HRS Bibliography

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F

Quach L, Gagnon D, Kaiser A, Nguyen U. FALLS AMONG OLDER AMERICAN MEN: THE ROLE OF PAIN AND MILITARY EXPERIENCES IN THE HEALTH AND RETIREMENT STUDY. Innovation in Aging. 2018;2(Suppl 1):150 - 151. doi:10.1093/geroni/igy023.545.
Pearson CF, Quinn CC, Loganathan S, A. Datta R, Mace BBurnham, Grabowski DC. The forgotten middle: Many middle-income seniors will have insufficient resources for housing and health care. Health Affairs. 2019;38(5):851-859. doi:10.1377/hlthaff.2018.05233.

G

Liang J, Bennett JM, Shaw BA, et al. Gender differences in functional status in middle and older age: are there any age variations?. J Gerontol B Psychol Sci Soc Sci. 2008;63(5):S282-92. doi:10.1093/geronb/63.5.s282.
http://www.ncbi.nlm.nih.gov/pubmed/18818448?dopt=Abstract
Oster E, Shoulson I, Quaid K, E. Dorsey R. Genetic adverse selection: Evidence from long-term care insurance and Huntington disease. Journal of Public Economics. 2010;94(11-12):1041-1050. doi:https://doi.org/10.1016/j.jpubeco.2010.06.009.
Locke AE, Kahali B, Berndt SI, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015;518(7538):197-206. doi:10.1038/nature14177.
http://www.ncbi.nlm.nih.gov/pubmed/25673413?dopt=Abstract
Locke AE, Kahali B, Berndt SI, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015;518(7538):197-206. doi:10.1038/nature14177.
http://www.ncbi.nlm.nih.gov/pubmed/25673413?dopt=Abstract
Okbay A, Baselmans BML, De Neve J-E, et al. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nat Genet. 2016;48(6):624-33. doi:10.1038/ng.3552.
http://www.ncbi.nlm.nih.gov/pubmed/27089181?dopt=Abstract
Okbay A, Baselmans BML, De Neve J-E, et al. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nat Genet. 2016;48(6):624-33. doi:10.1038/ng.3552.
http://www.ncbi.nlm.nih.gov/pubmed/27089181?dopt=Abstract
Savage JE, Jansen PR, Stringer S, et al. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nature Genetics. 2018;50(7):912 - 919. doi:10.1038/s41588-018-0152-6.
Okbay A, Beauchamp JP, Fontana MAlan, et al. Genome-wide association study identifies 74 loci associated with educational attainment. Nature. 2016;533(7604):539-42. doi:10.1038/nature17671.
http://www.ncbi.nlm.nih.gov/pubmed/27225129?dopt=Abstract
Okbay A, Beauchamp JP, Fontana MAlan, et al. Genome-wide association study identifies 74 loci associated with educational attainment. Nature. 2016;533(7604):539-42. doi:10.1038/nature17671.
http://www.ncbi.nlm.nih.gov/pubmed/27225129?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

H

Reynolds JR, Quadagno J. Health and Socioeconomic Mobility: The Economic Consequences of Changes in Health for Pre-Retirement Workers.; 1998.
Cahill KE, Giandrea MD, Quinn JF, Office of Productivity and Technology. How Does Occupational Status Impact Bridge Job Prevalence. Washington, D.C.: U.S. Bureau of Labor Statistics; 2011.
Le DDuc, Quashie NT, Prachuabmoh V. How Does Self-Rated Health Differ among Older Vietnamese Men and Women?. Journal of Population Ageing. 2018. doi:10.1007/s12062-018-9223-9.
Quiñones AR, Liang J, Bennett JM, Xu X, Ye W. How does the trajectory of multimorbidity vary across Black, White, and Mexican Americans in middle and old age?. J Gerontol B Psychol Sci Soc Sci. 2011;66(6):739-49. doi:10.1093/geronb/gbr106.
http://www.ncbi.nlm.nih.gov/pubmed/21968384?dopt=Abstract

I

Cahill KE, Quinn JF. The Importance of Gradual Retirement in America Today. Public Policy & Aging Report. 2020;30(3):107 - 112. doi:https://doi.org/10.1093/ppar/praa013.
Cigolle CT, Nagel CL, Blaum CS, Liang J, Quiñones AR. Inconsistency in the Self-report of Chronic Diseases in Panel Surveys: Developing an Adjudication Method for the Health and Retirement Study. J Gerontol B Psychol Sci Soc Sci. 2018;73(5):901-912. doi:10.1093/geronb/gbw063.
http://www.ncbi.nlm.nih.gov/pubmed/27260670?dopt=Abstract
Wu Y, Zeng J, Zhang F, et al. Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits. Nature Communications. 2018;9(1). doi:10.1038/s41467-018-03371-0.

L

Queen TL, Stawski RS, Ryan LH, Smith J. Loneliness in a day: activity engagement, time alone, and experienced emotions. Psychology and Aging. 2014;29(2):297-305. doi:10.1037/a0036889.

M

Qiao Z, Powell J. MHC-Dependent Mate Selection within 872 Spousal Pairs of European Ancestry from the Health and Retirement Study. Genes. 2018;9(2):53. doi:10.3390/genes9010053.
Quinn JF, Burkhauser RV, Cahill KE, Weathers, II RR. The Microeconomics of the Retirement Decision in the United States.; 1998.
Cahill KE, Giandrea MD, Quinn JF. A Micro-Level Analysis of Recent Increases in Labor Force Participation Among Older Workers. Boston: Center for Retirement Research at Boston College; 2008.
Quinones AR, Markwardt S, Botoseneanu A. Multimorbidity Combinations and Disability in Older Adults. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 2016;71(6):823-830. doi:10.1093/gerona/glw035.
Liang J, Xu X, Quiñones AR, Bennett JM, Ye W. Multiple trajectories of depressive symptoms in middle and late life: racial/ethnic variations. Psychol Aging. 2011;26(4):761-77. doi:10.1037/a0023945.
http://www.ncbi.nlm.nih.gov/pubmed/21875216?dopt=Abstract