HRS Bibliography

Bibliography Search
Export 616 results:
Filters: First Letter Of Title is C  [Clear All Filters]

2015

Banerjee S. Change in Household Spending After Retirement: Results from a Longitudinal Sample. Washington, DC, Employee Benefit Research Institute; 2015.
Walter S, Tchetgen Tchetgen EJ, Patton KK, et al. Changes in Depressive Symptoms and Incidence of First Stroke Among Middle-Aged and Older US Adults. J Am Heart Assoc. 2015;4(5). doi:10.1161/JAHA.115.001923.
http://www.ncbi.nlm.nih.gov/pubmed/25971438?dopt=Abstract
Chopik WJ, Kim ES, Smith J. Changes in Optimism Are Associated with Changes in Health Over Time Among Older Adults. Social Psychological and Personality Science. 2015;6(7):814-822. doi:10.1177/1948550615590199.
Vable AM. Changes to the Social Patterning of Economic Resources and the Distribution of Mental and Biological Health Markers. 2015.
The Changing Nature of the Retirement Transition for Dual Earning Couples. 2015;3711256:160.
Levine ME, Cole SW, Weir DR, Crimmins EM. Childhood and later life stressors and increased inflammatory gene expression at older ages. Soc Sci Med. 2015;130:16-22. doi:10.1016/j.socscimed.2015.01.030.
http://www.ncbi.nlm.nih.gov/pubmed/25658624?dopt=Abstract
Pavela G, Latham K. Childhood Conditions and Multimorbidity Among Older Adults. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2015. doi:10.1093/geronb/gbv028.
Xiang X. Chronic Disease Diagnosis as a Teachable Moment for Health Behavior Changes Among Middle-Aged and Older Adults. Journal of Aging and Health. 2015. doi:10.1177/0898264315614573.
Maclean JCatherine, Kessler AS, Kenkel DS, Department of Economics. Cigarette Taxes and Older Adult Smoking: Evidence from the Health and Retirement Study. Temple University; 2015.
Browning C, Finke MS. Cognitive Ability and the Stock Reallocations of Retirees during the Great Recession. Journal of Consumer Affairs. 2015;49(2):356-375. doi:10.1111/joca.12065.
Wolinsky FD, Jones MP, Ullrich FA, Lou Y, Wehby GL. Cognitive function and the concordance between survey reports and Medicare claims in a nationally representative cohort of older adults. Med Care. 2015;53(5):455-62. doi:10.1097/MLR.0000000000000338.
http://www.ncbi.nlm.nih.gov/pubmed/25793268?dopt=Abstract
PDF icon application-pdf.pdf (134.94 KB)
Howard DH, Richards TB, Bach PB, Kegler MC, Berg CJ. Comorbidities, smoking status, and life expectancy among individuals eligible for lung cancer screening. Cancer. 2015;121(24):4341.
Stenholm S, Westerlund H, Head J, et al. Comorbidity and functional trajectories from midlife to old age: the Health and Retirement Study. J Gerontol A Biol Sci Med Sci. 2015;70(3):332-8. doi:10.1093/gerona/glu113.
http://www.ncbi.nlm.nih.gov/pubmed/25060316?dopt=Abstract
Ware EB, Mukherjee B, Sun YV, Diez-Roux AV, Kardia SLR. Comparative genome-wide association studies of a depressive symptom phenotype in a repeated measures setting by race/ethnicity in the Multi-Ethnic Study of Atherosclerosis. BMC Genet. 2015;16:118. doi:10.1186/s12863-015-0274-0.
http://www.ncbi.nlm.nih.gov/pubmed/26459564?dopt=Abstract
Blundell R, Crawford R, French E, Tetlow G. Comparing Retirement Wealth Trajectories on Both Sides of the Pond . Ann Arbor: Institute for Social Research; 2015.
Yasaitis L, Berkman LF, Chandra A. Comparison of self-reported and Medicare claims-identified acute myocardial infarction. Circulation. 2015;131(17):1477-85; discussion 1485. doi:10.1161/CIRCULATIONAHA.114.013829.
Motro J. Competing demands: Dependent children and parental retirement. 2015;3711314:207.
Nho K, Ramanan VK, Horgusluoglu E, et al. Comprehensive gene- and pathway-based analysis of depressive symptoms in older adults. J Alzheimers Dis. 2015;45(4):1197-206. doi:10.3233/JAD-148009.
http://www.ncbi.nlm.nih.gov/pubmed/25690665?dopt=Abstract
Love DA, Schmidt L. The Comprehensive Wealth of Immigrants and Natives. In: 17th Annual Joint Meeting of the Retirement Research Consortium. 17th Annual Joint Meeting of the Retirement Research Consortium. Washington, DC: NBER; 2015.
Mirina A. Computational approaches for intelligent processing of biomedical data. 2015;3664552:111.
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-3594. doi:10.1093/hmg/ddv097.
Pare G, Asma S, Deng WQ. Contribution of large region joint associations to complex traits genetics. PLoS Genet. 2015;11(4):e1005103. doi:10.1371/journal.pgen.1005103.
http://www.ncbi.nlm.nih.gov/pubmed/25856144?dopt=Abstract
Duan-Porter W, Hastings SNicole, Neelon B, Van Houtven CHarold. Control Beliefs and Risk for Death, Stroke and Myocardial Infarction in Middle-aged and Older Adults: An Observational Study. J Gen Intern Med. 2015;30(8):1156-63. doi:10.1007/s11606-015-3275-9.
http://www.ncbi.nlm.nih.gov/pubmed/25792069?dopt=Abstract
Li X, Freed MC, McCutchan PK. Correction of Retransformation Bias in Nonlinear Predictions on Longitudinal Data with Generalized Linear Mixed Models. Journal of Biometrics & Biostatistics. 2015;06(01). doi:10.4172/2155-618010.4172/2155-6180.1000235.
Hueluer G, Hertzog C, Pearman AM, Gerstorf D. Correlates and Moderators of Change in Subjective Memory and Memory Performance: Findings from the Health and Retirement Study. Gerontology. 2015;61(3):232-240. doi:10.1159/000369010.