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. 2023 May 5;10:e43227. doi: 10.2196/43227

Table 1.

Key characteristics of included studies.

First author, year, country Study design Recruitment Participants, N Sex Age range (years) Aim Use of codesign in chatbot development Dropout
Lee, 2017, Korea [32] Pre-post intervention Students from 2 same-sex high schools in Seoul, Korea 33 Female: n=24, 72.7%; Male: n=9, 27.3% 16-18 To test the feasibility of a mobile app Diet-A and examine whether Diet-A could be used to monitor dietary intake among adolescents N/Aa N/A
Padman, 2017, India [33] Exploratory analysis Students from 3 middle schools in urban India recruited for an RCT and deidentified participants from the RCT recruited in the explanatory analysis 14 Female: n=7, 50.0%; Male: n=7, 50.0% 10-11 To analyze game telemetry to understand user interactions from playing Fooya! and provide new insight for designing interventions via games to improve pediatric overweight and obesity rates N/A N/A
Pyky, 2017, Finland [34] RCTb Males who for conscripted for military service in Finland 496 Male: n=100, 100.0% Mean 17.8 To assess whether a tailored mobile physical activity intervention can improve life satisfaction and self-rated health among young adolescent men 16-20-year-old males involved in the design, development, and testing of the mobile service Lost to follow-up: n=151, 30.4%; Controls: n=167, 33.7%; Intervention: n=135, 27.2%
Stasinaki, 2021, Switzerland [35] RCT Children’s Hospital of Eastern Switzerl (specialized childhood obesity management center) 31 Female: n=13, 41.9%; Male: n=18, 58.1% 10-18 To assess whether PathMate2 can improve the BMI (kg/m2), physical capacities, and stress parameters in adolescents with obesity, under the supervision of pediatric obesity experts N/A Lost to follow-up: 0.1%
Maenhout, 2021, Belgium [36] Mixed methods pilot study Flemish secondary schools Phase 1: 36; Phase 2: 6; Phase 3: 81 Phase 1: Female: n=29, 80.6%; Male: n=7, 19.4%; Phase 2: Female: n=6, 100.0%; Phase 3: N/A 12-15 To assess the feasibility and engagement of a chatbot protype among adolescents to promote healthy behaviors Phase 1: focus groups to inform the development of the chatbot prototype, including content and design; Phase 2: pretest of the protype Phase 3: quit after receiving a wrong answer from the chatbot: n=61, 66.7%

aN/A: not applicable.

bRCT: randomized controlled trial.