1 Background Major depressive disorder (MDD) in college students is associated with substantial burden. 2 Aims To assess 1‐year incidence of MDD among incoming freshmen and predictors of MDD‐incidence in a representative sample of students. 3 Method Prospective cohort study of first‐year college students (baseline: n = 2,519, 1‐year follow‐up: n = 958) 4 Results The incidence of MDD within the first year of college was 6.9% (SE = 0.8). The most important individual‐level predictors of onset were prior suicide plans and/or attempts (OR = 9.5). The strongest population‐level baseline predictors were history of childhood–adolescent trauma, stressful experience in the past 12 months, parental psychopathology, and other 12‐month mental disorder. Multivariate cross‐validated prediction (cross‐validated AUC = 0.73) suggest that 36.1% of incident MDD cases in a replication sample would occur among the 10% of students at highest predicted risk (24.5% predicted incidence in this highest‐risk subgroup). 5 Conclusions Screening at college entrance is a promising strategy to identify students at risk of MDD onset, which may improve the development and deployment of targeted preventive interventions.

Background: Research on the effectiveness of treatments for subthreshold depression (sD) is still scarce. The aim of the study was to evaluate the efficacy of a web-based guided self-help intervention (GET.ON Mood Enhancer) in the treatment of sD. Methods: Participants with sD (n = 406) recruited from the general population via a large health insurance company were randomly allocated to a web-based cognitive behavioural intervention or to enhanced care-as-usual. The primary outcome was the reduction in depressive symptom severity as measured with the Center for Epidemiological Studies Depression Scale at post-treatment and at 6-month follow-up. Results: Participants in the intervention group showed a significantly greater pre-post reduction in depressive symptom severity (d = 1.06; 95% CI: 0.86-1.27) compared to the control condition (d = 0.29; 95% CI: 0.10-0.49). The corresponding between-group effect size was d = 0.69 (95% CI: 0.49-0.89). At 6-month follow-up the effect was reduced to d = 0.28 (95% CI: 0.09-0.48) but was still statistically significant (F1, 403 = 9.240, p = 0.003). Conclusions: This study lends support to the idea that problem solving coupled with behavioural activation is an effective treatment for sD. In addition, the delivery of this intervention over the Internet might be a promising strategy for the dissemination of psychological interventions for sD on a large scale.

Psychological interventions for the prevention of depression might be a cost-effective way to reduce the burden associated with depressive disorders. To evaluate the cost-effectiveness of a Web-based guided self-help intervention to prevent major depressive disorder (MDD) in people with subthreshold depression (sD). A pragmatic randomized controlled trial was conducted with follow-up at 12 months. Participants were recruited from the general population via a large statutory health insurance company and an open access website. Participants were randomized to a Web-based guided self-help intervention (ie, cognitive-behavioral therapy and problem-solving therapy assisted by supervised graduate students or health care professionals) in addition to usual care or to usual care supplemented with Web-based psycho-education (enhanced usual care). Depression-free years (DFYs) were assessed by blinded diagnostic raters using the telephone-administered Structured Clinical Interview for DSM-IV Axis Disorders at 6- and 12-month follow-up, covering the period to the previous assessment. Costs were self-assessed through a questionnaire. Costs measured from a societal and health care perspective were related to DFYs and quality-adjusted life years (QALYs). In total, 406 participants were enrolled in the trial. The mean treatment duration was 5.84 (SD 4.37) weeks. On average, participants completed 4.93 of 6 sessions. Significantly more DFYs were gained in the intervention group (0.82 vs 0.70). Likewise, QALY health gains were in favor of the intervention, but only statistically significant when measured with the more sensitive SF-6D. The incremental per-participant costs were €136 (£116). Taking the health care perspective and assuming a willingness-to-pay of €20,000 (£17,000), the intervention's likelihood of being cost-effective was 99% for gaining a DFY and 64% or 99% for gaining an EQ-5D or a SF-6D QALY. Our study supports guidelines recommending Web-based treatment for sD and adds that this not only restores health in people with sD, but additionally reduces the risk of developing a MDD. Offering the intervention has an acceptable likelihood of being more cost-effective than enhanced usual care and could therefore reach community members on a wider scale. German Clinical Trials Register: DRKS00004709; http://www.drks.de/DRKS00004709 (Archived by WebCite at http://www.webcitation.org/6kAZVUxy9).

