Association between gingival parameters and Oral health-related quality of life in Caribbean adults: a population-based cross-sectional study

牙龈参数与加勒比成年人口腔健康相关生活质量之间的关联:一项基于人群的横断面研究

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Abstract

BACKGROUND: Good oral health has been associated with better quality of life and general health. In the Caribbean, there have been no studies regarding the association between oral health conditions and the quality of life of the population. The main purpose of this study was to investigate the association between gingival parameters and oral health-related quality of life (OHRQoL) in Caribbean adults. A secondary aim of the study was to gain more information on factors that impact OHRQoL in this population. METHODS: This cross-sectional, epidemiological, population-based study was conducted in community settings. After the participants with missing Oral Health Impact Profile (OHIP) data were excluded, the sample size was 1821 (weighted according to the age and gender distribution in each target population). OHIP-14 standardized questionnaires were used to collect information. In addition, a medical/oral health questionnaire including sociodemographics, general health, dental visits, oral hygiene habits and knowledge, the frequency of dental visits, prosthesis use/hygiene, and smoking was administered. A multivariate model included predictors that showed significant associations in the univariate models. Odds ratios (ORs) and 95% confidence intervals (CIs) were reported; statistical significance was set at 0.05. RESULTS: In the multivariate analysis, current smokers (OR = 2.34, 95% CI: 1.74-3.14 vs. never smokers), those who visited the dentist only when problems arose (OR = 1.65, 95% CI: 1.13-2.40 vs. those visiting once a year), and participants with any chronic disease/condition (OR = 1.38, 95% CI: 1.06-1.78) had higher odds of being in the highest tertile for OHIP score (poorer health). CONCLUSIONS: The present multicenter study identified potential modifiable risk factors for poor OHRQoL among adults in three Caribbean cities.

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