HRS Bibliography

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Quach L, Gagnon D, Kaiser A, Nguyen U. FALLS AMONG OLDER AMERICAN MEN: THE ROLE OF PAIN AND MILITARY EXPERIENCES IN THE HEALTH AND RETIREMENT STUDY. Innovation in Aging. 2018;2(Suppl 1):150 - 151. doi:10.1093/geroni/igy023.545.
Sekaran NK, Choi H, Hayward RA, Langa KM. Fall-associated difficulty with activities of daily living in functionally independent individuals aged 65 to 69 in the United States: a cohort study. J Am Geriatr Soc. 2013;61(1):96-100. doi:10.1111/jgs.12071.
http://www.ncbi.nlm.nih.gov/pubmed/23311555?dopt=Abstract
Steinman BA, Pynoos J, Nguyen AQD. Fall risk in older adults: roles of self-rated vision, home modifications, and limb function. Journal of Aging and Health. 2009;21(5):655-676. doi:10.1177/0898264309338295.
Fall Risk Factors in Older Americans. 2003.
Haines L, Rahman O-K, Sanders JJ, Johnson KJ, Kelley AS. Factors that impact family perception of goal-concordant care at the end of life. Journal of Palliative Medicine. 2019. doi:10.1089/jpm.2018.0508.
http://www.ncbi.nlm.nih.gov/pubmed/30758243?dopt=Abstract
Ray-Mazumder S. Factors Predicting the Perception of Positive Aging In the Presence of Chronic Stress. 2013;3552550:134.
Chiu C-J, Wray LA. Factors predicting glycemic control in middle-aged and older adults with type 2 diabetes. Prev Chronic Dis. 2010;7(1):A08.
http://www.ncbi.nlm.nih.gov/pubmed/20040223?dopt=Abstract
Tschirhart EC, Du Q, Kelley AS. Factors influencing the use of intensive procedures at the end of life. J Am Geriatr Soc. 2014;62(11):2088-94. doi:10.1111/jgs.13104.
http://www.ncbi.nlm.nih.gov/pubmed/25376084?dopt=Abstract
Self S, Basuroy S. Factors influencing healthcare choices by the elderly in India: role of social interactions. International Journal of Social Economics. 2017;44(9):1231-1251. doi:10.1108/IJSE-12-2015-0340.
Zivin K, Ratliff SM, Heisler MM, Langa KM, Piette JD. Factors influencing cost-related nonadherence to medication in older adults: a conceptually based approach. Value Health. 2010;13(4):338-45. doi:10.1111/j.1524-4733.2009.00679.x.
http://www.ncbi.nlm.nih.gov/pubmed/20070641?dopt=Abstract
Cheon J. Factors associated with the decision to withhold life-sustaining treatments among middle-aged and older adults who die in hospital. Korean Journal of Adult Nursing. 2018;30(5):527. doi:10.7475/kjan.2018.30.5.527.
Williams LL. Factors Associated with Sleep Disruption among Community-Dwelling Older Adults in the Health and Retirement Study. 2009.
Holve E. Factors associated with purchase of long-term care insurance. 2008;Doctor of Philosophy.
Cai Q, J. Salmon W, Rodgers ME. Factors associated with long-stay nursing home admissions among the U.S. elderly population: comparison of logistic regression and the Cox proportional hazards model with policy implications for social work. Social Work in Health Care. 2009;48(2):154-168. doi:10.1080/00981380802580588.
Choi M, Mezuk B. FACTORS ASSOCIATED WITH LIFE-SPACE CONSTRICTION IN LATER LIFE: EVIDENCE FROM THE HEALTH AND RETIREMENT STUDY. Innovation in Aging. 2019;3(Suppl 1):S520 - S520.
Chu L, Chen L. Factors associated with healthy ageing: a comparative study between China and the United States. China Population and Development Studies. 2021. doi:https://doi.org/10.1007/s42379-020-00071-5.
Singer AE, Meeker D, Teno JM, Lynn J, Lunney JR, Lorenz KA. Factors Associated with Family Reports of Pain, Dyspnea, and Depression in the Last Year of Life. J Palliat Med. 2016;19(10):1066-1073. doi:10.1089/jpm.2015.0391.
http://www.ncbi.nlm.nih.gov/pubmed/27454900?dopt=Abstract
Kotagal V, Langa KM, Plassman BL, et al. Factors associated with cognitive evaluations in the United States. Neurology. 2015;84(1):64-71. doi:10.1212/WNL.0000000000001096.
http://www.ncbi.nlm.nih.gov/pubmed/25428689?dopt=Abstract
Weintraub JA, Orleans B, Fontana MAlan, Phillips C, Jones JA. Factors associated with becoming edentulous in the US Health and Retirement Study. Journal of the American Geriatrics Society. 2019. doi:10.1111/jgs.16079.
http://www.ncbi.nlm.nih.gov/pubmed/31335967?dopt=Abstract
Ajmal A. Factors Associated with Advance Care Plans and End-of-life Care Choices Among Elderly Americans: An Analysis of Health and Retirement Study Data. Health Services and Policy Management. 2019;PhD:236.
Jones RN, Manly JJ, Langa KM, et al. Factor structure of the Harmonized Cognitive Assessment Protocol neuropsychological battery in the Health and Retirement Study. Neuropsychology. Forthcoming. doi:10.31234/osf.io/rvmhj.
Cagnone S, Viroli C. A factor mixture model for analyzing heterogeneity and cognitive structure of dementia. AStA Advances in Statistical Analysis. 2014;98(1):1.
Szinovacz ME. Fact Sheet: What Influences Plans to Work after Ages 62 and 65?. Boston, MA, University of Massachusetts Boston; 2013.
Szinovacz ME. Fact Sheet: Cohort Differences in Parents Illness and Nursing Home Use. Boston, ScholarWorks, University of Massachusetts Boston; 2014.
Szinovacz ME. Fact Sheet: Cohort Differences in Parental Survival. Boston, ScholarWorks, University of Massachusetts Boston; 2014.