OBJECTIVE: Exercise is a recommended component of type 1 diabetes (T1D) treatment because high physical activity levels improve health outcomes. However, many people with T1D do not meet physical activity recommendations. Our aim in this study was to identify factors influencing physical activity levels in people with T1D.
METHODS: This questionnaire-based study included adults with T1D from 1 outpatient clinic in the United Kingdom and 2 clinics in Denmark. Exercise characteristics, motivators, and barriers were assessed. Physical activity level was measured using the Saltin-Grimby Physical Activity Level Scale. Respondents were categorized into 3 activity groups: inactive, light active, and moderate-to-vigourous active.
RESULTS: Of the 332 respondents, 8.4% rated themselves as inactive, 48% as light active, and 43% as moderate-to-vigourous active. Seventy-eight percent of inactive and light active repondents expressed a desire to become more physically active. Fifty-three percent of respondents had received guidance concerning exercise/physical activity from their diabetes team. Being male and having received guidance were associated with a higher physical activity level. The major motivators for exercising/being physically active were improved mental and physical health and glycemic control, whereas the most frequent barriers were busyness with work/private life and lack of motivation. Worries about glucose excursions, costs, lack of knowledge, and health-related reasons were more prevalent barriers in the least active groups.
CONCLUSIONS: This study demonstrated that 78% of inactive and light active respondents reported wishing to become more physically active. Receiving guidance about exercise/physical activity was associated with a higher physical activity level, but only 53% of respondents had received support from their diabetes team.

OBJECTIVE: Current exercise recommendations for people with type 1 diabetes (T1D) are based on research involving primarily young, fit male participants. Recent studies have shown possible differences between male and female blood glucose response to exercise, but little is known about whether these differences are sex-related (due to physiological differences between male and female participants) or gender-related (behavioural differences between men and women).
METHODS: To better understand gender-based behavioural differences surrounding physical activity (PA), we asked men and women (n=10 each) with T1D to participate in semistructured interviews. Topics discussed included motivation and barriers to exercise, diabetes management strategies, and PA preferences (type, frequency, duration of exercise, etc). Interview transcripts were coded by 2 analysts before being grouped into themes.
RESULTS: Six themes were identified impacting participants\' PA experience: motivation, fear of hypoglycemia, time lost to T1D management, medical support for PA, the role of technology in PA accessibility, and desire for more community. Gender differences were found in motivations, medical support, and desire for more community. Women were more motivated by directional weight dissatisfaction, and men were more motivated to stay in shape. Men felt less supported by their health-care providers than women. Women more often preferred to exercise in groups, and sought more community surrounding T1D and PA.
CONCLUSIONS: Although men and women with T1D experience similar barriers around PA, there are differences in motivation, desire for community, and perceived support from medical providers.

BACKGROUND: Physical activity is a major determinant in the prevention of chronic diseases, equally on the side effects of treatments and the consequences of the disease. It improves quality of life, but also reduces morbidity and mortality, and therefore health expenses. A sedentary lifestyle is the fourth cause of premature death in the world, in the context of chronic non-communicable diseases. In France, the prescription for adapted physical activity (APA) has been included in the law since 2016. With the development of \"Maisons Sport santé\", the Onco\'sport program was developed to enable people affected by cancer to participate in adapted physical activity. The objective of our work is to explore the lived experience of cancer patients practicing adapted physical activity as part of the Onco\'sport program.
METHODS: This is a qualitative study of 10 semi-directed individual interviews with patients participating in the Onco\'sport program, recruited from the \"Maison Sport Santé\" from Nîmes and the association \"Les Roses du Gard\". A phenomenological analysis was carried out with a semiopragmatic approach.
RESULTS: For all participants, the APA through a program provides professional supervision of Physical Activity, influences adherence and builds confidence. This program is at the origin of changes in lifestyle habits and improves the relationship with illness and their cancer thanks to the physical and psychological benefits felt. Thus, APA appears as a full-fledged supportive care which requires informing patients and promoting it so that access is facilitated and becomes a standard. Health professionals including general practitioners do not currently have an important place in the promotion of APA, and patients most often obtain documentation on their own or through associations of patient.
CONCLUSIONS: An APA program like Onco\'sport is often the cause of a return to physical activity in patients, brings overall well-being and changes lifestyle habits. It seems important to promote physical activity to patients but also to the general population, given the benefits. This promotion involves easier access to this type of supervised program, financial support and better training of health professionals.

