Data · dataset · 2026

<p>Multivariable logistic regression model for factors associated with microbiological non-compliance in ready-to-eat foods (n = 1,846). Regression coefficients (B), standard errors, Wald statistics, p-values, odds ratios [OR], and 95% confidence intervals (95% CI) are presented. The model was adjusted for temporal variables (year 2020), territorial variables (rural/dispersed municipalities and Villavicencio), type of establishment (food service, food operator, and institutional), and food matrix type (raw or highly handled foods, liquid preparations, and dairy/sweet products), using thermally processed foods as the reference category. Odds ratios >1 indicate higher odds of microbiological non-compliance, whereas odds ratios <1 indicate lower odds of microbiological non-compliance. Statistical significance was defined as p < 0.05.</p>

Listed in NCL Data

<p>Multivariable logistic regression model for factors associated with microbiological non-compliance in ready-to-eat foods (n = 1,846).