HRS Bibliography

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2014

Weston SJ, Hill PL, Jackson JJ. Personality Traits Predict the Onset of Disease. Social Psychological and Personality Science. 2014;6(3):309-317. doi:10.1177/1948550614553248.
Chen T-Y, Janke MC. Predictors of falls among community-dwelling older adults with cancer: results from the health and retirement study. Supportive Care in Cancer. 2014;22(2):479-485.
M. Meyer RUmstattd, Janke MC, A. Beaujean A. Predictors of older adults' personal and community mobility: using a comprehensive theoretical mobility framework. Gerontologist. 2014;54(3):398-408. doi:10.1093/geront/gnt054.
http://www.ncbi.nlm.nih.gov/pubmed/23749391?dopt=Abstract
Jackson SE, Beeken RJ, Wardle J. Predictors of Weight Loss in Obese Older Adults: Findings from the USA and the UK. Obesity Facts. 2014;7(2):102-110.
Christelis D, Georgarakos D, Jappelli T. Wealth Shocks, Unemployment Shocks and Consumption in the Wake of the Great Recession. London, Centre for Economic Policy Research; 2014.
Jackson SE. Weight loss in overweight and obese older adults. Institute of Epidemiology and Health Care. 2014.
Coe NB, Wu AYanyuan. What Impact Does Old-Age Pension Receipt Have on the Use of Public Assistance Programs Among the Elderly?. In: Carcillo S, Immervoll H, Jenkins SP, Königs S, Tatsiramos K, eds. Safety Nets and Benefit Dependence. Safety Nets and Benefit Dependence. Bingley, UK: Emerald Group Publishing; 2014:259-290.

2013

Gaugler JE, Hovater M, Roth DL, Johnston JA, Kane RL, Sarsour K. Analysis of Cognitive, Functional, Health Service Use, and Cost Trajectories Prior to and Following Memory Loss. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2013;68(4):562-567. doi:10.1093/geronb/gbs078.
Janevic MR, McLaughlin SJ, Connell CM. The association of diabetes complications with physical activity in a representative sample of older adults in the United States. Chronic illness. 2013;9(4):251-7. doi:10.1177/1742395313475461.
Li L. Essays on elderly asset management the role of medical expenses and housing. 2013;3591686:150.
Garrett S, James, III RN. Financial Ratios and Perceived Household Financial Satisfaction. Journal of Financial Therapy. 2013;4(1). doi:10.4148/jft.v4i1.1839.
Garrett S, James, III RN. Financial Ratios and Perceived Household Financial Satisfaction. Journal of Financial Therapy. 2013;4(1):4. doi:http://dx.doi.org/10.4148/jft.v4i1.1839.
Franceschini N, Fox E, Zhang Z, et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013;93(3):545-54. doi:10.1016/j.ajhg.2013.07.010.
http://www.ncbi.nlm.nih.gov/pubmed/23972371?dopt=Abstract
Franceschini N, Fox E, Zhang Z, et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013;93(3):545-54. doi:10.1016/j.ajhg.2013.07.010.
http://www.ncbi.nlm.nih.gov/pubmed/23972371?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Johnson NE. Health, retirement, and migration from metro counties: evidence from the health and retirement study. Biodemography and Social Biology. 2013;59(2):127.
Jiang S, Sun W, Webb A. The impact of house price movements on non-durable goods consumption of older households. Annals of Economics and Finance. 2013;14(2):491-510.
Yang YClaire, Li T, Ji Y. Impact of social integration on metabolic functions: evidence from a nationally representative longitudinal study of US older adults. Bmc Public Health. 2013;13. doi:10.1186/1471-2458-13-1210.
Wagner J, Valliant R, Hubbard F, Jiang C. Level-of-Effort Paradata and Nonresponse Adjustment Models for a National Face-to-Face Survey. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2013.PDF icon Download PDF (1.64 MB)
Payne JW, Sagara N, Shu SB, Appelt KC, Johnson EJ. Life expectancy as a constructed belief: Evidence of a live-to or die-by framing effect. Journal of Risk and Uncertainty. 2013;46(1):27.
Jimenez N, Dansie E, Buchwald D, Goldberg J. Pain among older Hispanics in the United States: is acculturation associated with pain?. Pain Med. 2013;14(8):1134-9. doi:10.1111/pme.12147.
http://www.ncbi.nlm.nih.gov/pubmed/23718576?dopt=Abstract