HRS Bibliography

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2017

Ankuda CK, Maust DT, Kabeto MU, McCammon RJ, Langa KM, Levine DA. Association between spousal caregiver well-being and care recipient healthcare expenditures. Journal of the American Geriatrics Society. 2017;65(10):2220-2226. doi:10.1111/jgs.15039.
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
Brown RT, Komaiko KD, Shi Y, et al. Bringing functional status into a big data world: Validation of national Veterans Affairs functional status data. Hernandez-Boussard T, ed. PLoS One. 2017;12(6):e0178726. doi:10.1371/journal.pone.0178726 Free full text.
Palgi Y, Ayalon L, Avidor S, Bodner E. Changes in positive and negative affect as predictors of change in felt age: Results from the Health and Retirement Study. The Journal of Positive Psychology. 2017;12(6):605-612. doi:10.1080/17439760.2016.1221121.
Palgi Y, Ayalon L, Avidor S, Bodner E. Changes in positive and negative affect as predictors of change in felt age: Results from the Health and Retirement Study. The Journal of Positive Psychology. 2017;12(6):605-612. doi:10.1080/17439760.2016.1221121.
Kim BR, Park SJung, Bishop-Saucier J, Amorim C. Community-based services and depression from person-environment fit perspective: Focusing on functional impairments and living alone. Journal of Gerontological Social Work. 2017;60(4):270-285. doi:10.1080/01634372.2017.1310166.
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
Kutlu-Koc V, Alessie RJM, Kalwij A. Consumption behavior, annuity income and mortality risk of retirees. (Netherlands) Economist. 2017;165(3):349-380. doi:10.1007/s10645-017-9301-z.
Yank V, Agarwal S, Loftus P, Asch S, Rehkopf D. 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.
Yank V, Agarwal S, Loftus P, Asch S, Rehkopf D. 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.
Pepin R, Leggett AN, Sonnega A, Assari S. Depressive symptoms in recipients of home- and community-based services in the United States: Are older adults receiving the care they need?. American Journal of Geriatric Psychiatry. 2017;25(12):1351-1360. doi:10.1016/j.jagp.2017.05.021.
http://www.ncbi.nlm.nih.gov/pubmed/28760513?dopt=Abstract
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.
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.
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.
Asebedo SD, Wilmarth MJ. Does How We Feel About Financial Strain Matter for Mental Health?. Journal of Financial Therapy. 2017;8(1):63-78. doi:10.4148/1944-9771.1130.
Armour P, Hung A. Drawing down retirement wealth: Interactions between Social Security wealth and private retirement savings. Santa Monica, CA: RAND Corporation; 2017. doi:10.7249/WR1165.
Portanova J, Ailshire JA, Perez C, Rahman A, Enguidanos S. Ethnic Differences in Advance Directive Completion and Care Preferences: What Has Changed in a Decade?. Journal of the American Geriatrics Society. 2017;65(6):1352-1357. doi:10.1111/jgs.14800.
Ashley R. Exercising your brain could stave off dementia. Ask the Doctors.
Anderson T. Frugal retirees ditch 4 percent rule, hoard savings instead. Your Money, Your Future.
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. Alzheimer's & Dementia. 2017;6:65-74. doi:10.1016/j.dadm.2016.11.005.
Zhao W, Yasutake K, August C, 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