青少年与多组件mHealth工具的接触:在干预试验中识别使用模式,决定因素和健康行为变化
Carmen Peuters1,2,3, Ann DeSmet4,5, Laura Maenhout2
1Department of Experimental-Clinical and Health Psychology, Faculty of Psychology and Educational Sciences, Ghent University, Henri Dunantlaan 2, Ghent, 9000, Belgium, 32 9 264 64 61.
JMIR mHealth and uHealth
|August 18, 2025
概括
青少年在移动健康 (mHealth) 干预#LIFEGOALS时表现出不同的参与风格,但没有一种单一的风格显著改善了健康行为. 建议根据个体特征量身定制干预措施,以提高青少年参与度.
科学领域:
- 青少年健康 青少年健康
- 数字健康干预措施 数字健康干预措施
- 行为科学 行为科学
背景情况:
- 关于青少年参与移动健康 (mHealth) 干预的研究有限.
- 青少年参与被广泛认为会影响移动健康干预措施的有效性.
研究的目的:
- 通过#LIFEGOALS mHealth干预研究青少年参与模式.
- 识别不同的青少年参与风格及其与个人特征的相关性.
- 确定特定的参与风格是否预测健康行为的变化.
主要方法:
- 159名青少年参加了为期12周的mHealth干预 (#LIFEGOALS),促进健康行为和心理健康.
- 收集了使用数据和自我报告,以分析行为和体验参与.
- 探索性集群分析确定了参与风格,回归模型评估了它们对行为变化的影响.
主要成果:
- 青少年参与mHealth干预的参与度在第一周后显著下降.
- 确定了四种不同的参与风格:叙事,应用程序,活动追踪器 (Fitbit) 和没有使用.
- 参与风格没有显著预测健康行为结果的变化.
结论:
- 青少年与mHealth干预的参与有所不同,并确定了不同的风格.
- 根据个人,人际关系和背景因素调整移动健康干预措施至关重要.
- 低整体参与度可能限制了在不同参与风格中检测出显著的健康影响.
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