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The goal of this clinical trial is to utilize mobile-sensing techniques to produce and test a simplified and personalized treatment app, Smile for Life (SMILE), for youth diagnosed with an anxiety disorder.
The main questions it aims to answer are:
Researchers will compare the intervention to a control group (a group not given the SMILE app) to see if the intervention works to improve psychological functioning.
Participants will:
Background: The landscape of mental health treatment is expected to change due to the widespread use and availability of the Internet and mobile devices, as well as their increased capacity to deliver quality interventions. The development of treatment apps, such as the one investigated in the proposed study, will help to dismantle some of the barriers that prohibit youth from seeking or accessing treatment under the current health care model.
Smartphone interventions are particularly promising due to their ability to provide treatment exercises and monitor symptoms in situ (i.e., in real-time), immediately after or before pivotal events. A recent systematic review pointed out that some studies utilizing these digital interventions have high attrition rates; in some cases, rising as high as 70%. This is likely due to the fact that youth do not enjoy using digital health care systems that they perceive as impersonal and confusing to navigate.
Objective: Thus, the present study aims to determine which mobile-sensed daily life behaviours are indicative of anxiety problems by comparing the mobile- sensing profiles of youth with and without anxiety disorders as well as to evaluate the effectiveness of the novel treatment app on youth with anxiety disorders. The SMILE app incorporates Cognitive Behavioral Therapy (CBT) based treatment functions to help patients improve their mental health.
Method: Participants will be recruited and randomly allocated into the intervention and the control group. The study will measure anxiety, depression, drug and alcohol problems, and sleep problems before and after the one-month intervention period as psychological variables. Additionally, a 3-month follow-up will be the defining response of success for the SMILE app as participants will be asked to rate the app's ease of use, helpfulness, understandability, and if they would recommend the app to a friend.
Implications: If the intervention demonstrates effectiveness in reducing anxiety symptoms, it will undergo further testing to confirm its reliability and generalizability across diverse youth populations. Following these evaluations, the intervention will be integrated into the clinical care of youth with anxiety disorders, serving as both a stand-alone treatment option and a supplemental tool to complement existing therapeutic approaches, such as cognitive-behavioral therapy (CBT). This dual application will enable its use in various care settings, enhancing accessibility and providing tailored support to address the unique needs of individuals. Ultimately, the intervention aims to improve treatment outcomes, empower youth in managing their anxiety, and reduce the overall burden of anxiety disorders on mental health services.
The study will examine if a significant reduction of anxiety symptoms can be achieved in youth using the novel treatment app. We intend to recruit 120 participants with anxiety disorders between the ages of 12 and 21.
It is hypothesized that:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| SMILE Intervention Group | Experimental | The intervention group used the SMILE App, and the Predicting Risk and Outcomes of Social InTerActions (PROSIT) app, which is a mobile sensing app. |
|
| Control Non-SMILE Intervention Group | No Intervention | Participants in the control group downloaded and used only the PROSIT app, they did not use the SMILE App. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| SMILE Intervention App | Behavioral | The SMILE app, an iOS and Android compatible smartphone app, is based on effective CBT-based treatment features to help patients manage anxiety symptomology. Access requires a unique login. The SMILE app utilizes three relaxation features: calm breathing, mindfulness meditation, and deep muscle relaxation; one cognitive feature, thought journaling and the challenging of thoughts; one self-monitoring technique; a positive imagery game; and a feature aimed to reduce avoidance behaviour through exposure. The app will be self-guided, with no additional human involvement needed. Participants will be instructed to actively engage with at least one of the app's major functions for a minimum of 3 minutes per day. |
| Measure | Description | Time Frame |
|---|---|---|
| Anxiety and sleep problems | Anxiety symptoms will be assessed using the 41-item SCARED questionnaire, where participants rate symptoms as not/hardly ever true (1), somewhat/sometimes true (2), or very/often true (3). Sleep problems will be assessed with the 7-item ISI, measuring difficulty falling/staying asleep and waking too early on a 5-point scale (0 = none, 4 = very severe). The ISI also evaluates sleep satisfaction, the noticeability of sleep issues, worry/distress about sleep, and their impact on daily functioning. Both tools will be administered pre- and post-intervention and at a three-month follow-up, providing comprehensive data on changes in anxiety and sleep problems over time. These measures will help determine the intervention's effectiveness in reducing anxiety and improving sleep quality. | One month |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Sandra M Meier, PhD | Dalhousie University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Dalhousie University | Halifax | Nova Scotia | B3H 4R2 | Canada |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 41759674 | Derived | Hagalwadi J, Sutherland D, Dolek S, Marin-Dragu S, Bagnell A, Wozney L, Orji R, Meier S. An app responding to behavior of people to promote mental wellbeing in anxious youth. J Affect Disord. 2026 Jul 1;404:121503. doi: 10.1016/j.jad.2026.121503. Epub 2026 Feb 25. |
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Participant data will be made available upon reasonable request to Dr. Sandra Meier (PI).
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| ID | Term |
|---|---|
| D001008 | Anxiety Disorders |
| D020447 | Parasomnias |
| ID | Term |
|---|---|
| D001523 | Mental Disorders |
| D012893 | Sleep Wake Disorders |
| D009422 | Nervous System Diseases |
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