ArticleBMC endocrine disorders2022
Performance of body mass index and body fat percentage in predicting metabolic syndrome risk factors in diabetic patients of Yazd, Iran.
Article in BMC endocrine disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06408610 (Moderate Continuous Versus High Interval Intensity Training on Gut Dysbiosis and Glucagon Like Peptide Hormone in Irritable Bowel Syndrome), which is not on this map. Cited by 10 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Moderate Continuous Versus High Interval Intensity Training on Gut Dysbiosis and Glucagon Like Peptide Hormone in Irritable Bowel Syndrome
Who cites it
10 citing papers in PubMed, 20 citations in OpenAlex.
- Using artificial intelligence to predict adverse outcomes in emergency department patients with hyperglycemic crises in real time.BMC endocrine disorders · 2023Trial
- Retrospective cohort study of body fat percentage and incident impaired fasting glucose among Chinese adults.Scientific reports · 2026Article
- Evaluating body composition, the eating behavior scale, and the healthy lifestyle index in female Jordanian adults with metabolic syndrome: a cross-sectional study.Diabetology & metabolic syndrome · 2025Article
- Association between obesity type and dyslipidemia by age and sex: a cross-sectional study using data from the 2022 Korea National Health and Nutrition Examination Survey.Journal of Korean biological nursing science · 2025Article
- Risk factors analysis and prediction models of obesity in college students based on dietary patterns.Frontiers in nutrition · 2025Article
- Metabolic syndrome prediction based on body composition indices.The Journal of the Egyptian Public Health Association · 2024Article
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- Baseline data and associations between urinary biomarkers of polycyclic aromatic hydrocarbons, blood pressure, hemogram, and lifestyle among wildland firefighters.Frontiers in public health · 2024Article
- Assessment of Obesity and Associated Risk Factors of Diabesity in an Urban Population in Central India.Cureus · 2023Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBody Fat percentage (BFP) and body mass index (BMI) are used to measure obesity-related metabolic syndrome risk. The present study aimed to determine the values of percent body Fat and body mass index for predicting metabolic syndrome risk factors in diabetic patients of Yazd, Iran.
methodsA total of 1022 (499 males and 523 females) diabetic patients participated in this study. According to Asian BMI criteria, Overweight was diagnosed if a participant had a BMI ≥25 kg/m
resultsAccording to the results, the BMI of 23.4% were normal and BMI of 76.6% were overweight, respectively. Moreover, the BFP of 25.7 and 74.3% of the studied population were considered as Non-Fat and Fat, respectively. A strong relationship was found with respect to sex stratification; R
conclusionSignificant differences were observed between BMI and BFP to predict metabolic syndrome risk factors in diabetic patients across different sexes in our study population. In conclusion, both BMI and BFP should be considered in screening steps.
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