Evidence map›Paper›PMID 30466421›Full record

ArticleNutrition journal2018

Optimal cut-off for obesity and markers of metabolic syndrome for Ethiopian adults.

Makeda Sinaga, Meron Worku, Tilahun Yemane, Elsah Tegene, Tolassa Wakayo, Tsinuel Girma, David Lindstrom, Tefera Belachew

Open access · goldAbstract read
In one paragraph

Article in Nutrition journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

41 citing papers in PubMed, 78 citations in OpenAlex.

  1. Trial
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  5. Definition and diagnostic criteria of clinical obesity.The lancet. Diabetes & endocrinology · 2025
    Review
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  19. Metabolic Obesity in People with Normal Body Weight (MONW)-Review of Diagnostic Criteria.International journal of environmental research and public health · 2022
    Review
  20. 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 3 institutions in 2 countries.

Makeda SinagaHuman Nutrition Unit, Faculty of public Health, Jimma University, PO.BOX: 378, Jimma, Southwest, Ethiopia.
Meron WorkuCollege of Health Sciences, Wolkite University, Welkite, Ethiopia.
Tilahun YemaneFaculty of Health Sciences, Department of Laboratory Sciences, Jimma University, Jimma, Ethiopia.
Elsah TegeneDepartment of Internal Medicine, Faculty of Medicine, Jimma University, Jimma, Ethiopia.
Tolassa WakayoHuman Nutrition Unit, Faculty of public Health, Jimma University, PO.BOX: 378, Jimma, Southwest, Ethiopia.
Tsinuel GirmaDepartment of Paediatrics and Child Health, Faculty of Medicine, Jimma University, Jimma, Ethiopia.
David LindstromPopulation Studies Centre, Brown University, Providence, USA.
Tefera BelachewHuman Nutrition Unit, Faculty of public Health, Jimma University, PO.BOX: 378, Jimma, Southwest, Ethiopia. teferabelachew@gmail.com.
Jimma University · ETBrown University · USWolkite University · ET

Funding

Science/Technical CoreP2CHD041020 · NICHD · BROWN UNIVERSITY · PI Margot Jackson · 2016 to 2026
$7.6M
NICHD NIH HHS P2C HD041020
6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) is defined as the presence of central obesity plus any two of the following markers: high triglycerides (> 150 mg/dl), low high density lipoprotein (HDL) cholesterol < 40 mg/dl in men and < 50 mg/dl in women, hypertension (blood pressure > 130/85 mmHg or use of antihypertensive medication), high fasting blood glucose (> 100 mg/dl or use of treatment for diabetes mellitus). Since recently, metabolic syndrome and obesity have become emerging problems of both low and middle income countries, although they have been the leading cause of morbidity and mortality in high income countries for the past decades. It has been indicated that the international anthropometric cut-off for detecting obesity is not appropriate for Ethiopians. This study developed optimal cut off values for anthropometric indicators of obesity and markers of metabolic syndrome for Ethiopian adults to enhance preventive interventions.

methodsA total of 704 employees of Jimma University were randomly selected using their payroll as a sampling frame. Data on socio-demographic, anthropometry, clinical and blood samples were collected from February to April 2015. Receiver Operating Characteristic Curve analyses were used to determine optimal anthropometric cut-off values for obesity and markers of the metabolic syndrome. WHO indicators of obesity based on body fat percent (> 25% for males and > 35% for females) were used as binary classifiers for developing anthropometric cut-offs. Optimal cut-off values were presented using sensitivity, specificity and area under the curve.

resultsThe optimal cut-off for obesity using body mass index was 22.2 k/m

conclusionThe optimal anthropometric cut-offs for obesity and markers of metabolic syndrome in Ethiopian adults are lower than the international values. The findings imply that the international cut-off for WC, WHtR, WHR and BMI underestimate obesity and metabolic syndrome markers among Ethiopian adults, which should be considered in developing intervention strategies. It is recommended to use the new cut-offs for public health interventions to curb the increasing magnitude of obesity and associated metabolic syndrome and diet related non-communicable diseases in Ethiopia.

Indexed as

AdultBiomarkersBlood GlucoseCholesterolEthiopiaFemaleHumansHypertensionLipoproteinsMaleMetabolic SyndromeMiddle AgedObesityRisk FactorsTriglyceridesYoung AdultBiomarkersBlood GlucoseCholesterolLipoproteinsTriglyceridesCut-offEthiopiaMetabolic SyndromeObesity

Identifiers

PMID30466421
PMCPMC6251157
OpenAlexW2901855388

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.