HRS Bibliography

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2014

Bryant AN, Ford K-L, Kim G. Racial/ethnic variations in the relation between body mass index and cognitive function among older adults. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry. 2014;22(7):653-60. doi:10.1016/j.jagp.2013.08.006.
Friedman EM, Mare RD. The schooling of offspring and the survival of parents. Demography. 2014;51(4):1271-93. doi:10.1007/s13524-014-0303-z.
Chen Y, Feeley THugh. Social support, social strain, loneliness, and well-being among older adults: An analysis of the Health and Retirement Study. Journal of Social and Personal Relationships. 2014;31(2):141-161. doi:10.1177/0265407513488728.
Shaw BA, McGeever K, Vasquez E, Agahi N, Fors S. Socioeconomic inequalities in health after age 50: Are health risk behaviors to blame?. Social Science and Medicine. 2014;101:52-60. doi:10.1016/j.socscimed.2013.10.040.
Crimmins EM, Kim JK, McCreath H, Faul J, Weir DR, Seeman T. Validation of blood-based assays using dried blood spots for use in large population studies. Biodemography Soc Biol. 2014;60(1):38-48. doi:10.1080/19485565.2014.901885.
http://www.ncbi.nlm.nih.gov/pubmed/24784986?dopt=Abstract
Vuolo M, Ferraro KF, Morton PM, Yang T-Y. Why do older people change their ratings of childhood health?. Demography. 2014;51(6):1999-2023. doi:10.1007/s13524-014-0344-3.
http://www.ncbi.nlm.nih.gov/pubmed/25359668?dopt=Abstract

2013

Brainerd CJ, Reyna VF, Petersen RC, et al. The apolipoprotein E genotype predicts longitudinal transitions to mild cognitive impairment but not to Alzheimer's dementia: findings from a nationally representative study. Neuropsychology. 2013;27(1):86-94. doi:10.1037/a0030855.
http://www.ncbi.nlm.nih.gov/pubmed/23356599?dopt=Abstract
Kuye I, Frank RG, McWilliams JM. Cognition and take-up of subsidized drug benefits by Medicare beneficiaries. JAMA Intern Med. 2013;173(12):1100-7. doi:10.1001/jamainternmed.2013.845.
http://www.ncbi.nlm.nih.gov/pubmed/23649604?dopt=Abstract
Savva GM, Maty SC, Setti A, Feeney J. Cognitive and Physical Health of the Older Populations of England, the United States, and Ireland: International Comparability of The Irish Longitudinal Study on Ageing. Journal of the American Geriatrics Society. 2013;61:S291-S298. doi:http://dx.doi.org/10.1111/jgs.12196.
Ferrão FAntónio d. Dívida das famílias : uma analise para a Europa (HRS) e EUA (SHARE) para 2006 e 2010. 2013.
Pollack CE, Cubbin C, Sania A, et al. Do wealth disparities contribute to health disparities within racial/ethnic groups?. Journal of Epidemiology and Community Health. 2013;67:439-445. doi:10.1136/jech-2012-200999.
Crimmins EM, Faul J, Kim JK, et al. Documentation of Biomarkers in the 2006 and 2008 Health and Retirement Study. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2013.PDF icon Download PDF (364.89 KB)
Ferreira PCavalcanti, Santos MRodrigues. The effect of social security, health, demography and technology on retirement. Review of Economic Dynamics. 2013;16(2):350-370. doi:http://dx.doi.org/10.1016/j.red.2013.01.003.
Kim H, Franks B, E. Higgins T. Evidence that Self-Regulatory Mode Affects Retirement Savings. Journal of Aging and Social Policy. 2013;25(3):248-263. doi:10.1080/08959420.2013.791788.
Callaghan BC, Burke JF, Rodgers A, et al. Expenditures in the elderly with peripheral neuropathy: Where should we focus cost-control efforts?. Neurology. Clinical Practice. 2013;3(5):421-430. doi:10.1212/CPJ.0b013e3182a78fb1.
Gure TR, Langa KM, Fisher GG, Piette JD, Plassman BL. Functional limitations in older adults who have cognitive impairment without dementia. J Geriatr Psychiatry Neurol. 2013;26(2):78-85. doi:10.1177/0891988713481264.
http://www.ncbi.nlm.nih.gov/pubmed/23559664?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
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
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