Table 1.
Normative body fat percentages [18].
Table 2.
Characteristics of study participants.
Fig 1.
Anthropometric and body composition indices of study participants.
This figure presents the distribution of anthropometric and body composition indices among study participants. Subfigure (A) shows the proportion of individuals classified as overweight or obese. Subfigure (B) depicts the percentage of participants with high visceral fat levels. Subfigure (C) illustrates the proportion of participants with high-risk waist-to-hip ratios. Subfigure (D) displays the distribution of participants at risk of malnutrition or already malnourished based on the Subjective Global Assessment (SGA) tool.
Fig 2.
Calories and macronutrients consumption.
This figure highlights the dietary macronutrient consumption and caloric intake among the study participants. It shows the percentage of individuals with inadequate intake of protein, fats, and carbohydrates, as well as the proportion of participants not meeting daily caloric requirements.
Fig 3.
Micronutrient distribution among study participants.
The figure illustrates the prevalence of micronutrient inadequacies among study participants. Subfigure (A) represents deficiencies in essential minerals such as calcium, potassium, and zinc. Subfigure (B) presents the prevalence of vitamin deficiencies, including vitamins A, C, E, K, and B-complex vitamins.
Fig 4.
Prevalence of anemia among the study participants.
This figure depicts the distribution of anemia among the study participants. It shows the percentage of individuals with hemoglobin levels below the normal threshold, indicating a high prevalence of anemia in the study population.
Table 3.
Factors associated with nutritional status of participants.
Fig 5.
Decision tree showing the influence of diastolic blood pressure and vitamin C levels on the progression of LF.
The decision tree model identifies key predictors influencing the progression of lymphatic filariasis (LF). It highlights the role of diastolic blood pressure and vitamin C levels in determining disease severity, with thresholds indicating an increased likelihood of progression from early to advanced stages.
Fig 6.
Random forest plot showing the importance of predictors (top 10) for classifying LF progression based on the Mean Decrease in Gini index.
This figure presents the results of the random forest model, ranking the most important variables in predicting LF progression. Elevated blood pressure, vitamin C, and vitamin K emerge as the strongest predictors, along with other factors such as BMI, anemia status, folate levels, and age.