Evidence map›Paper›PMID 37279250›Full record

ArticlePloS one2023

A facility-based study of lipids, glucose levels and their correlates among pregnant women in public hospitals of northern Ethiopia.

Gebregziabher Berihu, Mengistu Mitiku, Selamawit Asfaw Beyene, Letekirstos Gebregziabher, Yohana Gebregiorgis, Mulu Eyasu, Molla Teferi, Tsegay Wellay, Alemtsehay Tewele, Mussie Tesfay Atsbeha

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. 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
1.2field-weighted citation impact, top 21% 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.

Gebregziabher BerihuDepartment of Health Systems, School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.ORCID 0000-0003-2542-2536
Mengistu MitikuDepartment of Health Systems, School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.ORCID 0000-0002-1828-5679
Selamawit Asfaw BeyeneDepartment of Public Health Nutrition and Dietetics, School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Letekirstos GebregziabherDepartment of Biostatistics, School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Yohana GebregiorgisDepartment of Health Systems, School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Mulu EyasuDepartment of Environmental Health and Behavioural Sciences, School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Molla TeferiDepartment of Reproductive Health, School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Tsegay WellayDepartment of Health Systems, School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Alemtsehay TeweleDepartment of Health Systems, School of Public Health, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Mussie Tesfay AtsbehaDepartment of Anaesthesia, School of Medicine, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Mekelle University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLipids and glucose concentrations in the blood rise during pregnancy period. Poor control of these analytes results in cardio metabolic dysfunction. Despite this, there are no documented studies which investigate lipids and glucose among pregnant women in Tigrai, northern Ethiopia.

objectiveThe objective of this study was to assess lipid and glucose levels and identify their correlates among pregnant women in Tigrai, northern Ethiopia.

methodWe conducted a facility-based cross sectional study comprising of systematically selected 200 pregnant women from July to October 2021. Those who were severely ill were excluded from the study. We used a structured questionnaire to collect socio-demographic and clinical characteristics of pregnant women. Lipids such as triglycerides, low density lipoprotein, cholesterol and blood glucose were also measured using Cobas C311 chemistry machine from plasma samples. The data were analyzed using SPSS version 25. Logistic regression was performed and statistical significance was declared at p-value < 0.05.

resultProportion of pregnant women with cholesterol, triglyceride, low density lipoprotein and blood glucose levels above the upper limit of the normal range used for clinical decision were 26.5%, 43%, 44.5% and 21%, respectively. Pregnant women's income > = 10,000 ETB (AOR = 3.35; 95%CI: 1.46-7.66), age (AOR = 3.16; 95%CI: 1.03-9.68), gestational age 29-37 weeks (AOR = 8.02; 95%CI: 2.69-23.90) and having systolic blood pressure greater than 120 mmHg (AOR = 3.99; 95%CI: 1.64-9.75) demonstrated statistically significant association with raised levels of lipids. CONCLUSION AND RECOMMENDATION: Proportion of pregnant women with out of normal range values of lipids, particularly triglycerides and low density lipoprotein, is high. Gestational age is a strong predictor of increase in blood levels for both lipids. Provision of life style related health education and dietary intake to pregnant mothers matters. Moreover, monitoring lipid profile and glucose level during antenatal care period is essential.

Indexed as

Blood GlucosePregnant PeopleCholesterolCross-Sectional StudiesEthiopiaFemaleHospitals, PublicHumansInfantLipoproteins, LDLPregnancyPrenatal CareTriglyceridesBlood GlucoseCholesterolLipoproteins, LDLTriglycerides

Identifiers

PMID37279250
PMCPMC10243621
OpenAlexW4379537233

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.