HRS Bibliography

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Journal Article

Parks AL, Jeon SY, W Boscardin J, et al. Long-term individual and population functional outcomes in older adults with atrial fibrillation. Journal of the American Geriatrics Society. 2021;69(6):1570-1578. doi:10.1101/2020.05.04.20091025.
Hill PL, Beck ED, Jackson JJ. Maintaining Sense of Purpose Following Health Adversity in Older Adulthood: A Propensity Score Matching Examination. The Journals of Gerontology: Series B . 2021;76(8):1574-1579. doi:10.1093/geronb/gbab002.
Xu X, Jensen GA. Managed Care and the Near-Elderly: Effects of plan enrollment on functionality. Applied Economics. 2007;39(16):2027. doi:https://doi.org/10.1080/00036840600707217.
Choi H, Yorgason JB, Johnson DR. Marital Quality and Health in Middle and Later Adulthood: Dyadic Associations. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2016;71(1):154-164. doi:10.1093/geronb/gbu222.
McGrath BM, Johnson PJo, McGrath R, Cawthon PM, Klawitter L, Choi B-J. A Matched Cohort Analysis for Examining the Association Between Slow Gait Speed and Shortened Longevity in Older Americans. Journal of Applied Gerontology. 2022;41(8):1905-1913. doi:10.1177/07334648221092399.
Yang FMargaret, Jones RN. Measurement differences in depression: chronic health-related and sociodemographic effects in older Americans. Psychosom Med. 2008;70(9):993-1004. doi:10.1097/PSY.0b013e31818ce4fa.
http://www.ncbi.nlm.nih.gov/pubmed/18981269?dopt=Abstract
F. Juster T. On the Measurement of Expectations, Uncertainty, and Preferences. The Journals of Gerontology: Social Sciences. 1997;52B(5):S237-9.
Putnam M, Molton IR, Truitt AR, Smith AE, Jensen MP. Measures of aging with disability in U.S. secondary data sets: Results of a scoping review. Disability and Health Journal. 2016;9(1):5-10. doi:10.1016/j.dhjo.2015.07.002.
MacEwan JP, Gill TM, Johnson K, et al. Measuring Sarcopenia Severity in Older Adults and the Value of Effective Interventions. The journal of nutrition, health & aging. 2018. doi:10.1007/s12603-018-1104-7.
Miller S, Johnson N, Wherry LR. MEDICAID AND MORTALITY: NEW EVIDENCE FROM LINKED SURVEY AND ADMINISTRATIVE DATA. Quarterly Journal of Economics. 2021;136(3):1783–1829. doi:10.1093/qje/qjab004.
W Deardorff J, Jing B, Growdon ME, et al. Medication misuse and overuse in community-dwelling persons with dementia. J Am Geriatr Soc. 2023. doi:10.1111/jgs.18463.
Rentería MArce, Briceño EM, Chen D, et al. Memory and language cognitive data harmonization across the United States and Mexico. Alzheimer's & Dementia (Amsterdam, Netherlands). 2023;15(3):e12478. doi:10.1002/dad2.12478.
Jajodia A, Borders A. Memory predicts changes in depressive symptoms in older adults: a bidirectional longitudinal analysis. J Gerontol B Psychol Sci Soc Sci. 2011;66(5):571-81. doi:10.1093/geronb/gbr035.
http://www.ncbi.nlm.nih.gov/pubmed/21742642?dopt=Abstract
Bakulski KM, Fu M, Faul J, Jin Y, Ware EB. Mendelian randomization of smoking behavior on cognitive status among older Americans. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2020;16(S10):e041221. doi:10.1002/alz.041221.
Liu C, Kraja AT, Smith JA, Morrison AC, et al. Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci. Nat Genet. 2016;48(10):1162-70. doi:10.1038/ng.3660.
Deelen J, Evans DS, Arking DE, et al. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nature Communications. 2019;10(1):3669. doi:10.1038/s41467-019-11558-2.
http://www.ncbi.nlm.nih.gov/pubmed/31413261?dopt=Abstract
Deelen J, Evans DS, Arking DE, et al. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nature Communications. 2019;10(1):3669. doi:10.1038/s41467-019-11558-2.
http://www.ncbi.nlm.nih.gov/pubmed/31413261?dopt=Abstract
Deelen J, Evans DS, Arking DE, et al. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nature Communications. 2019;10(1):3669. doi:10.1038/s41467-019-11558-2.
http://www.ncbi.nlm.nih.gov/pubmed/31413261?dopt=Abstract
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
A Erzurumluoglu M, Liu M, Jackson VE, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. 2020;25(10):2392-2409. doi:10.1038/s41380-018-0313-0.
Jackson JS, Lockery SA, F. Juster T. Minority perspectives from the Health and Retirement Study. Introduction: health and retirement among ethnic and racial minority groups. Gerontologist. 1996;36(3):282-4. doi:10.1093/geront/36.3.282.
http://www.ncbi.nlm.nih.gov/pubmed/8682326?dopt=Abstract
Jackson JS, Lockery SA, F. Juster T. Minority perspectives from the Health and Retirement Study. Introduction: health and retirement among ethnic and racial minority groups. Gerontologist. 1996;36(3):282-4. doi:10.1093/geront/36.3.282.
http://www.ncbi.nlm.nih.gov/pubmed/8682326?dopt=Abstract