HRS Bibliography

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Journal Article

Mariano J, Marques S, Ramos MR, de Vries H. Cognitive functioning mediates the relationship between self-perceptions of aging and computer use behavior in late adulthood: Evidence from two longitudinal studies. Computers in Human Behavior. 2021;121:106807. doi:10.1016/j.chb.2021.106807.
Saito Y, Kim JKi, Davarian S, Hagedorn A, Crimmins EM. Cognitive Performance Among Older Persons in Japan and the United States. Journal of the American Geriatrics Society. 2019. doi:10.1111/jgs.16163.
Dushi I, Iams HM. Cohort differences in wealth and pension participation of near-retirees. Soc Secur Bull. 2008;68(3):45-66.
http://www.ncbi.nlm.nih.gov/pubmed/19260617?dopt=Abstract
Domingue BW, Conley DC, Fletcher JM, Boardman JD. Cohort Effects in the Genetic Influence on Smoking. Behav Genet. 2016;46(1):31-42. doi:10.1007/s10519-015-9731-9.
http://www.ncbi.nlm.nih.gov/pubmed/26223473?dopt=Abstract
Sheehan CM, Domingue BW, Crimmins EM. Cohort Trends in the Gender Distribution of Household Tasks in the United States and the Implications for Understanding Disability. Journal of Aging and Health. 2019. doi:10.1177/0898264318793469.
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?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
Verma C, Zhang M, Li M, Bergren S, Dong XQ. A Comparison of Cognitive Function in Pine Study to Health and Retirement Study & CHARLS Study. Innovation in Aging. 2020;4(Suppl 1):924. doi:10.1093/geroni/igaa057.3390.
O'Shea DM, Alaimo H, Davis JD, Galvin JE, Tremont G. A comparison of cognitive performances based on differing rates of DNA methylation GrimAge acceleration among older men and women. Neurobiology & Aging. 2023;123:83-91. doi:10.1016/j.neurobiolaging.2022.12.011.
Zhang B, Weuve J, Langa KM, et al. Comparison of Particulate Air Pollution From Different Emission Sources and Incident Dementia in the US. JAMA Intern Med. 2023. doi:10.1001/jamainternmed.2023.3300.
Zhang B, Weuve J, Langa KM, et al. Comparison of Particulate Air Pollution From Different Emission Sources and Incident Dementia in the US. JAMA Intern Med. 2023. doi:10.1001/jamainternmed.2023.3300.
Bloomberg M, Dugravot A, Sommerlad A, Kivimäki M, Singh-Manoux A, Sabia S. Comparison of sex differences in cognitive function in older adults between high- and middle-income countries and the role of education: a population-based multicohort study. Age Ageing. 2023;52(2). doi:10.1093/ageing/afad019.
http://www.ncbi.nlm.nih.gov/pubmed/36821646?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Lee AK, L Diaz-Ramirez G, W Boscardin J, Smith AK, Lee SJ. A comprehensive prognostic tool for older adults: Predicting death, ADL disability, and walking disability simultaneously. Journal of the American Geriatrics Society. Forthcoming. doi:10.1111/jgs.17932.
Dey R, M. Islam A. A conditional count model for repeated count data and its application to GEE approach. Statistical Papers. 2017;58(2):485-504. doi:10.1007/s00362-015-0708-9.
Divani AA, Majidi S, Barrett AM, Noorbaloochi S, Luft AR. Consequences of stroke in community-dwelling elderly: the health and retirement study, 1998 to 2008. Stroke. 2011;42(7):1821-5. doi:10.1161/STROKEAHA.110.607630.
http://www.ncbi.nlm.nih.gov/pubmed/21597018?dopt=Abstract
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 4-year mortality in older adults: a prospective cohort study. BMC Geriatr. 2017;17(1):13. doi:10.1186/s12877-016-0390-3.
http://www.ncbi.nlm.nih.gov/pubmed/28077089?dopt=Abstract