Evidence map›Paper›PMID 27515802›Full record

ArticleBMC public health2016

Community readiness for adolescents' overweight and obesity prevention is low in urban South Africa: a case study.

Rebecca Pradeilles, Emily K Rousham, Shane A Norris, Joanna M Kesten, Paula L Griffiths

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
16.0field-weighted citation impact, top 1% 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

12 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

5 authors at 3 institutions in 2 countries.

Rebecca PradeillesFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK. rebecca.pradeilles@lshtm.ac.uk.ORCID 0000-0003-0334-3714
Emily K RoushamCentre for Global Health and Human Development, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.
Shane A NorrisMRC/Wits Developmental Pathways for Health Research Unit, University of the Witwatersrand, Johannesburg, South Africa.
Joanna M KestenNIHR Collaboration for Leadership in Applied Health Research and Care West (NIHR CLAHRC West) at University Hospitals Bristol NHS Foundation Trust, Bristol, UK.
Paula L GriffithsCentre for Global Health and Human Development, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.
Loughborough University · GBUniversity of the Witwatersrand · ZAUniversity Hospitals Bristol NHS Foundation Trust · GB

Funding

Medical Research Council
6 · The paper itself

Abstract

backgroundSouth Africa is undergoing epidemiological and nutrition transitions with associated increases in the incidence of overweight, obesity and diet-related chronic diseases. With the emergence of the nutrition transition in South Africa, there is an urgent need for interventions to prevent overweight and obesity in children and adolescents as risk factors for chronic diseases in adolescence may track throughout later life. This research explored the potential for faith-based organisations (FBOs) to be used as community organisations for overweight and obesity prevention interventions in adolescents by assessing the readiness of religious leaders to engage in such interventions.

methodsSurveys and focus group discussions (FGDs) were conducted with 51 religious leaders in Johannesburg and Soweto. The Community Readiness Model (CRM) survey was chosen to determine the stage of readiness of this community regarding overweight and obesity prevention. Six different dimensions were assessed in the CRM (community efforts, knowledge of efforts, leadership, community climate, knowledge of the issue, resources). The surveys were scored according to the CRM protocol. The survey data were supplemented with findings from FGDs. Thematic analysis was used to analyse the FGDs.

resultsThe mean community readiness score was 2.57 ± 0.76 which equates with the "denial/resistance stage". The mean readiness score for resources was the highest of all the dimensions (3.77 ± 0.28), followed by knowledge of the issue (3.20 ± 0.51). The lowest score was seen for community knowledge of efforts (1.77 ± 1.50), followed by community climate (2.00 ± 0.64). FGDs helped interpret the CRM scores. FGDs showed that religious leaders were enthusiastic and recognised that their role was not limited solely to spiritual guidance and mentoring, but also to physical well-being.

conclusionsReligious leaders recognised that they act as role models within the community and thus have a role to play in improving adolescent health. They have some knowledge about the overweight/obesity issue and some of the resources could be made available to support overweight/obesity prevention-related initiatives. However, the low community knowledge of efforts and the negative prevailing attitude of the community towards overweight and obesity highlight the need to increase awareness of this issue prior to implementing initiatives on overweight and obesity prevention.

Indexed as

AdolescentChildCommunity Health ServicesFemaleFocus GroupsHumansLeadershipModels, OrganizationalOrganizational Case StudiesPediatric ObesityPreventive Health ServicesQualitative ResearchReligious PersonnelSouth AfricaSurveys and QuestionnairesUrban Health ServicesAdolescentsChurch-based interventionsCommunity readinessObesityOverweightSouth AfricaUrban

Identifiers

PMID27515802
PMCPMC4982405
OpenAlexW2518462103

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.