HRS Bibliography

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2021

Wu Q, Ailshire JA, Kim JK, Crimmins EM. Cardiometabolic Risk Trajectory among Older Americans: Findings from the Health and Retirement Study. The Journals of Gerontology, Series A. 2021;76(12):2265-2274. doi:10.1093/gerona/glab205.
Armour P, Smart R, Brennan E. The Causes and Consequences of Opioid Use among Older Americans: A Panel Survey Approach. Ann Arbor, MI: Michigan Retirement and Disability Research Center, University of Michigan; 2021.
Tipirneni R, Levy HG, Langa KM, et al. Changes in Health Care Access and Utilization for Low-SES Adults Age 51-64 after Medicaid Expansion. The Journal of Gerontology: Series B. 2021;76(6):1218-1230. doi:10.1093/geronb/gbaa123.
Armour P, Knapp D. The Changing Picture of Who Claims Social Security Early. Washington, D.C.: AARP Public Policy Institute; 2021. doi:10.26419/ppi.00133.001.
Kopinska JAleksandra, Atella V, Bhattacharya J, Miller G. The Changing Relationship between Bodyweight and Longevity in High- and Low-Income Countries. Cambridge, MA: National Bureau of Economic Research; 2021. doi:10.3386/w28813.
Zheng L, Matthews FE, Anstey KJ. Cognitive health expectancies of cardiovascular risk factors for cognitive decline and dementia. Age and Ageing. 2021;50(1):169-175. doi:10.1093/ageing/afaa111.
Armour P, Knapp D. The Consequences of Claiming Social Security Benefits at Age 62. Washington, D.C.: AARP Public Policy Institute; 2021. doi:10.26419/ppi.00134.001.
Armour P, Knapp D. The Consequences of Claiming Social Security Benefits at Age 62.
Apenbrink C. The Cost of Worrying About an Epidemic: Ebola Concern and Cognitive Function in the US. ECONtribute; 2021.
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.
Arora K, Xu L, Bhagianadh D. Dementia and Cognitive Decline in Older Adulthood: Are Agricultural Workers at Greater Risk?. The Journals of Gerontology: Series B. 2021;76(8):1629-1643. doi:10.1093/geronb/gbab005.
Arapakis K, Brunner E, French E, McCauley J. Dementia and disadvantage in the USA and England: population-based comparative study. BMJ Open. 2021;11(10):e045186. doi:10.1136/bmjopen-2020-045186.
Ajnakina O, Agbedjro D, McCammon RJ, et al. Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation. BMC Medical Research Methodology. 2021;21(1):8. doi:10.1186/s12874-020-01204-7.
Ajnakina O, Agbedjro D, McCammon RJ, et al. Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation. BMC Medical Research Methodology. 2021;21(1):8. doi:10.1186/s12874-020-01204-7.
Sanchez-Niubo A, Forero CG, Wu Y-T, et al. Development of a common scale for measuring healthy ageing across the world: results from the ATHLOS consortium. International Journal of Epidemiology. 2021;50(3):880-892. doi:10.1093/ije/dyaa236.
Sanchez-Niubo A, Forero CG, Wu Y-T, et al. Development of a common scale for measuring healthy ageing across the world: results from the ATHLOS consortium. International Journal of Epidemiology. 2021;50(3):880-892. doi:10.1093/ije/dyaa236.
Sanchez-Niubo A, Forero CG, Wu Y-T, et al. Development of a common scale for measuring healthy ageing across the world: results from the ATHLOS consortium. International Journal of Epidemiology. 2021;50(3):880-892. doi:10.1093/ije/dyaa236.
Abowd JM, Schmutte IM, Vilhuber L. Disclosure Limitation and Confidentiality Protection in Linked Data. In: Chun AYoung, Larsen MD, Durrant G, Reiter JP, eds. Administrative Records for Survey Methodology. Administrative Records for Survey Methodology. John Wiley & Sons, Ltd; 2021:25-59. doi:https://doi.org/10.1002/9781119272076.ch2.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.