Prevalent obstacles and predictors for people living with type 2 diabetes.

International journal of family medicine Pub Date : 2012-01-01 Epub Date: 2012-12-02 DOI:10.1155/2012/842912
L Pilv, A Rätsep, M Oona, R Kalda
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引用次数: 9

Abstract

Background. Type 2 diabetes (T2DM) is a chronic, progressive disease with serious micro- and macrovascular complications. A person affected by T2DM should learn to accept the new restricted lifestyle. Aims. The aim of the study was to identify the prevalence of obstacles in coping with daily life for people with T2DM and the magnitude of the relationships of the obstacles with various patient characteristics. Methods. Participants were recruited from randomly selected GPs' lists in Estonia. Respondents completed the Estonian version of the Diabetes Obstacles Questionnaire (DOQ). The statements were assessed on a 5-point scale. Biomedical and clinical variables were measured. The central tendency statistics and skewness and kurtosis for all statements were computed to find out those that reflect obstacles. Then obstacles of the DOQ were stratified. Multinomial logistic regression (MLR) was computed to estimate the influences of descriptive variables on the statements. Results and Conclusions. Altogether, 138 diabetic patients were enrolled in the study. Fourteen statements were identified as obstacles. Variables such as age, type of diabetes treatment, and BMI had significant effects on five of them. Younger age, BMI, and insulin nonuse were revealed as the strongest predictive characteristics for perceiving obstacles more often in coping with daily life.

2型糖尿病患者的常见障碍和预测因素。
背景。2型糖尿病(T2DM)是一种慢性进行性疾病,伴有严重的微血管和大血管并发症。受2型糖尿病影响的人应该学会接受新的限制生活方式。目标该研究的目的是确定T2DM患者日常生活中障碍的流行程度,以及这些障碍与各种患者特征之间的关系程度。方法。参与者是从爱沙尼亚随机选择的全科医生名单中招募的。受访者完成了爱沙尼亚版的糖尿病障碍问卷(DOQ)。这些陈述以5分制进行评估。测量生物医学和临床变量。计算所有陈述的集中趋势统计量、偏度和峰度,以找出反映障碍的陈述。然后对DOQ障碍进行分层。使用多项逻辑回归(MLR)来估计描述性变量对陈述的影响。结果与结论。总共有138名糖尿病患者参加了这项研究。14项声明被确定为障碍。年龄、糖尿病治疗类型和BMI等变量对其中的5个有显著影响。年龄较小、BMI和不使用胰岛素是在日常生活中更经常感知障碍的最强预测特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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