Abstract
CONTEXT: Over the past three decades, there has been a significant rise in the prevalence of noncommunicable diseases (NCDs) globally, accompanied by a relative decline in communicable diseases. AIMS: With this background, the research was planned to determine the prevalence of acanthosis nigricans (AN) or skin tags (STs) in the study population and to examine the relationship between the presence of AN and ST with commonly used indicators such as waist-to-height ratio (W/Ht.), Indian Diabetes Risk Score (IDRS), and body mass index for predicting the risk of NCDs. SETTINGS AND DESIGN: This cross-sectional study was done at a health facility in Lucknow (India). METHODOLOGY: Consecutive sampling was employed to select 152 apparently healthy adults as the participants. Data collection involved administering a questionnaire and conducting anthropometry using standardized methods. Visual inspection was conducted to identify AN or ST on the common sites. STATISTICAL ANALYSIS USED: Data entry was done in Microsoft Office Excel, followed by data analysis using SPSS. To test the association between variables "significance of difference of mean," Chi-square test, logistic regression analysis, and estimation of Kohen's kappa were used. A "P" value was considered statistically significant at <0.05 level. The sensitivity and specificity of AN and ST were also estimated in predicting the risk of NCDs. RESULTS: The prevalence of AN was 19.08% (95% confidence interval [CI] = 12.76%-25.40%), while the prevalence of STs was 28.29% (95% CI = 21.05%-35.53%). AN showed a sensitivity of 22.4% and specificity of 96.3% with W/Ht. ratio as the standard, and a sensitivity of 26.44% and specificity of 90.77% with IDRS as the standard. ST exhibited a sensitivity of 32.0% and specificity of 88.89% with W/Ht. ratio as the standard, and a sensitivity of 37.93% and specificity of 84.62% with IDRS as the standard. CONCLUSION: AN and ST can be used as simple and time-saving tools in screening protocols for (NCDs). Further research is desirable to validate the findings.