Georgiev Dejan, Christie Rosie, Torkamani Mariam, Song Ruifeng, Limousin Patricia, Jahanshahi Marjan
Department Clinical and Motor Neurosciences, Institute of Neurology, University College London, London, United Kingdom.
Department of Neurology, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Front Neurosci. 2022 Jul 6;16:880023. doi: 10.3389/fnins.2022.880023. eCollection 2022.
Habits are defined as automatic behaviours triggered by cues and performed without awareness. They are difficult to control and mentally efficient, which contrasts with goal-directed behaviour, which is characterised by active thought, high computational effort, and the ability to modify this behaviour in response to a changing environment and contextual demands. Habits are not only defined by the frequency with which a behaviour is performed but represent a complex construct that also includes the strength and automaticity of the habitual behaviour. We report here the development and validation of a Daily Habit Scale (DHS) to assess the frequency, automaticity, and strength of daily habits in healthy individuals. Item reduction based on factor analysis resulted in a scale with 38 items grouped into eight factors explaining 52.91% of the variance. The DHS showed very good internal consistency ( = 0.738) and test-retest reliability ( = 0.892, <0.001) as well as convergent and divergent reliability compared to other scales measuring habits. We found a significant effect of age, gender, anxiety, and depression on the DHS. Considering certain limitations of the DHS, such as not considering the context of performance of habits, and the absence of certain items, such as transportation use, the results of this study suggest that DHS is a reliable and valid measure of daily habits that can be used by both clinicians and researchers as a measure of daily habits.
习惯被定义为由线索触发且在无意识状态下执行的自动行为。它们难以控制且在思维上高效,这与目标导向行为形成对比,目标导向行为的特点是积极思考、高计算量以及根据不断变化的环境和情境需求修改这种行为的能力。习惯不仅由行为执行的频率定义,还代表一种复杂的结构,其中还包括习惯行为的强度和自动性。我们在此报告日常习惯量表(DHS)的开发与验证,以评估健康个体日常习惯的频率、自动性和强度。基于因子分析的项目缩减产生了一个包含38个项目的量表,这些项目分为八个因子,解释了52.91%的方差。与其他测量习惯的量表相比,DHS显示出非常好的内部一致性(= 0.738)、重测信度(= 0.892,<0.001)以及收敛效度和区分效度。我们发现年龄、性别、焦虑和抑郁对DHS有显著影响。考虑到DHS的某些局限性,例如未考虑习惯执行的背景,以及缺少某些项目,如交通使用情况,本研究结果表明DHS是一种可靠且有效的日常习惯测量工具,临床医生和研究人员均可将其用作日常习惯的测量方法。