ArticleInternational journal of environmental research and public health2021
Demographic and Habitual Factors of Periodontal Disease among South Indian Adults.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 20 citations in OpenAlex.
- Association Between the Oral Health Status and Sociodemographic Factors Among 5-15-Year-Old Schoolchildren from Mallorca, Spain-A Cross-Sectional Study.Children (Basel, Switzerland) · 2025Article
- Development of a Machine Learning Tool for Home-Based Assessment of Periodontitis.medRxiv : the preprint server for health sciences · 2025Article
- ORAL HEALTH STATUS IN PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE.Acta clinica Croatica · 2024Article
- Periodontitis in ischemic stroke: impact ofResearch and practice in thrombosis and haemostasis · 2024Article
- Development and Validation of Oral Health Knowledge, Attitude and Behavior Questionnaire among Indian Adults.Medicina (Kaunas, Lithuania) · 2022Article
- Epidemiological Factors of Periodontal Disease Among South Indian Adults.Journal of multidisciplinary healthcare · 2022Article
- Perspectives on Social and Environmental Determinants of Oral Health.International journal of environmental research and public health · 2021Review
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to evaluate the performance of a set of sociodemographic and habits measures on estimating periodontal disease among south Indian adults. This cross-sectional study was carried out among 288 individuals above 18 years old in Tamil Nadu, India. The outcome of the study was periodontal disease, measured by WHO criteria. The covariates were age, ethnicity, smoking and alcohol habit. The assessment of factors predicting periodontal disease was carried out by multiple logistic regression analysis using R version 3.6.1. The demographic factors like age group (AOR = 3.56; 95% CI 1.69-7.85), ethnicity (AOR = 6.07; 95% CI 2.27-18.37), non-alcoholic (AOR = 0.31; 95% CI 0.13-0.64) and non-smoking (AOR = 0.33; 95% CI 0.15-0.67) were found to be associated with the outcome. The maximum log likelihood estimate value was -30.5 and AIC was 385 for the final model, respectively. Receiver operating characteristic (ROC) curve for the periodontal disease was 0.737. We can conclude that sociodemographic factors and habits were useful for predicting periodontal diseases.
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