School of Life Sciences, Faculty of Health and Life Sciences, Coventry University, 20 Whitefrairs Street, Coventry, CV1 2DS, UK.
Human Sciences Research Centre, University of Derby, Kedleston Road, Derby, Derbyshire, DE22 1GB, UK.
BMC Public Health. 2023 Jan 9;23(1):59. doi: 10.1186/s12889-022-14953-5.
Changes in lifestyle patterns and the dependence on technology have contributed to an increase in prevalence of inactivity. To address this there is a need to identify the predictors of physical inactivity using the Theoretical Domains Framework (TDF).
One hundred and twenty-one university administrative staff and 114 PhD students completed a survey. Physical activity (PA) levels were assessed using the Global Physical Activity Questionnaire (GPAQ), with participants scoring below 600 MET-minutes/week of total PA regarded as inactive. The predictors of physical inactivity were assessed using the Determinants of Physical Activity Questionnaire (DPAQ). Multiple regression analyses were used to identify which domains of the TDF predicted physical inactivity in the study samples.
The results indicated that 64% of administrative staff (Mean = 411.3 ± 118.3 MET-minutes/week of total PA) and 62% of PhD students (Mean = 405.8 ± 111.0 MET-minutes/week of total PA) did not achieve the recommended PA levels. The physical skills domain (t = 2.198, p = 0.030) was the significant predictor of physical inactivity amongst the administrative staff. Knowledge (t = 2.018, p = .046) and intentions (t = 4.240), p = 0.001) domains were the significant predictors of physical inactivity amongst PhD students.
The results of this study should be used as a theoretical starting point in carrying out behavioural diagnosis, which could inform the design of effective interventions to increase PA levels in universities and other settings.
生活方式的改变和对技术的依赖导致了缺乏运动的情况增加。为了解决这个问题，需要使用理论框架（TDF）来确定身体不活动的预测因素。
121 名大学行政人员和 114 名博士生完成了一项调查。使用全球体力活动问卷（GPAQ）评估体力活动（PA）水平，得分低于 600 个代谢当量-分钟/周总 PA 的参与者被视为不活跃。使用体力活动决定因素问卷（DPAQ）评估身体不活动的预测因素。多元回归分析用于确定 TDF 的哪些领域预测了研究样本中的身体不活动。
结果表明，64%的行政人员（平均=411.3±118.3 个代谢当量-分钟/周的总 PA）和 62%的博士生（平均=405.8±111.0 个代谢当量-分钟/周的总 PA）没有达到推荐的 PA 水平。身体技能领域（t=2.198，p=0.030）是行政人员身体不活动的显著预测因素。知识（t=2.018，p=0.046）和意图（t=4.240，p=0.001）领域是博士生身体不活动的显著预测因素。
本研究的结果应作为开展行为诊断的理论起点，为在大学和其他环境中提高 PA 水平的干预措施的设计提供信息。
