Evidence map›Paper›PMID 34578946›Full record

ArticleNutrients2021

Using Community-Based Prevention Marketing to Generate Demand for Healthy Diets in Jordan.

Rowena K Merritt, Jacqueline de Groot, Lama Almajali, Nitesh Patel

Abstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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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

4 authors.

Rowena K MerrittWorld Food Programme, Regional Bureau Cairo, Egypt & University of Kent, Canterbury CT2 7NZ, UK.ORCID 0000-0001-7767-0991
Jacqueline de GrootWorld Food Programme, Jordan Country Office, Amman 11193, Jordan.
Lama AlmajaliWorld Food Programme, Jordan Country Office, Amman 11193, Jordan.
Nitesh PatelWorld Food Programme, Regional Bureau Cairo, Cairo 11728, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Jordan has been experiencing a nutrition transition with high rates of micronutrient deficiencies and rising overweight and obesity rates. This highlights the need to generate demand for healthy diets. This study used a community-based prevention marketing approach and worked with local communities as partners to develop a set of behavior change interventions to improve healthy eating within vulnerable communities. Individual, family, and paired-friendship interviews, and co-creation workshops were conducted with 120 people. The aim of these interviews was to gain an in-depth understand of school-aged children and their families' nutrition knowledge, attitudes, and practices, including social and cultural norms and behavioral determinants, and then use this information to co-create interventions, activities and materials targeted at supporting school-aged child nutrition. Analysis of the interviews revealed that dietary habits are both deeply personal and profoundly entwined by emotions and social norms, and that parents often gave in to their children's demands for unhealthy foods and beverages due to their perception of what a 'good parent' looks like and the desire to see their child 'smile'. These key insights were then shared during the co-creation workshops to develop behavior change interventions-ensuring that interventions were developed by the community, for the community.

Indexed as

Social MarketingAdolescentAdultAgedChildChild Nutrition DisordersChild, PreschoolCommunity ParticipationDiet, HealthyFemaleHealth PromotionHumansInterviews as TopicJordanMaleMiddle Agedcommunity-based prevention marketingJordanmalnutritionsocial behavior change communicationsUnited Nations

Identifiers

PMID34578946
PMCPMC8464799

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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.