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Do automated digital health behaviour change interventions have a positive effect on self-efficacy? A systematic review and meta-analysis.
Health Psychology Review ( IF 9.638 ) Pub Date : 2020-01-20 , DOI: 10.1080/17437199.2019.1705873
Katie Newby 1 , Grace Teah 1 , Richard Cooke 2 , Xinru Li 3 , Katherine Brown 1 , Bradley Salisbury-Finch 1 , Kayleigh Kwah 1 , Naomi Bartle 1 , Kristina Curtis 1 , Emmie Fulton 1 , Joanne Parsons 1 , Elise Dusseldorp 3 , Stefanie L Williams 1
Affiliation  

Self-efficacy is an important determinant of health behaviour. Digital interventions are a potentially acceptable and cost-effective way of delivering programmes of health behaviour change at scale. Whether behaviour change interventions work to increase self-efficacy in this context is unknown. This systematic review and meta-analysis sought to identify whether automated digital interventions are associated with positive changes in self-efficacy amongst non-clinical populations for five major health behaviours, and which BCTs are associated with that change. A systematic literature search identified 20 studies (n = 5624) that assessed changes in self-efficacy and were included in a random-effects meta-analysis. Interventions targeted: healthy eating (k = 4), physical activity (k = 9), sexual behaviour (k = 3) and smoking (k = 4). No interventions targeting alcohol use were identified. Overall, interventions had a small, positive effect on self-efficacy [Formula: see text]. The effect of interventions on self-efficacy did not differ as a function of health behaviour type (Q-between = 7.3704, p = .061, df = 3). Inclusion of the BCT 'information about social and environmental consequences' had a small, negative effect on self-efficacy [Formula: see text]. Whilst this review indicates that digital interventions can be used to change self-efficacy, which techniques work best in this context is not clear.

中文翻译:

自动化数字健康行为改变干预对自我效能有积极影响吗?系统评价和荟萃分析。

自我效能是健康行为的重要决定因素。数字干预是一种潜在可接受且具有成本效益的大规模实施健康行为改变计划的方式。在这种情况下,行为改变干预是否有助于提高自我效能尚不清楚。这项系统评价和荟萃分析旨在确定自动化数字干预是否与非临床人群的五种主要健康行为的自我效能的积极变化有关,以及哪些 BCT 与这种变化有关。一项系统的文献检索确定了 20 项研究 (n = 5624),这些研究评估了自我效能的变化,并被纳入了一项随机效应荟萃分析。干预目标:健康饮食 (k = 4)、身体活动 (k = 9)、性行为 (k = 3) 和吸烟 (k = 4)。没有发现针对酒精使用的干预措施。总体而言,干预对自我效能有很小的积极影响[公式:见正文]。干预对自我效能的影响与健康行为类型的函数无关(Q-between = 7.3704, p = .061, df = 3)。包含 BCT 的“关于社会和环境后果的信息”对自我效能有很小的负面影响 [公式:见正文]。虽然本综述表明数字干预可用于改变自我效能,但在这种情况下哪种技术最有效尚不清楚。包含 BCT 的“关于社会和环境后果的信息”对自我效能有很小的负面影响 [公式:见正文]。虽然本综述表明数字干预可用于改变自我效能,但在这种情况下哪种技术最有效尚不清楚。包含 BCT 的“关于社会和环境后果的信息”对自我效能有很小的负面影响 [公式:见正文]。虽然本综述表明数字干预可用于改变自我效能,但在这种情况下哪种技术最有效尚不清楚。
更新日期:2020-01-20
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