Engagement in e-cycling and the self-management of type 2 diabetes: a qualitative study in primary care

''I felt marvellous e-cycling. If I had long hair I would have flicked it": a qualitative investigation of the factors associated with e-cycling engagement among adults with type 2 diabetes

Background

Physical activity (PA) is a key component in the management of type 2 diabetes. However, this population have low rates of PA engagement. Electrically assisted cycling has been identified as a means through which to increase PA by incorporating activity into daily life, while overcoming some of the barriers to conventional cycling. The determinants of e-cycling among people living with chronic disease are largely unknown. The aim of this research was to explore the determinants of e-cycling among individuals with type 2 diabetes using the Theoretical Domains Framework (TDF) and the Capability, Opportunity and Motivation for Behaviour change model (COM-B). This information is important for determining the suitability of future e-cycling initiatives and, if appropriate, inform future e-cycling interventions.

Method

One-to-one semi structured interviews were conducted with 16 participants from the e-cycling arm of a pilot randomised controlled trial between September 2019 and April 2020. The TDF was used to develop the interview guide. The framework method of analysis was used, incorporating both deductive and inductive reasoning. A conceptual model of the factors that influence e-cycling in this population was created.

Results

The most commonly reported TDF domains were skills, knowledge, belief about capabilities, belief about consequences and environmental context and resources. Specifically, e-bike training facilitated e-cycling engagement by providing participants with the skills, knowledge, and confidence needed to ride the e-bike and ride on the road. In addition, the enjoyment of e-cycling was a key facilitator to engagement. Participants engaged in e-cycling to improve their health rather than for environmental reasons. Most barriers to e-cycling related to the natural or physical environment.

Conclusion

This study provides insight into the personal, social, and environmental factors associated with e-cycling in this population. The findings of this study can be used to develop a more refined e-cycling intervention targeting the factors identified as influencing e-cycling engagement. In addition, this information will help in the selection of mechanistic outcome measures for evaluation.

Study protocol for two pilot randomised controlled trials aimed at increasing physical activity using electrically assisted bicycles to enhance prostate or breast cancer survival

BACKGROUND

In 2020, 1.4 and 2.3 million new cases of prostate cancer and breast cancer respectively were diagnosed globally. In the UK, prostate cancer is the most common male cancer, while breast cancer is the most common female cancer. Engaging in physical activity (PA) is a key component of treatment. However, rates of PA are low in these clinical populations. This paper describes the protocol of CRANK-P and CRANK-B, two pilot randomised controlled trials, involving an e-cycling intervention aimed at increasing PA in individuals with prostate cancer or breast cancer respectively.

METHODS

These two trials are single-centre, stratified, parallel-group, two-arm randomised waitlist-controlled pilot trials in which forty individuals with prostate cancer (CRANK-P) and forty individuals with breast cancer (CRANK-B) will be randomly assigned, in a 1:1 allocation ratio, to an e-cycling intervention or waitlist control. The intervention consists of e-bike training with a certified cycle instructor, followed by the provision of an e-bike for 12 weeks. Following the intervention period, participants in the e-bike condition will be directed to community-based initiatives through which they can access an e-bike. Data will be collected at baseline (T0), immediately post intervention (T1) and at 3-month follow-up (T2). In addition, in the intervention group, data will be collected during the intervention and follow-up periods. Quantitative and qualitative methods will be used. The primary objectives are to determine effective recruitment strategies, establish recruitment and consent rates, adherence and retention in the study, and determine the feasibility and acceptability of the study procedures and intervention. The potential impact of the intervention on clinical, physiological and behavioural outcomes will be assessed to examine intervention promise. Data analyses will be descriptive.

DISCUSSION

The findings from these trials will provide information on trial feasibility and highlight the potential of e-cycling as a strategy to positively impact the health and behaviour of individuals with prostate cancer and breast cancer. If appropriate, this information can be used to design and deliver a fully powered definitive trial.

TRIAL REGISTRATION

CRANK-B: [ISRCTN39112034]. CRANK-P [ISRCTN42852156]. Registered [08/04/2022] https://www.isrctn.com .

Health and well-being benefits of e-bike commuting for inactive, overweight people living in regional Australia

INTRODUCTION

Pedal-assisted electric-bikes (e-bikes) are bicycles fitted with electric motors. Motorised functions on e-bikes only operate when the user pedals, allowing riders a moderate amount of physical activity. This study aimed to explore the mental and physical health and well-being impacts related to ebike usage for inactive overweight or obese individuals living in regional Australia.

METHODS

Twenty inactive, overweight/obese people who seldom cycled were provided with an ebike over a 12-week period. Individual semi-structured interviews conducted at the end of the trial generated data about participants' experiences of using ebikes. Inductive thematic analysis of interview data using Thomas (2006) data analysis framework and NVivo 12 software was undertaken.

RESULTS

Data analysis revealed that e-cycling improved participants' mental and physical well-being and that they felt happier when riding an e-bike.

CONCLUSIONS

Riding an e-bike can improve mental and physical health, happiness and overall sense of well-being. Greater uptake of e-bikes would have positive health implications for the wider community. Results from this study can be used to inform active transport policy. SO WHAT?: Our study demonstrated that encouraging active transport in the form of e-cycling can improve the overall health and well-being of overweight and obese Australians. More specifically, e-cycling demonstrated a positive impact on mental health well-being.

Exploring the factors influencing the use of electrically assisted bikes (e-bikes) by stroke survivors: a mixed methods multiple case study

PURPOSE

E-bikes have the potential to overcome some of the barriers that stroke survivors face with regards to physical activity. This study aims to explore the factors that affect e-bike usage by stroke survivors.

METHODS

A mixed methods multiple case studies design, using semi-structured interviews and GPS data. Subject to GP approval, participants loaned an e-bike or e-trike for up to three months. Interviews were undertaken pre and post intervention. The COM-B behaviour change model acted as a framework for analysis. GPS data relating to journey duration and distance travelled was collected fortnightly.

RESULTS

Six participants were recruited; only three loaned an e-bike/e-trike (with adaptations as required). Storage, being unable to get GP approval, and safety were withdrawal reasons. Level of impairment was a factor influencing the type of e-bike used, level of support required and the motivation of the participants.

CONCLUSION

Stroke survivors can use e-bikes although barriers exist. Electrical assistance was a positive factor in enabling some of the participants to cycle outdoors. Due to the small sample size and the number of participants who were able to loan an e-bike, further research is required to determine whether e-bikes are a feasible and effective intervention to increase physical activity for stroke survivors.IMPLICATIONS FOR REHABILITATIONThe assistance provided by the e-bike/e-trike could provide stroke survivors the opportunity to cycle outdoors.E-bikes/e-trikes could facilitate participation of activities of everyday living such as shopping, hobbies and increase levels of physical activity.Rehabilitation could focus on physical impairment, its effects on self-confidence, and knowledge surrounding the e-bike to overcome barriers to cycling.Social support, the belief that e-bike was an enjoyable mode of physical activity that was good for their health were reported by the participants as important factors for using the e-bike/e-trike.