Marchant Gonzalo, Servajean Philippe, Nicaise Virginie, Boiché Julie
Univ Paul Valéry Montpellier 3, Univ. Montpellier, Montpellier, France.
Univ Lyon, Université Claude Bernard Lyon 1, L-ViS, Lyon, France.
Health Psychol Behav Med. 2020 Sep 18;8(1):423-439. doi: 10.1080/21642850.2020.1820342.
: The time adults spend sitting in front of screens is a health risk factor. In contrast, walking and cycling to and from work, also known as active commuting, could promote physical activity and improve population health. : This study investigated automatic properties role in explaining active commuting and screen-based sedentary behaviours. The stable, daily conditions for carrying out active commuting and screen-based sedentary behaviour are most likely to develop automatic properties. These characteristics mean performing behaviours via external cues (i.e. lack of intentionality), with an unpleasant emotional experience of not carrying out a set routine (i.e. lack of controllability), and without paying much attention (i.e. efficiency). : This article describes findings of a prospective and correlational study in which 128 people participated. First, participants responded to questions assessed using the Generic Multifaceted Automaticity Scale (GMAS), which measured the automatic properties of screen-based sedentary behaviour and active commuting. The following week, both behaviours were assessed by daily logs to document active commuting and screen-based sedentary behaviour events, and by an accelerometer, worn for seven days, as an objective criterion. Confirmatory factor analyses, bivariate correlations, and multiple linear regressions were computed for the associations between the GMAS scores and objective criterion measures of screen-based sedentary behaviours and active commuting. : Automaticity facets displayed different relationships with screen-based sedentary behaviours and active commuting - people with higher lack of intentionality and lack of controllability for active commuting present higher levels of moderate physical activity. In contrast, the lack of controllability of screen-based sedentary behaviours was a significant predictor of sedentary screen time. : The multidimensional approach to automaticity could be useful in determining more precisely the features that need to be addressed to promote the adoption of active commuting and limit the time spent sitting in front of screens.
成年人坐在屏幕前的时间是一个健康风险因素。相比之下，步行或骑自行车上下班，即所谓的主动通勤，有助于促进身体活动并改善公众健康。
本研究调查了自动性在解释主动通勤和基于屏幕的久坐行为方面所起的作用。开展主动通勤和基于屏幕的久坐行为的稳定日常条件最有可能形成自动性。这些特征意味着通过外部线索来执行行为（即缺乏意图性），不执行既定日常活动会带来不愉快的情绪体验（即缺乏可控性），并且无需太多注意力（即高效性）。
本文描述了一项有128人参与的前瞻性相关性研究的结果。首先，参与者回答了使用通用多维度自动性量表（GMAS）评估的问题，该量表测量了基于屏幕的久坐行为和主动通勤的自动性。接下来的一周，通过每日日志记录主动通勤和基于屏幕的久坐行为事件，并使用佩戴七天的加速度计作为客观标准来评估这两种行为。对GMAS得分与基于屏幕的久坐行为和主动通勤的客观标准测量之间的关联进行了验证性因素分析、双变量相关性分析和多元线性回归分析。
自动性的各个方面与基于屏幕的久坐行为和主动通勤呈现出不同的关系——主动通勤时缺乏意图性和缺乏可控性程度较高的人，其适度身体活动水平也较高。相比之下，基于屏幕的久坐行为缺乏可控性是久坐屏幕时间的一个重要预测因素。
自动性的多维度方法可能有助于更精确地确定为促进主动通勤的采用和限制坐在屏幕前的时间而需要解决的特征。
