Annemieke van Straten

Psychotherapy for depression in adults: a meta-analysis of comparative outcome studies

Although the subject has been debated and examined for more than 3 decades, it is still not clear whether all psychotherapies are equally efficacious. The authors conducted 7 meta-analyses (with a total of 53 studies) in which 7 major types of psychological treatment for mild to moderate adult depression (cognitive-behavior therapy, nondirective supportive treatment, behavioral activation treatment, psychodynamic treatment, problem-solving therapy, interpersonal psychotherapy, and social skills training) were directly compared with other psychological treatments. Each major type of treatment had been examined in at least 5 randomized comparative trials. There was no indication that 1 of the treatments was more or less efficacious, with the exception of interpersonal psychotherapy (which was somewhat more efficacious; d = 0.20) and nondirective supportive treatment (which was somewhat less efficacious than the other treatments; d = -0.13). The drop-out rate was significantly higher in cognitive-behavior therapy than in the other therapies, whereas it was significantly lower in problem-solving therapy. This study suggests that there are no large differences in efficacy between the major psychotherapies for mild to moderate depression.

Depression and obesity: A meta-analysis of community based studies.

To examine the nature of the association between depression and obesity and to determine possible underlying (demographic) factors, we conducted a meta-analysis of cross-sectional studies in the general population. We searched in major bibliographical databases (PubMed, Embase and PsycInfo) for studies examining the association between obesity and depression in the adult, general population. Seventeen studies were included with a total of 204,507 participants. We calculated an overall pooled mean effect size and conducted subgroup analyses on gender, age, continent of residence, year of publication and several differences in measurement methods. After removing two outliers, the overall association for depression and obesity was very significant. Subgroup analyses showed a trend indicating a possible significant difference between males and females. We found a significant positive association for females and a smaller non-significant association for males. The results of other subgroup analyses showed no significant differences. According to the findings of this study, there is a significant positive association between depression and obesity in the general population, which appeared to be more marked among women. Further research should focus on underlying factors and examine causal pathways between depression and obesity.

Internet-administered cognitive behavior therapy for health problems: A systematic review.

Cognitive-behavioral interventions are the most extensively researched form of psychological treatment and are increasingly offered through the Internet. Internet-based interventions may save therapist time, reduce waiting-lists, cut traveling time, and reach populations with health problems who can not easily access other more traditional forms of treatments. We conducted a systematic review of twelve randomized controlled or comparative trials. Studies were identified through systematic searches in major bibliographical databases. Three studies focused on patients suffering from pain, three on headache, and six on other health problems. The effects found for Internet interventions targeting pain were comparable to the effects found for face-to-face treatments, and the same was true for interventions aimed at headache. The other interventions also showed some effects, although effects differed across target conditions. Internet-delivered cognitive-behavioral interventions are a promising addition and complement to existing treatments. The Internet will most likely assume a major role in the future delivery of cognitive-behavioral interventions to patients with health problems.

Preventing the onset of depressive disorders: A meta-analytic review of psychological interventions.

OBJECTIVE A growing number of studies have tested the efficacy of preventive interventions in reducing the incidence of depressive disorders. Until now, no meta-analysis has integrated the results of these studies. METHOD The authors conducted a meta-analysis. After a comprehensive literature search, 19 studies were identified that met inclusion criteria. The studies had to be randomized controlled studies in which the incidence of depressive disorders (based on diagnostic criteria) in an experimental group could be compared with that of a control group. RESULTS The mean incidence rate ratio was 0.78, indicating a reduction of the incidence of depressive disorders by 22% in experimental compared with control groups. Heterogeneity was low to moderate (I(2)=33%). The number needed to treat to prevent one case of depressive disorder was 22. Moderator analyses revealed no systematic differences between target populations or types of prevention (universal, selective, or indicated). The data included indications that prevention based on interpersonal psychotherapy may be more effective than prevention based on cognitive-behavioral therapy. CONCLUSIONS Prevention of new cases of depressive disorders does seem to be possible. Prevention may become an important way, in addition to treatment, to reduce the enormous public health burden of depression in the coming years.

Effectiveness of a Web-Based Self-Help Intervention for Symptoms of Depression, Anxiety, and Stress: Randomized Controlled Trial

