Observational studyMedicine2019
Normal body mass index (BMI) can rule out metabolic syndrome: An Israeli cohort study.
Observational study in Medicine, 2019. 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 33 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.
- Effects of exercise on body mass index and waist circumference of individuals with intellectual and developmental disabilities: a systematic review with meta-analysis.Frontiers in physiology · 2023Pooled it
- Association Between Anthropometric Risk Factors and Metabolic Syndrome Among Adults in India: A Systematic Review and Meta-Analysis of Observational Studies.Preventing chronic disease · 2022Pooled it
- A CVD Classification Model for Individuals With Obesity: Multi-Ethnic Validation Based on Multiple Metabolic Indicators.Obesity (Silver Spring, Md.) · 2026Article
- Periodontal severity and metabolic syndrome: A cross-sectional study from a tertiary care hospital in India.Bioinformation · 2026Article
- Distinct Characteristics of Patients with Gout and an Underweight or Normal Body Mass Index: A Single-Center Retrospective Cross-Sectional Study.Life (Basel, Switzerland) · 2025Article
- Reply to: Commentary on "The Impact of Diabetes and Metabolic Syndrome Burden on Pain, Neuropathy Severity and Fiber Type".Annals of clinical and translational neurology · 2025Article
- Relationships between metabolic syndrome and lifestyle factors: a retrospective cohort study in Japan.Preventive medicine reports · 2025Article
- The Impact of Diabetes and Metabolic Syndrome Burden on Pain, Neuropathy Severity and Fiber Type.Annals of clinical and translational neurology · 2025Observational
- Association of novel visceral obesity indices with 10-year risk of major cardiovascular events in patients with type 2 diabetes mellitus.The Journal of the Egyptian Public Health Association · 2025Article
- Developing a risk model for early diagnosis of metabolic syndrome in Chinese adults aged 40 years and above based on BMI/HDL-C: a cross-sectional study.BMC endocrine disorders · 2024Article
- Association between body roundness index and risk of osteoarthritis: a cross-sectional study.Lipids in health and disease · 2024Article
- Biomarkers and Data Visualization of Insulin Resistance and Metabolic Syndrome: An Applicable Approach.Life (Basel, Switzerland) · 2024Article
- Discriminating insulin resistance in middle-aged nondiabetic women using machine learning approaches.AIMS public health · 2024Article
- Development and validation of a predictive nomogram for the risk of MAFLD in postmenopausal women.Frontiers in endocrinology · 2024Article
- Evaluation of Self-Management Behaviors and Its Correlation with the Metabolic Syndrome among the Type 2 Diabetes Mellitus Patients of Northern Saudi Arabia.Journal of clinical medicine · 2023Article
- The dynamic nexus: exploring the interplay of BMI before, during, and after pregnancy with Metabolic Syndrome (MetS) risk in Chinese lactating women.BMC public health · 2023Article
- Metabolic syndrome and the likelihood of knee pain and functional disability: evidence from a large middle eastern population-based study.BMC musculoskeletal disorders · 2023Article
- Performance of Body Fat Percentage, Fat Mass Index and Body Mass Index for Detecting Cardiometabolic Outcomes in Brazilian Adults.Nutrients · 2023Article
- Gender differences in metabolic syndrome and its components in southern china using a healthy lifestyle index: a cross-sectional study.BMC public health · 2023Article
- The association between body image perception and metabolic syndrome in normal-weight adults.PloS one · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of the study was to assess whether body mass index (BMI) can be used as a simple and reliable survey test for metabolic syndrome.The study is an observational cohort study among patients who visited the Rambam Periodic Examinations Institute (RPEI). We analyzed the correlation between obesity indices and presence of metabolic syndrome. We identified the ideal value of BMI for identification of patients at risk for metabolic syndrome. We also described the correlation between different BMI values and its negative predictive value (NPV) for metabolic syndrome.During the study years, 23,993 patients visited the RPEI, and 12.5% of them fulfilled the criteria for metabolic syndrome. Women with metabolic syndrome had higher proportion of obesity, when compared with men (89.9% vs 52.6%; P < .0001). Normal BMI had very high NPV to rule out metabolic syndrome among men and women (98% and 96%, respectively). Using receiver-operating characteristic curve, we found BMI 27 to be the ideal value for identification of metabolic syndrome for the entire cohort (area under the curve [AUC] 0.767, 95% confidence interval [CI] 0.758-0.775, P < .0001), for men (AUC 0.726, 95% CI 0.715-0.738, P < .0001), and for women (AUC 0.843, 95% CI 0.831-0.855, P < .0001). BMI below 30 provided NPV of 91.1% to rule out metabolic syndrome.The BMI as single survey measurement of obesity offers high NPV for metabolic syndrome and can be used by physician and patients for this purpose.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.