在超理论模型中绘制运动行为抑制剂和促进剂的动态:使用文本挖掘分析进行全国跨部门研究
Kosuke Sakai1, Kota Fukai1, Yuko Furuya1
1Department of Preventive Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 2591193, Japan, 81 463 93 1121 ext 2612, 81 463 92 3549.
Interactive journal of medical research
|October 24, 2025
概括
理解运动行为变化需要量身定制的干预措施. 这项研究使用文本挖掘来识别跨越理论模型阶段的感知障碍和激励因素是如何转移的,揭示了有效促进体育活动的阶段特定模式.
科学领域:
- 行为科学 行为科学
- 公共卫生 公共卫生
- 心理学 心理学 心理学
背景情况:
- 超理论模型 (TTM) 概述了行为变化通过阶段,受感知好处和障碍的影响.
- 虽然已知炼行为抑制剂和促进剂,但它们的特定阶段变异仍然未得到充分探索.
研究的目的:
- 通过使用文本挖掘来识别特定阶段的运动行为变化的抑制剂和促进剂.
- 了解这些因素在TTM阶段如何演变.
主要方法:
- 一项全国性的横截面研究分析了来自互联网问卷的1500个有效答案.
- 文本挖掘技术,包括形态分析和对应分析,用于分析对炼抑制剂和促进剂的开放式反应.
- 热图可视化了特定阶段的抑制剂和促进剂类别.
主要成果:
- 关键的抑制因素包括时间,动机,健康和工作.
- 关键的促进者包括主观性,关系,机会和奖励.
- 抑制剂从预想中的动机/健康转移到后期的家庭/时间/工作.
- 奖励和健康等促进因素在不同阶段逐渐增加.
结论:
- 运动行为变化是动态的,抑制剂和促进剂在TTM阶段有很大差异.
- 干预措施必须根据个体的变化准备量身定制,超越一种适合所有人的方法.
- 将基于阶段的框架集成到健康计划中可以提高体育活动促进的有效性.
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