在社区居民中探索体育活动:结合综合行为模型和社交网络分析
Megan S Patterson1, Tyler Prochnow, Allison N Francis
1Department of Health Behavior, Texas A&M University School of Public Health, College Station, Texas.
Family & community health
|July 25, 2025
概括
认为对体力活动 (PA) 有更强的控制和有更活跃的朋友的成年人更有可能满足PA的建议. 社交网络密度与满足PA指南的可能性较低有关.
科学领域:
- 行为科学 行为科学
- 公共卫生 公共卫生
- 社交网络分析 社交网络分析
背景情况:
- 了解影响身体活动 (PA) 的因素对于公共健康至关重要.
- 综合行为模型 (IBM) 为检查行为决定因素提供了一个框架.
- 社交网络分析 (SNA) 提供了对人际关系对行为影响的见解.
研究的目的:
- 探索与满足成人体育活动 (PA) 建议相关的个人和人际因素.
- 将综合行为模型 (IBM) 与社交网络分析 (SNA) 整合起来,以了解PA行为.
- 在个人和社交网络层面确定满足PA指南的关键决定因素.
主要方法:
- 250名成年人完成了在线调查,评估了人口特征,PA障碍,规范,感知行为控制和意图.
- 社交网络分析 (SNA) 用于测量参与者的社交网络中的描述性规范.
- 使用后勤回归分析来确定与满足最低PA建议相关的因素.
主要成果:
- 40.6%的参与者满足了最低的PA建议.
- 更高的感知行为控制 (OR=1.47) 和意图 (OR=1.16) 与满足PA建议有显著的关联.
- 拥有更多女性网络成员 (OR=1.02) 和更多积极的共同参与者 (OR=1.03) 增加了满足PA建议的几率,而更高的网络密度 (OR=0.04) 降低了它们.
结论:
- 直接的社会背景,特别是网络中的直接社会影响,对PA行为的影响比全球社会规范更大.
- 干预措施应增强个人感知到的行为控制和意图,并利用社交网络直接影响行为.
- 社交网络分析 (SNA) 是在综合行为模型 (IBM) 的框架内评估描述性规范的宝贵工具.
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