Evidence map›Paper›PMID 30703130›Full record

ArticlePloS one2019

Metabolic syndrome among residents of Mizan-Aman town, South West Ethiopia, 2017: A cross sectional study.

Sitotaw Kerie, Melak Menberu, Mathewos Geneto

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 4 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

17 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. The Magnitude of NCD Risk Factors in Ethiopia: Meta-Analysis and Systematic Review of Evidence.International journal of environmental research and public health · 2022
    Pooled it
  3. Pooled it
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  5. Review
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  15. Magnitude and Associated Factors of Metabolic Syndrome Among Adult Urban Dwellers of Northern Ethiopia.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
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  16. Article
  17. Metabolic Syndrome Among Working Adults in Eastern Ethiopia.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    Article
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

3 authors.

Sitotaw KerieDepartment of Nursing, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Melak MenberuDepartment of psychiatry, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Mathewos GenetoDepartment of Medicine, College of Medicine and Health Sciences, Wachemo University, Hossana, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGlobally, it is estimated that around 20-25% adult population has metabolic syndrome. Individuals who have metabolic syndrome are up to five times more susceptible for chronic diseases than those who have no metabolic syndrome. In Ethiopia there is no sufficient information regarding the magnitude and factors of metabolic syndrome. The aim of this study is to assess prevalence and associated factors of metabolic syndrome among residents of Mizan-Aman town, South West, Ethiopia.

methodsThe community based cross-sectional study was held at Mizan-Aman town residents. Systematic random sampling was employed to select each household and lottery method was used to select one individual from the household. Data were cleaned, coded and entered by EPI-INFO version 3.5.4 and were transported to SPSS version 20 for further analysis. To indicate the strength of association, odds ratios (OR) and 95% confidence intervals (95% CI) were used.

resultsIn this study from a total of 558 respondents 534 were completed the interview correctly, which gives a response rate of 95.7%. The overall prevalence of metabolic syndrome was 9.6%. Multivariate logistic regression revealed that physical inactivity [AOR = 2.61, 95% CI (1.22, 5.58)], age from 18 to 28 years [AOR = 0.36, 95% CI (0.14, 0.90)], being male [AOR = 0.46, 95% CI (0.22, 0.96)] and educational status with cannot write and read [AOR = 0.15, 95% CI (0.04,0.53)], from grade 1 to 8 [AOR = 0. 17, (0.11,0.55)], from grade 9 to12 [AOR = 0.11, (0.03, 0.38)] and from diploma to degree [AOR = 0. 13, (0.01, 0.36)] were significantly associated with metabolic syndrome.

conclusionThe prevalence of metabolic syndrome in this study was found to be high. Age, physical activity, educational status and sex were significantly associated with metabolic syndrome. Physical activity was found to be the means of metabolic syndrome prevention.

Indexed as

AdolescentAdultAge FactorsCross-Sectional StudiesEducational StatusEthiopiaExerciseFemaleHumansLogistic ModelsMaleMetabolic SyndromeMiddle AgedPrevalenceRisk FactorsSex Factors

Identifiers

PMID30703130
PMCPMC6354988

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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.