Exploring the causes, symptoms and health consequences of joint and inverse states of work engagement and burnout
Notice bibliographique
Résumé
Purpose – The purpose of this research is to explore the relationship between the positive and negative psychological states of work (i.e. engagement and burnout, respectively) and their effects on an individual’s mental and physical health. This study analyzes their separate and joint manifestations. In total, 2,094 nurses were segmented into quadrants that represent a 50/50 median split on both engagement and burnout. The four resulting quadrants were then examined in a series of analyses including logistic regression and ANOVA. Design/methodology/approach – This is a cross-sectional study based on a very large survey (> 2,000 people) in Spain. Data were collected from nurses in collaboration with the official nurses corporations in half a dozen provinces in Spain. Data were analyzed in stages which included zero-item correlations and ANOVA to determine their independence and suitability for predicting states of engagement and burnout. This was followed by a series of binary logistic regression analyses. Findings – The findings suggested that engagement and burnout were generally inversely related (67 per cent of the sample) which is the conventional wisdom in this regard, but 33 per cent of the sample manifested concurrently at either extreme. Burnout was chiefly driven by work demands, as both quadrants of low burnout had lower demands and both quadrants of high burnout had higher demands. Engagement was primarily driven by resources and affinity. Social support acted independently (perhaps as a moderator) by aligning with states of burnout. Worker health was primarily driven by burnout, wherein both states of low burnout exhibited better health and both states of high burnout exhibited poorer health. Originality/value – Much of the current research on this topic considers engagement and burnout to be linear dimensions and focuses on building structural models of the precise relationships between variables. That approach is to be encouraged, but there is also a need to jointly deconstruct dimensions and relationships in a tactile manner that can inform future structural models. The secondary benefit of this approach is that these findings can be submitted directly to managers to provide an easily understood approach for assessments and interventions.
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 | 0,024 | 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 | 0,001 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,002 |
| 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 ».