BACKGROUND: Despite the undeniable benefits of physical activity during and beyond cancer treatments, patients do not always undertake and/or maintain it. The aim of the study is to identify, describe and understand the barriers and facilitators of physical activity practice among adults arriving at the end of treatment for solid cancer, in precarious situations, living in Seine-Saint-Denis.
METHODS: The study was conducted using a descriptive qualitative phenomenological method involving semi-directed interviews with 23 participants during and beyond cancer.
RESULTS: Multiple-level factors (micro, meso, macro) are involved in active behavior of patients. Three main facilitators were identified: perceived benefit, social support, and urban planning. Three barriers are identified: (1) physical and psychological disorders whether or not related to cancer and its treatment, (2) precariousness, organizational constraints, unfavorable social environment, (3) lack of coordination, lack of accurate and appropriate information, lack of realistic referral to physical activity offers.
CONCLUSIONS: A diversity of representations, combinations of factors, and experiences are described. Getting people with cancer to engage in and maintain long-term physical activity is a complex task, requiring multidisciplinary action on all socio-ecological factors.

OBJECTIVE: Physical activity is associated with improved health in people with type 1 diabetes. However, physical activity level may be associated with socioeconomic status. The primary aim of this study was to investigate the association between education level and physical activity level among people with type 1 diabetes.
METHODS: In this cross-sectional study, data on physical activity level (high or low) was measured using the Saltin-Grimby Physical Activity Level Scale, and education level (low, medium, or high) was self-reported.
RESULTS: Respondents were recruited from outpatient clinics (Steno Diabetes Centre Aarhus, Denmark; Nordsjællands Hospital, Denmark; or Sheffield Diabetes and Endocrine Centre, United Kingdom), by health-care personnel from September 2019 to July 2021. A total of 324 people with type 1 diabetes were included (54% male, median age 50 years [interquartile range 30-60 years]). Education level was low in 10%, medium in 33%, and high in 57%. A logistic regression analysis, adjusted for age, sex, cohabitation status and nationality, found that a medium vs. high education level was associated with lower odds of a high physical activity level (odds ratio [OR] 0.55, 95% confidence interval [CI] 0.32-0.94, p=0.029), while no association was found for low vs. high education level with high physical activity level (OR 0.56, 95% CI 0.25-1.29, p=0.173).
CONCLUSIONS: Medium education level compared with a high education level was associated with a lower level of physical activity in people with type 1 diabetes. Health-care professionals are advised to be attentive of physical activity levels among people with type 1 diabetes.

The purpose of this study was to examine whether using both objectively (accelerometer) and subjectively (questionnaire) measured moderate- to vigorous-intensity physical activity (MVPA) and sedentary time (SED) improves the prediction of prediabetes and type 2 diabetes (pre/T2D) using data from the Framingham Heart Study (n = 4200). Logistic regression was used to examine the odds ratio of pre/T2D in groups cross-classified by subjective and objective MVPA and SED. Less than half of participants fell into concordant categories of MVPA and SED using subjective and objective measures, with 7.0%-9.4% of participants in the extreme discordant categories of high-low or low-high subjective-objective MVPA or SED. Low objective MVPA, regardless of subjective MVPA status, was associated with a higher prevalence of pre/T2D (P < 0.05). When cross-classifying by MVPA and SED, the majority of participants fell into concordant categories of MVPA-SED, with <4% of participants in the extreme discordant categories of MVPA-SED. Low objective MVPA, regardless of objective SED, was associated with a higher prevalence of pre/T2D (P < 0.05). These findings suggest that low objectively measured MVPA appears more closely associated with pre/T2D risk compared with subjective measures, and there does not appear to be an additive effect of SED on pre/T2D risk after accounting for MVPA.

Our objective was to explore the association between resting-state functional connectivity and accelerometer-measured physical activity in pediatric concussion. Fourteen children with concussion (aged 14.54 ± 2.39 years, 8 female) were included in this secondary data analysis of a larger study. Participants had neuroimaging at 15.3 ± 6.7 days postinjury and subsequently a mean of 11.1 ± 5.0 days of accelerometer data. Intra-network connectivity of the default mode network (DMN), sensorimotor network (SMN), salience network (SN), and frontoparietal network (FPN) was computed using resting-state MRI. We found that, per general linear models (GLMs), only intra-network connectivity of the DMN was associated with physical activity levels. More specifically, increased intra-network connectivity of the DMN was significantly associated with higher levels of subsequent accelerometer-measured light physical activity (LPA; F(2, 11) = 7.053, p = 0.011, Ra2 = 0.562; β = 0.469), moderate physical activity (MPA; F(2, 11) = 6.159, p = 0.016, Ra2 = 0.528; β = 0.725), and vigorous physical activity (VPA; F(2, 11) = 10.855, p = 0.002, Ra2 = 0.664; β = 0.792). Intra-network connectivity of the DMN did not significantly predict sedentary time. Therefore, these preliminary findings suggest that there is a positive association between the intra-network connectivity of the DMN and device-measured physical activity in children with concussion.

