HRS Bibliography

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Leggett AN, Pepin R, Sonnega A, Assari S. Predictors of New Onset Sleep Medication and Treatment Utilization Among Older Adults in the United States. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 2016;71(7):954-960. doi:10.1093/gerona/glv227.
Lei L, Levy H, Ankuda C, et al. Partner Plan Choices and Medicare Advantage Enrollment Decisions Among Older Adults. JAMA. Forthcoming. doi:10.1001/jama.2024.1773.
http://www.ncbi.nlm.nih.gov/pubmed/38506841?dopt=Abstract
Leshner AI, Landis S, Stroud C, Downey A, eds. Preventing Cognitive Decline and Dementia: A Way Forward. Washington, D.C.: National Academies Press; 2017. doi:10.17226/24782.
Levine ME, Harrati A, Crimmins EM. Predictors and implications of accelerated cognitive aging. Biodemography and Social Biology. 2018;64(2):83-101. doi:10.1080/19485565.2018.1552513.
Levine ME, Crimmins EM, Prescott CA, Phillips DF, Arpawong TE, Lee J. A polygenic risk score associated with measures of depressive symptoms among older adults. Biodemography Soc Biol. 2014;60(2):199-211. doi:10.1080/19485565.2014.952705.
http://www.ncbi.nlm.nih.gov/pubmed/25343367?dopt=Abstract
Levy BR, Slade MD. Positive views of aging reduce risk of developing later-life obesity. Preventative Medicine Reports. 2019;13:196-198. doi:10.1016/j.pmedr.2018.12.012.
http://www.ncbi.nlm.nih.gov/pubmed/30705805?dopt=Abstract
Levy BR, Slade MD, Pietrzak RH, Ferrucci L. Positive Age Beliefs Lead to Lower Dementia Risk Even Among Older Persons With High-Risk Gene. Innovation in Aging. 2020;4(Suppl 1):597. doi:10.1093/geroni/igaa057.2009.
Levy BR, Slade MD, Pietrzak RH, Ferrucci L. Positive age beliefs protect against dementia even among elders with high-risk gene. Ginsberg SD, ed. PLOS ONE. 2018;13(2):e0191004. doi:https://doi.org/10.1371/journal.pone.0191004.
Li Y. Private Long-term Care Insurance and Patterns of Care Use among Older Adults. 2007.
Li M, Luo Y. Physical Disability, Psychological Resilience and COVID-related Changes in Depressive Symptoms among U.S. Older Adults. J Gerontol B Psychol Sci Soc Sci. 2023. doi:10.1093/geronb/gbad025.
Li Y, Guo G. Period of Marriage and Genetic Similarity in Height between Spouses in the United States over the 20th Century. Human Biology. 2021;92(4):215-228. doi:10.13110/humanbiology.92.4.02.
Li Y, Burr JA, Miller EAlan. Pension Plan Types and Financial Literacy in Later Life. Gerontologist. 2019;59(2):260-270. doi:10.1093/geront/gnx135.
http://www.ncbi.nlm.nih.gov/pubmed/28958076?dopt=Abstract
Lichtenberg PA, Stickney L, Paulson D. Is Psychological Vulnerability Related to the Experience of Fraud in Older Adults?. Clinical Gerontologist. 2013;36(2):132-146. doi:10.1080/07317115.2012.749323.
Lichtenberg PA, Sugarman MA, Paulson D, Ficker LJ, Rahman-Filipiak A. Psychological and Functional Vulnerability Predicts Fraud Cases in Older Adults: Results of a Longitudinal Study. CLINICAL GERONTOLOGIST. 2016;39(1):48.
Liebers DT, Pirooznia M, Seiffudin F, Musliner KL, Zandi PP, Goes FS. Polygenic Risk of Schizophrenia and Cognition in a Population-Based Survey of Older Adults. Schizophrenia Bulletin. 2016;42(4):984-991. doi:10.1093/schbul/sbw001.
Lima RA, Condominas E, Sanchez-Niubo A, et al. Physical Activity Participation Decreases the Risk of Depression in Older Adults: The ATHLOS Population-Based Cohort Study. Sports Medicine Open. 2024;10(1):1. doi:10.1186/s40798-023-00664-7.
Liu H, Lin Z, Umberson D. Parental Death and Cognitive Impairment: An Examination by Gender and Race-ethnicity. The Journals of Gerontology, Series B. 2022;76(6):1164-1176. doi:10.1093/geronb/gbab125.
Lockery SA, E. Stanford P. Physical activity and smoking: gender comparisons among older African American adults. J Health Care Poor Underserved. 1996;7(3):232-51. doi:10.1353/hpu.2010.0617.
http://www.ncbi.nlm.nih.gov/pubmed/8768467?dopt=Abstract
Loh C-PA. Physical Inactivity and Working Hour Inflexibility: Evidence from a U.S. Sample of Older Men. Review of Economics of the Household. 2009;7(3):257-281. doi:DOI: 10.1007/s11150-009-9055-8.
Loh C-PA. Physical activity and employment decisions under working hours inflexibility. 2004.
Longino CF, Bradley DE, Stoller EP, Haas WH. Predictors of non-local moves among older adults: a prospective study. J Gerontol B Psychol Sci Soc Sci. 2008;63(1):S7-14. doi:10.1093/geronb/63.1.s7.
http://www.ncbi.nlm.nih.gov/pubmed/18332203?dopt=Abstract
Lou Y, Edmonds SW, Jones MP, et al. Predictors of bone mineral density testing among older women on Medicare. Osteoporos Int. 2016;27(12):3577-3586. doi:10.1007/s00198-016-3688-2.
http://www.ncbi.nlm.nih.gov/pubmed/27358177?dopt=Abstract
Ludwig A, Zimper A. A Parsimonious Choquet Model of Subjective Life Expectancy. Boston: Center for Retirement Research at Boston College; 2008.
Ludwig A, Zimper A. A parsimonious model of subjective life expectancy. Theory and Decision. 2013;75(4):519-541. doi:10.1007/s11238-013-9355-6.
Lund B. Predictors of use of digital technology for communication among older adults: analysis of data from the health and retirement study. Working with Older People. 2021;25(4):294-303. doi:10.1108/WWOP-01-2021-0002.