Affiliation:
1. The Second Affiliated Hospital of Guangzhou Medical University
2. Guangdong Medical University
3. Guangzhou Medical University
Abstract
Abstract
Objective Few research discuss whether the body measurement indexs of obesity in general populations is applicable to patients with type 2 diabetes. We explore the optimal cutoffs of visceral fat area (VFA) and subcutaneous fat area (SFA) in the diagnosis of central obesity and the cutoffs of corresponding waist circumference (WC) and body mass index (BMI) in patients with Type 2 Diabetes Mellitus (T2DM).
Design Cross-sectional cohort study
Setting and participants 1057 patients with T2DM (550 males and 507 females) aged 18 or above that satisfied the criteria were included. The definition and diagnostic criteria of Metabolic syndrome (Mets) were analyzed according to the 2020 Chinese Diabetes Society (CDS) Guideline.
Primary and secondary outcome measures The VFA and SFA were measured by bioelectrical impedance analysis (BIA). The optimal VFA and SFA cutoffs and corresponding WC and BMI when two or more nonadipose components of MetS (without central obesity) were met were analyzed by ROC curve.
Results: Among all of the T2DM patients, the optimal VFA cutoff for identifying two or more nonadipose components of MetS was 73.3cm2 for females and 69.2cm2 for males, while the optimal SFA cutoff was 186.7cm2 for females and 123.3cm2 for males. The ROC area under the curve (AUC) of VFA for identifying two or more nonadipose components of MetS was higher than that of SFA. The VFA cutoff of newly diagnosed T2DM patients (females=86.1cm2, males=69.0cm2) was higher than that of non-newly diagnosed T2DM patients (females=73.3cm2, males=65.4cm2). A stratification analysis of gender and whether newly diagnosed with T2DM or not showed that the WCs corresponding to VFA were 85cm and BMI was about 24 Kg/m2.
Conclusion: The VFA for diagnosing central obesity in T2DM patients was 70cm2 for males and about 73cm2 for females, the corresponding WC were 85 cm and BMI was 24 Kg/m2.
Publisher
Research Square Platform LLC