HRS Bibliography

Bibliography Search
Export 3271 results:
Filters: First Letter Of Last Name is S  [Clear All Filters]

C

Dunlop DD, Manheim LM, Yelin E, Song J, Chang RW. The Costs of Arthritis. Arthritis and Rheumatism. 2003;49(1):101-113. doi:10.1002/art.10913.
Hoffman GJ, Hays RD, Shapiro MF, Wallace SP, Ettner SL. The Costs of Fall-Related Injuries among Older Adults: Annual Per-Faller, Service Component, and Patient Out-of-Pocket Costs. Health Serv Res. 2017;52(5):1794-1816. doi:10.1111/1475-6773.12554.
http://www.ncbi.nlm.nih.gov/pubmed/27581952?dopt=Abstract
Sevilla JP, Klusty JM, Song Y, et al. Cost-utility and cost-benefit analysis of TAVR availability in the US severe symptomatic aortic stenosis patient population. Journal of Medical Economics. 2022;25(1):1051-1060. doi:10.1080/13696998.2022.2112442.
Sevilla JP, Klusty JM, Song Y, et al. Cost-utility and cost-benefit analysis of TAVR availability in the US severe symptomatic aortic stenosis patient population. Journal of Medical Economics. 2022;25(1):1051-1060. doi:10.1080/13696998.2022.2112442.
Szinovacz ME. Couple Retirement Patterns and Retirement Age: A Comparison of Austria and the United States. International Journal of Sociology and Social Policy. 2002;32(2).
Shuey K. Couples Approaching Retirement: The Organization of Pension Behavior within the Family. 2001.
Su F, Chao J, Zhang B, Zhang N, Luo Z, Han J. Couples' Cognition, Intimacy, and Activity Engagement: An Actor-Partner Interdependence Model Analysis. Clinical gerontologist. Forthcoming:1-13. doi:10.1080/07317115.2023.2274524.
Shah M, Paulson D. C-reactive protein level partially mediates the relationship between moderate alcohol use and frailty: the Health and Retirement Study. Age Ageing. 2016;45(6):874-878. doi:10.1093/ageing/afw103.
http://www.ncbi.nlm.nih.gov/pubmed/27496931?dopt=Abstract
Skoblow HF, Proulx CM. C-Reactive Protein, Subjective Aging, and Incident Cardiovascular Disease: A Mediation Model. The Journals of Gerontology, Series B . 2022;77(9):1654-1658. doi:10.1093/geronb/gbac051.
Helppie-McFall B, Carr DC, Sonnega A. Creating a Public Resource: O*NET Job Characteristics Data Set for Use with the Health and Retirement Study and Other Surveys. Ann Arbor, MI: Michigan Retirement and Disability Research Center, University of Michigan; 2022.
Ping Y, Odden MC, Stawski RS, Magid HSAbdel, Wu C. Creation and validation of a polysocial score for mortality among community-dwelling older adults in the USA: The Health and Retirement Study. Age and Ageing. 2021;50(6):2214-2221. doi:10.1093/ageing/afab174.
Silverman DS, Mitchell OS. Crime and Early Retirement Among Older Americans. Philadelphia, PA: University of Pennsylvania Population Aging Resear; 2004.
Lachman ME, Spiro, III A. Critique of Cognitive Measures in the Health and Retirement Study (HRS) and the Asset and Health Dynamics among the Oldest Old (AHEAD) Study.; 2002.
Lachman ME, Spiro, III A. Critique of Cognitive Measures in the Health Retirement Study (HRS) and the Asset and Health Dynamics among the Oldest Old (AHEAD) Study. 2002.PDF icon Download PDF  (242.27 KB)
Soldo BJ. Cross pressures on middle-aged adults: a broader view. J Gerontol B Psychol Sci Soc Sci. 1996;51(6):S271-3. doi:10.1093/geronb/51b.6.s271.
http://www.ncbi.nlm.nih.gov/pubmed/8931626?dopt=Abstract
Soldo BJ, Mitchell OS, Tfaily R, McCabe J. Cross-Cohort Differences in Health on the Verge of Retirement. In: Redefining Retirement: How Will Boomers Fare?. Redefining Retirement: How Will Boomers Fare? New York, NY: Oxford University Press; 2007. doi:10.3386/w12762.
Shim H, Ailshire JA, Crimmins EM. CROSS-COUNTRY COMPARISON OF INTERNET USE AND DEPRESSION BY GENDER: THE ROLE OF INTERGENERATIONAL FACTORS. Innovation in Aging. 2019;3(Suppl 1):S330 - S331.
Calvo E, Allel K, Staudinger UM, Castillo-Carniglia A, Medina JT, Keyes KM. Cross-country differences in age trends in alcohol consumption among older adults: a cross-sectional study of individuals aged 50 years and older in 22 countries. Addiction. 2021;116(6):1399-1412. doi:10.1111/add.15292.
Ayalon L, Shiovitz-Ezra S, Roziner I. A cross-lagged model of the reciprocal associations of loneliness and memory functioning. Psychol Aging. 2016;31(3):255-61. doi:10.1037/pag0000075.
http://www.ncbi.nlm.nih.gov/pubmed/26974589?dopt=Abstract
Sugden K, Moffitt TE, Arpawong TEm, et al. Cross-National and Cross-Generational Evidence That Educational Attainment May Slow the Pace of Aging in European-Descent Individuals. The Journal of Gerontology, Series B . 2023;78(8):1375-1385. doi:10.1093/geronb/gbad056.
Oksuzyan A, Crimmins EM, Saito Y, O'Rand AM, Vaupel JW, Christensen K. Cross-national comparison of sex differences in health and mortality in Denmark, Japan and the US. Eur J Epidemiol. 2010;25(7):471-80. doi:10.1007/s10654-010-9460-6.
http://www.ncbi.nlm.nih.gov/pubmed/20495953?dopt=Abstract
Vonk JMJ, Gross AL, Zammit AR, et al. Cross-national harmonization of cognitive measures across HRS HCAP (USA) and LASI-DAD (India). PLoS One. 2022;17(2):e0264166. doi:10.1371/journal.pone.0264166.
Vonk JMJ, Gross AL, Zammit AR, et al. Cross-national harmonization of cognitive measures across HRS HCAP (USA) and LASI-DAD (India). PLoS One. 2022;17(2):e0264166. doi:10.1371/journal.pone.0264166.
Kim S, Sargent-Cox KA, French DJ, Kendig H, Anstey KJ. Cross-national insights into the relationship between wealth and wellbeing: a comparison between Australia, the United States of America and South Korea. Ageing and Society. 2012;32(1):41.
Canada B, Stephan Y, Fundenberger H, Sutin AR, Terracciano A. Cross-sectional and prospective association between personality traits and IADL/ADL limitations. Psychology and Aging. 2021;36(3):309-321. doi:10.1037/pag0000502.