Physical Activity Behavior Change Research Articles

Understanding the Impact of Move Your Way® Campaign Exposure on Key Physical Activity Outcomes

Introduction: The Move Your Way® campaign was developed to encourage physical activity contemplators to get active. A pilot test of campaign implementation was conducted and evaluated in eight communities between March and October 2020. Methods: A web-based, cross-sectional survey of adults collected pilot campaign outcome data after campaign implementation. Differences in outcomes between exposed and unexposed groups across the communities were compared. Results: A total of n = 5,140 responded to the survey. Across eight communities, those who reported campaign exposure had 7.2 (95% CI, 6.1-8.6) greater odds of being aware of the Physical Activity Guidelines for Americans (Guidelines) compared to unexposed respondents. Additionally, they had greater odds of identifying the correct aerobic and muscle-strengthening dosages and had 1.4 (95% CI, 1.1-1.6) greater odds of reporting meeting both the aerobic and muscle-strengthening Guidelines. Discussion: In this pilot evaluation, reported exposure to Move Your Way is associated with higher odds of being aware of the Guidelines, knowing recommended dosages, likelihood of becoming more active in the future, higher self-efficacy, making a recent physical activity behavior change, and higher physical activity levels. The Move Your Way campaign can be used in communities to promote physical activity.

Determinants of physical activity behaviour change in (online) interventions, and gender-specific differences: a Bayesian network model

BackgroundPhysical activity (PA) is known to be beneficial for health, but adherence to international PA guidelines is low across different subpopulations. Interventions have been designed to stimulate PA of different target groups by influencing relevant psycho-social determinants, essentially based on a combination of the Integrated Model for Change, the Theory of Planned Behaviour, its successor the Reasoned Action Approach and the self-determination theory. The current study investigates the pathways through which interventions influence PA. Further, gender differences in pathways of change are studied.MethodsAn integrated dataset of five different randomised controlled trial intervention studies is analysed by estimating a Bayesian network. The data include measurements, at baseline and at 3, 6 (short-term), and 12 (long-term) months after the baseline, of important socio-cognitive determinants of PA, demographic factors, and PA outcomes. A fragment is extracted from the Bayesian network consisting of paths between the intervention variable, determinants, and short- and long-term PA outcomes. For each relationship between variables, a stability indicator and its mutual information are computed. Such a model is estimated for the full dataset, and in addition such a model is estimated based only on male and female participants’ data to investigate gender differences.ResultsThe general model (for the full dataset) shows complex paths, indicating that the intervention affects short-term PA via the direct determinants of intention and habit and that self-efficacy, attitude, intrinsic motivation, social influence concepts, planning and commitment have an indirect influence. The model also shows how effects are maintained in the long-term and that previous PA behaviour, intention and attitude pros are direct determinants of long-term PA. The gender-specific models show similarities as well as important differences between the structures of paths for the male- and female subpopulations. For both subpopulations, intention and habit play an important role for short-term effects and maintenance of effects in the long-term. Differences are found in the role of self-efficacy in paths of behaviour change and in the fact that attitude is relevant for males, whereas planning plays a crucial role for females. The average of these differences in subpopulation mechanisms appears to be presented in the general model.ConclusionsWhile previous research provided limited insight into how interventions influence PA through relevant determinants, the Bayesian network analyses show the relevance of determinants mentioned by the theoretical framework. The model clarifies the role that different determinants play, especially in interaction with each other. The Bayesian network provides new knowledge about the complex working mechanism of interventions to change PA by giving an insightful overview of influencing paths. Furthermore, by presenting subpopulation-specific networks, the difference between the influence structure of males and females is illustrated. These new insights can be used to improve interventions in order to enhance their effects. To accomplish this, we have developed a new methodology based on a Bayesian network analysis which may be applicable in various other studies.

