Association between visceral fat area and metabolic syndrome in individuals with normal body weight: insights from a Chinese health screening dataset

• Published in: Lipids in health and disease Vol. 24; no. 1; pp. 57 - 13
• Main Authors: Sun, Yongbing, Lin, Xinbei, Zou, Zhi, Zhou, Yang, Liu, Ao, Li, Xin, Du, Yawei, Ji, Xiaoqi, Li, Zhonglin, Wu, Xiaoling, Wang, Yong, Lv, Xue, Li, Tao, Zhang, Jiancheng, Guo, Zhiping, Li, Hao, Li, Yongli
• Format: Journal Article
• Language: English
• Published: London BioMed Central 18.02.2025; BioMed Central Ltd; BMC
• Subjects: Adipose tissues; Adult; Aged; Analysis; Asian continental ancestry group; Biomedical and Life Sciences; Body Mass Index; Body Weight; Care and treatment; China - epidemiology; Clinical Nutrition; Cross-Sectional Studies; CT imaging; Diagnosis; Female; Health aspects; Humans; Intra-abdominal fat; Intra-Abdominal Fat - diagnostic imaging; Intra-Abdominal Fat - pathology; Life Sciences; Lipidology; Longitudinal Studies; Male; Medical Biochemistry; Medical screening; Metabolic diseases; Metabolic syndrome; Metabolic Syndrome - diagnosis; Metabolic Syndrome - diagnostic imaging; Metabolic Syndrome - epidemiology; Metabolic Syndrome - pathology; Methods; Middle Aged; Risk Factors; ROC Curve; China; Japan; Intra-abdominal fat; Body mass index; Asian continental ancestry group; Metabolic syndrome
• ISSN: 1476-511X; 1476-511X
• DOI: 10.1186/s12944-025-02482-0

Background Metabolic syndrome (MetS) is increasingly diagnosed in individuals with normal body weight, and visceral fat emerges as a significant risk factor. However, the relationship between visceral fat area (VFA) and MetS within this population remains inadequately explored, and the diagnostic threshold for MetS in normal-weight individuals is yet to be established. Methods This study used a cross-sectional design combined with longitudinal cohort analysis. Data were collected from 5,944 normal-weight participants who underwent health screenings at Henan Provincial People’s Hospital of China between October 2018 and October 2024. VFA was measured via multislice computed tomography scanning, and VFA-based tertile categorization was applied among the participants. The relationship between VFA and MetS was examined using univariate and multivariate logistic regression analyses. Nonlinear relationship was investigated by restricted cubic spline (RCS) modeling, and diagnostic accuracy was determined by receiver operating characteristic (ROC) curve analysis. Furthermore, data from individuals who completed three or more screenings were used to construct Kaplan–Meier survival curves for MetS events, with significance tested using the log-rank method. Results Among the individuals with a normal BMI, elevated VFA was associated with a high incidence of MetS. After the adjustment for confounders, VFA was significantly associated with MetS risk [odds ratio (OR) = 1.13, 95% confidence interval (CI): 1.12–1.25]. The subjects in the highest VFA tertile showed significantly elevated MetS risk (OR = 30.33; 95% CI: 19.00–48.43, P  < 0.001) versus those in the lowest tertile. The RCS model demonstrated a nonlinear, positive association between VFA and MetS risk ( P for nonlinearity < 0.001), with risk escalation slowing down when the VFA exceeded 100 cm². ROC analysis showed that VFA had the highest diagnostic accuracy for MetS compared with other abdominal fat measures (AUC = 0.844, sensitivity = 0.839, specificity = 0.793, and accuracy = 0.785). In a longitudinal subset of 398 normal-weight participants followed for 6 years, 106 MetS cases occurred, with cumulative incidence rising as VFA increased (log-rank test, P  < 0.001). Conclusion VFA shows an independent, nonlinear, positive association with MetS risk among normal-weight individuals, with a threshold effect at 100 cm². VFA = 162.85 cm² may serve as an accurate and effective predictor for MetS in this population.