Evidence map›Paper›PMID 34153079›Full record

ArticlePloS one2021

Magnitude, components and predictors of metabolic syndrome in Northern Ethiopia: Evidences from regional NCDs STEPS survey, 2016.

Kiros Fenta Ajemu, Abraham Aregay Desta, Asfawosen Aregay Berhe, Ataklti Gebretsadik Woldegebriel, Nega Mamo Bezabih, Degnesh Negash, Alem Desta Wuneh, Tewolde Wubayehu Woldearegay

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 32% of its field
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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  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. Article
  4. 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

8 authors at 1 institution in 1 country.

Kiros Fenta AjemuTigray Health Research Institute, Mekelle, Tigray, Ethiopia.ORCID 0000-0002-7608-0284
Abraham Aregay DestaTigray Health Research Institute, Mekelle, Tigray, Ethiopia.ORCID 0000-0002-1505-7451
Asfawosen Aregay BerheTigray Health Research Institute, Mekelle, Tigray, Ethiopia.
Ataklti Gebretsadik WoldegebrielTigray Health Research Institute, Mekelle, Tigray, Ethiopia.
Nega Mamo BezabihTigray Health Research Institute, Mekelle, Tigray, Ethiopia.
Degnesh NegashTigray Health Research Institute, Mekelle, Tigray, Ethiopia.
Alem Desta WunehCollege of Health Science, Mekelle University, Mekelle, Tigray, Ethiopia.
Tewolde Wubayehu WoldearegayTigray Health Research Institute, Mekelle, Tigray, Ethiopia.
Mekelle University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividuals with metabolic syndrome are five times more susceptible to chronic diseases. Assessment of its magnitude, components, and risk factors is essentials to deploy visible interventions needed to avoid further complications. The study aimed to assess magnitude, components, and predictors of metabolic syndrome in Tigray region northern Ethiopia, 2016.

methodsData were reviewed from Tigray region NCDs STEPs survey data base between May to June 2016. A total of 1476 adults aged 18-64 years were enrolled for the study. Multi-variable regression analysis was performed to estimate the net effect of size to risk factors associated with metabolic syndrome. Statistical significance was declared at p-value of ≤0.05 at 95% confidence interval (CI) for an adjusted odds ratio (AOR).

resultsThe study revealed that unadjusted and adjusted prevalence rate of Metabolic Syndrome (MetS) were (CPR = 33.79%; 95%CI: 31.29%-36.36%) and (APR = 34.2%; 95% CI: 30.31%-38.06%) respectively. The most prevalent MetS component was low HDL concentration (CPR = 70.91%; 95%CI: 68.47%-73.27%) and (APR = 70.61; 95%CI; 67.17-74.05). While; high fasting blood glucose (CPR = 20.01% (95%CI: 18.03-22.12) and (APR = 21.72; 95%CI; 18.41-25.03) was the least ones. Eating vegetables four days a week, (AOR = 3.69, 95%CI; 1.33-10.22), a salt sauce added in the food some times (AOR = 5.06, 95%CI; 2.07-12.34), overweight (AOR = 24.28, 95%CI; 10.08-58.47] and obesity (AOR = 38.81; 12.20-111.04) had strong association with MetS.

conclusionThe magnitude of metabolic syndrome was found to be close to the national estimate. Community awareness on life style modification based on identified MetS components and risk factors is needed to avoid further complications.

Indexed as

AdolescentAdultBlood GlucoseCholesterol, HDLDietEthiopiaFemaleHealth SurveysHumansMaleMetabolic SyndromeMiddle AgedObesityOverweightRisk FactorsSodium, DietaryBlood GlucoseCholesterol, HDLSodium, Dietary

Identifiers

PMID34153079
PMCPMC8216523
OpenAlexW3176497360

What OpenQuestion holds

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LicenceCC BY
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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.