Department of Preventive Dental Science, Dr. Gerald Niznick College of Dentistry, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Dentistry Department, The Royal Children's Hospital Melbourne, Melbourne, VIC, Australia.
Int J Paediatr Dent. 2020 Sep;30(5):626-633. doi: 10.1111/ipd.12629. Epub 2020 Feb 28.
Associations between body mass index (BMI) and caries have been reported.
To evaluate the direction of the relationship between BMI and severe early childhood caries (S-ECC).
Children were recruited as part of a larger prospective cohort study assessing changes in nutritional status following dental rehabilitation under general anaesthetic. Pre-operative anthropometric measurements were used to calculate BMI z-scores (BMIz). Operative reports were reviewed to calculate caries scores based on treatment rendered. Analysis included descriptive statistics, bivariate analyses, and simple and multiple linear regression.
Overall, 150 children were recruited with a mean age of 47.7 ± 14.2 (SD) months; 52% female. Over 42% were at risk for overweight, overweight or obese. Although simple linear regression demonstrated a significant positive association between dmfs score and BMIz, adjusted multiple linear regression found no significant relationship between BMIz and dmfs, but highlighted a relationship between BMI z-score and family income, Registered First Nations Status and physical activity.
Although a significant relationship between BMI and S-ECC was not found, poverty was a key confounding variable. As both S-ECC and obesity are known predictors of future disease, it is important for healthcare professionals to identify children at risk. Diet and behaviour modification may play a role in disease prevention.
已有研究报告体重指数（BMI）与龋齿之间存在关联。
评估 BMI 与严重婴幼儿龋（S-ECC）之间的关系方向。
儿童作为评估全麻下牙科修复后营养状况变化的更大前瞻性队列研究的一部分被招募。术前人体测量值用于计算 BMI z 分数（BMIz）。回顾手术报告，根据治疗方法计算龋齿评分。分析包括描述性统计、双变量分析、简单和多元线性回归。
共有 150 名儿童被招募，平均年龄为 47.7±14.2（SD）个月；52%为女性。超过 42%的儿童超重、超重或肥胖的风险较高。尽管简单线性回归显示 dmfs 评分与 BMIz 之间存在显著正相关，但调整后的多元线性回归发现 BMIz 与 dmfs 之间无显著关系，但突出了 BMI 得分与家庭收入、注册第一民族身份和身体活动之间的关系。
尽管未发现 BMI 与 S-ECC 之间存在显著关系，但贫困是一个关键的混杂变量。由于 S-ECC 和肥胖都是未来疾病的已知预测因素，因此医疗保健专业人员识别处于危险中的儿童非常重要。饮食和行为改变可能在疾病预防中发挥作用。
