HRS Bibliography

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B

M. Islam A, Chowdhury RI, Briollais L. A bivariate binary model for testing dependence in outcomes. Bulletin of the Malaysian Mathematical Sciences Society. 2012;35(4):845-858.PDF icon BMMS_bernoulliv35n4p2.pdf (144.95 KB)
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.
Kim JKi, Crimmins EM. Blood Pressure and Mortality: Joint Effect of Blood Pressure Measures. Journal of Clinical Cardiology and Cardiovascular Therapy. 2020;2(1.1009). doi:https://doi.org/10.31546/2633-7916.1009.
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
Chen X, Jiang S, Yao Y. BMI, waist circumferences and urinary incontinence in older women compared with older men: findings from three prospective longitudinal cohort studies.; 2023. doi:https://doi.org/10.21203/rs.3.rs-2441866/v1.
Crane BM, Nichols E, Carlson MC, Deal JA, Gross AL. Body mass index and cognition: Associations across mid- to late-life and gender differences. J Gerontol A Biol Sci Med Sci. 2023. doi:10.1093/gerona/glad015.
Crane BM, Nichols E, Carlson MC, Deal JA, Gross AL. Body mass index and cognition: Associations across mid- to late-life and gender differences. J Gerontol A Biol Sci Med Sci. 2023. doi:10.1093/gerona/glad015.
Damush TM, Stump TE, Clark DO. Body-mass index and 4-year change in health-related quality of life. J Aging Health. 2002;14(2):195-210. doi:10.1177/089826430201400202.
http://www.ncbi.nlm.nih.gov/pubmed/11995740?dopt=Abstract
Liu T, Li H, Conley YP, Primack BA, Wang J, Li C. The Brain-Derived Neurotrophic Factor Functional Polymorphism and Hand Grip Strength Impact the Association between Brain-Derived Neurotrophic Factor Levels and Cognition in Older Adults in the United States. Biological Research for Nursing. 2022;24(2):226-234. doi:10.1177/10998004211065151.
Schoenborn NL, Cidav T, Boyd CM, Pollack CE, Sekhon VKaur, Yasar S. Breast and prostate cancer screening rates by cognitive status in US older adults. J Am Geriatr Soc. 2023;71(5):1558-1565. doi:10.1111/jgs.18222.
Cho J. Bridge Employment and Health. Epidemiological Science. 2016;Ph.D.
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.
Giandrea MD, Cahill KE, Quinn JF. Bridge Jobs: A Comparison Across Cohorts. Research on Aging. 2009;31(5):549-76.
Paula TCristine S, Chagas C, Noto ARegina, Formigoni MLucia Oliv, Pereira TVeiga, Ferri CPinheiro. Brief interventions for older adults (BIO) delivered by non-specialist community health workers to reduce at-risk drinking in primary care: a study protocol for a randomised controlled trial. BMJ Open. 2021;11(5):e043918. doi:10.1136/bmjopen-2020-043918.
Carr DC, Jason K, Taylor M, Washington TR. A Brief Report on Older Working Caregivers: Developing a Typology of Work Environments. The Journal of Gerontology, Series B. 2022;77(7):1263-1268. doi:10.1093/geronb/gbab131.
Coile C, Levine PB. Bulls, Bears and Retirement Behavior. Cambridge, MA: The National Bureau of Economic Research; 2004. doi:10.3386/w10779.
Abbas M, Reich AJane, Wang Y, et al. The burden of pre-admission pain, depression, and caregiving on palliative care needs for seriously ill trauma patients. J Am Geriatr Soc. 2023. doi:10.1111/jgs.18289.

C

Vable AM, Canning D, M. Glymour M, Kawachi I, Jimenez MP, Subramanian SV. Can social policy influence socioeconomic disparities? Korean War GI Bill eligibility and markers of depression. Ann Epidemiol. 2016;26(2):129-135.e3. doi:10.1016/j.annepidem.2015.12.003.
http://www.ncbi.nlm.nih.gov/pubmed/26778285?dopt=Abstract
Wu Q, Crimmins EM, Ailshire JA, Kim JKi, Zhao E. Cardiometabolic Risk and Biomarker Trajectories Among Older Adults: Findings From the Health and Retirement Study. Innovation in Aging. 2020;4(Supplement_1):429 . doi:https://doi.org/10.1093/geroni/igaa057.1386.
Wu Q, Ailshire JA, Kim JKi, Crimmins EM. Cardiometabolic Risk Trajectory among Older Americans: Findings from the Health and Retirement Study. The Journals of Gerontology, Series A. 2021;76(12):2265-2274. doi:10.1093/gerona/glab205.
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.
Ribero VAponte, Alwan H, Efthimiou O, et al. Cardiovascular disease and type 2 diabetes in older adults: a combined protocol for an individual participant data analysis for risk prediction and a network meta-analysis of novel anti-diabetic drugs. medRxiv. 2023. doi:10.1101/2023.03.13.23287105.
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.