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Predicting Fruit Consumption: Cognitions, Intention, and Habits
Open accessAbstract
Objective To study predictors of fruit intake in a sample of 627 adults.Design Potential predictors of fruit intake were assessed at baseline, and fruit intake was assessed at two-week follow-up with self-administered questionnaires distributed by e-mail.Setting The study was conducted among Dutch adult members of an Internet research panel.Participants A random sample of 627 adults aged 18-78.Variables measured Attitudes, subjective norms, self-efficacy, expected pros and cons, habit strength, intention, and fruit intake. Fruit intake was assessed with a validated food-frequency questionnaire.Analysis Hierarchical linear and logistic regression analyses. Alpha < .05 was considered statistically significant.Results Sex, attitudes, subjective norms, perceived pros, different self-efficacy expectations, and habit strength were significantly associated with the intention to eat two or more servings of fruit per day. Age, intentions, and habit strength were significant predictors of consumption of two or more servings of fruit per day.Conclusions and implications The results confirm that Theory of Planned Behavior constructs predict fruit intake, and that habit strength and different self-efficacy expectations may be additional determinants relevant to fruit intake. Because habitual behavior is considered to be triggered by environmental cues, fruit promotion interventions should further explore environmental change strategies.
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Metadata
- Authors
- Brug, J., de Vet, E., de Nooijer, J., & Verplanken, B.
- Affiliations
- Erasmus MC (NL)
- UiT The Arctic University of Norway (NO)
- Corresponding author
- Brug, Johannes
- Venue
- Journal of Nutrition Education and Behavior
- Publisher
- Elsevier BV
- Published
- 2006-03
- Volume
- 38
- Issue
- 2
- Pages
- 73-81
- ISSN
- 1499-4046 (ISSN-L)
- OpenAlex
- W2111056810
- Cited by
- 195
- References
- 58
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 6 · 2023: 2 · 2022: 8 · 2021: 10 · 2020: 9 · 2019: 6 · 2018: 11 · 2017: 8 · 2016: 6 · 2015: 8 · 2014: 18 · 2013: 13 · 2012: 14
- FWCI
- 18.28
- Type
- journal article
- Language
- en
- Open access
- green
- research.wur.nl
- Locations
- Journal of Nutrition Education and Behavior (publishedVersion)
- PubMed (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- Socio-Environmental Systems Modeling (submittedVersion)
- VU Research Portal (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Keywords
- fruit consumption, theory of planned behavior, attitudes, subjective norms, self-efficacy, habit strength, eating intentions, environmental cues
- MeSH terms
- Adolescent, Adult, Age Factors, Aged, Diet Surveys, Feeding Behavior, Female, Fruit, Health Promotion, Humans, Health Knowledge, Attitudes, Practice, Male, Middle Aged, Netherlands, Predictive Value of Tests, Surveys and Questionnaires, Linear Models, Logistic Models, Self Efficacy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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