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Cutoffs of different body measurement indexes of central obesity in patients with type 2 diabetes.
Luo, Ai; Tang, Zheng; Xu, XiaoJia; Li, Chao; Zhou, Die; Xiao, Dong; Lu, Yongjie; Liang, Rutao; Guan, Guifen; Li, Wangen; Hu, Zhuoqing.
Affiliation
  • Luo A; Department of Endocrinology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510220, China.
  • Tang Z; Guangdong Medical University, Zhanjiang, 524000, China.
  • Xu X; Department of Endocrinology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510220, China.
  • Li C; Guangdong Medical University, Zhanjiang, 524000, China.
  • Zhou D; Department of Laboratory, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510220, China.
  • Xiao D; Department of Endocrinology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510220, China.
  • Lu Y; School of Public Health, Guangzhou Medical University, Guangzhou, 510220, China.
  • Liang R; Guangdong Medical University, Zhanjiang, 524000, China.
  • Guan G; Department of Endocrinology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510220, China.
  • Li W; Department of Endocrinology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510220, China. liwg660@126.com.
  • Hu Z; Department of Endocrinology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510220, China. hzq7744@163.com.
Sci Rep ; 14(1): 2154, 2024 01 25.
Article in En | MEDLINE | ID: mdl-38273013
ABSTRACT
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 (T2D). Cross-sectional cohort study. 1057 patients with T2D (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. 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. Among all of the T2D patients, the optimal VFA cutoff for identifying two or more nonadipose components of MetS was 73.30 cm2 for females and 69.20 cm2 for males, while the optimal SFA cutoff was 186.70 cm2 for females and 123.30 cm2 for males. The ROC area under curve (AUC) of VFA for identifying two or more nonadipose components of MetS was higher than that of SFA (Female 0.65 vs. 0.58, P = 0.01). The VFA cutoff of newly diagnosed T2D patients (females = 86.10 cm2, males = 69.00 cm2) was higher than that of non-newly diagnosed T2D patients (females = 73.30 cm2, males = 65.40 cm2). A stratification analysis of gender and whether newly diagnosed with T2D or not showed that the WCs corresponding to VFA were 85.00 cm and BMI was about 24.00 kg/m2. VFA measured by BIA can be a non-invasive method to detect central obesity in patients with T2D, the corresponding WC were 85.00 cm and BMI was 24.00 kg/m2.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Metabolic Syndrome / Diabetes Mellitus, Type 2 Type of study: Diagnostic_studies / Etiology_studies / Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Metabolic Syndrome / Diabetes Mellitus, Type 2 Type of study: Diagnostic_studies / Etiology_studies / Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: China