Understanding the Relationship Between Emotional Intelligence, Eating disorders, Blood group and Cognitive functioning among Asian and African University Students
Notice bibliographique
Résumé
Abstract Introduction - The overall purpose of the study was to examine the relationship between emotional intelligence, eating disorders, blood group and cognitive functioning among Asian and African university students in India. That’s how emotional intelligence and blood group type serves as aetiological factors for eating disorders and the degree to which these three Variables influence cognitive functioning among university students. Objectives - The first aim of the study was to determine if any relationship exist between emotional intelligence, eating disorders, blood groups and cognitive functioning among Asian and African Students. Our second aim was to investigate the impact of eating disorders, emotional intelligence and blood groups on cognitive functioning, as well as to find the role of blood groups on aetiology of eating disorders. And finally, to also investigate the role of cultural differences on emotional intelligence, eating disorders and cognitive functioning Methods and Material - The study considered sample size of 120 African and Asian university students at National forensic sciences university (NFSU) who were residing in India and continuing their studies from undergraduate to PhD in all academic streams during the time of the study with ratio of equal African and Asian as well as male to female. Tools used in the study were eating disorders diagnostic scale by Stice, E., Fisher, M., & Martinez, E. (2004), Schutte Self Report Emotional Intelligence Test (SSEIT) and Montreal cognitive assessment (MOCA). Results – We found positive correlation between blood group and cognitive functioning with correlation value of .241** at 0.01 significant level. Blood group was also found to be negatively correlated to eating disorders with correlation value of -237** at 0.01 significant level and positively correlated with emotional intelligence with correlation value of .187* at 0.01 significant level. We also found that, cognitive functioning was negatively correlated to eating disorders with correlation value of -.842** and positively correlated to emotional intelligence with correlation value of .781. ** This reveals that, people who are having eating disorders are more likely to perform poorly in cognitive functioning. Our results also shows that, emotional intelligence was negatively correlated to eating disorders with correlation value of -.745.** This can be interpreted as people who have high emotional intelligence are of low risk of developing eating disorders compare to those with low emotional intelligence. Finally, we also found significant difference between Asian and African students on the basis of emotional intelligence level, cognitive functioning and eating disorders. Conclusion - In conclusion, the result of this study shows that, there is a correlation between emotional intelligence, eating disorders, blood groups and cognitive functions. Also, Asian and African students differ on emotional intelligence level, cognitive functioning and eating disorders. But emotional intelligence, eating disorders and cognitive functioning is not dependent on different academic level. That’s no significant difference was found between different academic level, that’s undergraduate, post-graduate and PhD on eating disorders, emotional intelligence and cognitive task Keywords: Emotional intelligence, blood group, eating disorders, cognitive functioning, Asian and African student
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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 | 0,003 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».