Aleksejuniene Jolanta, Brukiene Vilma
Department of Oral Health Sciences, Faculty of Dentistry, The University of British Columbia, Vancouver, Canada.
Stomatologija. 2008;10(3):101-6.
To explore disparities in needs for dental treatment which arise from individual and area-based socio-economic determinants.
A cross-sectional study conducted in 22 randomly selected Lithuanian areas.
In each of the pre-selected areas, one secondary school was randomly chosen.
A total of 885 15-16-year-olds participated. Outcome measures. Dental treatment need was evaluated following the WHO guidelines and aQuantitative Summative Dental Treatment Needs Index (QSDTNI) was used to calculate the total burden of needs. The information about socio-economical determinants was obtained from a structured questionnaire and national statistics database. Individual socio-economic status (SES) measures were: parents' occupation, family structure, family income and affordability to have holiday used as a proxy measure for income. The area-based SES estimates were: unemployment, average household income, educational attainment, natural increase/decrease of population in an area and net migration rate. Data was analyzed by bivariate and multivariate analyses.
None of significant bivariate associations between individual socio-economic variables and the QSDTNI were detected. Among area-based variables natural increase/decrease of population in an area and net migration rate were significantly related to the QSDTNI. Two individual and two area-based factors were extracted and introduced into Linear Multiple Regression Analysis (LMR). The LMR model was significant, but only one factor, i.e. area demographics, significantly contributed to this model.
There are no clear social disparities in dental treatment needs in Lithuanian adolescents.
探讨由个体和地区社会经济决定因素引起的牙科治疗需求差异。
在立陶宛随机选取的22个地区进行的横断面研究。
在每个预先选定的地区，随机选择一所中学。
共有885名15至16岁的青少年参与。结果测量。根据世界卫生组织指南评估牙科治疗需求，并使用定量汇总牙科治疗需求指数（QSDTNI）计算需求的总负担。社会经济决定因素的信息来自结构化问卷和国家统计数据库。个体社会经济地位（SES）指标包括：父母职业、家庭结构、家庭收入以及将度假可承受能力用作收入的替代指标。基于地区的SES估计包括：失业率、平均家庭收入、教育程度、一个地区的人口自然增减以及净迁移率。数据通过双变量和多变量分析进行分析。
未检测到个体社会经济变量与QSDTNI之间的显著双变量关联。在基于地区的变量中，一个地区的人口自然增减和净迁移率与QSDTNI显著相关。提取了两个个体因素和两个基于地区的因素，并将其引入线性多元回归分析（LMR）。LMR模型具有显著性，但只有一个因素，即地区人口统计学，对该模型有显著贡献。
立陶宛青少年在牙科治疗需求方面没有明显的社会差异。
