Mary E Northridge1, Chenchen Yu, Bibhas Chakraborty, Ariel Port Greenblatt, Janet Mark, Cynthia Golembeski, Bin Cheng, Carol Kunzel, Sara S Metcalf, Stephen E Marshall, Ira B Lamster. 1. At the time this article was written, Mary E. Northridge, Ariel Port Greenblatt, Janet Mark, and Cynthia Golembeski were with the New York University College of Dentistry, New York, NY. Chenchen Yu, Bibhas Chakraborty, Bin Cheng, and Ira B. Lamster were with the Mailman School of Public Health, Columbia University, New York. Carol Kunzel and Stephen E. Marshall were with the College of Dental Medicine, Columbia University. Sara S. Metcalf was with the University at Buffalo, The State University of New York, Buffalo.
Abstract
OBJECTIVES: We explored the interrelationships among diabetes, hypertension, and missing teeth among underserved racial/ethnic minority elders. METHODS: Self-reported sociodemographic characteristics and information about health and health care were provided by community-dwelling ElderSmile participants, aged 50 years and older, who took part in community-based oral health education and completed a screening questionnaire at senior centers in Manhattan, New York, from 2010 to 2012. RESULTS: Multivariable models (both binary and ordinal logistic regression) were consistent, in that both older age and Medicaid coverage were important covariates when self-reported diabetes and self-reported hypertension were included, along with an interaction term between self-reported diabetes and self-reported hypertension. CONCLUSIONS: An oral public health approach conceptualized as the intersection of 3 domains-dentistry, medicine, and public health-might prove useful in place-based assessment and delivery of services to underserved older adults. Further, an ordinal logit model that considers levels of missing teeth might allow for more informative and interpretable results than a binary logit model.
OBJECTIVES: We explored the interrelationships among diabetes, hypertension, and missing teeth among underserved racial/ethnic minority elders. METHODS: Self-reported sociodemographic characteristics and information about health and health care were provided by community-dwelling ElderSmile participants, aged 50 years and older, who took part in community-based oral health education and completed a screening questionnaire at senior centers in Manhattan, New York, from 2010 to 2012. RESULTS: Multivariable models (both binary and ordinal logistic regression) were consistent, in that both older age and Medicaid coverage were important covariates when self-reported diabetes and self-reported hypertension were included, along with an interaction term between self-reported diabetes and self-reported hypertension. CONCLUSIONS: An oral public health approach conceptualized as the intersection of 3 domains-dentistry, medicine, and public health-might prove useful in place-based assessment and delivery of services to underserved older adults. Further, an ordinal logit model that considers levels of missing teeth might allow for more informative and interpretable results than a binary logit model.
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