Digital Positive Affect Intervention Study

Summary

Anxiety and depression are highly prevalent mental health disorders that impose a significant burden on individuals and public health systems worldwide (GBD 2019 Mental Disorders Collaborators, 2022). Although many existing treatments focus on symptom reduction through targeting negative emotions, fewer interventions specifically enhance positive emotional experiences, despite growing evidence that low positive affect is a key feature of both anxiety and depression. Face-to-face psychologist-led positive affect therapy (PAT) is a promising intervention that aims to cultivate positive emotions, engagement, and meaning, potentially leading to greater improvements in emotional well-being than traditional approaches (Craske et al., 2019). However, empirical evaluations of digitally-delivered, asynchronously-coached, scalable versions of the PAT remain limited (Craske et al., 2024; Firth et al., 2017). The present study thus aims to investigate the comparative efficacy of a digital positive affect intervention (PAI) in reducing symptoms of anxiety and depression and enhancing overall mental health outcomes. We utilize a two-arm randomized controlled trial (RCT) design to investigate the effectiveness of a six-week digitally delivered positive affect intervention (vs. self-monitoring active control; Zainal \& Newman, 2023) in reducing self-reported symptoms of anxiety and depression, as well as other secondary psychosocial outcomes, including sleep quality, quality of life, and emotion regulation. The treatment program comprises weekly evidence-based therapeutic material delivered online, and daily mental health (MH) mobile application prompts delivered thrice a day for the 6-week treatment period, based on evidence-based positive affect therapy principles. The active comparator comprises self-monitoring MH mobile application prompts for the 6-week treatment period. All participants will be assessed on several psychosocial outcomes at mid-treatment, post-treatment, and at 3-, 6-, and 12-month follow-up. The study hypothesizes that participants randomized to the digital PAI will experience greater improvement in anxious and depressive symptoms both immediately after treatment and up to a year later, compared to the self-monitoring MH app. Findings will contribute to growing evidence that digital PAI is an efficacious and feasible treatment to target and enhance positive emotions and related mental health outcomes in adults experiencing anxiety and depression.

Conditions

• Mild to Moderate Anxiety and Depression

Interventions

BEHAVIORAL

Digital positive affect intervention (PAI)

The Positive Affect Intervention (PAI) is a fully digital, self-guided program uniquely designed to deliver weekly 30-minute online sessions focused on cultivating positive emotions, meaning, and engagement, alongside daily ecological momentary prompts delivered thrice daily over six weeks. Distinctively, the intervention seamlessly integrates multimedia content (e.g., brief weekly videos introducing each session's core principles), practical exercises, and in-the-moment reflection, aiming to reinforce positive affect skills in real time. Its structure not only emphasizes proactive skill application through digital reminders but also systematically assesses user engagement and perceived helpfulness via ecological momentary assessments and post-session feedback questionnaires. Unlike conventional digital interventions that primarily focus on symptom reduction through passive content consumption, this PAI leverages continuous ecological momentary engagement via a dedicated mobile app, e

BEHAVIORAL

Self-monitoring intervention

The self-monitoring intervention serves as an active comparator designed to isolate the effects of mood self-awareness without introducing therapeutic content. Participants in this arm receive daily prompts via the Qualtrics mEMA mobile app, three times per day over a six-week period, instructing them to track their mood and emotional states through brief ecological momentary assessments (EMAs). Unlike the digital positive affect intervention, this arm does not include psychoeducational material, skills training, or active enhancement strategies; instead, it focuses solely on routine self-monitoring to control for digital engagement and expectancy effects. This minimalist structure allows for a clean contrast between passive self-observation and active therapeutic engagement, enabling robust evaluation of the added value of the Positive Affect Intervention beyond self-monitoring alone

Sponsors & Collaborators

• National University of Singapore

  lead OTHER

Study Design

Allocation

RANDOMIZED

Purpose

TREATMENT

Masking

SINGLE

Model

PARALLEL

Eligibility

Min Age

21 Years

Max Age

64 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2025-04-01

Primary Completion

2029-06-30

Completion

2029-06-30

Countries

• Singapore

Study Locations