The Discriminative Ability of the Azeri Version of the Strengths and Difficulties Questionnaire in Outpatient Practice.

In this study we examined the validity of the Azeri version of the Strengths and Difficulties Questionnaire (SDQ). The SDQ was administered to the parents of two samples of 4-16-year-old children: the case group was drawn from children presenting to the psychiatric outpatient service (n = 347) and the comparison group from the pediatric outpatient service (n = 267). The total difficulties score and the scores for each subscale were compared between two groups. The proportion of children with the total difficulties score in the abnormal range was higher in the case group than in the comparison group (74 and 34 %, p < 0.001). The mean difficulties score difference between two groups was significant (mean difference = 6.3, p < 0.001). The Receiver Operating Characteristics analysis showed good discriminative ability for the total difficulties score and difficulties subscales (p < 0.001). SDQ distinguished well between groups.

The Strengths and Difficulties Questionnaire in the Bergen Child Study: a conceptually and methodically motivated structural analysis.

OBJECTIVE: To test Goodman's theoretical 5-factor model of the Strengths and Difficulties Questionnaire (SDQ) in an analysis of the Norwegian parent (P) and teacher (T) versions of the questionnaire. METHOD: The T-SDQ was analyzed for 8,999 (95.4% of all) children in primary school grades 2-4 in Bergen, Norway, whereas the P-SDQ was examined for 6,430 children (68.2%). Main analyses were exploratory and confirmatory factor analyses. RESULTS: The analyses supported a modestly modified version of Goodman's 5-factor model for both the P-SDQ and the T-SDQ. The correlations between latent factors were high, particularly when the conduct problem factor was involved, reflecting a high level of overlap between the problem areas. Cross-informant correlation between parents and teachers was moderate to high for the problem subscales and considerably higher than the corresponding correlation between subscales that has been found in earlier studies. CONCLUSIONS: None of the alternative models derived from the exploratory factor analysis fitted the data better than a slightly modified version of Goodman's 5-factor model, which showed acceptable goodness of fit.

Working overtime is associated with anxiety and depression: the Hordaland Health Study.

OBJECTIVE: To examine whether long work hours are associated with increased levels and prevalences of anxiety and depression. METHODS: Overtime workers (n = 1350) were compared with a reference group of 9092 workers not working overtime regarding anxiety and depression by means of the Hospital Anxiety and Depression Scale. Self-reported information on various work-related factors, demographics, lifestyle, and somatic health was included. RESULTS: Overtime workers of both genders had significantly higher anxiety and depression levels and higher prevalences of anxiety and depressive disorders compared with those working normal hours. Findings suggest a dose-response relationship between work hours and anxiety or depression. CONCLUSIONS: Working overtime is associated with increased levels of anxiety and depression. The working groups differed significantly regarding several factors including income and heavy manual labor.

A controlled study of job strain in primary-treated cancer patients without metastases.

To explore job strain in Norwegian primary-treated cancer survivors compared to matched controls from the general population. The study has a cross-sectional, matched case-control design. A sample of 417 employed cancer survivors (208 females with breast cancer and 209 males with testicular or prostate cancer) who had been diagnosed 1-5 years prior to the study and were tumor-free rated themselves on the Demands-Control-Support Questionnaire (DCSQ). Their ratings were compared to those of 417 employed controls from the general population, matched with the survivors on time of investigation, gender, age and municipality of living. No differences in job strain were observed between cancer survivors and controls, or between subgroups of survivors, except that female survivors experienced more strain than males. In certain subgroups statistically significant differences on the DCSQ were found: older survivors showed higher scores on demands than their controls, female survivors reported lower control and higher strain than male survivors, and older male survivors felt higher demands than younger ones. However, the effect sizes of these differences were so small (< 0.20) that they hardly were relevant for the work situation. In multivariate analyses survivorship versus control status was not significantly associated with any of the DCSQ measures. The job strain of these cancer survivors did not differ in any work relevant way from their controls, and survivorship status was not significantly associated with job strain. A longer follow-up of survivors is necessary in order to draw conclusion about the stability of these findings over time.

