Exploring the predictors of physical inactivity in a university setting

The aim of this study was to gain knowledge about the predictors of physical inactivity amongst inactive university administrative staff and PhD students, using the Theoretical Domains Framework (TDF) to guide the exploration. It was hypothesised that the predictors of physical inactivity will differ between administrative staff and PhD students. The Global Physical Activity Questionnaire (GPAQ) was used to assess the physical activity levels of the university administrative staff and students, with those scoring below 600 MET/minutes of total moderate physical activity regarded as physically inactive and were thus included in this study. The findings of this study indicated that 64% of university administrative staff and 62% of PhD students who responded to the survey were physically inactive (i.e., scored below 600 MET/minutes of total moderate physical activity). Furthermore, the 14 domains of the Theoretical Domains Framework (TDF) were measured using the Determinants of Physical Activity Questionnaire (DPAQ) and multiple regression analyses were used to identify the domains of the TDF that predict physical inactivity among university administrative staff and PhD students. The findings suggested that the physical skills domain of the TDF was the main predictor of physical inactivity among university administrative staff, while the knowledge and intentions domains were the main predictors of physical inactivity among university PhD students.本研究旨在以理论框架域（Theoretical Domains Framework, TDF）为指导开展探索性研究，以明确久坐高校行政人员与博士生身体活动不足的预测因素。本研究提出假设：高校行政人员与博士生的身体活动不足预测因素存在差异。研究采用全球身体活动问卷（Global Physical Activity Questionnaire, GPAQ）评估高校行政人员与学生的身体活动水平，将总中等强度身体活动得分低于600 MET·分钟的人群界定为身体活动不足者，并纳入本研究范畴。本次调查的有效受访者中，64%的高校行政人员与62%的博士生被归类为身体活动不足者（即总中等强度身体活动得分低于600 MET·分钟）。 此外，本研究通过身体活动决定因素问卷（Determinants of Physical Activity Questionnaire, DPAQ）对理论框架域（TDF）的14个维度进行测量，并采用多元回归分析识别出可预测高校行政人员与博士生身体活动不足的TDF维度。研究结果显示，TDF的身体技能维度是高校行政人员身体活动不足的主要预测因素，而知识维度与意向维度则是高校博士生身体活动不足的主要预测因素。