Cited by 26Diabetes, Cardiovascular Risks, and LipoproteinsDiet, Metabolism, and DiseaseAdipokines, Inflammation, and Metabolic Diseases

High Prevalence of Metabolic Syndrome and Its Related Demographic Factors in North of Iran: Results from the PERSIAN Guilan Cohort Study

Open access
Naghipour, Mohammadreza, Joukar, Farahnaz, Nikbakht, Hossein-Ali, Hassanipour, Soheil, Asgharnezhad, Mehrnaz, Arab-Zozani, Morteza, Mansour-Ghanaei, Fariborz·2021·International Journal of Endocrinology

Abstract

Introduction. The prevalence of metabolic syndrome has increased in recent decades around the world and is currently reaching epidemic levels as it is a major public health and clinical concern. The aim of this study was to evaluate the prevalence of metabolic syndrome and its related demographic factors in a population-based study. Methods. In this cross-sectional study, the target population consisted of 10520 individuals aged 35–70 years in Phase 1 of the Persian Guilan cohort study (Guilan site/Some’e Sara) that was conducted in 2014–2017. Demographic, anthropometric, blood pressure, and biochemical data were used in this study. The IDF definitions were used to diagnose the metabolic syndrome. Results. The prevalence of the syndrome according to IDF and ATP definition was 42.87% (95% CI: 41.92–41.81) and 40.68% (95% CI: 39.74–41.62), respectively. The prevalence of components for central obesity, high triglyceride, HDL cholesterol, blood glucose, and hypertension components was 75.8%, 43.1%, 40.6%, 39.2% and 37.9%, respectively. All demographic variables were related to the syndrome, and among them age, gender, and residence were identified as independent and strong predictive variables in the regression model. More than 92% of the population had at least one component of the syndrome. Conclusion. The results of the study show a high prevalence of metabolic syndrome risk factors. It is essential to educate healthy lifestyle behaviors and further health education in the high-risk groups identified in this study, especially the elderly, women, and rural residents.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1155/2021/8862456

Cites

55 of 55 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The risk or prevalence of metabolic syndrome increases with age.

    “Data from the National Institute of Health (NIH) indicate that the risk of MetS also increases with age [4].”

    From Machine learning with the body roundness index and associated indicators: a new approach to predicting metabolic syndrome (2025) · cites this paper as [4]

    The Results report that metabolic syndrome prevalence increased with age in the Guilan cohort, and the Discussion also describes an age-related increase in an American survey. The cited paper does not identify the National Institutes of Health (NIH) as the source of those data, so the sentence’s NIH attribution is not supported. (LLM, conf=0.85)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Naghipour, M., Joukar, F., Nikbakht, H.-A., Hassanipour, S., Asgharnezhad, M., Arab-Zozani, M., & Mansour-Ghanaei, F.
Affiliations
  • Guilan University of Medical Sciences (IR)
  • Babol University of Medical Sciences (IR)
  • Social Determinants of Health Research Center, Birjand University of Medical Sciences, Birjand, Iran
  • Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
Venue
International Journal of Endocrinology
Publisher
Wiley
Published
2021-03-29
Volume
2021
Pages
1-9
ISSN
  • 1687-8337 (ISSN-L)
  • 1687-8345
OpenAlex
W3150755627
Cited by
26
References
55
Citations by year
2025: 5 · 2024: 9 · 2023: 3 · 2022: 9
FWCI
3.92
Type
journal article
Language
en
Open access
Locations
  • International Journal of Endocrinology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
  • Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
Keywords
metabolic syndrome, prevalence, demographic factors, abdominal obesity, hypertriglyceridemia, low HDL cholesterol, impaired fasting glucose, hypertension, age, sex differences, rural residence, Gilan, Iranian adults

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review