R. Dumitrescu, R. Sava-Rosianu, D. Jumanca, Daniel Negru, O. Balean, Ioana Giorgiana Pașca, R. Oancea, Atena Galuscan
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引用次数: 0
摘要
(1)背景:本研究是罗马尼亚儿童口腔健康调查的一部分,旨在确定11 - 14岁学龄儿童口腔健康状况与其父母教育水平之间的相关性,同时考虑到预防行为和社会经济参数。(2)方法:对133名小学生(男生72名,女生61名)进行牙科检查,平均年龄12.26±0.6岁。在获得伦理批准后,使用ICDAS标准进行视觉检查,对视觉龋齿病变严重程度进行分类。采用SPSS 23、Spearman’s秩相关和Pearson相关对数据进行统计分析。(3)结果:样本内DMFT平均值为2.93±2.70。高中是父母完成的最普遍的教育水平。母亲受教育程度与儿童刷牙频率呈正相关(rs = 0.02 *, p < 0.01),与儿童口腔卫生辅助工具呈正相关(rs = 0.17 *, p < 0.05)。D3T指数与母亲受教育程度呈显著负相关(rs = - 0.26 **, p < 0.01),与父亲受教育程度呈显著负相关(rs = - 0.17 **, p < 0.01)。(4)结论:研究结果表明,高龋患病率可能与低教育水平和社会经济等县域变量有关,影响龋病的存在和严重程度,以及现有治疗方法的缺乏。
Investigating the Connection between Parental Education and Children’s Oral Health: An Extensive Examination in Western Romania for 11–14-Year-Olds
(1) Background: This research is part of the Romanian oral health survey for children, aiming to determine correlations between the oral health status of 11–14-year-old schoolchildren and their parents’ educational levels, taking into account preventive behaviour and socioeconomic parameters. (2) Methods: a representative sample of 133 schoolchildren (72 boys and 61 girls), average age 12.26 ± 0.6 years, was examined by calibrated dentists. After obtaining ethical approval, a visual examination using ICDAS criteria was performed to classify visual caries lesion severity. Statistical analyses of the data were performed using SPSS 23, Spearman’s rank correlation and the Pearson correlation. (3) Results: Mean DMFT within the sample was 2.93 ± 2.70. High school was the most common level of education completed by the parents. A positive relationship was recorded between the mother’s level of education and the frequency of toothbrushing in children (rs = 0.02 *, p < 0.01), as well as with oral hygiene aids (rs = 0.17 *, p < 0.05). A negative significant correlation resulted between D3T index and the mother’s level of education (rs = −0.26 **, p < 0.01), as well as with the father’s education (rs = −0.17 **, p < 0.01). (4) Conclusions: The results of this study show that high caries prevalence could be associated with low educational level and socio-economic county-level variables, having an impact on the presence and severity of such lesions, as well as the absence of existing treatments.