Food behavior, social aspects and nutritional status in Romania
Notice bibliographique
Résumé
Introduction. Health status is directly linked with nutritional status, life style and food behaviour. There are 4 Health Indicators: Health Conscience, Health Information Orientation, Health-Oriented Beliefs, and Healthy Activities. People who are health conscious have a positive attitude towards preventive measures such as healthy eating. Health information refers to the extent to which an individual is willing to seek health information. At the cognitive level, health orientation is manifested in the field of health beliefs, which refers to the specific cognitions held by individuals about health behaviors. Also, health-oriented individuals are more likely to engage in healthy activities than other people in the population. The four aspects of the health orientation mentioned suggest the differences between individuals in the context of their sources of information in the health field. Our aim was to evaluate connections between social characteristics, nutritional status data and food behaviour, in a Romanian population sample. Material and methods. We followed a qualitative cross-sectional study based on screening of 751 Romanian adults from different regions of our country, which was carried out in 2018. We used a validated questionnaire from an international project, based on 26 specific questions, filled in online, regarding their nutritional and social data completed by their attitudes and information towards food behaviour. In our group, 68.7% were women, one quarter had over 50 years old, 82.3% were from urban areas and almost 2/3rds were higly educated. Results. We obtained a positive correlation between demographic parameters and the BMI, also healthy food behaviors were more frequent at women versus man. On the opposite, the confidence of men upon the information about healthy eating from the internet was higher than that of women. The number of hours/day spent watching TV or in front of the computer was positively correlated with age and also with their BMI. A high education level was significantly positively associated with healthier choices regarding nutrition practices. Health status in relation with nutritional status showed us that the most concerned group for their diet was those who suffered from different pathologies especially cardiovascular disorders. We obtained no significant associations among BMI, environment, current professional activity, responsibility for eating, and physical activity. Conclusions. Nutritionists, specialists in medicine, and food stakeholders should promote healthy diets through adequate sources of information aimed at target groups. Multidisciplinary teams should develop a more efficient strategy to motivate people to make healthy eating choices and improve population food behavior.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».