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Physical inactivity levels are rising globally. In response, public health investigators have sought to design and implement effective interventions to raise levels of physical activity in populations, communities and individuals. Usually, such interventions are built around theories of behaviour change in which notions of motivation and incentivisation loom large. Drawing on focus group evidence derived in the context of a cluster RCT aimed at increasing levels of physical activity in the workplace, this paper offers a critical look at the factors that seemingly stimulate and sustain that activity. In particular, using novel methods of data analysis we illustrate how motives and motivation – often interpreted as a driving force 'in' individuals – can be more usefully seen as distributed; as a property of systems (incorporating technologies, organisational structures, and social interaction) rather than of persons. In our discussion, we outline various theoretical as well as empirical grounds for making such claims and conclude by drawing out the implications of our work for public health policy and research. [ABSTRACT FROM AUTHOR]

Brief planning interventions, usually delivered within paper and pencil questionnaires, have been found to be effective in changing health behaviours. Using a double-blind randomised controlled trial, this study examined the efficacy of two types of planning interventions (action plans and coping plans) in increasing physical activity levels when they are delivered via the internet. Following the completion of self-reported physical activity (primary outcome) and theory of planned behaviour (TPB) measures at baseline, students (N = 1273) were randomised into one of four conditions on the basis of a 2 (received instructions to form action plans or not) × 2 (received instructions to form coping plans or not) factorial design. Physical activity (primary outcome) and TPB measures were completed again at two-month follow-up. An objective measure (attendance at the university's sports facilities) was employed 6 weeks after a follow-up for a duration of 13 weeks (secondary outcome). The interventions did not change self-reported physical activity, attendance at campus sports facilities or TPB measures. This might be due to low adherence to the intervention protocol (ranging from 58.8 to 76.7%). The results of this study suggest that the planning interventions under investigation are ineffective in changing behaviour when delivered online to a sample of participants unaware of the allocation to different conditions. Possible moderators of the effectiveness of planning interventions in changing health behaviours are discussed. [ABSTRACT FROM AUTHOR]

This paper elicited context specific underlying beliefs for physical activity, fruit and vegetable consumption and smoke-free behaviour from the Theory of Planned Behaviour (TPB), and then determined whether the TPB explained significant variation in intentions and behaviour over a 1 month period in a sample of grade 7-9 (age 12-16 years) adolescents. Eighteen individual interviews and one focus group were used to elicit student beliefs. Analyses of this data produced behavioural, normative and control beliefs which were put into a TPB questionnaire completed by 183 students at time 1 and time 2. The Path analyses from the main study showed that the attitude/intention relationship was moderately large for fruit and vegetable consumption and small to moderate for being smoke free. Perceived behavioural control had a large effect on being smoke free and a moderately large effect for fruit and vegetable consumption and physical activity. Intention had a large direct effect on all three behaviours. Common (e.g. feel better, more energy) and behaviour-specific (e.g., prevent yellow fingers, control my weight) beliefs emerged across the three health behaviours. These novel findings, to the adolescent population, support the importance of specific attention being given to each of the behaviours in future multi-behavioural interventions. [ABSTRACT FROM AUTHOR]