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Enregistrement W1449409616

An Assessment of University Students' Healthy Eating Behaviors with the Expectancy Theory

2015· article· en· W1449409616 sur OpenAlexaboutno aff
Karen Blotnicky, Linda Mann, Phillip R. Joy

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomainePsychology
ThématiqueBehavioral Health and Interventions
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésExpectancy theoryPsychologyLife expectancyPsychological interventionPopulationContext (archaeology)GerontologySocial psychologyDevelopmental psychologyEnvironmental healthMedicineGeographyPsychiatry
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

ABSTRACTThe consequences of poor eating behaviors can impact, not only the overall health of individuals, but it can negatively impact government and organizational costs. Healthy eating behaviours are influenced by personal, behaviour, and environmental factors, and have been investigated through many theoretical frameworks. In this study, expectancy theory was explored as a tool to understand healthy eating motivations in the context of consumer behaviour. Based on the expectancy theory, six hypotheses were created and tested using a survey conducted at two universities. A total of 188 students completed the survey which included questions on eating behaviors, nutrition knowledge and selfefficacy for healthy eating. An expectancy theory model based on the resulting scores was analyzed through Partial Least Square regression. The six hypotheses were confirmed by the analysis and the null hypotheses were rejected. This indicates that Healthy Eating Behaviour can be positively impacted by various interventions dealing with knowledge and self-efficacy (Expectancy), enhancing students' understanding of nutrition impacts on health (Instrumentality), and encouraging a change in values to believe in the importance of having a healthy eating lifestyle (Valence). Therefore, expectancy theory has a role to play in explaining healthy eating consumer behaviour and promoting health among university students.INTRODUCTIONGood nutrition is critical to maintain health for people of all ages. Nova Scotia (NS) is on the front lines of a battle against obesity, a condition that is affecting North Americans from coast to coast. Healthy eating could contribute to a healthier population, increased quality of life and reduced health care costs. Health related organizations and government departments are engaged in promoting health and wellness.University students are often living on their own for the first time. They may be eating in university dormitories, or sharing meals with friends at local eateries or in students' apartments. Are university students living a healthy eating lifestyle, and if not, how can they be motivated to do so?The purpose of this paper was to better understand how university students approach healthy eating, and how best to motivate them to pursue a healthy lifestyle. First, nutrition knowledge, eating habits, self-efficacy and perceived importance of eating nutritious meals were evaluated for a sample of university students living in Halifax, NS, then the expectancy theory was explored as a tool to better understand healthy eating motivations in the context of consumer behaviour.INFLUENCES ON CONSUMER HEALTHY EATING BEHAVIORSRising rates of obesity and nutrition related chronic diseases in western societies have been contributing to an economic burden for health care at government, organization and family levels (World Health Organization (WHO), 2009). Worldwide, it has been reported that 51% of strokes and 45% of heart disease are caused by high blood pressure which in turn is impacted by overweight and obesity and consumption of excess salt and processed foods (WHO, 2009). Also worldwide, the WHO (2009), estimated that more than a billion people were overweight (Body Mass Index (BMI) ≥25), more than 300 million were obese (BMI≥30) and that the rates were expected to increase.In high income countries, while tobacco use was reported to be the leading cause of deaths (17.9%) and disability-adjusted life years (DALY; 10.7%), the combined totals from high blood pressure, overweight and obesity, high blood sugar, high cholesterol and low vegetable and fruit intake were identified as causes of 40.5% of deaths and 22.2% of DALY (WHO, 2009). This indicates that is is imperative to improve healthy eating behaviors.There is also evidence that poor eating behaviors can lead to reduced resistance to infection, poor mental and overall malaise (Qi, Phillips and Hopman, 2006; Boyle and LaRose, 2009; Edelstein and Sarlin, 2009; Gibney, Lanham-New, Cassidy and Vorster, 2009). …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,013
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,023

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,013
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,074
Tête enseignante GPT0,477
Écart entre enseignants0,402 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations7
Publié2015
Routes d'admission1
Résumé présentoui

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