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Updated: Sep 11, 2025

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
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影响参与数字物质使用预防计划的因素:使用能力,机会,动机模型和理论领域框架的定性研究

Nikolai Kiselev1, Rebecca Schaffner1, Zsofia Csepregi1

  • 1Swiss Research Institute for Public Health and Addiction (ISGF), University of Zurich, Konradstrasse 32, Zurich, 8005, Switzerland, 41 444481174.

JMIR mHealth and uHealth
|August 14, 2025
PubMed
概括

为青少年吸毒预防优化数字干预,需要了解用户参与度. 关键因素包括消息的时间,内容的相关性和社会支持,提醒和个性化的建议.

关键词:
在COM-B模型中.智能教练是一个智能教练.青少年 青少年 青少年 青少年大麻大麻大麻大麻大麻大麻大麻大麻这是一支烟草,一支香烟.数字干预是指数字干预.使用毒品使用毒品.参与 参与 参与 参与参与度优化 参与度优化移动健康 移动健康 移动健康 移动健康移动健康的移动健康预防 预防 预防参与计划参与计划参与定性研究是一种定性研究.社会影响社会影响.社会支持社会支持使用物质使用物质.使用物质预防使用物质的预防.青少年 青少年 青少年 青少年文本 文本 文本理论领域的框架框架.培训计划 培训计划 培训计划

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