Logistic Regression Analysis on the Dietary Behavior and the Risk of Nutritional Deficiency Dermatosis: The Case of Bicol Region, Philippines

TL;DR

This study uses logistic regression to analyze how dietary behaviors influence nutritional deficiency dermatoses risk in the Bicol region, emphasizing the importance of riboflavin intake and food diversity.

Contribution

It provides new insights into the relationship between food purchase patterns and NDD risk, with a focus on riboflavin-rich foods and regional dietary habits.

Findings

NDD risk prevalence is 15.75% in the region.

Riboflavin-rich foods like meat, eggs, and dairy significantly reduce NDD risk.

The logistic regression model achieved 94.1% accuracy and strong predictive performance.

Abstract

This study explores the link between dietary behavior and the risk of nutritional deficiency dermatoses (NDD) in the Bicol region, where malnutrition remains a concern. Using regression analysis on FNRI data, it examines food purchase patterns, particularly riboflavin intake. Findings show an NDD risk prevalence of 15.75%, with Masbate and Camarines Sur contributing over half of cases. While rice (1590.93 g/day) and plant-based diets (523.30 g/day) are not rich in riboflavin, they still reduce NDD odds by 0.3% per gram. Riboflavin-rich foods like meat, eggs, and dairy lower risks by up to 3% per gram. The logistic regression model demonstrated strong performance (Nagelkerke = 0.765, accuracy = 94.1%, precision = 84.5%). Findings highlight the need for nutrition interventions, including enriched rice, better market access, and food diversity education to improve riboflavin intake and mitigate NDD risks.