Evidence map›Paper›PMID 33116730›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020

Validity of Anthropometric Cut-Offs for Early Diagnosis of Dyslipidemia Among Ethiopian Adults.

Sileshi Kenate, Temamen Tesfaye, Solomon Berhanu Mogas, Belay Zawdie, Yonas Tesfaye, Lelisa Sena Dadi, Mulualem Tadesse, Ayantu Kebede, Esayas Kebede Gudina, Dessalegn Tamiru

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Sileshi KenateJimma Town Health Office, Jimma, Ethiopia.
Temamen TesfayeSchool of Nursing, Jimma University, Jimma, Ethiopia.ORCID 0000-0002-5907-9863
Solomon Berhanu MogasDepartment of Epidemiology, Jimma University, Jimma, Ethiopia.ORCID 0000-0002-7445-537X
Belay ZawdieDepartment of Nutrition and Dietetics, Jimma University, Jimma, Ethiopia.
Yonas TesfayeSchool of Nursing, Jimma University, Jimma, Ethiopia.ORCID 0000-0002-6707-9900
Lelisa Sena DadiDepartment of Epidemiology, Jimma University, Jimma, Ethiopia.ORCID 0000-0002-5232-3771
Mulualem TadesseDepartment of Medical Laboratory Sciences, Jimma University, Jimma, Ethiopia.
Ayantu KebedeDepartment of Epidemiology, Jimma University, Jimma, Ethiopia.
Esayas Kebede GudinaDepartment of Internal Medicine, Jimma University, Jimma, Ethiopia.ORCID 0000-0002-6264-9695
Dessalegn TamiruDepartment of Nutrition and Dietetics, Jimma University, Jimma, Ethiopia.ORCID 0000-0002-9534-031X
Jimma University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLack of regional- and local-based cut-off points of lipid profile and/or anthropometric measurements remains one of the challenges in prevention, early detection and control of non-communicable diseases. This study aimed to validate anthropometric-based screening of lipid profiles to develop locally appropriate optimal cut-off points for metabolic syndrome screening.

methodsA community-based cross-sectional study was conducted among randomly selected 977 adults in Jimma Town, Ethiopia. Data were collected using structured questionnaire, anthropometric and biochemical measurements. Data were analyzed using SPSS windows version 21 and Kappa statistic was used to validate the agreement between anthropometric measurement and lipid profile. A p-value of <0.05 was considered statistically significant.

resultsBody mass index (BMI) at ≥24.5 was used as screening of dyslipidemia (TG≥150mg/dl) with slight Kappa coefficient of 0.138 (P<0.001) among females while it was ≥22.2 among males with fair (0.275) Kappa coefficient (P<0.001). Waist circumference-based screening of dyslipidemia (TG≥150mg/dl) at ≥78.0cm had negative (-0.005) Kappa coefficient (Pp<0.001) among females (sensitivity: 72.6% and specificity: 26.7%). Yet, waist circumference at ≥83.7cm had slight Kappa coefficient of 0.13 (P<0.005) among males (sensitivity: 38% and specificity: 74.9%). Waist hip ratio-based screening of dyslipidemia (TG≥150mg/dl) at ≥0.82 among females had negative (-0.001) Kappa coefficient (p=0.763), whereas among males at ≥0.88, there was a slight (0.105) Kappa coefficient of (p=0.002) (sensitivity:77.5% and specificity:36.8%). This study showed that anthropometric-based high-density lipoprotein measurement was not applicable.

conclusionThis study indicated that BMI-based screening of triglyceride was more applicable for both sexes than other anthropometric measurements. Waist circumference and waist-to-hip ratio-based screening of triglyceride were slightly applicable only for males. However, anthropometric-based screening of high-density lipoprotein measurement was not applicable for both sexes. In conclusion, researchers and policy makers need to consider locally validated cut-off points to be used for screening metabolic syndrome in the community.

Indexed as

anthropometric measurementsJimmalipid profilemetabolic syndrome

Identifiers

PMID33116730
PMCPMC7585828
OpenAlexW3093197280

What OpenQuestion holds

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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.