HRS Bibliography

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Yorke AM, Curtis AB, Shoemaker M, Vangsnes E. The impact of multimorbidity on grip strength in adults age 50 and older: Data from the health and retirement survey (HRS). Arch Gerontol Geriatr. 2017;72:164-168. doi:10.1016/j.archger.2017.05.011.
http://www.ncbi.nlm.nih.gov/pubmed/28667843?dopt=Abstract
Forman-Hoffman VL, Richardson KK, Yankey JW, Hillis SL, Wallace RB, Wolinsky FD. Impact of functional limitations and medical comorbidity on subsequent weight changes and increased depressive symptoms in older adults. J Aging Health. 2008;20(4):367-84. doi:10.1177/0898264308315851.
http://www.ncbi.nlm.nih.gov/pubmed/18390865?dopt=Abstract
McFadden D, Hoynes H. The Impact of Demographics on Housing and Nonhousing Wealth in the United States. In: Yashiro N, Hurd MD, eds. The Economic Effects of Aging in the United States and Japan. The Economic Effects of Aging in the United States and Japan. Chicago, IL: University of Chicago Press; 1997:153-194.

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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
Yook M. A holistic approach to understanding retirement preparedness. 2014;3639324:258.
Li Z-H, Bin Lv Y-, Zhong W-F, et al. High-Density Lipoprotein Cholesterol and All-Cause and Cause-Specific Mortality Among the Elderly. J Clin Endocrinol Metab. 2019;104(8):3370-3378. doi:10.1210/jc.2018-02511.
http://www.ncbi.nlm.nih.gov/pubmed/30869791?dopt=Abstract
Yashin AI, Fang F, Kovtun M, et al. Hidden heterogeneity in Alzheimer's disease: Insights from genetic association studies and other analyses. Experimental Gerontology. 2018;107:148-160. doi:10.1016/j.exger.2017.10.020.
Yashin AI, Fang F, Kovtun M, et al. Hidden heterogeneity in Alzheimer's disease: Insights from genetic association studies and other analyses. Experimental Gerontology. 2018;107:148-160. doi:10.1016/j.exger.2017.10.020.
Kim H, Yoon W, Zurlo KA. Health Shocks, Out-of-Pocket Medical Expenses and Consumer Debt Among Middle-Aged and Older Americans. The Journal of Consumer Affairs. 2012;46(3).
Gillen M, Yang H, Kim H. Health Literacy and Difference in Current Wealth Among Middle-Aged and Older Adults. Journal of Family and Economic Issues. 2019. doi:10.1007/s10834-019-09648-w.
Koijen RSJ, Van Nieuwerburgh S, Yogo M. Health and Mortality Delta: Assessing the Welfare Cost of Household Insurance Choice. Journal of Finance. 2016;71(2):957-1010. doi:10.1111/jofi.12273.

G

Broer L, Aron S. Buchman, Deelen J, Smith JA, et al. GWAS of longevity in CHARGE consortium confirms APOE and FOXO3 candidacy. J Gerontol A Biol Sci Med Sci. 2015;70(1):110-8. doi:10.1093/gerona/glu166.
http://www.ncbi.nlm.nih.gov/pubmed/25199915?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
Matteini AM, Tanaka T, Karasik D, et al. GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium. Aging Cell. 2016;15(5):792-800. doi:10.1111/acel.12468.
http://www.ncbi.nlm.nih.gov/pubmed/27325353?dopt=Abstract
Matteini AM, Tanaka T, Karasik D, et al. GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium. Aging Cell. 2016;15(5):792-800. doi:10.1111/acel.12468.
http://www.ncbi.nlm.nih.gov/pubmed/27325353?dopt=Abstract
Yorke AM, Curtis AB, Shoemaker M, Vangsnes E. Grip Strength Values Stratified by Age, Gender, and Chronic Disease Status in Adults Aged 50 Years and Older. Journal of Geriatric Physical Therapy. 2015;38(3):115-121. doi:10.1519/jpt.0000000000000037.
Yorke AM. Grip strength, multimorbidity, and disability. 2013;3579432:95.
Robinson MR, English G, Moser G, et al. Genotype–covariate interaction effects and the heritability of adult body mass index. Nature Genetics. 2017;49(8):1174-1181. doi:10.1038/ng.3912.
Okbay A, Jonathan P. Beauchamp, Fontana MAlan, Chen G-B, 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, Jonathan P. Beauchamp, Fontana MAlan, Chen G-B, 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
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.
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.
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