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Tytuł pozycji:

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

Tytuł:
Explaining Vegetable Consumption among Young Adults: An Application of the Theory of Planned Behaviour
Autorzy:
Davide Menozzi
Giovanni Sogari
Cristina Mora
Temat:
vegetables consumption
theory of planned behaviour (TPB)
structural equation model (SEM)
intention
background factors
Nutrition. Foods and food supply
TX341-641
Źródło:
Nutrients, Vol 7, Iss 9, Pp 7633-7650 (2015)
Wydawca:
MDPI AG, 2015.
Rok publikacji:
2015
Kolekcja:
LCC:Nutrition. Foods and food supply
Typ dokumentu:
article
Opis pliku:
electronic resource
Język:
English
ISSN:
2072-6643
Relacje:
http://www.mdpi.com/2072-6643/7/9/5357; https://doaj.org/toc/2072-6643
DOI:
10.3390/nu7095357
Dostęp URL:
https://doaj.org/article/6477b1d44aee4e57a74431bc529e6ff7  Link otwiera się w nowym oknie
Numer akcesji:
edsdoj.6477b1d44aee4e57a74431bc529e6ff7
Czasopismo naukowe
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.

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