In this study, the psychometric properties of a quality of life scale, the WHOQOL-Bref, were examined in a population of 533 Dutch adult psychiatric outpatients. Participants underwent two semistructured interviews in order to obtain Axis-I and II diagnoses, according to DSM-IV. Besides the WHOQOL-Bref they also completed questionnaires for measuring psychopathological symptoms (SCL-90) and perceived social support (PSSS). Scores on 25 of the 26 questions of the WHOQOL-Bref had a good distribution. Similar to previous findings, exploratory factor analysis revealed a four-factor structure. A priori expected associations were found between the domains of the WHOQOL-Bref, on the one hand, and dimensions of the SCL-90 and the PSSS-score, on the other hand, indicating good construct validity. The internal consistency of the four domains of the WHOQOL-Bref ranged from 0.66 to 0.80. Domain scores of the WHOQOL-Bref correlated around 0.92 with the WHOQOL-100 domain scores. Relatively low correlations were found between demographic characteristics (age and sex) and WHOQOL-Bref domain scores. It is concluded that the content validity, construct validity, and the reliability of the WHOQOL-Bref in a population of adult Dutch psychiatric outpatients are good. The WHOQOL-Bref, therefore, is an adequate measure for assessing quality of life at the domain level in a population of adult psychiatric outpatients.
In their natural environment, organisms receive information through multiple sensory channels and these inputs from different sensory systems are routinely combined into integrated percepts. Previously, we reported that in a population of schizophrenics, deficits in audiovisual integration were observed for complex stimuli (auditory and visual syllables), but not for more simple ones (beeps and light flashes). Here, we investigated multisensory integration of emotional information in a group of schizophrenic patients. In Experiment 1, we found a reduced effect of an emotional voice on the categorization of a facial expression. In Experiment 2, the reverse test situation was presented, and, here, we observed an exaggerated effect of a face expression on the categorization of an emotional voice. Results are discussed in the light of current models of multisensory integration and their relevance for schizophrenia.
Background. -Research concerning the psychometric properties of the WHO Quality of Life Assessment Instrument (WHOQOL-100) in general populations of psychiatric outpatients has not been performed systematically.Aims. -To examine the content validity, construct validity, and reliability of the WHOQOL-100 in a general population of Dutch adult psychiatric outpatients.Method. -A total of 533 psychiatric outpatients entered the study (438 randomly selected, 85 internally referred). Participants completed self-administered questionnaires for measuring quality of life (WHOQOL-100), psychopathological symptoms (SCL-90), and perceived social support (PSSS). In addition, they underwent two semi-structured interviews in order to obtain Axis-I and Axis-II diagnoses, according to DSM-IV.Results. -The drop-out percentage was low (7.1%). Of the 24 facets of the WHOQOL-100, 22 had a good distribution of scores, leaving out the facets physical environment and transport. Exploratory factor analysis revealed a four-factor structure, which was similar to earlier findings in patients with specific somatic diseases and depressive disorders. Various-a priori expected-positive and negative correlations were found between facets and domains of the WHOQOL-100, and dimensions of the SCL-90 and the PSSS-score, indicating good construct validity of the WHOQOL-100. The internal consistency of all facets and the four domains of the WHOQOL-100 was good (Cronbach's alpha's ranging from 0.62 to 0.93 and 0.64 to 0.84, respectively). Sparse and relatively low correlations were found between demographic characteristics (age and sex) and WHOQOL-100 scores.Conclusions. -Content validity, construct validity, and reliability of the WHOQOL-100 in a population of adult Dutch psychiatric outpatients are good. The WHOQOL-100 appears to be a suitable instrument for measuring quality of life in adult psychiatric outpatients.
Relationships between social functioning and quality of life in a population of Dutch adult psychiatric outpatients Trompenaars, F.J.; Masthoff, E.D.; van Heck, G.L.; de Vries, J.; Hodiamont, P.P.G. Published in:International Journal of Social Psychiatry Document version:Publisher's PDF, also known as Version of record Publication date: 2007Link to publication Citation for published version (APA):Trompenaars, F. J., Masthoff, E. D., van Heck, G. L., de Vries, J., & Hodiamont, P. P. G. (2007). Relationships between social functioning and quality of life in a population of Dutch adult psychiatric outpatients. International Journal of Social Psychiatry, 53(1), 36-47. General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.-Users may download and print one copy of any publication from the public portal for the purpose of private study or research -You may not further distribute the material or use it for any profit-making activity or commercial gain -You may freely distribute the URL identifying the publication in the public portal Take down policyIf you believe that this document breaches copyright, please contact us providing details, and we will remove access to the work immediately and investigate your claim. The relationship between social functioning and QOL in psychiatric patients has not been explicitly investigated before. Aims: To investigate the relationship between social functioning and QOL in a population of psychiatric outpatients (N ¼ 410) with a broad spectrum of psychiatric disorders. Method: Social functioning was assessed with the Groningen Social Behavior Questionnaire-100 (GSBQ-100) and the Global Assessment of Functioning (GAF) scale. QOL was measured with the WHO Quality of Life Assessment Instrument (WHOQOL-100). Results: The study population experienced a wide range of problems concerning all aspects of social functioning. The numbers of problems were significantly higher compared with healthy controls and (partly) also compared with a norm group of psychiatric outpatients. Almost all scales of the GSBQ-100 were negatively correlated with all QOL aspects, whereas the GAF score correlated positively with all QOL aspects. In general, participants with problems on aspects of social functioning had lower QOL scores than those without such problems, even after a correction for the presence of psychopathology according to DSM-IV classification. Conclusion: In addition to the presence of psychopathology, social functioning is significantly related to QOL. Therefore, it should be considered more systematically in psychiatric assessment, treatment and program evaluation.
It is concluded that QOL scores are negatively related to both the presence and the severity of psychopathology, and that the presence of a personality disorder plays a role in subjectively experienced QOL.
In this study, we investigated network configurations of 14 Clinical risk and protective factors in a sample of 317 male forensic psychiatric patients across two time points: at the time of admission to the forensic psychiatric centers (T1) and at the time of unconditional release (T2). In terms of network structure, the strongest risk edge was between “hostility–violation of terms” at T1, and between “hostility–impulsivity” at T2. “Problem insight–crime responsibility” was the strongest protective edge, and “impulsivity–coping skills” was the strongest between-cluster edge, at both time points, respectively. In terms of strength centrality, “cooperation with treatment” had the highest strength centrality at both measurement occasions. This study expands the risk assessment field toward a better understanding of dynamic relationships between individual clinical risk and protective factors and points to the highly central risk and protective factors, which would be the best for future treatment targets.
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