Work Outcomes and Predictors of Early Work Cessation in Individuals Living with Systemic Lupus Erythematosus: Insights from the Canadian CaNIOS Cohort
Notice bibliographique
Résumé
Objectives Early work cessation is a significant contributor to the personal and societal costs associated with systemic lupus erythematosus (SLE). We sought to describe work status in people with diagnosed SLE and to identify factors associated with early work cessation. Methods We used data from the multicenter Canadian Network for Improved Outcomes in Systemic lupus erythematosus cohort (CaNIOS). Lupus symptoms were assessed using the self-reported SLE activity questionnaire (SLAQ). Health-related quality of life which reflects health status was assessed using the Short-Form 36 physical and mental component scores (PCS and MCS respectively). Work status [working at least 10 hours per wk, hours worked/wk (categorized as 1-15, 16-30, >30 hrs), retired, full-time student, disabled, full-time homemaker] was reported annually. We evaluated work status at baseline and during follow-up in participants of working age (defined as <66, the average retirement age in Canada). We defined incident SLE as having the baseline study visit within 12 months of diagnosis. Binary logistic regression analysis was used to identify variables associated with baseline work status. Models included gender, duration of lupus, achievement of high school education, SLAC, PCS and MCS. Results Work status was available for 2194 working age participants (90.6% women, mean age 43 (12.7) years), 1910/2170 (88%) completed high school, 693/1245 (56%) had insurance for disability, 1040/1350 (77%) for prescription drugs, and 811/1267 (64% for physiotherapy). At the baseline visit, for prevalent cases, 1158 (52.8%) were working, 214 (9.8%) were retired, 225 (10.3%) were full-time homemakers, 145 (6.6%) were full-time students and 363 (16.5%) were disabled. Of working age participants 269 had incident SLE. For the 269 incident SLE participants of working at the baseline visit 157 (58.4%) were working, 19 (7.1%) were retired, 27 (10.1%) were full-time homemakers, 21 (7.8%) were full-time students and 33 (12.3%) were disabled. Work status was stable during follow-up as were overall hours worked (Figure). In the subset of participants with available data (N=407), high school completers (OR 3.0 (1.61,5.65), higher (better) PCS (1.07 (1.04, 1.09) and MCS (1.03 (1.01, 1.05), and higher SLAQ 1.045 (1.01, 1.08) were associated with working at baseline; gender (OR 1.5(0.72,3.32) and disease duration OR 0.99 (0.97, 1.01) were not. Figure: Employment status over time A. Prevalent SLE, B. Incident SLE, C. Hours worked prevalent SLE, D. Hours worked incident SLE Conclusion Patients with SLE are employed at lower rates than the general Canadian population. Employment appears to be influenced by both demographic factors such as education and both physical and mental health status. Strategies to improve employment rates for people with SLE are needed.
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,005 |
| Études des sciences et des technologies | 0,003 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».