Centre for Rural Health, College of Health and Medicine, University of Tasmania, Hobart, Tasmania, Australia.
Australian Research Centre for Population Oral Health (ARCPOH), Adelaide Dental School, The University of Adelaide, Adelaide, South Australia, Australia.
J Periodontol. 2021 Apr;92(4):514-523. doi: 10.1002/JPER.20-0044. Epub 2020 Sep 29.
Obesity and periodontitis are conditions with high burden and cost. This study aims to unfold the proposed pathways through which the effect of obesity in the presence of health behaviors (dental visiting behavior and diabetes) increases the risk of periodontitis?
The effect decomposition analysis using potential outcome approach was used to determine obesity-related periodontitis risk using the Australian National Survey of Adult Oral Health 2004 to 2006. A single mediation analysis for exposure, "physical-inactivity induced obesity," mediator "dental visiting behavior (a de facto measure of healthy behaviors)," outcome "periodontitis," and confounders "age, sex, household income, level of education, self-reported diabetes, alcohol-intake and smoking," was constructed for subset of 3,715 participants, aged ≥30 years. Proposed pathways were set independently for each risk factor and in synergy. The STATA 15 Paramed library was used for analysis. Sensitivity analysis was conducted to detect unmeasured confounding using non-parametric approach.
The average treatment effect of physical inactivity induced obesity to periodontitis is 14%. Pathway effect analysis using potential outcomes illustrated that the effect of obesity on periodontitis that was not mediated through poor dental visiting behavior was 10%. Indirect effect of obesity-mediated through poor dental visiting behavior on periodontitis was 3%.
The direct effect of physical inactivity induced obesity on periodontitis was higher than the indirect effect of obesity on periodontitis through dental visiting behavior. Establishing a pathway of causal relationship for obesity and periodontitis could help in developing management strategies that focuses on mediators.
肥胖症和牙周炎是负担和成本都很高的疾病。本研究旨在阐明肥胖症在存在健康行为(看牙医行为和糖尿病)的情况下增加牙周炎风险的潜在途径。
本研究使用潜在结果方法进行效应分解分析,以利用 2004-2006 年澳大利亚成人口腔健康全国调查数据确定肥胖相关牙周炎风险。针对年龄≥30 岁的 3715 名参与者子集,构建了暴露因素“由体力活动不足引起的肥胖”、中介变量“看牙医行为(健康行为的实际衡量标准)”、结果变量“牙周炎”以及混杂因素“年龄、性别、家庭收入、教育水平、自我报告的糖尿病、饮酒和吸烟”的单一中介分析。为每个风险因素独立设置并协同设置了建议的途径。使用 STATA 15 Paramed 库进行分析。使用非参数方法进行敏感性分析以检测未测量的混杂。
体力活动不足引起的肥胖对牙周炎的平均处理效应为 14%。使用潜在结果的途径效应分析表明,肥胖对牙周炎的影响中,未通过看牙医行为不良介导的部分为 10%。通过看牙医行为不良介导的肥胖对牙周炎的间接影响为 3%。
体力活动不足引起的肥胖对牙周炎的直接影响高于肥胖通过看牙医行为对牙周炎的间接影响。确定肥胖症和牙周炎之间的因果关系途径有助于制定关注中介因素的管理策略。