The effect of cognitive behavioral therapy text messages on mood: A micro-randomized trial.
Marvyn R Arévalo AvalosJing XuCaroline Astrid FigueroaAlein Y Haro-RamosBibhas ChakrabortyAdrian AguileraPublished in: PLOS digital health (2024)
The StayWell at Home intervention, a 60-day text-messaging program based on Cognitive Behavioral Therapy (CBT) principles, was developed to help adults cope with the adverse effects of the global pandemic. Participants in StayWell at Home were found to show reduced depressive and anxiety symptoms after participation. However, it remains unclear whether the intervention improved mood and which intervention components were most effective at improving user mood during the pandemic. Thus, utilizing a micro-randomized trial (MRT) design, we examined two intervention components to inform the mechanisms of action that improve mood: 1) text messages delivering CBT-informed coping strategies (i.e., behavioral activation, other coping skills, or social support); 2) time at which messages were sent. Data from two independent trials of StayWell are included in this paper. The first trial included 303 adults aged 18 or older, and the second included 266 adults aged 18 or older. Participants were recruited via online platforms (e.g., Facebook ads) and partnerships with community-based agencies aiming to reach diverse populations, including low-income individuals and people of color. The results of this paper indicate that participating in the program improved and sustained self-reported mood ratings among participants. We did not find significant differences between the type of message delivered and mood ratings. On the other hand, the results from Phase 1 indicated that delivering any type of message in the 3 pm-6 pm time window improved mood significantly over sending a message in the 9 am-12 pm time window. The StayWell at Home program increases in mood ratings appeared more pronounced during the first two to three weeks of the intervention and were maintained for the remainder of the study period. The current paper provides evidence that low-burden text-message interventions may effectively address behavioral health concerns among diverse communities.
Keyphrases
- bipolar disorder
- sleep quality
- social support
- randomized controlled trial
- depressive symptoms
- physical activity
- smoking cessation
- particulate matter
- air pollution
- sars cov
- healthcare
- quality improvement
- clinical trial
- coronavirus disease
- public health
- heavy metals
- study protocol
- social media
- obsessive compulsive disorder
- middle aged
- emergency department
- mental health
- risk factors
- climate change
- community dwelling
- machine learning
- phase ii
- risk assessment
- open label
- deep learning
- stress induced
- human health