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Long-term sickness absence due to adjustment disorder
C Catalina-Romero1, J I Pastrana-Jiménez, M J Tenas-López
1Ibermutuamur (Mutua de Accidentes de Trabajo y Enfermedades Profesionales de Seguridad Social 274), Madrid, Spain. carloscatalina@ibermutuamur.es
Predicting long-term sickness absence in adjustment disorder patients is possible. Comorbidity, age, and occupational level are key predictors, with comorbidity being the strongest factor.
Area of Science:
- Occupational health
- Psychiatry
- Public health
Background:
- Scientific evidence on adjustment disorder's impact on sickness absence is limited.
- Understanding factors influencing sickness absence duration is crucial for clinical management.
Purpose of the Study:
- To determine the duration of sickness absence in patients diagnosed with adjustment disorder.
- To identify predictors associated with long-term sickness absence (≥ 6 months) in this population.
Main Methods:
- An observational, prospective study design was employed.
- Included subjects had non-work-related sickness absence exceeding 15 days post-adjustment disorder diagnosis.
- Stepwise logistic regression analysis identified predictors of long-term sickness absence.
Main Results:
- The median sickness absence duration was 91 days, with 22% experiencing long-term absence.
- Comorbidity (OR=2.23), increasing age groups (ORs ranging from 2.78 to 6.35), and blue-collar occupation (OR=1.52) were significant predictors.
- Comorbidity emerged as the strongest predictor of prolonged sickness absence.
Conclusions:
- Long-term sickness absence due to adjustment disorder can be predicted using initial patient assessment data.
- Demographic, occupational, and clinical factors are valuable for predicting absence duration.
- Early identification of at-risk individuals allows for timely intervention strategies.
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