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Life sciences · Journal article
Corona Jurnal Ilmu Kesehatan Umum Psikolog Keperawatan Dan Kebidanan · September 22, 2026
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Metabolically Obese Normal Weight (MONW) is a condition in which individuals have a normal body mass index but exhibit metabolic abnormalities. Shift workers are vulnerable to MONW. This study aimed to analyze predictors of MONW among shift workers, considering dietary intake, body fat percentage, and sleep quality. A cross-sectional study was conducted among 45 shift workers at CV Tri Terra Kendal, selected using total sampling. Dietary intake was assessed using a semi-quantitative food frequency questionnaire (SQ-FFQ), body fat percentage was measured using bioelectrical impedance analysis, and sleep quality was assessed using the Pittsburgh Sleep Quality Index. Data were analyzed using univariate analysis, bivariate analysis with the chi-square test, and multivariate analysis using binary logistic regression. MONW was identified in 36 respondents (80%). Bivariate analysis showed significant associations with protein intake (p=0.047), sodium intake (p=0.024), and fiber intake (p=0.011), while other variables were not significantly associated. Multivariate analysis identified sodium and fiber intake as independent predictors of MONW. Adequate sodium intake was associated with lower odds of MONW compared with excessive sodium intake (OR=0.140; 95% CI: 0.022–0.884), whereas low fiber intake showed an association opposite to the hypothesis (OR=0.078; 95% CI: 0.008–0.760). Sodium intake was the most consistent predictor, while the fiber finding requires further investigation.