Factors associated with happiness and life satisfaction among workers
Notice bibliographique
Résumé
INTRODUCTION: In modern society, mental health in the workplace is increasingly considered an im-portant issue and a major political agenda. Many studies have reported negative mental health risk factors or psychopathologies such as depression, anxiety, and suicidal inclination among workers. Accordingly, there are ongoing debates on the importance of establishing a system to screen and treat psychopathologies, such as the assessment of depression and anxiety. However, the absence of psychopathology or negative psychiatric factors does not guarantee good mental health. Mental health is a more comprehensive and complex concept. According to the World Health Organization, mental health is the state in which an individual can cope with routine stressors in life, work productively, and contribute to their organizations. Hence, it is needed to directly measure workers’ mental health in terms of happiness and life satisfaction. OBJECTIVES: To comprehensively investigate workers’ mental health, we explored factors associated with happiness and life satisfaction among workers using nationally representative data. METHODS: We performed multiple regression analysis, with happiness and life satisfaction set as the outcome measures, and sociodemographic factors and work-related factors as the predictive variables. RESULTS: A total of 7,797 participants (4,428 men [56.8%]) with a mean age of 46.58 years (SD = 13.50) were included in the analysis. Job satisfaction (β = 0.154, p < 0.001) and self-rated health (β = 0.175, p < 0.001) were the most strongly associated with happiness. Organizational commitment, region of work, average monthly income, education level, and number of guaranteed leaves were also strongly associated with happiness and life satisfaction. Life satisfaction had the highest adjusted R(2) at 0.423. The adjusted R(2) for happiness and the ladder approach were 0.283 and 0.213, respectively. The variance inflation factor was below 10, and residuals were below 0.1 for all predictor variables. CONCLUSIONS: Our results indicated that personal and work-related factors were associated with the happiness and life satisfaction of workers. Among work-related factors, subjective, intrinsic rewards such as job satisfaction and organizational commitment were more strongly associated than external rewards such as average monthly income or guaranteed vacations. These findings may be useful foundational data in devising policies and interventions to promote workers’ happiness and life satisfaction. DISCLOSURE OF INTEREST: None Declared
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| 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 | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 source (Gemma direct ou Codex distillé), 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 ».