The prevalence of dementia is projected to increase with the growing older adult population and prevention strategies are urgently needed. Two promising interventions include physical activity (PA) and probiotic supplementation, with initial findings suggesting their combined use may confer greater cognitive benefits than either intervention alone. However, no study has yet examined the effects of probiotic supplementation on cognitive function in healthy, physically active older adults. The present study used archival data from a randomized clinical trial including 127 physically active, middle-aged to older adults (average age 64.3 years) with self-reported PA levels meeting or exceeding recommendations to investigate the effects of probiotic supplementation (Lactobacillus rhamnosus GG; L.GG) on cognitive outcomes. Repeated measures ANOVAs showed no significant changes in cognitive performance from baseline to follow up as an effect of L.GG consumption. These results suggest that probiotic supplementation may not improve cognitive function in persons already engaged in high levels of PA. Future research should include prospective studies to determine whether long-term use of probiotic supplementation may help prevent cognitive decline. Clinical trial registration: clinicaltrials.gov; study # NCT03080818. Novelty: Initial research shows promising cognitive benefits of combined PA and probiotics consumption. L.GG did not lead to acute cognitive improvements for older adults already meeting PA guidelines. Prospective studies examining prevention of cognitive decline with probiotics in healthy and clinical samples are much needed.

Heart rate variability (HRV) measurement provides non-invasive assessment of autonomic stability and cardiometabolic disease risk. Insufficient physical activity in early childhood may contribute to negative cardiometabolic health. The Active Early Learning (AEL) study was a 6-month randomised controlled trial investigating the effects of a physical activity-based program incorporating movement within the daily curriculum of preschool children. The current study assessed the effects of the AEL intervention on HRV as a measure of cardiac vagal control. Children aged between 3-5 years and enrolled in a preschool with an attendance of ≥15 children were eligible. Physical activity was recorded using an Actigraph wGT3x accelerometer worn at the waist of participants over 3 consecutive days. A Polar H10 chest strap measured HRV with the HF-band and RMSSD representing cardiac vagal control. After 6 months of the AEL trial, linear mixed model analyses revealed a significant intervention effect for increased HF (p = 0.044). The control group did not demonstrate changes in cardiac vagal control after the intervention ceased. Independent of age, sex, physical activity and BMI, the AEL study elicited significant improvements in the cardiac vagal control of participants who received the intervention. Findings highlight the importance of investigating HRV for assessing the cardiometabolic health in young children. ANZCTR trial registration number: ACTRN12619000638134. Novelty: The AEL curriculum improved child HRV independent of age, sex, physical activity and BMI. Heart rate and RR intervals did not demonstrate changes for the intervention and control groups. Multivariate programs for developing physical competence, confidence, knowledge and motivation may improve child health.

Daily life has changed for families due to the COVID-19 pandemic. The aim of this repeated cross-sectional study was to describe movement behaviours in Canadian children and youth 6 months into the pandemic (T2; October 2020) compared with the start of the pandemic (T1, April 2020). An online survey was distributed to parents (N = 1568) of children and/or youth (5-17 years; 58% girls) in October 2020. The survey assessed changes in movement behaviours (physical activity and play, sedentary behaviours, and sleep) from before the pandemic to October 2020 (T2). We compared these data with spring data (T1; April 2020; Moore et al. 2020; Int. J. Behav. Nutr. Phys. Act, 17:85) collected using identical methodology (N = 1472; 54% girls). We report correlations between movement behaviours and relevant parental factors and provide word frequency distributions for open-ended responses. During the second wave, 4.5% of children (4.6% girls; 4.3% boys) and 1.9% of youth (1.3% girls, 2.4% boys) met the movement guidelines (3.1% overall). Whereas, during the first wave, 4.8% (2.8% girls, 6.5% boys) of children and 0.6% (0.8% girls, 0.5% boys) of youth were meeting combined guidelines (2.6% overall). Parental support was correlated with their child\'s movement behaviours (T1 and T2). Our study demonstrates the ongoing challenges for children and youth to engage in healthy movement during the pandemic. Novelty: Our large-scale national study demonstrates that children and youth were not meeting the 24-hour movement guidelines during the second wave of the pandemic. Our findings illustrate the need to protect children and youth from the collateral consequences of the pandemic.