HRS Bibliography

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B

Voss MW, S. Snih A, Li W, Hung M, Richards LG, Wang M. Boundaries of the Construct of Unemployment in the Preretirement Years: Exploring an Expanded Measurement of Lost-Work Opportunity. Work, Aging and Retirement. 2020;6(1):59-63. doi:10.1093/workar/waz006.
Cahill KE, Giandrea MD, Quinn JF. Is Bridge Job Activity Overstated?. Henkens K, ed. Work, Aging and Retirement. 2018;4(4):330-351. doi:10.1093/workar/way006.
Brown RT, Komaiko KD, Shi Y, et al. Bringing functional status into a big data world: Validation of national Veterans Affairs functional status data. Hernandez-Boussard T, ed. PLoS One. 2017;12(6):e0178726. doi:10.1371/journal.pone.0178726 Free full text.
Healy M. British government targets a modern public health scourge: Loneliness. The Los Angeles Times. http://www.latimes.com/science/sciencenow/la-sci-sn-minister-of-loneliness-20180118-story.html. Published 2018.
Weston SJ, Lewis NA, Hill PL. Building sense of purpose in older adulthood: Examining the role of supportive relationships. The Journal of Positive Psychology. 2020.
McGrath RP, Snih SAl, Markides KS, Hackney KJ, Bailey R, Peterson MD. The burden of functional disabilities for middle-aged and older adults in the United States. The Journal of Nutrition, Health & Aging. 2019;23(2):172-174. doi:10.1007/s12603-018-1133-2.
McGrath RP, Snih SAl, Markides KS, et al. The burden of health conditions across race and ethnicity for aging Americans: Disability-adjusted life years. Medicine . 2019;98(46):e17964. doi:10.1097/MD.0000000000017964.
McGrath RP, Snih SAl, Markides KS, Hall OT, Peterson MD. The burden of health conditions for middle-aged and older adults in the United States: Disability-adjusted life years. BMC Geriatrics. 2019;19(1):100. doi:10.1186/s12877-019-1110-6.
http://www.ncbi.nlm.nih.gov/pubmed/30961524?dopt=Abstract

C

Stephens, Jr. M, Haider S. Can Unexpected Retirement Explain the Retirement-Consumption Puzzle? Evidence from Subjective Retirement Expectations. Boston: Center for Retirement Research at Boston College; 2003.
Oi K, Haas SA. Cardiometabolic Risk and Cognitive Decline: The Role of Socioeconomic Status in Childhood and Adulthood. J Health Soc Behav. 2019;60(3):326-343. doi:10.1177/0022146519867924.
http://www.ncbi.nlm.nih.gov/pubmed/31526019?dopt=Abstract
PDF icon 0022146519867924.pdf (318.72 KB)
Covello A, Horwitz L, Singhal S, Blaum CS, Dodson JA. Cardiovascular Disease and Cumulative Incidence of Cognitive Impairment: Longitudinal Findings from The Health and Retirement Study. Conference of American-College-of-Cardiology (ACC) / World Congress of Cardiology (WCC). 2020;75:726.
Szymonifka J, Conderino S, Cigolle CT, et al. Cardiovascular disease risk prediction for people with type 2 diabetes in a population-based cohort and in electronic health record data. Jamia Open. 2020. doi:https://doi.org/10.1093/jamiaopen/ooaa059.
Turvey CL, Schultz SK, Arndt S, Ellingrod V, Wallace RB, Herzog AR. Caregiver report of hallucinations and paranoid delusions in elders aged 70 or older. Int Psychogeriatr. 2001;13(2):241-9. doi:10.1017/s1041610201007621.
http://www.ncbi.nlm.nih.gov/pubmed/11495398?dopt=Abstract
Huang F, Zhang M, Wang S. Changes in cognitive function among older adults: A latent profile transition analysis. Archives of Gerontology and Geriatrics. 2019;80:12-19. doi:10.1016/j.archger.2018.09.006.
Hurd MD, Rohwedder S. Changes in Consumption and Activities in Retirement. The University of Michigan, Michigan Retirement Research Center; 2005.
Fonda SJ, Wallace RB, Herzog AR. Changes in driving patterns and worsening depressive symptoms among older adults. J Gerontol B Psychol Sci Soc Sci. 2001;56(6):S343-51. doi:10.1093/geronb/56.6.s343.
http://www.ncbi.nlm.nih.gov/pubmed/11682595?dopt=Abstract
Lothary A, Hess TM. CHANGES IN PERSONAL RESOURCES AND SUBJECTIVE AGE ACROSS 8 YEARS. Innovation in Aging. 2019;3(Suppl 1):S454 - S454.
Chen Y, Hahn P, Sloan FA. Changes in Visual Function in the Elderly Population in the United States: 1995-2010. Ophthalmic Epidemiol. 2016;23(3):137-44. doi:10.3109/09286586.2015.1057603.
http://www.ncbi.nlm.nih.gov/pubmed/27142717?dopt=Abstract
He X, Baker DW. Changes in weight among a nationally representative cohort of adults aged 51 to 61, 1992 to 2000. Am J Prev Med. 2004;27(1):8-15. doi:10.1016/j.amepre.2004.03.016.
http://www.ncbi.nlm.nih.gov/pubmed/15212769?dopt=Abstract
He X, Meng H. Changes in weight among U.S. adults aged 70 and over, 1993 to 2002. Prev Med. 2008;47(5):489-93. doi:10.1016/j.ypmed.2008.06.022.
http://www.ncbi.nlm.nih.gov/pubmed/18671999?dopt=Abstract
Honig M. Changes Over Time in Subjective Retirement Probabilities. University of Michigan; 1996.
Kubicek B, Korunka C, Paškvan M, Prem R, Gerdenitsch C. Changing Working Conditions at the Onset of the Twenty-First Century: Facts from International Datasets. In: Korunka C, Hoonakker P, eds. The Impact of ICT on Quality of Working Life. The Impact of ICT on Quality of Working Life. Springer Netherlands; 2014:25-41. doi:10.1007/978-94-017-8854-0_3.
Byhoff E, Harris TB, Ayanian JZ. Characteristics of Decedents in Medicare Advantage and Traditional Medicare. JAMA Internal Medicine. 2016;176(7):1020. doi:10.1001/jamainternmed.2016.2266.
Li X, Hurd MD, Loughran D. The Characteristics of Social Security Beneficiaries Who Claim Benefits at the Early Entitlement Age. AARP Public Policy Institute; 2008.
Harrati A. Characterizing the Genetic Influences on Risk Aversion. Biodemography and Social Biology. 2014;60(2):185-198. doi:10.1080/19485565.2014.951986.