HRS Bibliography

Bibliography Search
Export 606 results:
Filters: First Letter Of Last Name is V  [Clear All Filters]

C

George CJ, Hall CB, Weiss EF, Verghese J, Neptune E, Abadir P. Centrally Acting ACE Inhibitor Use and Physical Performance in Older Adults. J Frailty Aging. 2023;12(2):103-108. doi:10.14283/jfa.2023.10.
Carey MR, Prescott HC, Iwashyna TJ, Wilson ME, Fagerlin A, Valley TS. Changes in Self-Rated Health After Sepsis in Older Adults: A Retrospective Cohort Study. Chest. 2020;S0012-3692(20):31732-3. doi:10.1016/j.chest.2020.05.606.
Vable AM. Changes to the Social Patterning of Economic Resources and the Distribution of Mental and Biological Health Markers. 2015.
Poterba JM, Venti SF, Wise DA. The Changing Landscape of Pensions in the United States. In: Increasing the Effectiveness of Financial Education and Saving Programs. Increasing the Effectiveness of Financial Education and Saving Programs. NBER; 2007. doi:10.3386/w13381.
Ulrich EE, Vonderhaar J, Tenhouse A. Characteristics of older adults who consume alcohol while on antidepressants. The Consultant Pharmacist. 2017;32(7):415-422. doi:10.4140/TCP.n.2017.415.
Venti SF, Wise DA. Choice, Chance, and Wealth Dispersion at Retirement. In: Ogura S, Tachibanaki T, Wise DA, eds. Aging Issues in the United States and Japan. Aging Issues in the United States and Japan. Chicago: University of Chicago Press; 2001:25-64. doi:10.3386/w7521.
Díaz-Venegas C, Downer B, Langa KM, Wong R. Cognitive Functioning of U.S. Adults by Race and Hispanic Origin. In: Vega WA, Angel JL, Robledo LMiguel F, Markides KS, eds. Contextualizing Health and Aging in the Americas. Contextualizing Health and Aging in the Americas. Cham: Springer International Publishing; 2018:85 - 107. doi:10.1007/978-3-030-00584-910.1007/978-3-030-00584-9_5.
Henretta JC, Van Voorhis MF, Soldo BJ. Cohort Differences in Parental Financial Help to Adult Children. Demography. 2018;55(4):1567-1582. doi:10.1007/s13524-018-0687-2.
http://www.ncbi.nlm.nih.gov/pubmed/29907922?dopt=Abstract
Michaud P-C, Vermeulen F. A Collective Retirement Model: Identification and estimation in the presence of externalities. Labour Economics. 2004;18(2):159-167.
Vivek S, Thyagarajan B, Nelson HHammond, Prizment A, Crimmins EM, Faul J. COMBINED EFFECT OF CMV SEROPOSITIVITY AND SYSTEMIC INFLAMMATION ON DEMENTIA PREVALENCE IN CANCER SURVIVORS. Innovation in Aging. 2019;3:S461-S461. doi:10.1093/geroni/igz038.1724.
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
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
Stenholm S, Westerlund H, Head J, et al. Comorbidity and functional trajectories from midlife to old age: the Health and Retirement Study. J Gerontol A Biol Sci Med Sci. 2015;70(3):332-8. doi:10.1093/gerona/glu113.
http://www.ncbi.nlm.nih.gov/pubmed/25060316?dopt=Abstract
Lain D. Comparing Health and Employment in England and the United States. In: Vickerstaff S, Phillipson C, Wilkie R, eds. Work, Health and Well-Being: The Challenges of Managing Health at Work. Work, Health and Well-Being: The Challenges of Managing Health at Work. Bristol, UK: Policy Press; 2012:57-78. doi:10.1332/policypress/9781847428080.003.0004.
Erdenesuren L, De Bresser J, van Soest A. Comparing observed and perceived joint survival probabilities of married couples. Tilburg, Netherlands: Netspar; 2021.
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.
Marshall A, Nazroo J, Feeney K, Lee J, Vanhoutte B, Pendleton N. Comparison of hypertension healthcare outcomes among older people in the USA and England. J Epidemiol Community Health. 2016;70(3):264-70. doi:10.1136/jech-2014-205336.
http://www.ncbi.nlm.nih.gov/pubmed/26598759?dopt=Abstract
Hernandez B, Voll S, Lewis NA, et al. Comparisons of disease cluster patterns, prevalence and health factors in the USA, Canada, England and Ireland. BMC Public Health. 2021;21(1):1674. doi:10.1186/s12889-021-11706-8.
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