Major depressive disorder (MDD) is highly prevalent and burdensome for individuals and society. While there are psychological interventions able to prevent and treat MDD, uptake remains low. To overcome structural and attitudinal barriers, an indirect approach of using online insomnia interventions seems promising because insomnia is less stigmatized, predicts MDD onset, is often comorbid and can outlast MDD treatment. This individual-participant-data meta-analysis evaluated the potential of the online insomnia intervention GET.ON Recovery as an indirect treatment to reduce depressive symptom severity (DSS) and potential MDD onset across a range of participant characteristics.

Efficacy on depressive symptom outcomes was evaluated using multilevel regression models controlling for baseline severity. To identify potential effect moderators, clinical, sociodemographic, and work-related variables were investigated using univariable moderation and random-forest methodology before developing a multivariable decision tree.

IPD were obtained from four of seven eligible studies (N = 561); concentrating on workers with high work-stress. DSS was significantly lower in the intervention group both at post-assessment (d = −0.71 [95% CI−0.92 to −0.51]) and at follow-up (d = −0.84 [95% CI −1.11 to −0.57]). In the subsample (n = 121) without potential MDD at baseline, there were no significant group differences in onset of potential MDD. Moderation analyses revealed that effects on DSS differed significantly across baseline severity groups with effect sizes between d = −0.48 and −0.87 (post) and d = − 0.66 to −0.99 (follow-up), while no other sociodemographic, clinical, or work-related characteristics were significant moderators.

An online insomnia intervention is a promising approach to effectively reduce DSS in a preventive and treatment setting.

The use of technological supports in psychotherapeutic interventions has been widespread in recent years. Since the COVID-19 pandemic, the increase has been greater. The feasibility of online group interventions has been proved in previous studies. Research comparing dropout rates in group interventions with clinical population that include mindfulness training is infrequent.

To compare the difference in dropout rates between online and face-to-face mindfulness-based group interventions.

This study was carried out in a Mental Health Unit in Colmenar Viejo (Madrid, Spain). One hundred thirty-five adult patients with anxiety disorders were included in group interventions (74 face-to-face; 61 online). The group treatments were Acceptance and Commitment Therapy and a Mindfulness-based Emotional Regulation intervention, during 8 weeks, guided by two Clinical Psychology residents. A descriptive analysis of dropout rates (participants attending 3 or fewer sessions out of the total number of participants starting the intervention) was performed.

Of the 135 patients included, 8 did not participate in the interventions (5 face-to-face; 3 online), which represents a 5.93% rejection rate; 6.76% for the face-to-face intervention and 4.92% for the online intervention. Of the remaining sample (127 participants), a total dropout rate of 12.6% was obtained, with 8.69% in the face-to-face intervention versus 17.24% online.

A higher dropout rate was obtained in online interventions compared to face-to-face, with an increase of almost double. Research on specific factors that may interfere with treatment adherence to online group interventions is needed.

No significant relationships.

This is a quasi-experimental and pioneering study in Portugal.

(1) to provide assessment materials for symptoms of internalized homophobia, depression, and anxiety targeted at LGBT people; (2) offer support materials for psychotherapeutic work-oriented in the areas of internalized homonegativity, depression, and anxiety; and (3) offer monitoring measures throughout the program to demonstrate changes. It consists of three phases (pre-program evaluation, therapeutic activities and post-program evaluation).

38 LGBT + individuals participated, average age was 34.15 years, 30 self-identified as male. Measures used for the pre and post-intervention assessment were the sociodemographic questionnaire, the LGBT identity questionnaire, the Rosenberg self-esteem scale, and the BSI-18. Participants were invited to join the program online, through a platform created for this purpose, where ethical aspects were clarified, namely: confidentiality and commitment to adherence. Therapeutic tasks were sent by email or WhatsApp depending on the preference of each participant.

Relevant differences in internalized homophobia, depressive, and anxious symptoms between the pre and post-intervention moments were observed, indicating that the program is effective in changing these symptoms.

The importance of validating this type of program allows reaching “hidden” populations by offering online support that minimizes the effects of sexual stigma on LGBT + populations.