Evidence map›Paper›PMID 33402913›Full record

SynthesisAfrican health sciences2020

Analysis of main risk factors contributing to obesity in the region of East Africa: meta-analysis.

Lenka Mařincová, Simona Šafaříková, Radka Cahlíková

Abstract readMeta-Analysis
In one paragraph

Synthesis in African health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Then and Now: Investigating Anthropometrics and Child Mortality among Females in Malawi.International journal of environmental research and public health · 2022
    Article
  9. Article
  10. 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.

Lenka MařincováPalacky University Olomouc, Faculty of Science, Department of Development and Environmental Studies, Czech Republic.
Simona ŠafaříkováPalacky University Olomouc, Faculty of Science, Department of Development and Environmental Studies, Czech Republic.
Radka CahlíkováPalacky University Olomouc, Faculty of Science, Department of Development and Environmental Studies, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver a few decades obesity has become a major global health problem. Its prevalence worldwide has more than doubled since 1980. The situation is expected to worsen in the future, especially in the developing countries that experience nutrition transition due to economic growth. It contributes to reduction in malnutrition which supports an increase in obesity prevalence.

objectivesThe aim of this study was to analyse the predictors of obesity in the region of East Africa.

methodsMeta-analysis of existing studies was used in order to find the different risk factors and their significance in obesity development. Data extracted from 16 published academic research articles described the situation in East African countries. The significance of the effect of each variable was tested by means of an asymptotic chi-square test, or Fisher's exact (factorial) test and the risk ratios were calculated.

resultsBased on the chi-square test and the risk ratios of the aggregated data, three risk factors were found to be significant in the development of obesity - gender, type of residence and socio-economic status. In East African countries, women are significantly more likely to be obese. Living in an urban area and socioeconomic status are also positively associated with obesity. Because of insufficient data three other risk factors did not prove to be of any significance - alcohol consumption, smoking and education level.

conclusionConclusions of this meta-analysis confirm world trends but we also found results that are not in line with them (e.g. education). This meta-analysis confirms the huge existing research gap concerning obesity predictors in the East African region.

Indexed as

Psychological DistanceResidence CharacteristicsAdultAfrica, EasternFemaleHumansMaleObesityPrevalenceRisk FactorsSex DistributionSocioeconomic FactorsEast Africameta-analysisObesity

Identifiers

PMID33402913
PMCPMC7750060

What OpenQuestion holds

Textmetadata
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.