ArticleJournal of the Endocrine Society2022
Association Between Anthropometric Indices and Nonanthropometric Components of Metabolic Syndrome in Saudi Adults.
Article in Journal of the Endocrine Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Comparative Performance of Body Mass Index and Simple Anthropometric Indices for Identifying Body Fat Percentage-Defined Obesity.Healthcare (Basel, Switzerland) · 2026Article
- Body composition indices align with thyroid variation in euthyroid Saudi adults: A cross-sectional study.The Journal of international medical research · 2026Article
- Lipid-adiposity indices outperform traditional and derived anthropometric and biochemical indices for discriminating individuals with metabolic syndrome.Frontiers in endocrinology · 2026Article
- Sociodemographic and Health Determinants of Adipose Tissue Distribution in a Local Community from Eastern Poland: A Cross-Sectional Study.Journal of clinical medicine · 2025Article
- Metabolic syndrome prediction based on body composition indices.The Journal of the Egyptian Public Health Association · 2024Article
- Gender and Age Discrepancies of Lifestyle Indices Related to Metabolic Syndrome among Iranian Aging Population.Iranian journal of public health · 2024Article
- Lifestyle patterns, nutritional, and metabolic syndrome determinants in a sample of the older Iranian population.BMC geriatrics · 2024Article
- Weight-adjusted waist index is positively and linearly associated with all-cause and cardiovascular mortality in metabolic dysfunction-associated steatotic liver disease: findings from NHANES 1999-2018.Frontiers in endocrinology · 2024Article
- Sex-Specific Cut-Offs of Seven Adiposity Indicators and Their Performance in Predicting Metabolic Syndrome in Arab Adults.Journal of clinical medicine · 2023Article
- Abdominal volume index, waist-to-height ratio, and waist circumference are optimal predictors of cardiometabolic abnormalities in a sample of Lebanese adults: A cross-sectional study.PLOS global public health · 2023Article
- Role of anthropometric indices as a screening tool for predicting metabolic syndrome among apparently healthy individuals of Karachi, Pakistan.Frontiers in endocrinology · 2023Article
- Assessing metabolic syndrome prediction quality using seven anthropometric indices among Jordanian adults: a cross-sectional study.Scientific reports · 2022Article
- Screening tools for metabolic syndrome based on anthropometric cut-off values among Thai working adults: a community-based study.Annals of Saudi medicineArticle
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Context: Waist circumference (WC) is used in screening for metabolic syndrome (MetS) based on its association with cardiometabolic risk. This might apply differently in ethnically different populations. Associations with other measures are also unclear. Objective: This work aimed to investigate the association between neck circumference (NC), WC, WC:hip circumference, WC:height (WC:Ht), NC:Ht, fat percentage, body mass index (BMI), conicity index, abdominal volume index, and weight-adjusted waist index with nonanthropometric components of MetS in nondiabetic Saudi adults. Methods: This cross-sectional study took place in public health centers in Jeddah, comprising 1365 Saudi adults (772 men and 593 women) aged 18 years or older not previously diagnosed with diabetes. Main outcome measures included: the presence of 2 or more nonanthropometric components of the MetS were used to define clinical metabolic abnormality (CMA). The predictive ability of studied anthropometric indices for CMA was determined using the area under receiver operating characteristics (AUC) curve and binary logistic regression. Results: A total of 157 men and 83 women had CMA. NC and NC:Ht had the highest predictive ability for CMA in men (odds ratio [OR] Conclusion: Upper-body anthropometric indicators that were associated with subcutaneous fat had the highest predictive ability for CMA in men whereas abdominal obesity indictors had the best predictive ability in women, suggesting that fat distribution might contribute to CMA in a sex-specific manner.
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