Dudeja Puja, Singh Gurpreet, Gadekar Tukaram, Mukherji Sandip
Assistant Professor, Department of Community Medicine, Armed Forces Medical College, Pune 411040, India.
Clinical Tutor, Department of Community Medicine, Armed Forces Medical College, Pune 411040, India.
Med J Armed Forces India. 2017 Apr;73(2):123-128. doi: 10.1016/j.mjafi.2016.08.007. Epub 2016 Oct 18.
India is diabetic capital of world, with maximum number of diabetic patients. There is large burden of undetected diabetic cases in community. There is increasing risk of diabetes in urban slum, because of illiteracy, lack of awareness, low socioeconomic status and unhealthy life style. Madras Diabetes Research Foundation (MDRF) has developed Indian Diabetes Risk Score (IDRS) to detect undiagnosed Type 2 diabetes. The aim of this article is to study the performance of IDRS as screening tool for undiagnosed cases of Type 2 diabetes and to find the prevalence of undiagnosed Type 2 diabetes in an urban slum.
Screening for diabetes was carried out in an urban slum. The sample size was 155 (assumed prevalence of undiagnosed diabetes 9%). IDRS tool comprising of two modifiable (waist circumference, physical activity) and two non-modifiable risk factors (age, family history) for diabetes was used to assess the risk of diabetes anthropometry data was obtained. Conformation of diabetes was done using blood sugar levels on fasting venous sample.
Mean and SD for age of study subjects were 49.68 ± 14.80 years, BMI 26.60 ± 8.51 kg/m, waist hip ratio (females) 0.87 ± 0.06 cm, waist hip ratio (males) 0.95 ± 0.06 cm, waist circumference (females) 89.99 ± 10.95 cm, waist circumference (males) 89.44 ± 10.9 cm. IDRS predicted the risk of diabetes mellitus with sensitivity of 95.12% and specificity of 28.95% in individuals with score >60.
IDRS can be used as an effective tool for screening undiagnosed diabetes in the community.
印度是世界糖尿病之都,糖尿病患者数量最多。社区中未被发现的糖尿病病例负担沉重。由于文盲、缺乏意识、社会经济地位低和不健康的生活方式,城市贫民窟中患糖尿病的风险在增加。马德拉斯糖尿病研究基金会(MDRF)开发了印度糖尿病风险评分(IDRS)以检测未确诊的2型糖尿病。本文的目的是研究IDRS作为未确诊2型糖尿病病例筛查工具的性能,并找出城市贫民窟中未确诊2型糖尿病的患病率。
在一个城市贫民窟中进行糖尿病筛查。样本量为155(假定未确诊糖尿病的患病率为9%)。使用由两个可改变的(腰围、身体活动)和两个不可改变的糖尿病风险因素(年龄、家族史)组成的IDRS工具来评估糖尿病风险,并获取人体测量数据。通过空腹静脉样本的血糖水平来确诊糖尿病。
研究对象的年龄均值和标准差为49.68±14.80岁,体重指数为26.60±8.51kg/m,腰臀比(女性)为0.87±0.06cm,腰臀比(男性)为0.95±0.06cm,腰围(女性)为89.99±10.95cm,腰围(男性)为89.44±10.9cm。IDRS在得分>60的个体中预测糖尿病风险的灵敏度为95.12%,特异度为28.95%。
IDRS可作为社区中筛查未确诊糖尿病的有效工具。