed/29258278?dopt=Abstract
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.
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). Arch Gerontol Geriatr. 2017;72:164-168. doi:10.1016/j.archger.2017.05.011.
http://www.ncbi.nlm.nih.gov/pubmed/28667843?dopt=Abstract
Borella M, De Nardi M, Yang F. Marriage-related Policies in an Estimated Life-cycle Model of Households' Labor Supply and Savings for Two Cohorts. Ann Arbor, MI: Michigan Retirement Research Center; 2017:1-79.
McEvoy CT, Guyer H, Langa KM, Yaffe K. Neuroprotective Diets Are Associated with Better Cognitive Function: The Health and Retirement Study. J Am Geriatr Soc. 2017;65(8):1857-1862. doi:10.1111/jgs.14922.
http://www.ncbi.nlm.nih.gov/pubmed/28440854?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
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
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
Hoffman GJ, Hays RD, Wallace SP, Shapiro MF, Yakusheva O, Ettner SL. Receipt of Caregiving and Fall Risk in US Community-dwelling Older Adults. Med Care. 2017;55(4):371-378. doi:10.1097/MLR.0000000000000677.
http://www.ncbi.nlm.nih.gov/pubmed/27875481?dopt=Abstract
Gardner RC, Langa KM, Yaffe K. Subjective and objective cognitive function among older adults with a history of traumatic brain injury: A population-based cohort study. PLoS Med. 2017;14(3):e1002246. doi:10.1371/journal.pmed.1002246.
http://www.ncbi.nlm.nih.gov/pubmed/28267747?dopt=Abstract

2016

Borella M, De Nardi M, Yang F. The Aggregate Implications of Gender and Marriage. Cambridge, MA: National Bureau of Economic Research; 2016:1-54. doi:10.3386/w22817.
Yang MSee, Burr JA. Combat exposure, social relationships, and subjective well-being among middle-aged and older Veterans. Aging Ment Health. 2016;20(6):637-46. doi:10.1080/13607863.2015.1033679.
http://www.ncbi.nlm.nih.gov/pubmed/25928024?dopt=Abstract