Methods

We looked at a cross-section of people ages 18–83 and divided them into three age brackets: young (18–39 years), middle-aged (40–59 years), and old (60 years). Bioelectrical impedance analysis was used to determine the BF percentage. Pearson's correlation coefficient (r) determined the correlation between BMI and BF percentage. To test the linearity of the link, we used polynomial regression and multiple regression analysis to investigate how age and gender affected the results. Separate studies looked at the connections between age and BMI and age and body fat percentage.

Results

49.1 percent of the 1114 participants were guys.Like bodyvisualizer website wrote the BMI ranged from 14.8 to 41.1 kg/m2, with a mean of 23.8 4.2 kg/m2. This study found a strong link between BMI-BF percent and BMI-BF percent in males and females of any age (r =0.75, SEE = 4.17) and all ages (r = 0.82, SEE = 3.54). A significant (p 0.001) influence of age and gender on the BMI-BF percent association, with a greater effect from gender. At higher BMI levels, the regression line was curved, with females (p 0.000) having a better fit to the curve than men (p 0.05). With age, BMI tended to rise in a curved form, but BF% increased linearly in both genders

Conclusions

In this subgroup of adult South Asians, BMI is highly correlated with BF percent as measured by bioelectrical impedance. Age and gender have a substantial impact on this relationship's curved character. Therefore, when using BMI to forecast body fat percentage/obesity in a population, age and gender should be considered.