Abstract：
As a major energy source in China, the occupational health and well-being (OHW) of miners is a priority. Various statistical techniques have been used to identify factors or assess OHW to provide valuable information for the implementation of health promotion activities. The main bottleneck is the limited focus on solutions that address the demands of both organizations and individuals, and scientific and effective decision-making is pending. Therefore, this study describes the OHW mechanism covering both antecedents and consequences through the driving force-pressure-state-impact-response model. A probabilistic model of management tradeoff analysis was established by using a Bayesian decision network. Causal relationships and dependencies between multiple factors are captured visually. The model was verified and applied with samples of miners (N = 816). The results showed that the comprehensive strategy (R5) was the best tactic, and the management effect of stress (R2) and vulnerability (R3) was prominent. This study provides a valuable tool for managers to identify priority management factors. Prioritizing tactics formulated from dual demands of organizational and individual can ensure project feasibility, operability, and effectiveness. This study is a novel attempt to combine theory with practice, which is timely and necessary for management.
摘要：
作为中国的主要能源，矿工的职业健康和福祉（OHW）是当务之急。已使用各种统计技术来确定因素或评估OHW，为实施健康促进活动提供有价值的信息。主要瓶颈是对满足组织和个人需求的解决方案的关注有限，科学有效的决策有待解决。因此,这项研究通过驱动力-压力-状态-影响-响应模型描述了涵盖前因后果的OHW机制。利用贝叶斯决策网络建立了管理权衡分析的概率模型。直观地捕获多个因素之间的因果关系和依赖性。该模型在矿工样本(N=816)中进行了验证和应用。结果表明，综合策略(R5)是最佳策略，应激(R2)和脆弱性(R3)的管理效果突出。本研究为管理者识别优先管理因素提供了有价值的工具。根据组织和个人的双重需求制定的优先策略可以确保项目的可行性，可操作性，和有效性。本研究是理论与实践相结合的新尝试,这是及时和必要的管理。