Are men more depressed than women in Norway? Validity of the Hospital Anxiety and Depression Scale.

OBJECTIVE AND METHODS: The aim was to evaluate the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) by comparing the gender-specific scores with another self-rated measure of mental health (MH), the SF-12 Health Survey, in a large general population (N=16,116). RESULTS: Using a score of 8 as a cut-off point for depression, the odds ratio for depression among men versus women was 1.29 [P<.0001; 95% confidence interval (CI): 1.16-1.43]. This contrasted with the results from the SF-12, in which the women had markedly and significantly poorer scores than men did. The women also reported a higher use of medicine for depression. Two of the seven HADS-D questions, related to interest in personal appearance and the ability to enjoy television, radio, and books, explained 70% of the higher depression scores among men. CONCLUSION: The results suggest that the validity related to gender differences in HADS-D is highly questionable.

The Swedish Demand-Control-Support Questionnaire (DCSQ): factor structure, item analyses, and internal consistency in a large population.

AIM: This paper examined the psychometric properties of the Swedish Demand-Control-Support Questionnaire (DCSQ), which is a shorter and modified version of Karasek's Job Content Questionnaire (JCQ). METHODS: The study encompassed 5,227 workers born in 1953-57 from the population-based Hordaland Health Study. DCSQ, a 17-item questionnaire, covers psychological demands, decision latitude, and social support in the workplace. The workers were manually classified according to the Standard Classification of Occupations. The main statistical methods were principal component analyses, and estimation of internal consistency and the subscales' shared variance by Cronbach's coefficient a and Pearson's correlation coefficients, respectively. RESULTS: The study gave support to the tri-dimensional factor structure of DCSQ. Decision latitude tended to split into skill discretion and decision authority in skill-level homogeneous samples. The specificity of the item loadings was satisfactory except for "conflicting demands". The inter-correlation of the three main subscales was weak. The internal consistency of the subscales was generally satisfactory. CONCLUSIONS: The psychometric properties of DCSQ are satisfactory. Being shorter and easier to use than the more comprehensive JCQ, DCSQ represents an important alternative, particularly if respondent burden and data-collection costs need to be minimized.

Testing the Job Demand-Control-Support model with anxiety and depression as outcomes: the Hordaland Health Study.

AIM: To test the strain/iso-strain, interaction and buffer hypotheses of the Job Demand-Control-Support model in relation to anxiety and depression. METHODS: Five thousand five hundred and sixty-two workers with valid Demand-Control-Support Questionnaire (DCSQ) scores were examined with the sub-scales of the Hospital Anxiety and Depression Scale as outcomes. Multiple statistical methods were applied. RESULTS: The strain and iso-strain hypotheses were confirmed. Generally, additive and non-interaction effects were found between psychological demands, control and social support. The buffer hypotheses were refuted. Results from analyses testing different interaction operationalizations were complementary. CONCLUSIONS: High demands, low control and low support individually, but particularly combined, are risk factors for anxiety and depression. Support is the DCSQ index most strongly associated with anxiety and depression in women. Assessment of psychosocial work environment may identify workers at risk, and serve as a basis for job-redesign.

Occupational differences in levels of anxiety and depression: the Hordaland Health Study.

The literature on anxiety and depression in work life is scarce. This study examined if and how levels of anxiety and depression differed between occupations. The study encompassed 17384 workers with occupations classified according to ISCO-88 (COM) from the population-based Hordaland Health Study. Levels of anxiety and depression were assessed by the anxiety and depression subscales of the Hospital Anxiety and Depression Scale (HADS-A and HADS-D, respectively). Main analytical method was univariate analysis of variance. Both HADS-A and HADS-D scores differed significantly between occupaional groups. HADS levels showed a distinct and inverse association with skill levels, most strongly observed for HADS-D scores in men. The relationship between skill levels and depression caseness was equally strong. Elementary occupations consistently showed higher-than-average HADS scores. The strength of the associations between depression score/caseness and skill levels are of clinical significance. Screening for depression should be considered in low-skill occupations.