School of Gerontology Health Management, College of Nursing, Taipei Medical University, Taipei, Taiwan.
Graduate Institute of Sport, Leisure, and Hospitality Management, National Taiwan Normal University, Taipei, Taiwan.
PLoS One. 2019 Jul 26;14(7):e0220314. doi: 10.1371/journal.pone.0220314. eCollection 2019.
Maintaining physical activity is necessary to promote health in our daily lives. The Ecological Model of Active Living was proposed to examine whether individuals participate in active living. The purpose of this study was to understand the determinants of physical activity and create a predictive path model of the intrapersonal, perceived environment, behavior settings, and policy environment domains. Data were obtained from open government data and questionnaires, including the International Physical Activity Questionnaire, Health Belief Model Inventory, Physical Activity Neighborhood Environment Survey, and Accessibility of Open Spaces. Participants comprised 1085 healthy adults who completed a self-reported internet survey. An analysis of the intrapersonal domain revealed that the variables of female, an older age, and a low educational level, and individuals with obesity or cardiometabolic diseases presented lower odds ratios for active living. We found significant statistical support for our path model (The Ecological Model of Active Living), with a predictive power of 23.1%. The predictive path model is a good approach to quantitatively measure the impacts of various determinants on active living that suggests further lines of research in approaches for modeling relationships.
在日常生活中，保持身体活动对于促进健康是必要的。积极生活的生态模式被提出，以检验个体是否参与积极生活。本研究旨在了解身体活动的决定因素，并创建一个关于个体、感知环境、行为环境和政策环境领域的预测路径模型。数据来自开放政府数据和问卷调查，包括国际身体活动问卷、健康信念模型清单、身体活动邻里环境调查和开放空间可达性。参与者包括完成在线自我报告调查的 1085 名健康成年人。对个体领域的分析表明，女性、年龄较大、教育程度较低，以及肥胖或心血管代谢疾病的个体，其积极生活的比值比较低。我们对路径模型（积极生活的生态模式）进行了显著的统计支持，其预测能力为 23.1%。预测路径模型是一种定量测量各种决定因素对积极生活影响的良好方法，为关系建模方法的进一步研究提供了思路。
