Anthropometric Indices as Long-Term Predictors of Diabetes in Impaired Fasting Glucose Metabolism: Findings in the PURE Study in Poland

Święcicka-Klama, Agnieszka; Połtyn–Zaradna, Katarzyna; Wołyniec, Maria; Szuba, Andrzej; Zatońska, Katarzyna

doi:10.1007/5584_2021_681

Cited by 2 publications

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, another study 9 of 906 type 2 diabetic patients showed that the BMI showed the largest AUCs for diagnosis of metabolic syndrome in women aged ≥60 years. The variations across these studies may indicate that the best indicators for evaluating metabolic abnormalities differ depending on sex, age, ethnicity, and body shape 25,26 . Our study conducted a detailed subgroup analysis based on age, sex, and body shape, and similarly found that BMI is a better predictor of metabolic abnormalities than WHtR in the female population aged over 50 years, whereas for other population groups, WHtR showed the highest assessed value.…”

Section: Discussionmentioning

confidence: 72%

What is the best anthropometry index to evaluate the risk of metabolic abnormalities in Chinese adults?

Jiang

Shen

et al. 2022

Diabetes Metabolism Res

View full text Add to dashboard Cite

Aims Obesity, defined by body mass index (BMI), is a heterogeneous condition with varying metabolic manifestations, and the best index for predicting metabolic abnormalities remains unclear. This study aimed to explore the most suitable anthropometry index for predicting metabolic abnormalities in Chinese adults. Methods A cross‐sectional study was conducted using the data obtained from 9517 Chinese adults who underwent physical examination, bioelectrical impedance analysis, and laboratory examinations between March 2018 and March 2022. Participants were further divided into eight subgroups according to age, BMI, and sex. Descriptive statistics were calculated, and the area under the receiver operating characteristic curve and Youden index values were calculated to identify the best predictor of metabolic abnormalities in Chinese adults. Results The waist‐to‐height ratio (WHtR) had the largest area under the curve for predicting metabolic abnormalities in men of any age and women aged 18–49 years. However, BMI showed the highest accuracy in predicting metabolic abnormalities in women aged 50 years and older. Based on the highest Youden index, the optimal WHtR threshold was 0.51 in women and 0.53 in men. Conclusions The WHtR was the most effective index for predicting metabolic abnormalities in most Chinese adults, whereas BMI showed a higher accuracy only in elderly women. This observation supports WHtR as a novel adiposity marker for screening metabolic abnormalities and shows value for public health practice.

show abstract

Section: Discussionmentioning

confidence: 72%