Changes in the recreational physical activity (RPA) behaviours caused by COVID-19 lockdown – a case study of Poland

ABSTRACT This article aims to describe, explain and compare the changes in Poles’ recreational physical activity (RPA) behaviours that emerged in response to the restrictions introduced by the Covid-19 pandemic. The literature review revealed gaps regarding this subject. Of particular interest is taking into account the comparison of both the national and international context and the comprehensive approach to explaining the mechanism of change. Based on the literature, the theoretical framework was developed, which was then used to design an online questionnaire. The questionnaire was conducted from 20 May to 31 October 2020 and included 533 respondents. To analyse the data, a combination of quantitative and qualitative analysis methods was used (descriptive statistics and grounded theory techniques). Research has shown that RPA behaviours changed temporally or permanently. The behaviours were partially differentiated by gender and age. In comparison to other countries, it seems to be a result of the range and strictness of the introduced restrictions and national culture. The novelty of the work consists of the combined data analysis methods, which allow for an explanation of the mechanism of changes and a comparison of results with other countries.

Association between physical health and physical activity behaviors for children aged 3-6 years in kindergarten: A cross-sectional study from China.

To explore the association between the physical health (PH) and physical activity behavior (PAB) of children aged 3 to 6 years, and to provide a basis for the scientific planning of children's physical activity behavior in kindergarten. A total of 18041 children in China aged 3 to 6 years were selected as the research subject. The PH monitoring indicators were measured according to "The National Physical Fitness Measurement Standards Manual" (Preschool Children Version) (NPFMSM), and PAB was reported by teachers. The chi-square test was used to test for differences in PH and PAB across groups, the percentile method was used to rank PAB, correlation analysis was used to analyze the association between components of PH and PAB, and multiple linear regression was used to determine the independent association between PAB and PH. Participants in this study exhibited poor PH status, and the detection rates of failure were 16.4% for boys and 16.8% for girls, and showed a decreasing trend with increasing age. The grade difference and sex difference in PH components were statistically significant (P<0.01). PAB changes to static activities with increasing age, mainly to static indoor physical activities (SIPAs). The regression effects of the total duration of physical activity (TDPA) and dynamic physical activity (DPA) on PH score and physical fitness (PF) score were significant (P < 0.01) but not statistically significant with static physical activity (SPA) (P>0.05). Dynamic outdoor physical activity (DOPA) is the core factor affecting children's PH, and is significantly positively correlated with the components of PH. PAB in kindergarten can improve children's PH, and reasonable planning of PAB in kindergarten has a targeted effect on PH promotion.

The effect of neighborhood walkability on changes in physical activity and sedentary behavior during a 12-week pedometer-facilitated intervention.

Pedometer-facilitated interventions encourage physical activity via the accumulation of steps. Mixed evidence suggests that neighborhood walkability might influence the effectiveness of physical activity interventions, including pedometer-facilitated interventions. Our study investigated the moderating effect of neighborhood walkability on immediate (4-week) and short-term (12-week) changes in self-reported neighborhood-specific leisure and transportation walking, leisure-based moderate and vigorous-intensity physical activity, and leisure-based screen time during a pedometer-facilitated intervention (UWALK). This quasi-experiment undertaken in Calgary (Canada) compared behavior changes during the 12-week intervention between two neighborhood groups classified as 'walkable' or 'car dependent' based on Walk Score®. Of the 573 volunteers (adults in the contemplation and preparation stages of physical activity behavior change), 466 participated in UWALK. Surveys captured sociodemographic characteristics, perceived neighborhood walkability, neighborhood preferences, motivation, physical activity and screen-based leisure. Covariate-adjusted linear mixed models estimated the differences in physical activity and leisure screen time between the neighborhood walkability groups at baseline, 4-weeks, and 12-weeks. UWALK participants included mostly females (83%) and had an average age of 49.2 years. Weekly minutes of walking for transport inside the neighborhood was higher (p < .001) among participants from walkable versus car dependent neighborhoods at baseline (42.5 vs. 21.1), 4-weeks (81.2 vs. 48.2), and 12-weeks (87.2 vs. 48.0). Regardless of neighborhood walkability, all physical activity outcomes were higher and leisure screen time lower at 4-weeks and 12-weeks compared with baseline. We found no significant neighborhood group by time interactions. Pedometer-facilitated interventions may be effective for supporting short-term changes in physical activity and sedentary behavior even among adults residing in low walkable neighborhoods.

Changes in physical activity behavior in children and adolescents: a systematic review and meta-analysis based on a trans-theoretical model.

