scholarly journals Active Living Becomes Achievable (ALBA): An Evaluation of the Effectiveness of a Behaviour Change Intervention at Promoting Physical Activity for Improved Mental Wellbeing

Author(s):  
Nicola Peddie ◽  
Austyn Snowden ◽  
Tony Westbury

AbstractPhysical activity (PA) has been shown to be beneficial for physical and mental wellbeing. However, there is evidence to indicate people with mental health conditions are significantly less active than the general population. The aim of the research is to evaluate the effectiveness of Active Living Becomes Achievable (ALBA), a behaviour change intervention designed to specifically target individuals with mental and physical health conditions to increase motivation and adherence to physical activity to improve physical and mental wellbeing. 318 participants were recruited through existing exercise referral schemes in three areas of Scotland. A quantitative outcome evaluation, with a before and after design was carried out to assess the effectiveness of the intervention. Participants completed 5 outcome measures—the Scottish Physical Activity Questionnaire (SPAQ), the Self-Efficacy for Exercise Scale (SEE), the Warwick Edinburgh Mental Wellbeing Scale (WEMWBS), the Patient Activation Measure (PAM) and the Rosenberg Self Esteem Scale—and wore an activity tracker for 16 weeks. Participants who opted into the long-term study were monitored for up to 12-months. ALBA significantly improved mental wellbeing, patient activation and self-efficacy. Although the intervention did not appear to increase adherence to PA. The ALBA intervention was effective at improving mental wellbeing but did not have a significant effect on PA levels. This suggests that the additional support offered through the ALBA intervention was key to improving wellbeing.

2021 ◽  
Author(s):  
Charlotte Summers ◽  
Philip Wu

BACKGROUND COVID-19 is taking its toll on people's mental health, particularly as people are advised to adhere to social distancing, self-isolation measures and government imposed national lockdowns. Digital health technologies have an important role to play in keeping people connected and supporting mental health and wellbeing. Particularly in the wake of the COVID-19 pandemic as even before this unprecedented time, mental health and social services were already stretched. OBJECTIVE Our objective was to evaluate the 12-week outcomes of the digitally delivered Gro Health platform, a digital behaviour change intervention for self-management of mental wellbeing, sleep, activity, and nutrition. METHODS The study used a quasi-experimental research design consisting of an open-label, single-arm, pre-post intervention engagement using a convenience sample. From adults who had joined the intervention and had a complete baseline dataset (GAD-7 Anxiety Test Questionnaire, Perceived Stress Scale, PHQ-9 Patient Health Questionnaire), we followed all users for 12 weeks (N=273), including 33 (12.1%) who reported a positive COVID-19 diagnosis during the study period. Users engagement with the Gro Health platform was tracked by active minutes. RESULTS Of the 347 study participants, 273 (78.67%) completed both baseline and follow up surveys. Change in scores for anxiety, perceived stress and depression was predicted by app engagement with the strongest effect being seen in change perceived stress scores F(1,271)=251.397, p<0.001, with an R2 of .479. CONCLUSIONS A digital behaviour change platform that provides remote mental wellbeing support can be effective in managing depression, anxiety, and perceived stress during times of crisis such as the current COVID-19 pandemic. CLINICALTRIAL Approved by Royal Holloway, University of London Ethics Board.


2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Dario Baretta ◽  
Fabio Sartori ◽  
Andrea Greco ◽  
Marco D’Addario ◽  
Riccardo Melen ◽  
...  

