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- Title
Long-term sickness absence due to adjustment disorder.
- Authors
Catalina-Romero, C.; Pastrana-Jiménez, J. I.; Tenas-López, M. J.; Martínez-Muñoz, P.; Ruiz-Moraga, M.; Fernández-Labandera, C.; Calvo-Bonacho, E.
- Abstract
Background Although adjustment disorder is frequently reported in clinical settings, scientific evidence is scarce regarding its impact on sickness absence and the variables associated with sickness absence duration.Aims To report sickness absence duration and to identify predictors of long-term sickness absence in patients with adjustment disorder.Methods This observational, prospective study included subjects with non-work-related sickness absence (>15 days) after a diagnosis of adjustment disorder. A stepwise logistic regression analysis was conducted to identify the best predictors of long-term sickness absence (≥6 months).Results There were 1182 subjects in the final analysis. The median duration of sickness absence due to adjustment disorder was 91 days. Twenty-two per cent of the subjects reported long-term sickness absence. After multivariate analysis, comorbidity (OR = 2.23, 95% CI 1.43–3.49), age (25–34 years old versus <25 years old: OR = 2.78, 95% CI 1.27–6.07; 35–44 years old versus <25 years old: OR = 3.70, 95% CI 1.71–7.99; 45–54 years old versus <25 years old: OR = 3.58, 95% CI 1.60–8.02; ≥55 years old versus <25 years old: OR = 6.35, 95% CI 2.64–15.31) and occupational level (blue collar versus white collar: OR = 1.52, 95% CI 1.10–2.09) remained significantly associated with long-term sickness absence. Comorbidity was the strongest predictor.Conclusions It is possible to predict long-term sickness absence due to adjustment disorder on the basis of demographic, work-related and clinical information available during the basic assessment of the patient.
- Subjects
ADJUSTMENT disorders; LOGISTIC regression analysis; LONGITUDINAL method; MENTAL health; MENTAL illness; MULTIVARIATE analysis; OCCUPATIONAL medicine; CONFIDENCE intervals
- Publication
Occupational Medicine, 2012, Vol 62, Issue 5, p375
- ISSN
0962-7480
- Publication type
Article
- DOI
10.1093/occmed/kqs043