# Explaining Vegetable Consumption among Young Adults: An Application of the Theory of Planned Behaviour

**Authors:** Davide Menozzi, Giovanni Sogari, Cristina Mora

PMC · DOI: 10.3390/nu7095357 · Nutrients · 2015-09-10

## TL;DR

This study explores why young adults in Italy consume vegetables using a psychological model to suggest ways to improve their eating habits.

## Contribution

The study applies the Theory of Planned Behaviour to identify key factors influencing vegetable consumption among Italian young adults.

## Key findings

- The TPB model explains 81% of the variance in intentions and 68% in vegetable consumption behaviour.
- Socio-demographic and personal factors influence behaviour indirectly through TPB determinants.
- Targeted interventions focusing on perceived behavioural control, attitudes, and subjective norms could improve vegetable consumption.

## Abstract

Although fruit and vegetable consumption is highly recommended for a healthy and balanced daily diet, several European countries do not meet these recommendations. In Italy, only 45% of young people are consuming at least one portion of vegetables per day. Therefore, this paper aims to understand the main determinants of vegetables consumption among young adults to suggest possible intervention strategies. A cross-sectional study was conducted on a samples of Italian students (n = 751), using the theory of planned behaviour (TPB) as a conceptual framework. A structural equation model (SEM) was developed to test the TPB predictors for vegetable consumption, and the role of background factors (socio-demographic and personal characteristics) in improving the TPB model’s explaining power. Overall, 81% and 68%, respectively, of intentions and behaviour variance is explained by the TPB model. Socio-demographic and personal characteristics were found to influence intentions and behaviour indirectly by their effects on the theory’s more proximal determinants. Interventions should be targeted to improve perceived behavioural control (PBC), attitudes and subjective norms that significantly affect intentions. Tailored interventions for male students, enrolled in courses other than food science, and doing less physical activity may have a larger effect on behavioural change.

## Full-text entities

- **Diseases:** overweight (MESH:D050177), musculoskeletal disorders (MESH:D009140), cardiovascular disease (MESH:D002318), hypertension (MESH:D006973), micronutrient deficiencies (MESH:D007153), obese (MESH:D009765), chronic diseases (MESH:D002908), cancers (MESH:D009369), underweight (MESH:D013851), PBC (MESH:D007174), type 2 diabetes (MESH:D003924)
- **Chemicals:** PBC (-), F&amp;V (MESH:C536525), minerals (MESH:D008903)
- **Species:** Solanum lycopersicum (tomato, species) [taxon 4081], Solanum melongena (aubergine, species) [taxon 4111], Daucus carota (carrot, species) [taxon 4039], fennel [taxon 48038], Manihot esculenta (cassava, species) [taxon 3983], Cucumis sativus (cucumber, species) [taxon 3659], Homo sapiens (human, species) [taxon 9606], Solanum tuberosum (potatoes, species) [taxon 4113]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC4586552/full.md

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC4586552/full.md

## References

41 references — full list in the complete paper: https://tomesphere.com/paper/PMC4586552/full.md

---
Source: https://tomesphere.com/paper/PMC4586552