Translating Motivation into Action Sample Clauses

Translating Motivation into Action. In the second phase of behaviour change, individuals require guidance to help translate their motivation and intentions into action. From a number of systematic reviews examining the effectiveness of interventions to change diet and physical activity behaviours, it is known that BCTs derived from self-regulation theory (control theory) seem central to creating change [53]. BCTs derived from the self-regulation theory include self-monitoring of behaviour, behavioural goal setting, action planning, feedback on behaviour/goal progress and problem solving (coping planning). In addition to BCTs from self-regulation theory, a recent review has identified techniques used in mHealth self-management solutions for T2D [54]. This review examined 13 computer assisted diabetes self-management interventions and found several techniques associated with improved behavioural outcomes, including prompting social support, facilitating social comparison, and prompting review of behavioural goals. The table below outlines how PRECIOUS will make use of these BCTs to improve diet and physical activity from literature on control theory, from this review of Xxx Xxxx et al [54] and from earlier PRECIOUS research. Table 7 How PRECIOUS utilises BCTs Behaviour Change Technique Description Self-monitoring of behaviour and behavioural outcomes (physical activity) Data on physical activity will be collected via the smartphone’s on-board accelerometer, and translated to user-relevant metrics using existing algorithms (e.g. steps taken, minutes active/sedentary, calories burned). Self-monitoring of Data on dietary intake will be collected via (photo-based) food behaviour and behavioural outcomes (diet) diaries completed by users, including relevant nutritional intake information (e.g. calories, fat, sugar, sodium). Behavioural goal setting (physical activity) Users will have the capability to set physical activity goals in their own chosen metric(s) (e.g. steps, active minutes, limiting sedentary time, burned calories), which are to be presented in a gamified way. Data-driven algorithms will prompt users to set goals that are challenging, yet realistic improvements, in comparison to past behaviour. Behavioural goal setting (diet) Users will have the capability to set dietary intake goals in their own chosen metric(s), which are to be presented in a gamified way. Data-driven algorithms will prompt users to set goals that are challenging, yet realistic improvements, in comparison to past beh...
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