Evidence map›Paper›PMID 30999659›Full record

ArticleInternational journal of environmental research and public health2019

Systemic Barriers and Equitable Interventions to Improve Vegetable and Fruit Intake in Children: Interviews with National Food System Actors.

Sarah Gerritsen, Sophia Harré, Boyd Swinburn, David Rees, Ana Renker-Darby, Ann E Bartos, Wilma E Waterlander

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 4 pooled it
2.7field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 4 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Causal Loop Diagrams of Food Systems, Diet, and Obesity: A Scoping Review of Methods, Contextual Factors, and Outcomes.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Combining Cognitive Mapping and indigenous knowledge to improve food environments in regional New Zealand.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Understanding obesity-related behaviors in youth from a systems dynamics perspective: The use of causal loop diagrams.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
    Review
  18. Article
  19. Article
  20. Environmental Influences on Food Behaviour.International journal of environmental research and public health · 2019
    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

7 authors at 3 institutions in 2 countries.

Sarah GerritsenSchool of Population Health, University of Auckland, Auckland 1142, New Zealand. s.gerritsen@auckland.ac.nz.
Sophia HarréSchool of Population Health, University of Auckland, Auckland 1142, New Zealand. sophia.harre@auckland.ac.nz.
Boyd SwinburnSchool of Population Health, University of Auckland, Auckland 1142, New Zealand. boyd.swinburn@auckland.ac.nz.
David ReesSynergia Consulting Ltd, Auckland 1011, New Zealand. david.rees@synergia.co.nz.
Ana Renker-DarbySchool of Population Health, University of Auckland, Auckland 1142, New Zealand. aren830@aucklanduni.ac.nz.
Ann E BartosSchool of Environment, University of Auckland, Auckland 1142, New Zealand. a.bartos@auckland.ac.nz.
Wilma E WaterlanderDepartment of Public Health, Amsterdam UMC, University of Amsterdam, 1105AZ Amsterdam, The Netherlands. w.e.waterlander@amc.uva.nl.
University of Auckland · NZAmsterdam University Medical Centers · NLStatistics New Zealand · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fruit and vegetable (FV) intake is declining in New Zealand, and over half of New Zealand's children do not meet the recommendation of two serves of fruit and three serves of vegetables daily (with even lower adherence among children in high-deprivation neighbourhoods). The aim of this study was to map the potential causal pathways explaining this decline and possible actions to reverse it. Semi-structured interviews were held in April-May 2018 with 22 national actors from the produce industry, food distribution and retail sector, government, and NGO health organisations. The qualitative systems dynamics method of cognitive mapping was used to explore causal relationships within the food system that result in low FV intake among children. Barriers and solutions identified by participants were analysed using thematic analysis and according to a public health intervention framework. Participants were in agreement with the goal of improving FV intake for health and economic outcomes, and that health promotion strategies had been ineffectual to date due to multiple systemic barriers. Common barriers discussed were poverty, high food prices, low skills/knowledge, unhealthy food environments, climate change, and urbanization. Solutions with the strongest evidence of efficacy identified by the participants were subsidizing FVs and early childhood interventions to improve FV exposure.

Indexed as

DietFruitVegetablesChildChild, PreschoolEatingFeeding BehaviorFemaleHealth PromotionHumansInterviews as TopicMaleNew ZealandPovertychild nutritionfood environmentfood systemfruit intakesystems dynamicsvegetable intake

Identifiers

PMID30999659
PMCPMC6518010
OpenAlexW2936557146

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.