HRS Bibliography

Bibliography Search
Export 621 results:
Filters: First Letter Of Last Name is V  [Clear All Filters]

Book Chapter

Poterba JM, Rauh J, Venti SF, Wise DA. Utility Evaluation of Risk in Retirement Saving Accounts. In: Wise DA, ed. Analyses in the Economics of Aging. Analyses in the Economics of Aging. Chicago: University of Chicago Press; 2005. doi:10.3386/w9892.

Conference Paper

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.

Journal Article

VARGHESE JITHINSAM, LI CHIHUA, Lu P. 1249-P: Lack of Concordance of Blood Pressure Control among Heterosexual Couples with Diabetes—An Analysis of Aging Cohorts from USA, China, and India. Diabetes. 2023;72:1249-P. doi:10.2337/db23-1249-P.
Abdellaoui A, Yengo L, Verweij KJH, Visscher PM. 15 years of GWAS discovery: Realizing the promise. Am J Hum Genet. 2023;110(2):179-194. doi:10.1016/j.ajhg.2022.12.011.
http://www.ncbi.nlm.nih.gov/pubmed/36634672?dopt=Abstract
Abdellaoui A, Yengo L, Verweij KJH, Visscher PM. 15 years of GWAS discovery: Realizing the promise. Am J Hum Genet. 2023;110(2):179-194. doi:10.1016/j.ajhg.2022.12.011.
http://www.ncbi.nlm.nih.gov/pubmed/36634672?dopt=Abstract
Watts N, Amann M, Arnell N, et al. The 2020 report of The Lancet Countdown on health and climate change: responding to converging crises. Lancet. 2021;397(10269):129-170. doi:10.1016/S0140-6736(20)32290-X.
Poterba JM, Venti SF, Wise DA. 401(k) Plans and future patterns of retirement saving. American Economic Review. 1998;88(2):179-184.
Ehrlich JR, Goldstein J, Swenor BK, Whitson H, Langa KM, Veliz P. Addition of Vision Impairment to a Life-Course Model of Potentially Modifiable Dementia Risk Factors in the US. JAMA Neurology. 2022;79(6):623-626. doi:10.1001/jamaneurol.2022.0723.
Schonlau M, vanSoest AHO, Couper MP, Kapteyn A, Winter J. Adjust for Selection Bias in Web Surveys with Propensity Scores: The case of the Health and Retirement Study. Proceedings of the American Statistical Association. 2004.
Garcia M, Ortiz K, Arévalo SP, et al. Age of Migration and Cognitive Function Among Older Latinos in the United States. Journal of Alzheimer's Disease. 2020;76(4):1493-1511. doi:10.3233/JAD-191296.
Vivek S, Crimmins EM, Prizment AE, et al. Age-related differences in T cell subsets and markers of subclinical inflammation in aging are independently associated with type 2 diabetes in the Health and Retirement Study. Canadian Journal of Diabetes. 2023;47(7):594-602.e6. doi:10.1016/j.jcjd.2023.05.010.
Thyagarajan B, Faul J, Vivek S, et al. Age-related differences in T cell subsets in a nationally representative sample of people over age 55: Findings from the Health and Retirement Study. The Journals of Gerontology, Series A . 2022;77(5):927-933. doi:10.1093/gerona/glab300.
Stenholm S, Westerlund H, Salo P, et al. Age-related trajectories of physical functioning in work and retirement: The role of sociodemographic factors, lifestyle and disease. Journal of Epidemiology and Community Health. 2014;68(6):503-509. doi:10.1136/jech-2013-203555.
Verbrugge LM, Latham K, Clarke PJ. Aging with disability for midlife and older adults. Research on Aging. 2017;39(6):741-777. doi:10.1177/0164027516681051.
Direk N, Williams S, Smith JA, et al. An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression Phenotype. Biological Psychiatry. 2017;82(5):322-329. doi:10.1016/j.biopsych.2016.11.013.
Direk N, Williams S, Smith JA, et al. An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression Phenotype. Biological Psychiatry. 2017;82(5):322-329. doi:10.1016/j.biopsych.2016.11.013.
Direk N, Williams S, Smith JA, et al. An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression Phenotype. Biological Psychiatry. 2017;82(5):322-329. doi:10.1016/j.biopsych.2016.11.013.
Saczynski JS, Rosen AB, McCammon RJ, et al. Antidepressant Use and Cognitive Decline: The Health and Retirement Study. Am J Med. 2015;128(7):739-46. doi:10.1016/j.amjmed.2015.01.007.
http://www.ncbi.nlm.nih.gov/pubmed/25644319?dopt=Abstract
Llibre-Guerra JJ, Li J, Qian Y, et al. Apolipoprotein E (APOE) genotype, dementia, and memory performance among Caribbean Hispanic versus US populations. Alzheimers Dement. 2023;19(2):602-610. doi:10.1002/alz.12699.
Nakamura JS, Delaney SW, Diener E, VanderWeele TJ, Kim ES. Are all domains of life satisfaction equal? Differential associations with health and well-being in older adults. Quality of Life Research. 2021. doi:10.1007/s11136-021-02977-0.
Veal B, Yauk JAnn, Meng H. ARE CAREGIVERS HEALTHIER?: ASSESSING CAREGIVERS' EPISODIC MEMORY IN A MATCHED AND UNMATCHED SAMPLE. Innovation in Aging. 2022;6(Suppl 1):548. doi:10.1093/geroni/igac059.2077.
Hong JH, Nakamura JS, Berkman LF, et al. Are loneliness and social isolation equal threats to health and well-being? An outcome-wide longitudinal approach. SSM Popul Health. 2023;23:101459. doi:10.1016/j.ssmph.2023.101459.
Vable AM, Kawachi I, Canning D, M. Glymour M, Jimenez MP, Subramanian SV. Are There Spillover Effects from the GI Bill? The Mental Health of Wives of Korean War Veterans. PLoS One. 2016;11(5):e0154203. doi:10.1371/journal.pone.0154203.
http://www.ncbi.nlm.nih.gov/pubmed/27186983?dopt=Abstract
de la Fuente J, Caballero FFélix, Verdes E, et al. Are younger cohorts in the USA and England ageing better?. International journal of epidemiology. 2019;48:1906-1913. doi:10.1093/ije/dyz126.
van der Leeuw G, Ayers E, Blankenstein AH, van der Horst HE, Verghese J. The association between pain and prevalent and incident Motoric Cognitive Risk syndrome in older adults. Archives of Gerontology and Geriatrics. 2019:103991. doi:https://doi.org/10.1016/j.archger.2019.103991.