HRS Bibliography

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Aneshensel CS, Ko MJ, Chodosh J, Wight RG. The urban neighborhood and cognitive functioning in late middle age. J Health Soc Behav. 2011;52(2):163-79. doi:10.1177/0022146510393974.
http://www.ncbi.nlm.nih.gov/pubmed/21673145?dopt=Abstract
Wight RG, Cummings JR, Karlamangla AS, Aneshensel CS. Urban neighborhood context and change in depressive symptoms in late life. J Gerontol B Psychol Sci Soc Sci. 2009;64(2):247-51. doi:10.1093/geronb/gbn016.
http://www.ncbi.nlm.nih.gov/pubmed/19181693?dopt=Abstract
Wight RG, Cummings JR, Karlamangla AS, Aneshensel CS. Urban neighborhood context and mortality in late life. J Aging Health. 2010;22(2):197-218. doi:10.1177/0898264309355980.
http://www.ncbi.nlm.nih.gov/pubmed/20056813?dopt=Abstract
Wight RG, Aneshensel CS, Miller-Martinez D, et al. Urban neighborhood context, educational attainment, and cognitive function among older adults. Am J Epidemiol. 2006;163(12):1071-8. doi:10.1093/aje/kwj176.
http://www.ncbi.nlm.nih.gov/pubmed/16707655?dopt=Abstract
Aneshensel CS, Wight RG, Miller-Martinez D, Botticello AL, Karlamangla AS, Seeman T. Urban neighborhoods and depressive symptoms among older adults. J Gerontol B Psychol Sci Soc Sci. 2007;62(1):S52-9. doi:10.1093/geronb/62.1.s52.
http://www.ncbi.nlm.nih.gov/pubmed/17284567?dopt=Abstract
Wight RG, Ko MJ, Aneshensel CS. Urban Neighborhoods and Depressive Symptoms in Late Middle Age. Res Aging. 2011;33(1):28-50. doi:10.1177/0164027510383048.
http://www.ncbi.nlm.nih.gov/pubmed/21572903?dopt=Abstract
Wight RG, Aneshensel CS, Barrett C, Ko MJ, Chodosh J, Karlamangla AS. Urban neighbourhood unemployment history and depressive symptoms over time among late middle age and older adults. J Epidemiol Community Health. 2013;67(2):153-8. doi:10.1136/jech-2012-201537.
http://www.ncbi.nlm.nih.gov/pubmed/22918896?dopt=Abstract
Nygaard IE, Turvey CL, Burns TL, Chrischilles EA, Wallace RB. Urinary incontinence and depression in middle-aged United States women. Obstet Gynecol. 2003;101(1):149-56. doi:10.1016/s0029-7844(02)02519-x.
http://www.ncbi.nlm.nih.gov/pubmed/12517660?dopt=Abstract
Wolinsky FD, Liu L, Miller TR, et al. The use of chiropractors by older adults in the United States. Chiropr Osteopat. 2007;15:12. doi:10.1186/1746-1340-15-12.
http://www.ncbi.nlm.nih.gov/pubmed/17822549?dopt=Abstract
Wolinsky FD, Liu L, Miller TR, et al. The use of chiropractors by older adults in the United States. Chiropr Osteopat. 2007;15:12. doi:10.1186/1746-1340-15-12.
http://www.ncbi.nlm.nih.gov/pubmed/17822549?dopt=Abstract
Wolinsky FD, Liu L, Miller TR, et al. The use of chiropractors by older adults in the United States. Chiropr Osteopat. 2007;15:12. doi:10.1186/1746-1340-15-12.
http://www.ncbi.nlm.nih.gov/pubmed/17822549?dopt=Abstract
Ness J, Cirillo DJ, Weir DR, Nisly NL, Wallace RB. Use of complementary medicine in older Americans: results from the Health and Retirement Study. Gerontologist. 2005;45(4):516-24. doi:10.1093/geront/45.4.516.
http://www.ncbi.nlm.nih.gov/pubmed/16051914?dopt=Abstract
Ness J, Cirillo DJ, Weir DR, Nisly NL, Wallace RB. Use of complementary medicine in older Americans: results from the Health and Retirement Study. Gerontologist. 2005;45(4):516-24. doi:10.1093/geront/45.4.516.
http://www.ncbi.nlm.nih.gov/pubmed/16051914?dopt=Abstract
Kullgren JT, Cliff EQ, Krenz C, et al. Use of Health Savings Accounts Among US Adults Enrolled in High-Deductible Health Plans. JAMA Network Open. 2020;3(7):e2011014. doi:10.1001/jamanetworkopen.2020.11014.
Bound J, Stinebrickner TR, Waidmann TA. Using a Structural Retirement Model to Simulate the Effect of Changes to the OASDI and Medicare Programs. Ann Arbor, MI: University of Michigan; 2005.
Marden JR, Mayeda ER, Walter S, et al. Using an Alzheimer Disease Polygenic Risk Score to Predict Memory Decline in Black and White Americans Over 14 Years of Follow-up. Alzheimer Dis Assoc Disord. 2016;30(3):195-202. doi:10.1097/WAD.0000000000000137.
http://www.ncbi.nlm.nih.gov/pubmed/26756387?dopt=Abstract
Wei Y, Heun-Johnson H, Tysinger B. Using dynamic microsimulation to project cognitive function in the elderly population. PLoS One. 2022;17(9):e0274417. doi:10.1371/journal.pone.0274417.
Jain S, Rosenbaum PR, Reiter JG, et al. Using Medicare claims in identifying Alzheimer's disease and related dementias. Alzheimer's & Dementia. Forthcoming. doi:10.1002/alz.12199.
DeLiema M. Using mixed methods to identify the characteristics of older fraud victims. 2015;3704229:132.
Chao Y-S, Wu C-J, Wu H-C, et al. Using syndrome mining with the Health and Retirement Study to identify the deadliest and least deadly frailty syndromes. Scientific Reports. 2020;10. doi:10.1038/s41598-020-60869-8.
Chao Y-S, Wu C-J, Wu H-C, et al. Using syndrome mining with the Health and Retirement Study to identify the deadliest and least deadly frailty syndromes. Scientific Reports. 2020;10. doi:10.1038/s41598-020-60869-8.
Poterba JM, Rauh J, Venti SF, Wise DA. Utility Evaluation of Risk in Retirement Saving Accounts. In: Wise DA, ed. Analyses in the Economics of Aging. Analyses in the Economics of Aging. Chicago: University of Chicago Press; 2005. doi:10.3386/w9892.
Poterba JM, Rauh J, Venti SF, Wise DA. Utility Evaluation of Risk in Retirement Saving Accounts. In: Wise DA, ed. Analyses in the Economics of Aging. Analyses in the Economics of Aging. Chicago: University of Chicago Press; 2005. doi:10.3386/w9892.