斯里兰卡农村一组儿童未经治疗的龋齿负担的社会经济和健康决定因素

Klm Kumari, I. Perera, C. Perera
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摘要

简介/背景:龋齿是一系列生物、社会和环境因素复杂相互作用的结果。由于牙病是治疗费用第四大的疾病,除非提供免费的口腔保健服务,否则穷人可能没有经济保障来治疗其子女的龋齿。低社会经济地位被归类为龋齿的一个危险因素,同样重要的是与生活方式有关的因素,如精制糖摄入量高和口腔卫生不良。方法:进行描述性横断面研究,探讨未经治疗的龋齿患病率和严重程度与选定的社会经济和卫生服务因素之间的关系。采用多阶段整群抽样方法,对韦拉瓦亚卫生部地区公立学校的479名一年级学生进行了抽样调查。采用自填问卷收集社会人口统计资料。用dmft指数记录龋病,用pufa指数记录未治疗龋病的严重程度。数据分析使用SPSS version 20。采用卡方检验评价未治疗龋的患病率和严重程度与社会经济和卫生服务因素的关系。结果:不同父亲文化程度(p= 0.027)和家庭收入水平(p= 0.018)的儿童未治龋患病率差异有统计学意义;不同父亲职业水平(p=0.001)和家庭收入水平(p= 0.013)的儿童未治龋严重程度差异有统计学意义。结论:未经治疗的龋齿患病率与父亲的受教育程度显著相关。儿童龋齿未经治疗的严重程度与父亲的职业状况显著相关。此外,未经治疗的儿童龋齿的发病率和严重程度与当地家庭收入显著相关,这表明口腔健康不平等与他们的社会经济地位有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Socio-economic and health determinants of untreated Dental Caries Burden of a group of children in rural Sri Lanka
Introduction/Background: Dental caries is a result of complex interactions between an array of biological, social and environmental factors. Since dental diseases are the 4th most expensive disease to be treated, poor people may not have financial security to access for treatments of dental caries of their children unless free oral health care services are provided. The low socio-economic status is categorized as a risk factor for dental caries along with equally important life-style-related factors such as high refined sugar consumption and poor oral hygiene. Methodology: A descriptive cross-sectional study was conducted to explore the relationship between prevalence and the severity of untreated dental caries with selected socio-economic and health service factors. A multi stage cluster sampling technique was employed to select 479 Grade I school children attending to Government schools of Wellawaya MOH area. A self- administered questionnaire was used to collect socio- demographic information. Dental caries was recorded using dmft index and severity of untreated dental caries was recorded using pufa index. Data analysis was done using SPSS version 20.The relationship of prevalence and severity of untreated dental caries with soc-economic and health service factors was assessed using Chi -square test. Results: There was a significant differences of untreated dental caries prevalence among children by different levels of father’s education (p =0 .027) and levels of family income (p= 0.018) There was a significant difference of severity of untreated dental caries among children by different levels of father’s occupation (p=0.001) and family income (p= 0.013). Conclusion: Prevalence of untreated dental caries was significantly associated with father’s educational attainment. Severity of untreated dental caries of children was significantly associated with father’s occupational status. Moreover, prevalence and severity of untreated dental caries of children were significantly associated with family income there by demonstrating oral health inequality patterned by their socio-economic status.
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