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Inequalities in Periodontal Disease According to Insurance Schemes in Thailand

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  • Jarassri Srinarupat

    (Department of Oral Health Promotion, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan
    Bureau of Dental Health, Department of Health, Ministry of Public Health, Nonthaburi 11000, Thailand)

  • Akiko Oshiro

    (Department of Oral Health Promotion, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan)

  • Takashi Zaitsu

    (Department of Oral Health Promotion, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan)

  • Piyada Prasertsom

    (Bureau of Dental Health, Department of Health, Ministry of Public Health, Nonthaburi 11000, Thailand)

  • Kornkamol Niyomsilp

    (Bureau of Dental Health, Department of Health, Ministry of Public Health, Nonthaburi 11000, Thailand)

  • Yoko Kawaguchi

    (Department of Oral Health Promotion, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan)

  • Jun Aida

    (Department of Oral Health Promotion, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan
    Division for Regional Community Development, Liaison Center for Innovative Dentistry, Graduate School of Dentistry, Tohoku University, Miyagi 980-8575, Japan)

Abstract

Few studies have considered the effects of insurance on periodontal disease. We aimed to investigate the association between insurance schemes and periodontal disease among adults, using Thailand’s National Oral Health Survey (2017) data. A modified Community Periodontal Index was used to measure periodontal disease. Insurance schemes were categorized into the Universal Coverage Scheme (UCS), Civil Servant Medical Benefit Scheme (CSMBS), Social Security Scheme (SSS), and “others”. Poisson regression was applied to estimate the prevalence ratios (PRs) of insurance schemes for periodontal disease, with adjustment for age, gender, residential location, education attainment, and income. The data of 4534 participants (mean age, 39.6 ± 2.9 years; 2194 men, 2340 women) were analyzed. The proportions of participants with gingivitis or periodontitis were 87.6% and 25.9%, respectively. In covariate adjusted models, lowest education (PRs, 1.03; 95% CI, 1.01–1.06) and UCS (PRs, 1.05; 95% CI, 1.02–1.08) yielded significantly higher PRs for gingivitis, whereas lowest education (PRs, 1.20; 95% CI, 1.05–1.37) and UCS (PRs, 1.17; 95% CI, 1.02–1.34) yielded substantially higher PRs for periodontitis. Insurance schemes may be social predictors of periodontal disease. For better oral health, reduced insurance inequalities are required to increase access to regular dental visits and utilization in Thailand.

Suggested Citation

  • Jarassri Srinarupat & Akiko Oshiro & Takashi Zaitsu & Piyada Prasertsom & Kornkamol Niyomsilp & Yoko Kawaguchi & Jun Aida, 2021. "Inequalities in Periodontal Disease According to Insurance Schemes in Thailand," IJERPH, MDPI, vol. 18(11), pages 1-11, June.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:11:p:5945-:d:567203
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    References listed on IDEAS

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    1. Adrien Boillot & Bechara El Halabi & George David Batty & Hélène Rangé & Sébastien Czernichow & Philippe Bouchard, 2011. "Education as a Predictor of Chronic Periodontitis: A Systematic Review with Meta-Analysis Population-Based Studies," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-9, July.
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    Cited by:

    1. Niruwan Turnbull & Pichayasuda Cherdsakul & Sutin Chanaboon & David Hughes & Kukiat Tudpor, 2022. "Tooth Loss, Cognitive Impairment and Fall Risk: A Cross-Sectional Study of Older Adults in Rural Thailand," IJERPH, MDPI, vol. 19(23), pages 1-9, November.

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