Optimal Cut-Offs of Body Mass Index and Waist Circumference to Identify Obesity in Chinese Type 2 Diabetic Patients.

body mass index diagnostic test dual-energy X-ray absorptiometry type 2 diabetes waist circumference

Journal

Diabetes, metabolic syndrome and obesity : targets and therapy
ISSN: 1178-7007
Titre abrégé: Diabetes Metab Syndr Obes
Pays: New Zealand
ID NLM: 101515585

Informations de publication

Date de publication:
2020
Historique:
received: 27 02 2020
accepted: 13 05 2020
entrez: 26 6 2020
pubmed: 26 6 2020
medline: 26 6 2020
Statut: epublish

Résumé

The prevalence of general obesity (commonly defined by body mass index (BMI) in kg/m BMI and WC were obtained from 1539 type 2 diabetic patients. Body fat percentage and visceral fat area measured by dual-energy x-ray absorptiometry were set as the gold standard to identify general and abdominal obesity. We assessed the diagnostic power of traditional cut-offs for BMI and WC to define obesity, and analyzed receive operating characteristic (ROC) curves to obtain the optimal cut-offs to identify obesity in Chinese type 2 diabetic patients. In Chinese type 2 diabetic patients, the optimal BMI was 25 kg/m For the Chinese patients with type 2 diabetes, the optimal cut-offs for BMI or WC to identify general or abdominal obesity need to be reconsidered.

Identifiants

pubmed: 32581564
doi: 10.2147/DMSO.S251574
pii: 251574
pmc: PMC7278219
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1899-1909

Informations de copyright

© 2020 Zhao et al.

Déclaration de conflit d'intérêts

The authors report no conflicts of interest in this work.

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Auteurs

Qinying Zhao (Q)

Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.

Xiangjun Chen (X)

Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.

Jinshan Wu (J)

Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.

Lilin Gong (L)

Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.

Jinbo Hu (J)

Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.

Shumin Yang (S)

Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.

Qifu Li (Q)

Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.

Zhihong Wang (Z)

Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.

Classifications MeSH