Evidence map›Paper›PMID 34281010›Full record

ArticleInternational journal of environmental research and public health2021

Clustering of Lifestyle Risk Factors among Algerian Adolescents: Comparison between Urban and Rural Areas: GSHS Data.

Abdelhamid Kerkadi, Hissa Al Mannai, Dana Saad, Fatima Al Zahra Yakti, Grace Attieh, Hiba Bawadi

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
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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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Article
  5. Co-occurrence of non-communicable disease risk factors among adolescents in Jos, Nigeria.African journal of primary health care & family medicine · 2024
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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

6 authors.

Abdelhamid KerkadiHuman Nutrition Department, College of Health Sciences, QU-Health, Qatar University, Doha 2713, Qatar.
Hissa Al MannaiHuman Nutrition Department, College of Health Sciences, QU-Health, Qatar University, Doha 2713, Qatar.
Dana SaadHuman Nutrition Department, College of Health Sciences, QU-Health, Qatar University, Doha 2713, Qatar.
Fatima Al Zahra YaktiHuman Nutrition Department, College of Health Sciences, QU-Health, Qatar University, Doha 2713, Qatar.
Grace AttiehHuman Nutrition Department, College of Health Sciences, QU-Health, Qatar University, Doha 2713, Qatar.
Hiba BawadiHuman Nutrition Department, College of Health Sciences, QU-Health, Qatar University, Doha 2713, Qatar.ORCID 0000-0003-1499-5646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCompare the clustering of LBRs between urban and rural Algerian adolescents.

designData of this cross-sectional study was derived from the Global School-based Health Survey (GSHS). A self-administered, anonymous questionnaire was filled out by 4532 adolescents (11-16 years), which addressed LBRs of NCDs. Life style behavioral risk factors (LBRs) clustering was measured by the ratios of observed (O) and expected (E) prevalence of one or more simultaneously occurring LBRs for urban and rural areas separately. Multivariate logistic regression was performed to examine the association of LBRs as dependent variable with demographic variables (location, age, gender).

resultsThe most common LBR was physical inactivity (84.6%: 50.9% for urban and 49.1% for rural). Adolescents in urban areas had a higher prevalence of two (56.8% vs. 43.2%) and three and more (61.3% vs. 38.7%) LBRs than in rural areas. In urban areas, a significant positive association was found between (low fruit and vegetable consumption + physical inactivity) [2.06 (1.61-2.64)] and (high SB + smoking) [2.10 (1.54-2.76)], while (physical inactivity + high SB) [0.70 (0.54-0.91)] showed a significant negative association. In rural areas, (high SB + overweight/obesity) [1.49 (1.09-2.04)] had a significant positive association. While, (low fruit and vegetable consumption + high SB) [0.75 (0.60-0.94)], (physical inactivity + high SB) [0.65 (0.49-0.86)], and (physical inactivity + smoking) [0.70 (0.49-0.99)] had a negative association.

conclusionsSeveral socio-demographic factors have been identified to play a role in LBRs clustering among Algerian adolescents. Results of the study suggest the development of intervention aiming to tackle different LBRs rather than focusing on a single LBR.

Indexed as

Life StyleRural PopulationAdolescentCluster AnalysisCross-Sectional StudiesHealth SurveysHumansPrevalenceRisk FactorsSchoolsSurveys and QuestionnairesUrban PopulationadolescentsAlgerian lifestylebehavior risk factorsclustering of LBRsGSH surveyruralurban

Identifiers

PMID34281010
PMCPMC8297194

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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.