Freie Universität Berlin, Germany.
SWPS University of Social Sciences and Humanities, Wroclaw, Poland.
Br J Health Psychol. 2018 May;23(2):296-310. doi: 10.1111/bjhp.12288. Epub 2017 Dec 19.
The randomized controlled trial examined factors that might be responsible for individual differences in physical activity change among men and women who participated in a lifestyle intervention. The main purpose of the analyses regarded the role of psychological mechanisms involving motivation, planning, self-monitoring, and habit strength.
A two-arm digital intervention was conducted in Italy, Spain, and Greece to improve physical activity levels, with follow-ups at 3 and 6 months after baseline assessment.
Participants were 1,564 adults at baseline, n = 638 at 6-month follow-up. Linear mixed models examined the intervention effects, and a two-group longitudinal structural equation model explored which psychological constructs (motivation, planning, self-monitoring, habit strength) were associated with changes in physical activity.
In addition to an overall increase in self-reported activity, there were interactions between time and sex and between time and experimental groups, and a triple interaction between time, sex, and experimental groups, indicating that men reported an increase in activity independent of groups, whereas women in the active control group did not benefit from the intervention. Planning, self-monitoring, and habit strength mediated sequentially between initial motivation and follow-up physical activity.
Although the intervention produced overall improvements in physical activity, the time-by-treatment interaction emerged only for women. The mechanism included a sequence leading from motivation via planning, self-monitoring, and habit strength towards physical activity. Statement of contribution What is already known on this subject? Digital lifestyle interventions can be effective in terms of physical activity performance gains. Men are on average more physically active than women. Long-term adherence rates to digital interventions are usually low. What does this study add? Giving users of an online platform more interactive options did not make a difference. Women gained more than men from adaptive, dynamic online platform content. Individual characteristics (motivation, planning, self-monitoring, habit) were more important than online treatment features.
本随机对照试验研究了生活方式干预中男性和女性参与者的身体活动变化存在个体差异的原因。分析的主要目的是研究涉及动机、计划、自我监测和习惯强度等心理机制的作用。
在意大利、西班牙和希腊进行了一项双臂数字干预,以提高身体活动水平,并在基线评估后 3 个月和 6 个月进行随访。
共有 1564 名成年人参与了基线研究,其中 638 名在 6 个月随访时参与了研究。线性混合模型检验了干预效果,两群组纵向结构方程模型则探讨了哪些心理构念(动机、计划、自我监测、习惯强度)与身体活动的变化有关。
除了自我报告的活动量总体增加外,时间和性别之间以及时间和实验组之间存在交互作用,时间、性别和实验组之间存在三重交互作用,表明男性的活动量增加与实验组无关,而活跃对照组的女性则未从干预中受益。计划、自我监测和习惯强度在初始动机和随访身体活动之间依次进行中介。
尽管干预措施总体上提高了身体活动水平,但仅在女性中出现了时间与治疗的交互作用。该机制包括从动机通过计划、自我监测和习惯强度到身体活动的顺序。
关于这一主题,目前已知的内容是什么?数字生活方式干预可以在身体活动表现方面取得成效。男性的平均身体活动量高于女性。数字干预的长期坚持率通常较低。本研究有何新发现?为在线平台的用户提供更多互动选项没有产生任何影响。女性从自适应、动态的在线平台内容中获益多于男性。个体特征(动机、计划、自我监测、习惯)比在线治疗特征更为重要。