使用决策树方法确定与工人的日常体力活动相关的社会人口统计学和工作相关因素
Aviroop Biswas1,2, Cynthia Chen3, Kathleen G Dobson3
1Institute for Work & Health, 400 University Avenue, Suite 1800, Toronto, ON, M5G1S5, Canada. abiswas@iwh.on.ca.
BMC public health
|September 23, 2023
概括
年龄和工作特征是成年人日常体力活动的关键预测因素. 了解这些因素有助于针对性干预,促进工人身体活动.
科学领域:
- 职业健康 职业健康 职业健康
- 公共卫生 公共卫生
- 行为科学 行为科学
背景情况:
- 建立了影响成人身体活动的社会和行为因素.
- 有限的研究探讨了多个身体活动预测因素的相互作用.
- 本研究探讨了社会人口统计学和工作相关因素对工人体育活动模式的相互作用.
研究的目的:
- 确定交互的社会人口统计学和与工作有关的因素的相对重要性.
- 分析基于人口的工人样本中的日常体育活动模式.
- 了解身体活动成就预测因素的等级.
主要方法:
- 利用了五个重复的加拿大工人的横截面队列 (2007-2017年) 的数据.
- 员工分类和回归树 (CART) 建模,以识别体育活动模式的歧视因素.
- 将CART模型的性能与步骤多项逻辑回归进行比较.
主要成果:
- 年龄,职业技能和体力要求是体力活动模式的主要歧视因素.
- 其他重要因素包括性别,教育,饮食,行业,工作时间和收入.
- 卡特模型显示了中度的分类准确性,略高于物流回归.
结论:
- 年龄和与工作相关的因素 (工作技能,体力) 对体力活动至关重要.
- 因素的重要性因性别,工作时间和行业而异.
- 识别预测性层次结构可以增强针对工人的有针对性的身体活动促进策略.
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