Psychological interventions are increasingly discussed as a method to prevent major depressive disorder (MDD) in adults who already experience subthreshold depressive symptoms. In this individual participant data meta-analysis, we quantify the effect of preventive interventions against control on MDD onset in this population, and explore effect modifiers. In this systematic review and individual participant data meta-analysis, we screened full-texts of eligible studies within the Metapsy research domain for articles on psychological interventions for depression, from database inception to May 1, 2023, published in English, German, Spanish, and Dutch. We included individual participant data of randomised trials comparing psychological interventions with a control group regarding their effects on MDD onset in adults with subthreshold depressive symptoms but no MDD at baseline, confirmed by standardised diagnostic interviews. Risk of bias was assessed using the RoB 2 tool. Effect on the onset of MDD (the primary outcome) and moderators were analysed using one-stage individual participant data meta-analysis. Survival analyses were conducted to examine effects on time to MDD onset within 12 months. We involved people with related lived experience in the study design and implementation. This study is registered with PROSPERO, CRD42017058585. 30 of 42 eligible randomised controlled trials with 7201 participants (2227 [30·9%] male, 4957 [68·9%] female, and 17 [0·2%] preferred not to report their sex) were included in our analysis (3697 participants had intervention and 3504 participants had control). The mean age of participants was 49·9 years (SD 19·2). Of the 3152 participants with reported ethnicity, 1608 (51·0%) were White. Five studies received a high risk of bias rating. Psychological interventions were associated with significantly reduced MDD incidence at post-treatment (incidence rate ratio [IRR] 0·57 [95% CI 0·35-0·93]; τ²=0·29; 18 studies), within 6 months (0·58 [0·39-0·88]; τ²=0·11; 18 studies), and within 12 months (0·67 [0·51-0·88]; τ²=0·05; 19 studies). No significant effect was observed at 24 months (IRR 1·16 [95% CI 0·66-2·03]; τ²=0·10; six studies). Preventive effects were stronger for individuals who had not previously had psychotherapy (IRR 0·39 [95% CI 0·25-0·62]) compared with those who had received psychotherapy before (0·92 [0·61-1·36]; p=0·029; seven studies). Although no overall linear association was identified, higher baseline depressive (Patient Health Questionnaire-9) and anxiety symptom (Generalized Anxiety Disorder-7) scores were associated with greater reductions in MDD onset risk. On the study level, delivery type appeared to moderate outcomes, with conference telephone calls being more effective than delivery via face-to-face, internet-based, and other formats (p=0·002), albeit based on only two studies of conference telephone calls with four comparisons. Other factors (eg, age) showed no significant differential effects. Our findings show the effectiveness of preventive psychological interventions for subthreshold depressive symptoms. Tailoring interventions to consider participant-level and study-level factors could help to increase the impact of such interventions on a population level. None.

Background: Chronic back pain (CBP) is linked to a higher prevalence and higher occurrence of major depressive disorder (MDD) and can lead to reduced quality of life. Unfortunately, individuals with both CBP and recurrent MDD are underidentified. Utilizing health care insurance data may provide a possibility to better identify this complex population. In addition, internet- and mobile-based interventions might enhance the availability of existing treatments and provide help to those highly burdened individuals.Objective: This pilot randomized controlled trial investigated the feasibility of recruitment via the health records of a German health insurance company. The study also examined user satisfaction and effectiveness of a 9-week cognitive behavioral therapy and Web- and mobile-based guided self-help intervention Get.Back in CBP patients with recurrent MDD on sick leave compared with a waitlist control condition.Methods: Health records from a German health insurance company were used to identify and recruit participants (N=76) via invitation letters. Study outcomes were measured using Web-based self-report assessments at baseline, posttreatment (9 weeks), and a 6-month follow-up. The primary outcome was depressive symptom severity (Center for Epidemiological Studies–Depression); secondary outcomes included anxiety (Hamilton Anxiety and Depression Scale), quality of life (Assessment of Quality of Life), pain-related variables (Oswestry Disability Index, Pain Self-Efficacy Questionnaire, and pain intensity), and negative effects (Inventory for the Assessment of Negative Effects of Psychotherapy).Results: The total enrollment rate with the recruitment strategy used was 1.26% (76/6000). Participants completed 4.8 modules (SD 2.6, range 0-7) of Get.Back. The overall user satisfaction was favorable (mean Client Satisfaction Questionnaire score=24.5, SD 5.2). Covariance analyses showed a small but statistically significant reduction in depressive symptom severity in the intervention group (n=40) at posttreatment compared with the waitlist control group (n=36; F1,76=3.62, P=.03; d=0.28, 95% CI −0.17 to 0.74). Similar findings were noted for the reduction of anxiety symptoms (F1,76=10.45; P=.001; d=0.14, 95% CI −0.31 to 0.60) at posttreatment. Other secondary outcomes were nonsignificant (.06≤P≤.44). At the 6-month follow-up, the difference between the groups with regard to reduction in depressive symptom severity was no longer statistically significant (F1,76=1.50, P=.11; d=0.10, 95% CI −0.34 to 0.46). The between-group difference in anxiety at posttreatment was maintained to follow-up (F1,76=2.94, P=.04; d=0.38, 95% CI −0.07 to 0.83). There were no statistically significant differences across groups regarding other secondary outcomes at the 6-month follow-up (.08≤P≤.42).Conclusions: These results suggest that participants with comorbid depression and CBP on sick leave may benefit from internet- and mobile-based interventions, as exemplified with the positive user satisfaction ratings. The recruitment strategy via health insurance letter invitations appeared feasible, but more research is needed to understand how response rates in untreated individuals with CBP and comorbid depression can be increased.Trial Registration: German Clinical Trials Register DRKS00010820; https://www.drks.de/drks_web/navigate.do? navigationId=trial.HTML&TRIAL_ID=DRKS00010820.