Open AccessSimple risk score to detect rural Asian Indian (Bangladeshi) adults at high risk for type 2 diabetes
Author(s) -
Bhowmik Bishwajit,
Akhter Afroza,
Ali Liaquat,
Ahmed Tofail,
Pathan Faruque,
Mahtab Hajera,
Khan Abul Kalam Azad,
Hussain Akhtar
Publication year - 2015
Publication title -
journal of diabetes investigation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.089
H-Index - 50
eISSN - 2040-1124
pISSN - 2040-1116
DOI - 10.1111/jdi.12344
Subject(s) - medicine , type 2 diabetes , confidence interval , logistic regression , receiver operating characteristic , diabetes mellitus , cohort , body mass index , framingham risk score , waist , cohort study , odds ratio , demography , endocrinology , disease , sociology
Aims/Introduction To develop and evaluate a simple, non‐invasive, diabetes risk score for detecting individuals at high risk for type 2 diabetes in rural Bangladesh. Materials and Methods Data from 2,293 randomly selected individuals aged ≥20 years from a cross‐sectional study in a rural community of Bangladesh (2009 Chandra Rural Study) was used for model development. The validity of the model was assessed in another rural cross‐sectional study (2009 Thakurgaon Rural Study). The logistic regression model used included age, sex, body mass index, waist‐to‐hip ratio and hypertension status to predict individuals who were at high risk for type 2 diabetes. Results On applying the developed model to both cohorts, the area under the receiver operating characteristic curve was 0.70 (95% confidence interval 0.68–0.72) for the Chandra cohort and 0.71 (95% confidence interval 0.68–0.74) for the Thakurgaon cohort. The risk score of >9 was shown to have the optimal cut‐point to detect diabetes. This score had a sensitivity of 62.4 and 75.7%, and specificity of 67.4 and 61.6% in the two cohorts, respectively. This risk score was shown to have improved sensitivity and specificity to detect type 2 diabetes cases compared with the Thai, Indian, Omani, UK , Dutch, Portuguese and Pakistani diabetes risk scores. Conclusions This simple, non‐invasive risk score can be used to detect individuals at high risk for type 2 diabetes in rural Bangladesh. Subjects with a score of 9 or above (out of 15) should undergo an oral glucose tolerance test for definitive diagnosis of diabetes.