Background Self-help therapies are often effective in reducing mental health problems. We developed a new Web-based self-help intervention based on problem-solving therapy, which may be used for people with different types of comorbid problems: depression, anxiety, and work-related stress. Objective The aim was to study whether a Web-based self-help intervention is effective in reducing depression, anxiety, and work-related stress (burnout). Methods A total of 213 participants were recruited through mass media and randomized to the intervention (n = 107) or a waiting list control group (n = 106). The Web-based course took 4 weeks. Every week an automated email was sent to the participants to explain the contents and exercises for the coming week. In addition, participants were supported by trained psychology students who offered feedback by email on the completed exercises. The core element of the intervention is a procedure in which the participants learn to approach solvable problems in a structured way. At pre-test and post-test, we measured the following primary outcomes: depression (CES-D and MDI), anxiety (SCL-A and HADS), and work-related stress (MBI). Quality of life (EQ-5D) was measured as a secondary outcome. Intention-to-treat analyses were performed. Results Of the 213 participants, 177 (83.1%) completed the baseline and follow-up questionnaires; missing data were statistically imputed. Of all 107 participants in the intervention group, 9% (n = 10) dropped out before the course started and 55% (n = 59) completed the whole course. Among all participants, the intervention was effective in reducing symptoms of depression (CES-D: Cohen’s d = 0.50, 95% confidence interval (CI) 0.22-0.79; MDI: d = 0.33, 95% CI 0.03-0.63) and anxiety (SCL-A: d = 0.42, 95% CI 0.14-0.70; HADS: d = 0.33, 95% CI 0.04-0.61) as well as in enhancing quality of life (d = 0.31, 95% CI 0.03-0.60). Moreover, a higher percentage of patients in the intervention group experienced a significant improvement in symptoms (CES-D: odds ratio [OR] = 3.5, 95% CI 1.9-6.7; MDI: OR = 3.7, 95% CI 1.4-10.0; SCL-A: OR = 2.1, 95% CI 1.0-4.6; HADS: OR = 3.1, 95% CI 1.6-6.0). Patients in the intervention group also recovered more often (MDI: OR = 2.2; SCL-A: OR = 2.0; HADS < 8), although these results were not statistically significant. The course was less effective for work-related stress, but participants in the intervention group recovered more often from burnout than those in the control group (OR = 4.0, 95% CI 1.2-13.5). Conclusions We demonstrated statistically and clinically significant effects on symptoms of depression and anxiety. These effects were even more pronounced among participants with more severe baseline problems and for participants who fully completed the course. The effects on work-related stress and quality of life were less clear. To our knowledge, this is the first trial of a Web-based, problem-solving intervention for people with different types of (comorbid) emotional problems. The results are promising, especially for symptoms of depression and anxiety. Further research is needed to enhance the effectiveness for work-related stress. Trial Registration International Standard Randomized Controlled Trial Number (ISRCTN) 14881571

Interpersonal Psychotherapy for Depression: A Meta-Analysis

OBJECTIVE Interpersonal psychotherapy (IPT), a structured and time-limited therapy, has been studied in many controlled trials. Numerous practice guidelines have recommended IPT as a treatment of choice for unipolar depressive disorders. The authors conducted a meta-analysis to integrate research on the effects of IPT. METHOD The authors searched bibliographical databases for randomized controlled trials comparing IPT with no treatment, usual care, other psychological treatments, and pharmacotherapy as well as studies comparing combination treatment using pharmacotherapy and IPT. Maintenance studies were also included. RESULTS Thirty-eight studies including 4,356 patients met all inclusion criteria. The overall effect size (Cohens d) of the 16 studies that compared IPT and a control group was 0.63 (95% confidence interval [CI]=0.36 to 0.90), corresponding to a number needed to treat of 2.91. Ten studies comparing IPT and other psychological treatments showed a nonsignificant differential effect size of 0.04 (95% CI=-0.14 to 0.21; number needed to treat=45.45) favoring IPT. Pharmacotherapy (after removal of one outlier) was more effective than IPT (d=-0.19, 95% CI=-0.38 to -0.01; number needed to treat=9.43), and combination treatment was not more effective than IPT alone, although the paucity of studies precluded drawing definite conclusions. Combination maintenance treatment with pharmacotherapy and IPT was more effective in preventing relapse than pharmacotherapy alone (odds ratio=0.37; 95% CI=0.19 to 0.73; number needed to treat=7.63). CONCLUSIONS There is no doubt that IPT efficaciously treats depression, both as an independent treatment and in combination with pharmacotherapy. IPT deserves its place in treatment guidelines as one of the most empirically validated treatments for depression.

Internet-Based Treatment for Adults with Depressive Symptoms: Randomized Controlled Trial

Background Many depressed people do not receive help for their symptoms, and there are various barriers that impede help-seeking. The Internet may offer interesting alternatives for reaching and helping people with depression. Depression can be treated effectively with Internet-based cognitive behavioral therapy (CBT), but a short intervention based on problem solving therapy (PST) could constitute a worthwhile alternative to CBT. Objective In this study we evaluated the effectiveness of Internet-based CBT and Internet-based PST in comparison to a waiting list control group (WL), and we determined the differences between the two treatments. Methods We conducted a 3-arm randomized controlled trial to compare CBT, PST, and WL. The main inclusion criterion was presence of depressive symptoms (≥ 16 on the Center for Epidemiological Studies Depression scale). CBT and PST consisted of eight and five weekly lessons respectively. Participants were supported by email. Self-report measures of depression, anxiety, and quality of life were completed at pretest and after 5, 8, and 12 weeks. Results A total of 263 participants were randomized to the three conditions (CBT: n=88; PST: n=88; WL: n=87). Of the 263 participants, 184 (70%) completed questionnaires after 5 weeks, 173 (66%) after 8 weeks, and 151 (57%) after 12 weeks. Between-group effect sizes for depressive symptoms were 0.54 for CBT after 8 weeks (95% confidence interval (CI): 0.25 - 0.84) and 0.47 for PST after 5 weeks (95% CI: 0.17 - 0.77). These effects were further improved at 12 weeks (CBT: 0.69, 95% CI: 0.41 - 0.98; PST: 0.65, 95% CI: 0.36 - 0.95). For anxiety, effect sizes were also at a medium level. Effect sizes for quality of life were low. The number of participants showing clinically significant change at 12 weeks was significantly higher for CBT (n = 34, 38.6%) and PST (n = 30, 34.1%), compared to WL (n = 0). Conclusions Both Internet-based treatments are effective in reducing depressive symptoms, although the effect of PST is realized more quickly. Trial Registration International Standard Randomized Controlled Trial Number (ISRCTN): 16823487; http://www.controlled-trials.com/ISRCTN16823487/16823487 (Archived by WebCite at http://www.webcitation.org/5cQsOj7xf).