This article presents a systematic review and meta-analysis of cross-sectional studies of physical activity (PA) behavioral changes in children and adolescents based on the trans-theoretical model (TTM). The main purpose is to test the rationality of TTM and the secondary purpose is to analyze whether PA can effectively identify the stages of change. The databases CNKI, Wan-Fang, VIP, WOS, PubMed, and EBSCO were searched by computer. Two researchers independently reviewed the literature, extracted data, and evaluated the quality of the literature. Stata 23.0 software was used for statistical analysis. A total of 17 articles of medium and high quality were included in the meta-analysis. First, the behavior changes of PA of children and adolescents are related to the process of change (POC), self-efficacy (SEI), and decisional balance (DBL). The POC, SEI, and DBL have obvious stage characteristics. Second, with increasing intensity of PA, the degree of discrimination of stage of change (SOC) also improved, but PA could not still fully distinguish each stage. It is suggested that follow-up studies should compare the stages of change of different criteria by comprehensive behavioral data, exercise willingness, and exercise habits. Furthermore, it is recommended that more studies use longitudinal surveys or experimental interventions to test the rationality of TTM. It is suggested that the follow-up study design more standardized measurement tools to explore the change in PA behavior of children and adolescents.

Co-designed weight management intervention for women recovering from oestrogen-receptor positive breast cancer

BackgroundWeight gain is commonly observed during and after breast cancer treatment and is associated with poorer survival outcomes, particularly in women with oestrogen receptor-positive (ER +) disease. The aim of this study was to co-design (with patients) a programme of tailored, personalised support (intervention), including high-quality support materials, to help female breast cancer patients (BCPs) with ER + disease to develop the skills and confidence needed for sustainable weight loss. MethodsER + BCPs were recruited from two UK National Health Service (NHS) Trusts. The selection criteria included (i) recent experience of breast cancer treatment (within 36 months of completing primary treatment); (ii) participation in a recent focus group study investigating weight management perceptions and experiences; (iii) willingness to share experiences and contribute to discussions on the support structures needed for sustainable dietary and physical activity behaviour change. Co-design workshops included presentations and interactive activities and were facilitated by an experienced co-design researcher (HH), assisted by other members of the research team (KP, SW and JS).ResultsTwo groups of BCPs from the North of England (N = 4) and South Yorkshire (N = 5) participated in a two-stage co-design process. The stage 1 and stage 2 co-design workshops were held two weeks apart and took place between Jan–March 2019, with each workshop being approximately 2 h in duration. Guided by the Behaviour Change Wheel, a theoretically-informed weight management intervention was developed on the basis of co-designed strategies to overcome physical and emotional barriers to dietary and physical activity behaviour change. BCPs were instrumental in designing all key features of the intervention, in terms of Capability (e.g., evidence-based information, peer-support and shared experiences), Opportunity (e.g., flexible approach to weight management based on core principles) and Motivation (e.g., appropriate use of goal-setting and high-quality resources, including motivational factsheets) for behaviour change.ConclusionThis co-design approach enabled the development of a theoretically-informed intervention with a content, structure and delivery model that has the potential to address the weight management challenges faced by BCPs diagnosed with ER + disease. Future research is required to evaluate the effectiveness of the intervention for eliciting clinically-important and sustainable weight loss in this population.

The role of physical activity in the regulation of body weight: The overlooked contribution of light physical activity and sedentary behaviors.

The role of physical activity (PA) in the regulation of body weight is still a major topic of debate. This may be because studies have essentially focused on the effects of moderate/vigorous PA (MVPA) on body weight while overlooking the other components of PA, namely, light-intensity PA (LPA, daily life activities) and sedentary behaviors (SB, too much sitting). In this review, we will (i) describe the history of changes in PA behaviors that occurred with modernization; (ii) review data from cross-sectional and longitudinal studies that examined the associations between PA, SB, and measures of obesity; (iii) review interventional studies that investigated the effects of changes in PA and SB on body weight and adiposity; and (iv) discuss experimental studies that addressed potential biological mechanisms underlying the effects of PA and SB on weight regulation. Overall recent findings support the importance of considering all components of PA to better understand the regulation of energy balance and suggest an important role for LPA and SB in addition to MVPA on body weight regulation. Longitudinal large-scale rigorous studies are needed to advance our knowledge of the role of PA/SB in combating the obesity epidemic.

