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影响正畸治疗接受度的因素。

Factors influencing the uptake of orthodontic treatment.

机构信息

Department of Paediatric Dentistry and Orthodontics, Faculty of Dentistry, The University of Jordan, Amman, Jordan.

出版信息

J Public Health Dent. 2013 Fall;73(4):339-44. doi: 10.1111/jphd.12034. Epub 2013 Sep 8.

DOI:10.1111/jphd.12034
PMID:24010920
Abstract

OBJECTIVES

The aim of this study was to investigate the factors that may influence orthodontic treatment uptake such as socioeconomic class (SEC), type of funding, and gender.

METHODS

The sample comprised 550 adolescents (232 men, 318 women) aged 13-17 years. Demographic data and questions concerning treatment experience, satisfaction with dental appearance, self-perceived need, dental attendance pattern, and presence of a health insurance were collected by means of a questionnaire. SEC was established by using an index developed for Jordanians. Normative treatment need was assessed by using the Index of Orthodontic Treatment Need. Chi-squared test and logistic regression analysis were used for the statistical analyses.

RESULTS

Treatment uptake was significantly less in the low SEC group (5.2 percent) than the other SEC groups. Women were more frequently treated than men as were those subjects who possessed a health insurance and who regularly attended a dentist. The odds of not receiving orthodontic treatment were significantly higher in the lowest SEC group (odds ratio = 26, P < 0.001). Gender, health insurance, and dental attendance pattern were significant variables in predicting treatment uptake but to a lesser extent than SEC.

CONCLUSIONS

Low SEC had a strong predictive effect on treatment uptake; socioeconomically deprived individuals were less likely to undergo orthodontic treatment.

摘要

目的

本研究旨在探讨可能影响正畸治疗接受度的因素,包括社会经济阶层(SEC)、资金类型和性别。

方法

该样本包括 550 名年龄在 13-17 岁的青少年(232 名男性,318 名女性)。通过问卷调查收集人口统计学数据以及治疗经历、对牙齿外观的满意度、自我感知需求、牙齿就诊模式和是否拥有健康保险等问题。SEC 通过为约旦人开发的指数来确定。使用正畸治疗需求指数评估规范治疗需求。使用卡方检验和逻辑回归分析进行统计分析。

结果

低 SEC 组(5.2%)的治疗接受度明显低于其他 SEC 组。女性比男性更常接受治疗,那些拥有健康保险且定期看牙医的人也是如此。在最低 SEC 组中,不接受正畸治疗的可能性显著更高(优势比=26,P<0.001)。性别、健康保险和牙齿就诊模式是预测治疗接受度的重要变量,但程度低于 SEC。

结论

低 SEC 对治疗接受度有很强的预测作用;社会经济地位较低的个体接受正畸治疗的可能性较小。

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