Depression and body mass index, a u-shaped association

BackgroundResults of studies concerning the association between obesity and depression are conflicting. Some find a positive association, some a negative association and some find no association at all. Most studies, however, examine a linear association between Body Mass Index (BMI) and depression. The present study investigates if a nonlinear (U-shaped) trend is preferable over a linear trend to describe the relationship between BMI and depression, which means that both underweight and obesity are associated with depression.MethodsWe investigated the existence of such a U-curve in a sample of 43,534 individuals, aged between 18–90 years, who participated in a cross-sectional study (Continuous Survey of Living Conditions) of physical and mental health in the general population of the Netherlands. We calculated linear and nonlinear (quadratic) ANOVA with polynomial contrast and curve fit regression statistics to investigate whether there was a U-shaped trend in the association between BMI and depression.ResultsWe find a very significant U-shaped association between BMI categories (underweight, normal, overweight and obesity) and depression (p ≤ 0.001). There is a trend indicating a significant difference in the association between males and females (p = 0.05). We find a very significant U-shaped (quadratic) association between BMI (BMI2) and depression (p ≤ 0.001), continuous BMI is not linearly associated with depression (p = 0.514).ConclusionThe results of this study give evidence for a significant U-shaped trend in the association between BMI and depression.

Psychotherapy for chronic major depression and dysthymia: A meta analysis

Although several studies have examined the effects of psychotherapy on chronic depression and dysthymia, no meta-analysis has been conducted to integrate results of these studies. We conducted a meta-analysis of 16 randomized trials examining the effects of psychotherapy on chronic depression and dysthymia. We found that psychotherapy had a small but significant effect (d=0.23) on depression when compared to control groups. Psychotherapy was significantly less effective than pharmacotherapy in direct comparisons (d=-0.31), especially SSRIs, but that this finding was wholly attributable to dysthymic patients (the studies examining dysthymia patients were the same studies that examined SSRIs). Combined treatment was more effective than pharmacotherapy alone (d=0.23) but even more so with respect to psychotherapy alone (d=0.45), although again this difference may have reflected the greater proportion of dysthymic samples in the latter. No significant differences were found in drop-out rates between psychotherapy and the other conditions. We found indications that at least 18 treatment sessions are needed to realize optimal effects of psychotherapy. We conclude that psychotherapy is effective in the treatment of chronic depression and dysthymia but probably not as effective as pharmacotherapy (particularly the SSRIs).

Psychological treatment of depression: A meta-analytic database of randomized studies

BackgroundA large number of randomized controlled studies have clearly demonstrated that psychological interventions are effective in the treatment of depression. The number of studies in this area is increasing rapidly. In this paper, we present a database of controlled and comparative outcome studies on psychological treatments of depression, based on a series of meta-analyses published by our group. The database can be accessed freely through the Internet.DescriptionWe conducted a comprehensive literature search of the major bibliographical databases (Pubmed; Psycinfo; Embase; Cochrane Central Register of Controlled Trials) and we examined the references of 22 earlier meta-analyses of psychological treatment of depression. We included randomized studies in which the effects of a psychological therapy on adults with depression were compared to a control condition, another psychological intervention, or a combined treatment (psychological plus pharmacological). We conducted nine meta-analyses of subgroups of studies taken from this dataset. The 149 studies included in these 9 meta-analyses are included in the current database. In the 149 included studies, a total of 11,369 patients participated. In the database, we present selected characteristics of each study, including characteristics of the patients (the study population, recruitment method, definition of depression); characteristics of the experimental conditions and interventions (the experimental conditions, N per condition, format, number of sessions); and study characteristics (measurement times, measures used, attrition, type of analysis and country).ConclusionThe data on the 149 included studies are presented in order to give other researchers access to the studies we collected, and to give background information about the meta-analyses we have published using this dataset. The number of studies examining the effects of psychological treatments of depression has increased considerably in the past decades, and this will continue in the future. The database we have presented in this paper can help to integrate the results of these studies in future meta-analyses and systematic reviews on psychological treatments for depression.