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Background: Self-rated health (SRH) has been found to predict sickness absence (SA). The present study investigated the effect of replacing single-item SRH by a multi-item health measure on SA predictions. Methods: Longitudinal study of 2059 Norwegian nurses with assessments in three waves each separated by 1 year. Health was measured by single-item SRH and multi-item SF-12 in waves 1 and 2. SA was self-reported in all three waves and high SA was defined as more than or equal to 31 SA days within the last 12 months. Predictions of high SA by a model including age, prior SA and single-item SRH were compared with predictions by a model including age, prior SA and multi-item SF-12. Both models were bootstrapped to correct for over-optimism and prospectively validated for their predictions in a new time frame. Results: 1253 nurses (61%) had complete data for analysis. The SF-12 model predicted the risk of high SA more accurately (X2= 4.294; df = 8) and was more stable over time than the SRH model (model X2= 14.495; df = 8). Both prediction models correctly discriminated between high-risk and low-risk individuals in 73% of the cases at wave 2 and in 71% of the cases at wave 3. Conclusions: The accuracy of predictions increased when single-item SRH was replaced by multi-item SF-12, but the discriminative ability did not improve. Single-item SRH suffices to identify employees at increased risk of high SA. [ABSTRACT FROM AUTHOR]

This study analyses distinct trajectories of vital exhaustion (VE; a measure of mental health incorporating signs of stress and depression) over a period of 15 years in healthy adults and investigates further the consequences for markers of low-grade inflammation as indicators of cardiovascular disease risk. Data of 341 participants of the Amsterdam Growth and Health Longitudinal Study were utilized. VE was measured by the Maastricht Questionnaire. Markers of low-grade inflammation included interleukin-6, interleukin-8 and tumour necrosis factor-α. Distinct trajectories of VE were obtained by latent class growth models, and consequences for markers of low-grade inflammation of the trajectories were analysed by linear regressions. We found comparable trajectories of VE for men and women; a 'never vitally exhausted' subgroup (16.9% and 25.1%, respectively), a 'stable preclinical VE' subgroup (51.7% and 68.1%) and a 'chronic VE state' subgroup (31.5% and 6.7%). The subgroups had similar levels of the markers investigated. This study is the first to analyse VE longitudinally in healthy adults and indicates that although distinct trajectories of VE were identified, differential consequences for cardiovascular disease risk were unapparent. Copyright © 2013 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Background: To compare childhood arrestees with matched comparison groups on levels of autistic symptoms and to assess the unique predictive value of autistic symptoms for future delinquent behavior in childhood arrestees. Methods: Childhood first-time arrestees ( n = 308, baseline age 10.7 ± 1.5 years) were followed up for 2 years. Autistic symptoms, externalizing disorders and delinquent behavior were assessed yearly. Childhood arrestees were compared on autistic symptoms with matched (age, gender) general population and clinical autism spectrum disorder samples. The predictive value of autistic symptoms for delinquent behavior was analyzed using generalized estimating equations. Results: At each assessment, levels of autistic symptoms in childhood arrestees were in between levels found in the general population and autism spectrum disorder samples. Autistic symptoms were positively associated with delinquent behavior in childhood arrestees, even after adjustment for externalizing disorders: IRR (incidence rate ratio) 1.23; 95% CI 1.11-1.36 and IRR 1.29; 95% CI 1.15-1.45 for core autistic symptoms and total symptom score, respectively. Conclusions: Autistic symptoms are more prevalent in childhood arrestees compared to the general population and are uniquely associated with future delinquent behavior. Attention should, therefore, be given to the possible presence of autism related symptomatology in these children. Implications for diagnostic assessment and intervention need further investigation. [ABSTRACT FROM AUTHOR]