PubMed · 13638937
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1958-04-15. DEPRESSION.. https://pubmed.ncbi.nlm.nih.gov/13638937/
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PURPOSE: To investigate the prevalence of depression and associated factors in patients (n = 100) with lumbar spinal stenosis selected for surgical treatment. METHOD: Depression was assessed with the 21-item Beck Depression Inventory. Psychological well-being was assessed with Life Satisfaction Scale, Toronto Alexithymia Scale and Sense of Coherence Scale. Physical functioning and pain were assessed with the Oswestry disability index, the questionnaire devised by Stucki and the Visual Analogue Scale. All questionnaires were administered before surgical treatment of lumbar spinal stenosis. RESULTS: Twenty percent of the patients with LSS were found to have clinically important depression. In univariate analyses, subjective disability measured with the Oswestry disability index, low sense of coherence and poor life satisfaction were common in depressed patients. In the multiple logistic regression analyses, being dissatisfied with life was associated with depression. When sense of coherence score was included in the model, then only low sense of coherence was independently associated with depression. Neither socio-demographic nor pain-related factors associated with depression. CONCLUSIONS: Clinically important depression is rather common among preoperative patients with lumbar spinal stenosis. The factors associated with depression are subjective disability of everyday living and decreased life satisfaction. A low sense of coherence is an important correlate of depression. The results underline the importance of assessing depression in clinical practice dealing with these patients.
AIMS/HYPOTHESIS: Evidence strongly suggests that depression and type 2 diabetes are associated, but the direction of the association is still unclear. Depression may occur as a consequence of having diabetes, but may also be a risk factor for the onset of type 2 diabetes. This study examined the latter association by reviewing the literature and conducting a meta-analysis of longitudinal studies on this topic. METHODS: Medline and PsycInfo were searched for articles published up to January 2005. All studies that examined the relationship between depression and the onset of type 2 diabetes were included. Pooled relative risks were calculated using fixed and random effects models. To explore sources of heterogeneity between studies, subgroup analyses and meta-regression analyses were performed. RESULTS: Nine studies met our inclusion criteria for this meta-analysis. The pooled relative risk was 1.26 (1.13-1.39) using the fixed effects model and 1.37 (1.14-1.63) using the random effects model. Heterogeneity between studies could not be explained by (1) whether studies controlled for undetected diabetes at baseline; (2) the method of diabetes assessment at follow-up; (3) the baseline overall risk of diabetes in the study population; and (4) follow-up duration. CONCLUSIONS/INTERPRETATION: Depressed adults have a 37% increased risk of developing type 2 diabetes mellitus. The pathophysiological mechanisms underlying this relationship are still unclear and warrant further research. A randomised controlled study is needed to test whether effective prevention or treatment of depression can reduce the incidence of type 2 diabetes and its health consequences.
This paper critically reviews empirical findings regarding current key assumptions underlying the nature and treatment of depression which heavily rely on the DSM approach. This review shows that empirical evidence provides little support for these assumptions. In response to these findings, an etiologically based, biopsychosocial, dynamic interactionism model of depression is proposed. This model could foster further integration in research on depression and assist in the development of guidelines for the treatment of depression that are better informed by research findings and more congruent with complex clinical realities.