HRS Bibliography

Bibliography Search
Export 2359 results:
Filters: First Letter Of Last Name is L  [Clear All Filters]

B

Mehta KM, Stewart AL, Langa KM, et al. "Below average" self-assessed school performance and Alzheimer's disease in the Aging, Demographics, and Memory Study. Alzheimers Dement. 2009;5(5):380-7. doi:10.1016/j.jalz.2009.07.039.
http://www.ncbi.nlm.nih.gov/pubmed/19751917?dopt=Abstract
Levine PB, Mitchell OS, Phillips JWR. A Benefit of One's Own: Older Women's Entitlement to Social Security Retirement. Social Security Bulletin. 2000;63(3):47-53.
Guyer HM, Ofstedal MBeth, Lessof C, Cox K. The Benefits and Challenges of Collecting Physical Measures and Biomarkers in Cross-National Studies. Ann Arbor, Michigan: Survey Research Center, Institute for Social Research, University of Michigan; 2017.PDF icon Download PDF (166.91 KB)
Liu Y, Zai X. The Benefits of Medicaid Home and Community-Based Services on Health. Kiel, Hamburg: ZBW - Leibniz Information Centre for Economics; 2022.
Lee S, Tan KTK. Bequest Motives and the Social Security Notch. Human Capital and Economic Opportunity Global Working Group; 2019.
Chatterji P, Joo H, Lahiri KC. Beware of being unaware: racial/ethnic disparities in chronic illness in the USA. Health Econ. 2012;21(9):1040-60. doi:10.1002/hec.2856.
http://www.ncbi.nlm.nih.gov/pubmed/22764038?dopt=Abstract
Kerr EA, Heisler MM, Krein SL, et al. Beyond comorbidity counts: how do comorbidity type and severity influence diabetes patients' treatment priorities and self-management?. J Gen Intern Med. 2007;22(12):1635-40. doi:10.1007/s11606-007-0313-2.
http://www.ncbi.nlm.nih.gov/pubmed/17647065?dopt=Abstract
Guo Y, Pai M, Xue B, Lu W. Bidirectional association between depressive symptoms and mild cognitive impairment over 20 years: Evidence from the health and retirement study in the United States. J Affect Disord. 2023. doi:10.1016/j.jad.2023.06.046.
Lee G, Arieli R, Ryou YJi, Martin P. The bidirectional relationship between depressive symptoms and functional limitations among centenarian survivors in their 80s: Testing bivariate latent change score models. Aging Ment Health. 2023:1-9. doi:10.1080/13607863.2023.2177830.
Sakib N, Sun X, Kong N, Meng H, Li M. Bi-level heterogeneity modeling of functional performance degradation for the aging population. IISE Transactions on Healthcare Systems Engineering. 2017;7(3):156-167. doi:10.1080/24725579.2017.1339147.
Lorenz R, Auerbach S, Chang Y-P. Binge Drinking, Depressive Symptoms, and Sleep Health in Middle-Aged and Older Adults. Innovation in Aging. 2020;4:425-425. doi:10.1093/geroni/igaa057.1373.
Dugan E, Lee CMan. Biopsychosocial Risk Factors for Driving Cessation: Findings From the Health and Retirement Study. Journal of Aging and Health. 2013. doi:10.1177/0898264313503493.
Lincoln KD, Nguyen AW. Biopsychosocial Risk Profiles among African American and Non-Hispanic White Adults: Findings from The Health and Retirement Study. The Journals of Gerontology: Series A. 2022;77(2):e82-e88. doi:10.1093/gerona/glab003.
Lasek A. Black adults less likely to receive a diagnosis of dementia, study finds.
Shin EHyei. Black-White differences in wealth accumulation among Americans nearing retirement. Family, Consumer and Human Development. 2010;M.S.:117.
Moody-Ayers SY, Mehta KM, Lindquist K, Sands L, Covinsky KE. Black-White Disparities in Functional Decline in Older Persons: The role of cognitive function. The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences. 2005;60(6):933-939.
Cho B-Y, Seo D-C, Lin H-C, Lohrmann DK, Chomistek AK. BMI and Central Obesity With Falls Among Community-Dwelling Older Adults. American Journal of Preventive Medicine. 2018;54(4):e59-e66. doi:10.1016/j.amepre.2017.12.020.
Cho B-Y, Seo D-C, Lin H-C, Lohrmann DK, Chomistek AK. BMI and Central Obesity With Falls Among Community-Dwelling Older Adults. American Journal of Preventive Medicine. 2018;54(4):e59-e66. doi:10.1016/j.amepre.2017.12.020.
Chiu C-J, Wray LA, Lu F-hwa, Beverly EA. BMI change patterns and disability development of middle-aged adults with diabetes: a dual trajectory modeling approach. J Gen Intern Med. 2013;28(9):1150-6. doi:10.1007/s11606-013-2399-z.
http://www.ncbi.nlm.nih.gov/pubmed/23463456?dopt=Abstract
Luo Y, Liu Z, Luo J, et al. BMI trajectories in late middle age, genetic risk, and the incident diabetes in older adults: evidence from a 26-year longitudinal study. Am J Epidemiol. 2023. doi:10.1093/aje/kwad080.
Luo Y, Liu Z, Luo J, et al. BMI trajectories in late middle age, genetic risk, and the incident diabetes in older adults: evidence from a 26-year longitudinal study. Am J Epidemiol. 2023. doi:10.1093/aje/kwad080.
Luo Y, Liu Z, Luo J, et al. BMI trajectories in late middle age, genetic risk, and the incident diabetes in older adults: evidence from a 26-year longitudinal study. Am J Epidemiol. 2023. doi:10.1093/aje/kwad080.
Luo Y, Liu Z, Luo J, et al. BMI trajectories in late middle age, genetic risk, and the incident diabetes in older adults: evidence from a 26-year longitudinal study. Am J Epidemiol. 2023. doi:10.1093/aje/kwad080.
Luo Y, Liu Z, Luo J, et al. BMI trajectories in late middle age, genetic risk, and the incident diabetes in older adults: evidence from a 26-year longitudinal study. Am J Epidemiol. 2023. doi:10.1093/aje/kwad080.
Seiter GM, Lopez MJ, Slavov SNataraj. Boomerang Children and Parental Retirement Outcomes. NBER; 2023. doi:10.3386/w30863.