The role of self-regulation strategies in physical activity behavior change: results from an exercise prescription program at a Federally Qualified Health Center

ABSTRACT Physical activity (PA) improves quality of life and prevents chronic disease, yet many adults are inactive. Planning with health care providers in the form of exercise “prescriptions“ may increase PA, but the role of individual psychosocial factors within exercise prescription programs is not well understood. Therefore, the purpose of this study is to describe the role of self-regulation strategies (e.g., goal setting, self-monitoring, reinforcements) in PA behavior change within the context of an exercise prescription program. Patients at a large, Federally Qualified Health Center with an on-site exercise facility (ie, ”Wellness Center”) referral were eligible to exercise with a personal fitness advisor. Self-reported PA and use of 15 self-regulation strategies were measured via survey at two time points and merged with electronic health records and attendance data. Patients (n = 151) were, on average, 50.3 ± 13.3 years and mostly female (76.8%). Almost one-third (30.5%) were Hispanic/Latino, 48.3% were non-Hispanic Black, and 20.5% were non-Hispanic white. Participants completed 10.7 ± 12.0 in-person exercise sessions with a fitness advisor. Between baseline and follow-up, the self-regulation strategies that had the largest change in frequency over time were keeping track of PA (p < 0.001), thinking about surroundings (p < 0.001), rewarding yourself for PA (p < 0.001), making PA more enjoyable (p < 0.001), setting goals (p < 0.001), and trying different kinds of PA (p < 0.001). Among exercise prescription program participants, the total self-regulation strategies score was significantly associated with physical activity at follow-up (p = 0.04). Leveraging self-regulatory skill-building activities within the context of exercise prescription programs in clinical settings may provide a personalized and multicomponent approach to PA promotion. Self-regulation strategy training for fitness advisors and/or health care providers has great potential for supporting long-term health behaviors like PA for managing chronic disease among underserved patients.

Physical activity and sedentary behaviour following combined aerobic and resistance training in coronary artery disease patients: A randomised controlled trial

BackgroundEffective training modalities and potential determinants to induce favourable changes in physical activity (PA) and sedentary behaviour (SB) remains elusive in patients with coronary artery disease. AimsThis study aimed to investigate the effects of high-load resistance training and low-load RT combined with aerobic training in comparison to aerobic training alone on PA and SB, and whether baseline level of SB modifies PA outcomes in coronary artery disease patients. MethodsWe randomised 79 patients to aerobic training, low-load resistance training and aerobic training or high-load resistance training and aerobic training. PA and SB were measured using triaxial accelerometer at baseline and post-training for 8 days. ResultsThere was no difference between training modalities in post-training PA and SB. When stratified by baseline SB, the very sedentary patients improved SB (−52 min/day, p = 0.001) and light intensity PA (+27 min/day, p = 0.009) following intervention. The improvement in PA was greater in the very sedentary patients (SB: +27%, p = 0.002; light intensity PA: +24%, p = 0.004) and in sedentary patients (SB: +24%, p = 0.009) compared to the very active patients. ConclusionsPost-training improvement in PA and SB was determined by baseline SB, while the addition of low-load or high-load resistance training provided no further benefits in coronary artery disease patients.Clinical trials registration number: NCT04638764.

Unsupervised Early Detection of Physical Activity Behaviour Changes from Wearable Accelerometer Data.

Wearable accelerometers record physical activity with high resolution, potentially capturing the rich details of behaviour changes and habits. Detecting these changes as they emerge is valuable information for any strategy that promotes physical activity and teaches healthy behaviours or habits. Indeed, this offers the opportunity to provide timely feedback and to tailor programmes to each participant's needs, thus helping to promote the adherence to and the effectiveness of the intervention. This article presents and illustrates U-BEHAVED, an unsupervised algorithm that periodically scans step data streamed from activity trackers to detect physical activity behaviour changes to assess whether they may become habitual patterns. Using rolling time windows, current behaviours are compared with recent previous ones, identifying any significant change. If sustained over time, these new behaviours are classified as potentially new habits. We validated this detection algorithm using a physical activity tracker step dataset (N = 12,798) from 79 users. The algorithm detected 80% of behaviour changes of at least 400 steps within the same hour in users with low variability in physical activity, and of 1600 steps in those with high variability. Based on a threshold cadence of approximately 100 steps per minute for standard walking pace, this number of steps would suggest approximately 4 and 16 min of physical activity at moderate-to-vigorous intensity, respectively. The detection rate for new habits was 80% with a minimum threshold of 500 or 1600 steps within the same hour in users with low or high variability, respectively.

