Longitudinal perspective of autonomy support on habitual physical activity of adolescents

The evidence collected in the area of physical education indicates the need to continue to delve into the relationships and models that satisfy the basic psychological needs of the students and their consequences, in order to promote a high rate of physical activity. The aim of this study was to test the relationship between autonomy support, basic psychological needs and self-determined motivation with respect to enjoyment, intention towards practice and habitual physical activity. A sample of 717 students, aged between 13 and 19 years old was used. A longitudinal design was carried out with two measurement time points. The results indicated positive relationships for all model variables between the two measurement times. The results obtained are discussed with respect to the use of an interpersonal style to support autonomy in the academic context of physical education classes for the promotion of greater commitment and adherence to physical activity.

Characterisation of Temporal Patterns in Step Count Behaviour from Smartphone App Data: An Unsupervised Machine Learning Approach

The increasing ubiquity of smartphone data, with greater spatial and temporal coverage than achieved by traditional study designs, have the potential to provide insight into habitual physical activity patterns. This study implements and evaluates the utility of both K-means clustering and agglomerative hierarchical clustering methods in identifying weekly and yearlong physical activity behaviour trends. Characterising the demographics and choice of activity type within the identified clusters of behaviour. Across all seven clusters of seasonal activity behaviour identified, daylight saving was shown to play a key role in influencing behaviour, with increased activity in summer months. Investigation into weekly behaviours identified six clusters with varied roles, of weekday versus weekend, on the likelihood of meeting physical activity guidelines. Preferred type of physical activity likewise varied between clusters, with gender and age strongly associated with cluster membership. Key relationships are identified between weekly clusters and seasonal activity behaviour clusters, demonstrating how short-term behaviours contribute to longer-term activity patterns. Utilising unsupervised machine learning, this study demonstrates how the volume and richness of secondary app data can allow us to move away from aggregate measures of physical activity to better understand temporal variations in habitual physical activity behaviour.

Effect of a personalised mHealth home-based training application on physical activity levels during and after centre-based cardiac rehabilitation: rationale and design of the Cardiac RehApp randomised control trial

Many patients lapse into a physically inactive lifestyle within months after cardiac rehabilitation (CR) programme completion. A mobile-health (mHealth) home-based training application can be used to intensify and/or prolong the CR programme to induce long-lasting improvements of habitual physical activity levels. This study will assess the effect of an additional home-based training module during CR and post-CR on habitual physical activity levels among coronary artery disease patients. A total of 132 patients (>18 years old) will be recruited in an 18-week randomised controlled trial with four arms: (1) 6 weeks centre-based CR (ie, standard care), (2) 6 weeks combined centre-based+mHealth home-based CR, (3) 6 weeks centre-based CR followed by 12 weeks mHealth home-based CR, (4) 6 weeks combined centre-based+mHealth home-based CR followed by 12 weeks mHealth home-based CR. The intervention groups will receive a daily and personalised exercise training using a smartphone application (Virtual Training) in addition to and/or as extension of the centre-based CR programme. The participants will be assessed prior to the centre-based CR programme, after completion of the 6-week CR programme and after the 12 weeks extension. Primary outcome will be objectively measured habitual physical activity levels expressed as moderate to vigorous intensity activities (min/week). Secondary outcome parameters include sedentary behaviour, physical fitness (estimated VO2max), handgrip strength, cardiovascular risk profile, quality of life and cardiac anxiety scores. The findings of the Cardiac RehApp study will provide insight into the added value of a personalised mHealth home-based training application on physical activity levels during and after centre-based CR. Trial registration number: NL72182.091.019.

Habitual Physical Activity in Patients with Myasthenia Gravis Assessed by Accelerometry and Questionnaire

Background: Physical activity (PA) in patients with myasthenia gravis (MG) is considered safe and beneficial, and an active lifestyle is required to obtain the health benefits of exercise. However, as the disease leads to physical impairments an insight into the overall PA habits in this patient population is relevant but lacking. Objective: To measure habitual physical activity in a Danish cohort of patients with MG measured by accelerometer and questionnaire, and to determine relevant predictors for PA intensities. Methods: Habitual physical activity was assessed by; 1) the accelerometer Acti Graph in a cohort of patients recruited from our neuromuscular clinic, 2) the International Physical Activity Questionnaire (IPAQ) in a web-based survey. PA levels were compared to international recommendations. Predictors for PA (age, sex, body mass index, disease severity and duration) were included in the regression analyses. Results: Habitual physical activity was measured by accelerometer for 7 days in 69 patients and by questionnaire in 691 patients. Measured by the accelerometer, 46%of the patients did not meet the international recommendations for PA at moderate/vigorous intensity and 57%were below the recommendations for steps per day. Measured by the IPAQ, 48%did not meet the recommendations. Disease severity and age were predictors for PA intensities. Conclusions: This study found that around half of the included patients did not meet the recommendations for PA. This is a concern, as it increases the risk of life-style related diseases. Disease severity and age may be taking into consideration when counseling the patients about PA.