Cut-off Value of Anthropometric Indices for the Prediction of Pulmonary Function and Risk Factors Among the Chiru Tribe of Manipur

Abstract

Obesity is becoming a well-known health parameter that is associated with a wide range of health issues, including respiratory diseases such as coronary heart disease (CHD), coronary artery disease (CAD), chronic obstructive pulmonary disease (COPD), asthma, etc. This cross-sectional study aimed to identify the anthropometric indices’ cut-off points (BMI, WC, WHR, and WHtR) for predicting lung impairment and identifying associated risk factors among Chiru adults in Manipur. The sample consisted of 416 individuals (209 males and 207 females) aged 20–79 years from four villages in the hill districts of Manipur. Descriptive means, binary logistic regression, and ROC curves were used for statistical analysis. The analysis revealed that WHR had the highest AUC (male: 0.676; female: 0.601). Overweight and obesity (OR = 1.71, p < .05), WC (OR = 2.78, p < .05), WHR (OR = 2.61, p < .000), and WHtR (OR = 2.35, p < .01) were significantly associated with lung impairment in males only. However, age was a significant risk factor in both sexes (male: OR = 42.51, p < .001; female: OR = 18.82, p < .001). Furthermore, physical activity (OR = 0.61, p < .05) and smoking (OR = 1.72, p < .05) significantly impacted lung impairment in males, while no statistical significance was found in females. The study concludes that anthropometric indices can predict lung impairment development, and age, physical activity, and smoking significantly influence lung impairment.