COVID-19: Physical Activity Behavior Change among Athletes in Québec (Canada).

The context of the COVID-19 pandemic imposed unprecedented restrictions. Within Canada, which is among the most stringent countries in terms of sanitary rules, Québec was among the provinces that imposed the strictest sanitary measures. The impacts of some measures were felt the most among athletes since they made it difficult, if not impossible, to practice their sports. This article therefore aimed to (1) evaluate the impact of the pandemic on the athletes' overall level of physical activity, (2) look at the relationship between overall level of physical activity and the level of psychological well-being and (3) analyze post-pandemic physical activity intentions. For this purpose, an online survey was conducted among 1456 athletes aged 3 to 61 years old. The results of this study show that the limitations imposed during the pandemic led to half of athletes decreasing their overall level of physical activity, leading to a deterioration in their psychological well-being (F(2.1438) = 54.707, p &lt; 0.001). The current research provided further evidence that it is essential to implement strategies that favor practicing physical activities in a pandemic context. Furthermore, since almost all individuals who increased their practice of wheeled sports during the pandemic intend to continue after the pandemic, this is a great opportunity to promote active transportation among athletes by ensuring that the perception of the benefits associated with it does not decrease with time.

Physical activity change across retirement by device measured work-related and commuting activity

Abstract Background Work-related and commuting physical activity before retirement may contribute to changes in physical activity and sedentary time after retirement, and the aim of this study was to examine these associations. Methods Study population consisted of participants of the Finnish Retirement and Aging study (n = 119). Activity behaviour was measured with GPS and accelerometer devices. The participants provided 637 measurement days before and 557 days after retirement. Work-related physical activity was defined as physical activity accumulated at workplace. Commuting activity was dichotomised based on the speed of trips between home and workplace to active (&amp;lt;20 km/h) and passive (≥20 km/h) commute. Participants were divided into four groups: non-active workers and commuters, non-active workers but active commuters, active workers but non-active commuters, and active workers and commuters. Linear regression analysis with generalized estimating equations were used for statistical analysis. Results The change in physical activity during retirement transition markedly varied by the activity group. Lower work-related activity was associated with an increase in light physical activity and a decrease in sedentary time. Conversely, higher work-related activity was associated with a decrease in light physical activity and an increase in sedentary time, except among those active workers who were active commuters. Particularly the active workers but non-active commuters increased their sedentary time (48 min, 95% Cl 20 to 76) and decreased their light physical activity (54 min, 95% Cl -80 to -29). No statistically significant changes in moderate-to-vigorous physical activity were observed. Conclusions Our results suggest that work-related physical activity is associated with changes in physical activity behavior when retiring. Special attention should be targeted to active workers who are non-active commuters to maintain physical activity and decrease sedentary time after retirement. Key messages

Massage methods and duration of intervention in reducing muscle pain in minor KNEE injuries during the COVID-19 pandemic

During the Covid-19 pandemic, there was a change in physical activity behavior, both sports and work activities. There is a fear that exercise can increase immunity if you are infected with Covid 19. However, the risk of exercising is a mild knee injury which results in spasms of the muscles around the knee at the time of the injury. There is also a fear of coming to medical rehabilitation at the hospital because there is a concern that you are infected with Covid. An appropriate method is needed to help the injury recovery process. Testing the correct massage method in providing therapeutic interventions requires experimental testing. The independent variable in the form of the massage method used is effleurage and friction. The control group used is the Swedish method, and the dependent variable is pain reduction, so the research method used is quasi-experimental. To see a decrease in pain and not make the injury worse. The research sample used was 24 people with the purposive sampling method. They were divided into two groups: the treatment group and the control group. The place of research is a treatment at the MCO (Sports Injury Massage) handling center in Ngijo Semarang.

