Cognitive function alone is a poor predictor of health-related quality of life in employed patients with MS: results from a cross-sectional study. Issue 2 (17th February 2016)

• Record Type: Journal Article
• Authors: Giovannetti, Ambra Mara; Schiavolin, Silvia; Brenna, Greta; Brambilla, Laura; Confalonieri, Paolo; Cortese, Francesca; Covelli, Venusia; Frangiamore, Rita; Leonardi, Matilde; Mantegazza, Renato; Moscatelli, Marco; Ponzio, Michela; Torri Clerici, Valentina; Zaratin, Paola; Raggi, Alberto
• Is Part Of: Clinical neuropsychologist. Volume 30:Issue 2(2016)
• Page Start: 201
• Page End: 215
• Publication Date: 2016-02-17
• Subjects: MS-QOL-54 -- anxiety -- depression -- cognitive functions -- disability evaluation; Neuropsychology -- Periodicals; Neuropsychology -- Periodicals; Mental Disorders -- Periodicals; 612.805
• DOI: 10.1080/13854046.2016.1142614
• Languages: English
• ISSNs: 1385-4046

Abstract

Abstract: Objective : Depression, anxiety, disease severity, and cognitive functions impact on the quality of life of people with MS. However, the majority of studies were not based on multivariate models and did not target employed patients. The aim of this study was to investigate predictors of HRQoL in persons with MS in the workforce considering cognitive, psychological, disease severity, and disability-related variables.Methods : Cross-sectional study. Hierarchical block regression analyses were conducted to identify predictors of physical and mental components of HRQoL, measured with the MSQOL-54. Candidate predictors included cognitive functioning (a selection of Rao's BRB-NT), sample features (age, education, MS duration), depressive symptoms (BDI-II), anxiety (STAI-Y), disability (WHODAS 2.0), and MS severity (EDSS): those that correlated with PCS and MCS with p < .250 and those that correlated with other predictors with coefficients >.800 were excluded from regression analyses.Results : In total, 181 patients (60.8% females, mean age 39.6, median EDSS 1.5) were included. In both models, cognitive variables had a poor explicative power. The models improved significantly when psychological, as well as, disease severity and disability variables were added. R 2 of complete models was 0.732 for the physical component, 0.697 for the mental one: BDI-II, STAI-State and, some WHODAS 2.0 scales were significant predictors of HRQoL.Conclusions : Monitoring anxiety, depressive symptoms, and level of disability through self-reported questionnaires may provide useful suggestions to improve the HRQoL of persons with MS in the workforce, permitting to address possible problems in the work context and plan corrective actions.