Evidence map›Paper›PMID 28447202›Full record

ArticleEuropean journal of nutrition2018

Exploring the relationship between perceived barriers to healthy eating and dietary behaviours in European adults.

M G M Pinho, J D Mackenbach, H Charreire, J-M Oppert, H Bárdos, K Glonti, H Rutter, S Compernolle, I De Bourdeaudhuij, J W J Beulens and 2 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 2 pooled it
10.7field-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

63 citing papers in PubMed, 2 syntheses or guidelines pooled it, 137 citations in OpenAlex.

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3 more citing papers are in PubMed but not listed here.

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

12 authors at 7 institutions in 5 countries.

M G M PinhoDepartment of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands. m.matiasdepinho@vumc.nl.ORCID http://orcid.org/0000-0003-4928-0851
J D MackenbachDepartment of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands.
H CharreireEquipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, 74 Rue Marcel Cachin, 93017, Bobigny, France.
J-M OppertEquipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, 74 Rue Marcel Cachin, 93017, Bobigny, France.
H BárdosDepartment of Preventive Medicine, Faculty of Public Health, University of Debrecen, Kassai Street 26, 4028, P.O.Box: 9, Debrecen, Hungary.
K GlontiECOHOST-The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK.
H RutterECOHOST-The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK.
S CompernolleDepartment of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, 9000, Ghent, Belgium.
I De BourdeaudhuijDepartment of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, 9000, Ghent, Belgium.
J W J BeulensDepartment of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands.
J BrugDepartment of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands.
J LakerveldDepartment of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands.
Amsterdam UMC Location Vrije Universiteit Amsterdam · NLGhent University · BEInserm · FRLondon School of Hygiene & Tropical Medicine · GBUniversity Medical Center Utrecht · NLUniversity of Amsterdam · NLUniversity of Debrecen · HU

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 233850/2014-7Seventh Framework Programme 278186
6 · The paper itself

Abstract

purposeDietary behaviours may be influenced by perceptions of barriers to healthy eating. Using data from a large cross-European study (N = 5900), we explored associations between various perceived barriers to healthy eating and dietary behaviours among adults from urban regions in five European countries and examined whether associations differed across regions and socio-demographic backgrounds.

methodsFrequency of consumption of fruit, vegetables, fish, fast food, sugar-sweetened beverages, sweets, breakfast and home-cooked meals were split by the median into higher and lower consumption. We tested associations between barriers (irregular working hours; giving up preferred foods; busy lifestyle; lack of willpower; price of healthy food; taste preferences of family and friends; lack of healthy options and unappealing foods) and dietary variables using multilevel logistic regression models. We explored whether associations differed by age, sex, education, urban region, weight status, household composition or employment.

resultsRespondents who perceived any barrier were less likely to report higher consumption of healthier foods and more likely to report higher consumption of fast food. 'Lack of willpower', 'time constraints' and 'taste preferences' were most consistently associated with consumption. For example, those perceiving lack of willpower ate less fruit [odds ratio (OR) 0.57; 95% confidence interval (CI) 0.50-0.64], and those with a busy lifestyle ate less vegetables (OR 0.54; 95% CI 0.47-0.62). Many associations differed in size, but not in direction, by region, sex, age and household composition.

conclusionPerceived 'lack of willpower', 'time constraints' and 'taste preferences' were barriers most strongly related to dietary behaviours, but the association between various barriers and lower intake of fruit and vegetables was somewhat more pronounced among younger participants and women.

Indexed as

PerceptionAdultAttitude to HealthBelgiumCross-Sectional StudiesDiet, HealthyEatingEuropeFeeding BehaviorFemaleFranceFruitHumansMaleMiddle AgedNetherlandsDietary behavioursPerceived barriersPriceTaste preferencesTimeWillpower

Identifiers

PMID28447202
PMCPMC6060804
OpenAlexW2608305776

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.