Evidence map›Paper›PMID 23671434›Full record

ArticleArchives of medical science : AMS2013

Metabolic syndrome prevalence according to ATP III and IDF criteria and related factors in Turkish adults.

Kursat Gundogan, Fahri Bayram, Vedia Gedik, Ahmet Kaya, Ahmet Karaman, Ozgür Demir, Tevfik Sabuncu, Derya Kocer, Ramazan Coskun

Registry-linked trialAbstract read
In one paragraph

Article in Archives of medical science : AMS, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01914640 (The Cross Sectional Study to Investigate the Waist Circumference Cut Off Points for the Prediction of Overweight and Obesity of the Turkish Adult Population), which is not on this map. Cited by 50 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 7 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.

NCT01914640 completednot on this map

The Cross Sectional Study to Investigate the Waist Circumference Cut Off Points for the Prediction of Overweight and Obesity of the Turkish Adult Population

TypeobservationalSponsorTC Erciyes UniversityRan2003 to 2005Enrolled4,310ConditionsThe Focus of Study is to Determine the Waist Circumference Values to Predict Overweight or Obesity
3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  19. Association of NADFrontiers in endocrinology · 2023
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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

9 authors.

Kursat GundoganDepartment of Intensive Care, Faculty of Medicine, Erciyes University, Kayseri, Turkey.
Fahri Bayram
Vedia Gedik
Ahmet Kaya
Ahmet Karaman
Ozgür Demir
Tevfik Sabuncu
Derya Kocer
Ramazan Coskun

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe aim of this study is to investigate the prevalence of metabolic syndrome (MS) and its components according to Adult Treatment Panel III (ATP III) and International Diabetes Federation (IDF) criteria and the risk factors affecting MS. Metabolic syndrome prevalence was evaluated according to certain quintet age groups, altitude, location and demographic features. MATERIAL AND

methodsThis study was a cross-sectional survey conducted in 24 provinces from the 7 regions of Turkey. A total of 4309 adults from 7 regions participated in the study (1947 males, 45.2%).

resultsThe mean age of participants was 47 ±14 years. Metabolic syndrome prevalence was found as 36.6% according to ATP III and 44.0% according to IDF. The MS rate was found to be higher in females compared to males in both groups (p < 0.01). According to both criteria, MS prevalence was found to be higher in subjects who lived in coastal regions when evaluated according to altitude and in subjects who lived in district centers when evaluated according to location. The MS risk is 1.62-fold higher in females compared to males. Metabolic syndrome risk increases as age increases and is highest in the 61-65 age group. Metabolic syndrome risk increases 2.75-fold in the overweight compared to normal weighing subjects and 7.80-fold in the obese.

conclusionsMetabolic syndrome prevalence was found to be high in Turkey according to both criteria. Metabolic syndrome prevalence increases as age and body mass index (BMI) increase. Age, female gender and obesity are independent risk factors for MS development.

Indexed as

age groupsaltitudemetabolic syndrome

Identifiers

PMID23671434
PMCPMC3648836

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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 OpenQuestion graph.