HRS Bibliography

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Journal Article

Choi H, Steptoe A, Heisler MM, et al. Comparison of Health Outcomes Among High- and Low-Income Adults Aged 55 to 64 Years in the US vs England. JAMA Intern Med. 2020. doi:10.1001/jamainternmed.2020.2802.
Choi H, Steptoe A, Heisler MM, et al. Comparison of Health Outcomes Among High- and Low-Income Adults Aged 55 to 64 Years in the US vs England. JAMA Intern Med. 2020. doi:10.1001/jamainternmed.2020.2802.
Cheshire H, Ofstedal MBeth, Scholes S, Schroeder M. A comparison of response rates in the English Longitudinal Study of Ageing and the Health and Retirement Study. Longit Life Course Stud. 2011;2(2):127-144. doi:10.14301/llcs.v2i2.118.
http://www.ncbi.nlm.nih.gov/pubmed/24432049?dopt=Abstract
Yasaitis L, Berkman LF, Chandra A. Comparison of self-reported and Medicare claims-identified acute myocardial infarction. Circulation. 2015;131(17):1477-85; discussion 1485. doi:10.1161/CIRCULATIONAHA.114.013829.
Langa KM, Larson EB, Crimmins EM, et al. A Comparison of the Prevalence of Dementia in the United States in 2000 and 2012. JAMA Intern Med. 2017;177(1):51-58. doi:10.1001/jamainternmed.2016.6807.
http://www.ncbi.nlm.nih.gov/pubmed/27893041?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Warner DF, Koroukian SM, Schiltz NK, et al. Complex multimorbidity and breast cancer screening among midlife and older women: The role of perceived need. The Gerontologist. 2019;59(Supplement_1):S77 - S87. doi:10.1093/geront/gny180.
Chao Y-S, Wu C-J, Wu H-C, et al. Composite diagnostic criteria are problematic for linking potentially distinct populations: the case of frailty. Scientific Reports. 2020;10(1). doi:10.1038/s41598-020-58782-1.
Chao Y-S, Wu C-J, Wu H-C, et al. Composite diagnostic criteria are problematic for linking potentially distinct populations: the case of frailty. Scientific Reports. 2020;10(1). doi:10.1038/s41598-020-58782-1.
Chao Y-S, Wu C-J, Wu H-C, et al. Composite diagnostic criteria are problematic for linking potentially distinct populations: the case of frailty. Scientific Reports. 2020;10(1). doi:10.1038/s41598-020-58782-1.
Nho K, Ramanan VK, Horgusluoglu E, et al. Comprehensive gene- and pathway-based analysis of depressive symptoms in older adults. J Alzheimers Dis. 2015;45(4):1197-206. doi:10.3233/JAD-148009.
http://www.ncbi.nlm.nih.gov/pubmed/25690665?dopt=Abstract
Coe NB, Skira MM, Larson EB. A Comprehensive Measure of the Costs of Caring for a Parent: Differences According to Functional Status. Journal of the American Geriatrics Society. 2018;66(10):2003 - 2008. doi:10.1111/jgs.15552.
Wei MY, Luster JE, Chan C-L, Min LC. Comprehensive review of ICD-9 code accuracies to measure multimorbidity in administrative data. BMC Health Services Research. 2020;20. doi:10.1186/s12913-020-05207-4.
Bardenheier BH, Lin J, Zhuo X, et al. Compression of disability between two birth cohorts of US adults with diabetes, 1992-2012: a prospective longitudinal analysis. Lancet Diabetes Endocrinol. 2016;4(8):686-694. doi:10.1016/S2213-8587(16)30090-0.
http://www.ncbi.nlm.nih.gov/pubmed/27298181?dopt=Abstract
Higgins-Chen AT, Thrush KL, Wang Y, et al. A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking. Nature Aging. 2022;2:644–661. doi:10.1038/s43587-022-00248-2.
Calhoun D, Lee SBok. Computer usage and cognitive capability of older adults: Analysis of data from the Health and Retirement Study. Educational Gerontology. 2019;45(1):22-23. doi:10.1080/03601277.2019.1575026.
Li K-K, Cardinal BJ, Acock AC. Concordance of Physical Activity Trajectories Among Middle-Aged and Older Married Couples: Impact of Diseases and Functional Difficulties. The Journals of Gerontology. 2013;68(5):794.
Ayanian JZ, Covinsky KE, Landon BE, McCarthy EP, Wee CC, Steinman MA. Conducting High-Value Secondary Dataset Analysis: An Introductory Guide and Resources. Journal of General Internal Medicine. 2011;26(8):920-929. doi:10.1007/s11606-010-1621-5.
Turvey CL, Carney C, Arndt S, Wallace RB, Herzog AR. Conjugal loss and syndromal depression in a sample of elders aged 70 years or older. Am J Psychiatry. 1999;156(10):1596-601. doi:10.1176/ajp.156.10.1596.
http://www.ncbi.nlm.nih.gov/pubmed/10518172?dopt=Abstract
Lee YSoo, Putnam M, Morrow-Howell N, Inoue M, Greenfield JC, Chen H. Consolidated measures of activity among older adults: results of a three data set comparison. Journal of Gerontological Social Work. 2019. doi:10.1080/01634372.2019.1582123.
http://www.ncbi.nlm.nih.gov/pubmed/30786817?dopt=Abstract
McGarry BE, Tempkin-Greener H, Grabowski DC, Chapman BP, Li Y. Consumer decision-making abilities and long-term care insurance purchase. Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2017. doi:10.1093/geronb/gbx059.
http://www.ncbi.nlm.nih.gov/pubmed/28541583?dopt=Abstract
Campbell JY, Jackson HE, Madrian BC, Tufano P. Consumer Financial Protection. J Econ Perspect. 2011;25(1):91-114. doi:10.1257/jep.25.1.91.
http://www.ncbi.nlm.nih.gov/pubmed/24991083?dopt=Abstract
Levine ME, Crimmins EM, Weir DR, Cole SW. Contemporaneous Social Environment and the Architecture of Late-Life Gene Expression Profiles. American Journal of Epidemiology. 2017;186(5):503-509. doi:10.1093/aje/kwx147.
http://www.ncbi.nlm.nih.gov/pubmed/28911009?dopt=Abstract