Comparison of the two methods of defining high-stress on the Japanese Stress Check Program
Notice bibliographique
Résumé
OBJECTIVES: In Japan, companies are required to implement a "stress check program" to prevent mental health problems in workers. To identify "high-stress" workers, the Brief Job Stress Questionnaire (BJSQ) is recommended. According to the stress check program manual issued by the government, high-stress can be defined using two criteria, either the "sum method" (simply summing the scores for each scales) or the "score converted method" (using converted scores according to the conversion table for each scales). In this study, we examined the differences in results found using these two criteria on "stress check program" data. METHODS: We used data of 71,422 workers in 117 companies and organizations who conducted stress checks in 2016. The prevalence of high-stress was calculated by applying the two criteria simultaneously, and the chi-square test was used to compare the proportion of workers with high-stress. We subsequently divided participants into the four following groups and calculated the proportion of each group: group A was defined as having high-stress by both criteria; group B, only by the sum method; group C, only by the score converted method; and group D, not defined as high-stress by either criterion. We compared the average values of stress response among four groups using the Kruskal-Wallis test, and further compared the average values between group B and group C using the Bonferroni method. RESULTS: The average age of participants was 43.7 ± 11.1, and 66.8% were males. The proportion of those defined as having high-stress were 11.7% using the sum method and 13.2% using the score converted method; the proportion of high-stress workers was thus significantly higher when using the score converted method (p <.001). Physical stress response was higher in group B; however, lack of vigor, irritation, fatigue, and depression were higher in group C (p <.01). CONCLUSIONS: Compared to the sum method, 1.5% more high-stress workers were observed using the converted method, and this result was similar for individual and employment-related factors. Furthermore, workers were more likely to be judged as having "high-stress" when the score of the physical stress response was higher in the sum method. Hereafter, it is important to consider which criteria are applied when discussing proportions of high-stress. Further research is needed to examine which criteria will predict health disorders.
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 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 | 0,008 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».