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Updated: Nov 24, 2025

Oral Health Assessment by Lay Personnel for Older Adults
Published on: February 2, 2020
Oral health and related risk indicators in north-central Appalachia differ by rurality
Yuqiao Zhou1,2, Richard Cuddy3, Daniel W McNeil4,5
1Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Objectives:
This cross-sectional study assessed differences in oral health and related behaviours and risk indicators by rurality in a north-central Appalachian population using the Andersen behavioural model as a conceptual framework.
Methods:
Participants were residents aged 18-59 years (n = 1311) from the Center for Oral Health Research in Appalachia, selected according to a household-based sampling strategy. Rural-Urban Continuum codes (RUC) corresponding to the participants' residences were used to classify participants as rural or urban. Mixed models were used to test rural-urban differences in measures of oral health, related behaviours, and need, enabling, and predisposing risk indicators. Models were adjusted for sociodemographic variables: age, sex, race, income, perceived socioeconomic status, educational attainment and dental insurance.
Results:
Rural residents had poorer oral health overall, with fewer sound teeth (β = -1.79), more dental caries (β = 0.27) and higher rates of edentulism (5.2% vs 2.8%). Differences also were observed for dental care utilization and perceived barriers to care. Rural residents were less likely to attend dental visits as often as needed (26.9% vs 42.8%) and were more prone to seek care only after experiencing a dental problem (64.3% vs 43.9%). Rural residents also were more likely to report high costs (89% vs 62.6%) as a major reason for not having dental visits. Rural-urban differences for some oral health characteristics and behaviours could be explained by sociodemographic characteristics, whereas others could not.
Conclusions:
This study revealed rural-urban differences in risk indicators and oral health outcomes in north-central Appalachia. Many of these differences were explained, completely or partly, by sociodemographic factors.
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