Developing a Multi-Dimensional Health Index System for a General Occupational Population in the Light of Health Ecology Theory: A Delphi Study.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-06-08 eCollection Date: 2024-01-01 DOI:10.2147/RMHP.S459216
Xiaoling Zhou, Jing Wu, Ying Liu, Yuzhong Yan, Geyao Zhou, Ming Li
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Abstract

Background: The health status of the occupational population is critical to the development of countries and regions as it is the main force of social and economic development. However, there is a dearth of comprehensive and systematic indicators to evaluate the health of occupational groups. This study aimed to construct a multi-dimensional evaluation index system for the general population.

Methods: This study combined a literature review and initially established a multidimensional health system framework for the occupational population based on health ecology theory and then used two rounds of Delphi expert consultation to construct the final multidimensional health index system for the occupational population. Fifteen experts from related fields were selected for two rounds of Delphi expert consultation.

Results: The recovery rates of the two rounds of expert questionnaires were 100.00% and 93.33% respectively, the expert authority coefficient were 0.90, and the Kendall's coordination coefficients of the first and second level indexes were 0.32 and 0.42 (P ≥ 0. 001). The final index system includes four primary indicators (individual characteristics, health knowledge, health behavior, and health skills), 13 second-level indicators, and 41 third-level indicators; the weight coefficients of the four primary health dimensions are relatively close, and the "health knowledge" is slightly higher.

Conclusion: The multi-dimensional health index system of the occupational population established in this study is comprehensive and reasonable from the perspective of health ecology, which can provide a solid foundation for the further development of a comprehensive health status prediction model for the occupational population.

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根据健康生态学理论为普通职业人群开发多维健康指数系统:德尔菲研究。
背景:职业人群的健康状况对国家和地区的发展至关重要,因为它是社会和经济发展的主要力量。然而,目前尚缺乏全面系统的职业人群健康评价指标。本研究旨在构建普通人群的多维评价指标体系:本研究结合文献综述,初步建立了基于健康生态学理论的职业人群多维健康体系框架,并通过两轮德尔菲专家咨询,最终构建了职业人群多维健康指标体系。两轮德尔菲专家咨询共选取了 15 位相关领域的专家:两轮专家问卷回收率分别为 100.00%和 93.33%,专家权威系数为 0.90,一级指标和二级指标的 Kendall 协调系数分别为 0.32 和 0.42(P≥0.001)。最终的指标体系包括 4 个一级指标(个体特征、健康知识、健康行为和健康技能)、13 个二级指标和 41 个三级指标;4 个一级健康维度的权重系数比较接近,"健康知识 "略高:结论:从健康生态学的角度看,本研究建立的职业人群多维健康指标体系全面、合理,可为进一步建立职业人群综合健康状况预测模型提供坚实的基础。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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