HRS Bibliography

Bibliography Search
Export 1131 results:
Filters: First Letter Of Last Name is A  [Clear All Filters]

C

Park SS, Pratt B, Pebley AR, et al. Constructing a Work History Dataset of Jobs Held During Early and Middle Adulthood Using the Health and Retirement Study. Los Angeles, CA: UCLA: California Center for Population Research ; 2022.
Akushevich I, Yashkin A, Ukraintseva S, Yashin AI, Kravchenko J. The Construction of a Multidomain Risk Model of Alzheimer's Disease and Related Dementias. Journal of Alzheimer's Disease : JAD. 2023;96(2):535-550. doi:10.3233/JAD-221292.
Kutlu-Koc V, Alessie RJM, Kalwij A. Consumption behavior, annuity income and mortality risk of retirees. (Netherlands) Economist. 2017;165(3):349-380. doi:10.1007/s10645-017-9301-z.
Kutlu-Koc V, Alessie RJM, Kalwij A. Consumption Behavior, Annuity Income and Mortality Risk of the Elderly. Tilburg, The Netherlands, Netspar; 2014.
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
Xu D, Lalani N, Arling G. COPING AND LIFE SATISFACTION OF OLDER PEOPLE DURING THE COVID-19 PANDEMIC. Innovation in Aging. 2022;6:878-878. doi:10.1093/geroni/igac059.3134.
Association AHeart. Coronary heart disease before age 45 may increase risk of dementia later in life.
Wang Y, Shen H, Wong R, Amano T. CORRELATES AND HEALTH OUTCOMES OF LONG-TERM VOLUNTEERING: EVIDENCE FROM 16 YEARS OF THE HEALTH AND RETIREMENT STUDY. Innovation in Aging. 2018;2:331-331. doi:10.1093/geroni/igy023.1211.
Aging NCouncil on. Cost of Chronic Disease in Retirement Is Highest for Women and People of Color. PR Newswire.
Apenbrink C. The Cost of Worrying About an Epidemic: Ebola Concern and Cognitive Function in the US. ECONtribute; 2021.
Anderlucci L, Viroli C. Covariance pattern mixture models for the analysis of multivariate heterogeneous longitudinal data. Annals of Applied Statistics. 2015;9(2):777-800. doi:10.1214/15-aoas816.
Beydoun HA, Beydoun MA, Gautam RS, et al. COVID-19 pandemic impact on trajectories in cardiometabolic health, physical activity and functioning among adults from the 2006-2020 Health and Retirement Study. The Journal of Gerontology, Series A . 2022;77(7):1371-1379. doi:10.1093/gerona/glac028.
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.
Lee J, Phillips DF, Wilkens J, et al. Cross-Country Comparisons of Disability and Morbidity: Evidence from the Gateway to Global Aging Data. The Journals of Gerontology: Series A. 2018;73(11):1519-1524. doi:10.1093/gerona/glx224.
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.
Michaud P-C, vanSoest AHO, Andreyeva T. Cross-Country Variation in Obesity Patterns among Older Americans and Europeans. Forum for Health Economics and Policy (Aging and Medical Care Costs). 2007;10(2):32.
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.
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.
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.
Xu D, Arling G, Wang K. A cross-sectional study of self-rated health among older adults: a comparison of China and the United States. BMJ Open. 2019;9(7):e027895. doi:10.1136/bmjopen-2018-027895.
http://www.ncbi.nlm.nih.gov/pubmed/31371288?dopt=Abstract
Yank V, Agarwal S, Loftus P, Asch S, Rehkopf D. Crowdsourced health data: Comparability to a US national survey, 2013–2015. American Journal of Public Health. 2017;107(8):1283-1289. doi:10.2105/AJPH.2017.303824.