The practice of regular physical exercise is a protective factor against noncommunicable diseases and premature mortality. In spite of that, large part of the population does not meet physical activity guidelines and many individuals live a sedentary life. Recent technological progresses and the widespread adoption of mobile technology, such as smartphone and wearables, have opened the way to the development of digital behaviour change interventions targeting physical activity promotion. Such interventions would greatly benefit from the inclusion of computational models framed on behaviour change theories and model-based reasoning. However, research on these topics is still at its infancy. The current paper presents a smartphone application and wearable device system called Muoviti! that targets physical activity promotion among adults not meeting the recommended physical activity guidelines. Specifically, we propose a computational model of behaviour change, grounded on the social cognitive theory of self-efficacy. The purpose of the computational model is to dynamically integrate information referring to individuals’ self-efficacy beliefs and physical activity behaviour in order to define exercising goals that adapt to individuals’ changes over time. The paper presents (i) the theoretical constructs that informed the development of the computational model, (ii) an overview of Muoviti! describing the system dynamics, the graphical user interface, the adopted measures and the intervention design, and (iii) the computational model based on Dynamic Decision Network. We conclude by presenting early results from an experimental study.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
F. J. Kinnear ◽  
E. Wainwright ◽  
J. E. Bourne ◽  
F. E. Lithander ◽  
J. Hamilton-Shield ◽  
...  

Abstract Background Familial hypercholesterolaemia (FH) is a genetic condition characterised by elevated levels of low-density lipoprotein cholesterol (LDL-C) and an increased risk of cardiovascular disease (CVD). Following dietary and physical activity guidelines could help minimise this risk but adherence is low. Interventions to target these behaviours are therefore required. A comprehensive understanding of the target behaviours and behaviour change theory should drive the process of intervention development to increase intervention effectiveness and scalability. This paper describes the application of a theoretical framework to the findings of a qualitative evidence synthesis (QES) to inform the content and delivery of an intervention to improve adherence to dietary and physical activity guidelines in individuals with FH. Methods The Behaviour Change Wheel (BCW) was used to guide intervention development. Factors influencing dietary and physical activity behaviours were identified from an earlier QES and mapped onto factors within the BCW. A comprehensive behavioural diagnosis of these factors was conducted through application of the theoretical domains framework (TDF). Using these data, the most appropriate intervention functions and behaviour change techniques (BCTs) for inclusion in the intervention were identified. Decision making was guided by evaluation criteria recommended by BCW guidance and feedback from individuals with FH. Results Factors influencing dietary and physical activity behaviours mapped onto twelve of the fourteen TDF domains, with seven intervention functions deemed suitable to target the domains’ theoretical constructs. Twenty-six BCTs were identified as being appropriate for delivery within these functions and were included in the intervention. For instance, within the enablement intervention function, the BCT problem solving was incorporated by inclusion of a ‘barriers and solutions’ section. Guided by evaluation criteria and feedback from individuals with FH, the intervention will be delivered as an hour-long family-based appointment, followed up with four telephone calls. Conclusions The novel application of the BCW and TDF to the results of a QES has enabled the development of a theory and evidence informed behaviour change intervention. This systematic approach facilitates evaluation of the intervention as part of an ongoing feasibility trial. The transparent approach taken can be used to guide intervention development by researchers in other fields.


Nutrients ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 311 ◽  
Author(s):  
Mireille NM van Poppel ◽  
Judith G.M. Jelsma ◽  
David Simmons

A better understanding of what drives behaviour change in obese pregnant overweight women is needed to improve the effectiveness of lifestyle interventions in this group at risk for gestational diabetes (GDM). Therefore, we assessed which factors mediated behaviour change in the Vitamin D and Lifestyle Intervention for GDM Prevention (DALI) Lifestyle Study. A total of 436 women, with pre-pregnancy body mass index ≥29 kg/m2, ≤19 + 6 weeks of gestation and without GDM, were randomised for counselling based on motivational interviewing (MI) on healthy eating and physical activity, healthy eating alone, physical activity alone, or to a usual care group. Lifestyle was measured at baseline, and at 24–28 and 35–37 weeks of gestation. Outcome expectancy, risk perception, task self-efficacy and social support were measured at those same time points and considered as possible mediators of intervention effects on lifestyle. All three interventions resulted in increased positive outcome expectancy for GDM reduction, perceived risk to the baby and increased task self-efficacy. The latter mediated intervention effects on physical activity and reduced sugared drink consumption. In conclusion, our MI intervention was successful in increasing task self-efficacy, which was related to improved health behaviours.


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