Sathish, TKannan, SSarma, PSThankappan, KR2015-07-292015-07-292015Asia Pac J Public Health.27;2;147-54http://aph.sagepub.com/content/early/2012/07/18/1010539512454162https://dspace.sctimst.ac.in/handle/123456789/2549The authors aimed to develop a diabetes risk score for primary care providers in rural India. They used the baseline data of 451 participants (15-64 years) of a cohort study in a rural area of Kerala, India. The new risk score with age, family history of diabetes, and waist circumference identified 40.8% for confirmatory testing, had a sensitivity of 81.0%, specificity of 68.4%, positive predictive value of 37.0%, and negative predictive value of 94.0% for an optimal cutoff ?4 with an area under the receiver operating characteristic curve of 0.812 (95% confidence interval = 0.765-0.860). The new risk score with 3 simple, easy-to-measure, less time-consuming, and less expensive variables could be suitable for use in primary care settings of rural India.Public Health