The prevalence of over-qualification and its association with health status among occupationally active new immigrants to Canada
Notice bibliographique
Résumé
OBJECTIVES: Occupational over-qualification refers to a situation where an individual's occupational status is lower than would be expected by their training, skills, or experience. The objective of this study is to examine the prevalence of three dimensions of over-qualification among a cohort of new immigrants to Canada, and the associations between each dimension of over-qualification with changes in general and mental health status over a four-year period. DESIGN: This study utilized data from the Longitudinal Survey of Immigrants to Canada. For the purpose of this study, we restricted our sample to those employed respondents who worked before coming to Canada, were planning on working after immigration, were in good health at baseline and were interviewed at 4 years post-arrival (N=2685). We defined three measures of over-qualification based on occupational attainment at 4 years relative to: level of education, previous work experience, and occupational expectation upon arrival in Canada. Regression models explored the associations between each dimension of over-qualification and change in self-reported general and mental health adjusting for a variety of immigrants' personal and immigration-related characteristics. RESULTS: Four years after arriving in Canada, 51.6% of immigrants were overqualified for their jobs based on their education levels, with a lesser extent overqualified based on experience (44.4%) or expectations (42.8%). Respondents experiencing any dimension of over-qualification were more likely to report a decline in mental, but not general, health. These relationships were only mildly attenuated after adjustment for other possible confounding variables. Inclusion of job satisfaction and perceptions of employment situation mediated these relationships to a large extent suggesting they are primary pathways through which over-qualification influences mental health. CONCLUSIONS: On average, occupationally active immigrants who were overqualified for their attained occupations in Canada had poorer mental health status than other immigrants 4 years after arrival in Canada. Effective policies and services that support opportunities for immigrants to use their skills appropriately in the Canadian labor market have important labor, social- and health-related consequences.
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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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 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) | 0,000 | 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 ».