Evidence map›Paper›PMID 32345298›Full record

ArticleBMC public health2020

Exploring food insecurity and obesity in Dutch disadvantaged neighborhoods: a cross-sectional mediation analysis.

Laura A van der Velde, Claire J Nyns, Marije D Engel, Judith E Neter, Irene M van der Meer, Mattijs E Numans, Jessica C Kiefte-de Jong

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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 4 institutions in 1 country.

Laura A van der VeldeDepartment of Public Health and Primary Care / LUMC-Campus The Hague, Leiden University Medical Centre, The Hague, The Netherlands.ORCID https://orcid.org/0000-0002-7666-1572
Claire J NynsDepartment of Public Health and Primary Care / LUMC-Campus The Hague, Leiden University Medical Centre, The Hague, The Netherlands.
Marije D EngelDepartment of Public Health and Primary Care / LUMC-Campus The Hague, Leiden University Medical Centre, The Hague, The Netherlands.
Judith E NeterDepartment of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
Irene M van der MeerDepartment of Epidemiology, The Hague's Public Health Department (GGD Haaglanden), The Hague, The Netherlands.
Mattijs E NumansDepartment of Public Health and Primary Care / LUMC-Campus The Hague, Leiden University Medical Centre, The Hague, The Netherlands.ORCID https://orcid.org/0000-0002-0368-5426
Jessica C Kiefte-de JongDepartment of Public Health and Primary Care / LUMC-Campus The Hague, Leiden University Medical Centre, The Hague, The Netherlands. J.C.Kiefte@lumc.nl.ORCID https://orcid.org/0000-0002-8136-0918
Leiden University · NLGGD Haaglanden · NLLeiden University Medical Center · NLVrije Universiteit Amsterdam · NL

Funding

Municipally of The Hague Municipally of The Hague
6 · The paper itself

Abstract

backgroundFood insecurity is related to risk of adverse health outcomes such as obesity, but the explanatory factors underlying this association are still unclear. This study aimed to assess the association between food insecurity and obesity, and to explore potential mediation by sociodemographic and lifestyle factors.

methodsThis cross-sectional study was conducted among 250 participants in a deprived urban area in the Netherlands. Data on sociodemographic and lifestyle factors, food insecurity status and diet quality were collected using questionnaires. Diet quality was determined based on current national dietary guidelines. BMI was calculated from self-reported height and weight. Regression analyses were performed to explore the association between food insecurity and BMI status. Mediation analyses were performed to estimate the total-, direct-, and indirect effect and proportion of total effect mediated of the food insecurity-obesity association.

resultsThe overall prevalence of food insecurity was 26%. Food insecurity was associated with obesity (OR = 2.49, 95%CI = 1.16, 5.33), but not with overweight (OR = 1.15, 95%CI = 0.54, 2.45) in the unadjusted model. The food insecurity-obesity association was partially mediated by living situation (proportion mediated: 15.4%), diet quality (- 18.6%), and smoking status (- 15.8%) after adjustment for other covariates.

conclusionsThe findings of this study suggest an association between food insecurity and obesity. Living situation, diet quality and smoking status explained part, but not all, of the total association between food insecurity and obesity. Future longitudinal studies are warranted to examine the temporal order of the food insecurity-obesity association and potential mediators in this relationship. In addition, food insecurity and its potential consequences need to be taken into account in obesity prevention programs and policies.

Indexed as

AdultBody WeightCross-Sectional StudiesDietFemaleFood SupplyHumansMaleMiddle AgedNetherlandsObesityOverweightPrevalenceRegression AnalysisResidence CharacteristicsSurveys and QuestionnairesDiet qualityFood insecurityMediationObesityOverweight

Identifiers

PMID32345298
PMCPMC7189681
OpenAlexW3017844907

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.