HRS Bibliography

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2017

Pool LR, Needham BL, Burgard SA, Elliott MR, de Leon CFMendes. Negative wealth shock and short-term changes in depressive symptoms and medication adherence among late middle-aged adults. Journal of Epidemiology and Community Health. 2017;71(8):758-763. doi:10.1136/jech-2016-208347.
http://www.ncbi.nlm.nih.gov/pubmed/28416571?dopt=Abstract
Nicklett EJ, Lohman MC, Smith MLee. Neighborhood Environment and Falls among Community-Dwelling Older Adults. International Journal of Environmental Research and Public Health. 2017;14(2). doi:10.3390/ijerph14020175.
Mardon R, Marker DA, Nooney J, et al. Novel Methods and Data Sources for Surveillance of State-Level Diabetes and Prediabetes Prevalence. Preventing Chronic Disease. 2017;14. doi:10.5888/pcd14.160572.
Narang AK, Nicholas LHersch. Out-of-Pocket Spending and Financial Burden Among Medicare Beneficiaries With Cancer. JAMA Oncol. 2017;3(6):757-765. doi:10.1001/jamaoncol.2016.4865.
http://www.ncbi.nlm.nih.gov/pubmed/27893028?dopt=Abstract
Narang AK, Nicholas LHersch. Out-of-Pocket Spending and Financial Burden Among Medicare Beneficiaries With Cancer. JAMA Oncol. 2017;3(6):757-765. doi:10.1001/jamaoncol.2016.4865.
http://www.ncbi.nlm.nih.gov/pubmed/27893028?dopt=Abstract
Leshner AI, Landis S, Stroud C, Downey A, eds. Preventing Cognitive Decline and Dementia: A Way Forward. Washington, D.C.: National Academies Press; 2017. doi:10.17226/24782.
Quiñones AR, Nagel CL, Newsom JT, Huguet N, Sheridan P, Thielke SM. Racial and ethnic differences in smoking changes after chronic disease diagnosis among middle-aged and older adults in the United States. BMC Geriatrics. 2017;17(1):48. doi:10.1186/s12877-017-0438-z.
Quiñones AR, Nagel CL, Newsom JT, Huguet N, Sheridan P, Thielke SM. Racial and ethnic differences in smoking changes after chronic disease diagnosis among middle-aged and older adults in the United States. BMC Geriatrics. 2017;17(1):48. doi:10.1186/s12877-017-0438-z.
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
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
Nguyen TT, Tchetgen Tchetgen EJ, Kawachi I, Gilman SE, Walter S, M. Glymour M. The role of literacy in the association between educational attainment and depressive symptoms. SSM - Population Health. 2017;3:586-593. doi:10.1016/j.ssmph.2017.07.002.
Gonzales GErnest, Nowell WBenjamin. Social Capital and Unretirement: Exploring the Bonding, Bridging, and Linking Aspects of Social Relationships. Res Aging. 2017;39(10):1100-1117. doi:10.1177/0164027516664569.
http://www.ncbi.nlm.nih.gov/pubmed/27555547?dopt=Abstract
Shaw JG, Farid M, Noël-Miller C, et al. Social Isolation and Medicare Spending: Among Older Adults, Objective Isolation Increases Expenditures While Loneliness Does Not. Journal of Aging and Health. 2017;29(7):1119-1143. doi:10.1177/0898264317703559.
Palloni A, Novak B. Subjective survival expectations and observed survival: How consistent are they?. Lutz W, ed. Vienna Yearbook of Population Research. 2017;1:187-228. doi:10.1553/populationyearbook10.1553/populationyearbook201610.1553/populationyearbook2016s187.
Brown LL, Needham BL, Ailshire JA. Telomere Length Among Older U.S. Adults: Differences by Race/Ethnicity, Gender, and Age. J Aging Health. 2017;29(8):1350-1366. doi:10.1177/0898264316661390.
http://www.ncbi.nlm.nih.gov/pubmed/27469599?dopt=Abstract
Vable AM, Gilsanz P, Nguyen TT, Kawachi I, M. Glymour M. Validation of a theoretically motivated approach to measuring childhood socioeconomic circumstances in the Health and Retirement Study. PLoS One. 2017;12(10):e0185898. doi:10.1371/journal.pone.0185898.
http://www.ncbi.nlm.nih.gov/pubmed/29028834?dopt=Abstract
Ólafsdóttir T, Ásgeirsdóttir TLaufey, Norton EC. Valuing pain using the subjective well-being method. Cambridge, MA: National Bureau of Economic Research; 2017. doi:10.3386/w23649.