Why the study?
The best adiposity index for predicting hypertension is still debated, prompting evaluation and comparison of different adiposity indices as predictors of hypertension risk in an ex-criminal tribe in India.
Which adiposity index best predicts the risk of hypertension in rural adults from the ex-criminal tribe of Gonda district, India?
Which adiposity index best predicts the risk of hypertension in rural adults from the ex-criminal tribe of Gonda district, India?
PBF and FM-FFM ratio are the most sensitive and specific adiposity indices for predicting hypertension risk in this rural Indian population.
May guide adiposity screening in similar rural cohorts; leaves open prospective validation before wider adoption.
The best adiposity index for predicting hypertension is still being debated. Therefore, this study aimed to compare the performance of different adiposity indices as associates and potential predictors of risk of hypertension in the ex-criminal tribe of Gonda district, Uttar Pradesh, India. Also, in this paper, attempted to construct some new indices of adiposity, relative to obesity. The present study was undertaken among 310 rural adults (154 males; 156 females) aged 20-59 years. The ANOVA and Chi-square tests, correlation analysis was performed to test for significant differences and associations between variables. The odds ratio and receiver-operating characteristic curve (ROC) were used to identify the risk factors for hypertension. The sex combined prevalence of combined general obesity, combined central obesity, and overall combined obesity is 34.9%, 69.8%, and 75.6%, respectively. The frequency of all AAIs increased from the normal stage to the hypertension stage in all cases. The SBP, DBP, and MAP had highly significant positive correlations with all adiposity measures (p <0.01). Using the Odds Ratio, obese people with BMI, WHtR, and FM-FFM ratio were found to be more than four times more likely to be hypertensive than those in the non-obese category. Finally, ROC analysis tells us that in both sexes PBFand FM-FFM ratio was the most sensitive and specific indicator for determined the optimal adiposity indices for hypertension risk in the study population.
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Biswajit Mahapatra (2023) studied this question.
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