Evidence map›Paper›PMID 39780109›Full record

SynthesisBMC endocrine disorders2025

Prevalence of metabolic syndrome and its components in Iran: an updated meta-analysis.

Asra Moradkhani, Pardis Mohammadzadeh, Srwa Assadi, Lotfolah Saed, Hamid Reza Baradaran, Yousef Moradi

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC endocrine disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
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  6. Article
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  8. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Asra MoradkhaniStudent of the Research Committee, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Pardis MohammadzadehDepartment of Epidemiology and Biostatistics, Faculty of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Srwa AssadiStudent of the Research Committee, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Lotfolah SaedDepartment of Endocrinology, Faculty of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Hamid Reza BaradaranDepartment of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Yousef MoradiSocial Determinants of the Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran. Yousefmoradi211@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConsidering, the changes in lifestyle during the last decade the main aim of this study was to investigate the pooled prevalence of metabolic syndrome (MetS) and its components in Iran.

methodsFor implementing a comprehensive search strategy related to the objectives of the present meta-analysis, all international databases like PubMed (Medline), Scopus, Embase, Web of Sciences (Elsevier), and CINHAL were searched up to January 2024. The quality of the final selected studies was evaluated according to the Joanna Briggs Institute Critical Appraisal (JBI) tool for analytical cross-sectional studies. The subgroup analysis was performed based on gender, province, area, criteria of diagnosis, and components of metabolic syndrome. All of the analyses were carried out in STATA version 17.

resultsAmong 2,034 relevant primary studies, 194 articles were entered into the meta-analysis. the prevalence of MetS in Iran was assessed using various criteria. The overall pooled prevalence was (31%, 95% CI: 28-34%), with a higher occurrence in females and individuals aged over 65 years. The central region, particularly Qom, reported the highest prevalence, while Tehran had the lowest. Low HDL cholesterol and waist circumference were the most common MetS components. The study provides critical data for health policy and intervention strategies in Iran.

conclusionHigher rates in females and the elderly and the predominance of low HDL cholesterol and waist circumference as MetS components call for targeted public health interventions. These insights are pivotal for formulating strategic health policies to mitigate MetS and its impact on the Iranian population.

Indexed as

Metabolic SyndromeCross-Sectional StudiesFemaleHumansIranMalePrevalenceRisk FactorsWaist CircumferenceEvidence synthesisIranMetabolic syndromePrevalence

Identifiers

PMID39780109
PMCPMC11708075

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.