Evidence map›Paper›PMID 39574052›Full record

ArticleBMC public health2024

Clustering of diet and physical activity behaviours in adolescents across home and school area-level deprivation in Cameroon, South Africa, and Jamaica.

Yves Wasnyo, Lambed Tatah, Feyisayo A Wayas, Clarisse Mapa-Tassou, Jian'an Luan, Lisa K Micklesfield, Joanne A Smith, Colin Farr, Louise Foley, Estelle V Lambert and 3 more

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

13 authors.

Yves WasnyoHealth of Population in Transition, University of Yaoundé 1, Yaounde, Cameroon. yves.wasnyo@fmsb-uy1.cm.
Lambed TatahHealth of Population in Transition, University of Yaoundé 1, Yaounde, Cameroon.
Feyisayo A WayasDepartment of Human Biology, Division of Physiological Sciences, Research Centre for Health through Physical Activity, Lifestyle and Sport (HPALS), Faculty of Health Sciences, University of Cape Town, Cape Town, 7700, South Africa.
Clarisse Mapa-TassouHealth of Population in Transition, University of Yaoundé 1, Yaounde, Cameroon.
Jian'an LuanMedical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Lisa K MicklesfieldSAMRC-Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Joanne A SmithEpidemiology Research Unit, Caribbean Institute for Health Research, The University of the West Indies, Mona, Kingston, Jamaica.
Colin FarrMedical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Louise FoleyMedical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
Estelle V LambertDepartment of Human Biology, Division of Physiological Sciences, Research Centre for Health through Physical Activity, Lifestyle and Sport (HPALS), Faculty of Health Sciences, University of Cape Town, Cape Town, 7700, South Africa.
Jean Claude MbanyaHealth of Population in Transition, University of Yaoundé 1, Yaounde, Cameroon.
Felix AssahHealth of Population in Transition, University of Yaoundé 1, Yaounde, Cameroon.
Tolu OniMedical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.

Funding

National Institute for Health and Care Research 16/137/34
6 · The paper itself

Abstract

backgroundAdolescence is a crucial period for establishing healthy behaviours that can reduce the risk of noncommunicable diseases. However, limited data exist on the clustering of health-related behaviours, in adolescents from low- and middle-income countries (LMICs). This study examined how diet and physical activity behaviours cluster and how they are influenced by home and school area-level deprivation.

methodsThe study surveyed 527 adolescents in Yaoundé (Cameroon), Kingston (Jamaica), and Cape Town (South Africa) and grouped them into three categories according to the socioeconomic status (SES) of their homes and school areas (low-low, low-high, and high-high). A k-median algorithm defined three clusters and measured dietary attributes including Dietary Habit Score (DHS), Healthy Food Score (HFS), Nutritional Knowledge Questionnaire (NKQ), moderate-to-vigorous physical activity (MVPA), and sedentary time using validated questionnaires. The clusters were ranked based on their physical activity levels and compared them within each city using statistical tests.

resultsThe scores on the NKQ and HFS indicated a poor level of both nutritional knowledge and healthy food consumption across sites. Cluster analysis revealed a consistent pattern of high screen time clustering with lower (less healthy) dietary scores across sites. This pattern was consistent regardless of SES in Kingston, and SES and school socioeconomic areas in Cape Town and Yaoundé.

conclusionAn inverse clustering of sedentary behaviour duration and eating habits remained consistent across different strata for at least two sites, suggesting that interventions to reduce sedentary time could have a ripple effect on multiple NCD risk factors in adolescence.

Indexed as

DietExerciseAdolescentAdolescent BehaviorCameroonChildCluster AnalysisFemaleHealth BehaviorHumansMaleSchoolsSedentary BehaviorSouth AfricaSurveys and QuestionnairesActivityAdolescentsClusteringDeprivationDiet

Identifiers

PMID39574052
PMCPMC11580344

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.