Investigating Rewards and Deposit Contract Financial Incentives for Physical Activity Behavior Change Using a Smartphone App: Randomized Controlled Trial.

Financial incentive interventions for improving physical activity have proven to be effective but costly. Deposit contracts (in which participants pledge their own money) could be an affordable alternative. In addition, deposit contracts may have superior effects by exploiting the power of loss aversion. Previous research has often operationalized deposit contracts through loss framing a financial reward (without requiring a deposit) to mimic the feelings of loss involved in a deposit contract. This study aimed to disentangle the effects of incurring actual losses (through self-funding a deposit contract) and loss framing. We investigated whether incentive conditions are more effective than a no-incentive control condition, whether deposit contracts have a lower uptake than financial rewards, whether deposit contracts are more effective than financial rewards, and whether loss frames are more effective than gain frames. Healthy participants (N=126) with an average age of 22.7 (SD 2.84) years participated in a 20-day physical activity intervention. They downloaded a smartphone app that provided them with a personalized physical activity goal and either required a €10 (at the time of writing: €1=US $0.98) deposit up front (which could be lost) or provided €10 as a reward, contingent on performance. Daily feedback on incentive earnings was provided and framed as either a loss or gain. We used a 2 (incentive type: deposit or reward) × 2 (feedback frame: gain or loss) between-subjects factorial design with a no-incentive control condition. Our primary outcome was the number of days participants achieved their goals. The uptake of the intervention was a secondary outcome. Overall, financial incentive conditions (mean 13.10, SD 6.33 days goal achieved) had higher effectiveness than the control condition (mean 8.00, SD 5.65 days goal achieved; P=.002; ηp2=0.147). Deposit contracts had lower uptake (29/47, 62%) than rewards (50/50, 100%; P<.001; Cramer V=0.492). Furthermore, 2-way analysis of covariance showed that deposit contracts (mean 14.88, SD 6.40 days goal achieved) were not significantly more effective than rewards (mean 12.13, SD 6.17 days goal achieved; P=.17). Unexpectedly, loss frames (mean 10.50, SD 6.22 days goal achieved) were significantly less effective than gain frames (mean 14.67, SD 5.95 days goal achieved; P=.007; ηp2=0.155). Financial incentives help increase physical activity, but deposit contracts were not more effective than rewards. Although self-funded deposit contracts can be offered at low cost, low uptake is an important obstacle to large-scale implementation. Unexpectedly, loss framing was less effective than gain framing. Therefore, we urge further research on their boundary conditions before using loss-framed incentives in practice. Because of limited statistical power regarding some research questions, the results of this study should be interpreted with caution, and future work should be done to confirm these findings. Open Science Framework Registries osf.io/34ygt; https://osf.io/34ygt.

Studying the implementation of exercise oncology interventions: a path forward.

Extensive scientific evidence supports exercise benefits after a cancer diagnosis and the field now needs to focus on elucidating effective strategies for implementing exercise evidence-based interventions (EBIs) for cancer survivors. This paper brings together three implementation efforts to describe pragmatic observations and strategies when implementing exercise oncology EBIs in non-research settings. From these projects, we report on common implementation barriers and facilitators. We then mapped these observations and strategies on to the phases and processes described in the Exploration, Preparation, Implementation, and Sustainment (EPIS) Framework. The first implementation project used key stakeholders' perspectives to develop a toolkit to implement BEAT Cancer (Better Exercise Adherence after Treatment for Cancer), a self-managed intervention led by fitness professionals. The second project adapted a physical activity behavior change intervention (Active Living after Cancer) for use in the broader community. The third project adapted an in-person exercise intervention in a community setting (Physical Activity and Lymphedema) into an out-patient rehabilitation setting, including home-based intervention elements (Strength After Breast Cancer). We retrospectively collated and operationalized the implementation strategies based on the Experts Recommending Implementation Change (ERIC) study. The most common implementation barriers were related to funding, organizational capacity and training, relationship building, patient referral, and engagement with patients. These implementation strategies provide initial starting points for the implementation of exercise oncology EBIs in clinical and community settings while also serving as examples for future implementation research to advance the translation of exercise oncology evidence.

Acceptability and Feasibility of the Telehealth Bariatric Behavioral Intervention to Increase Physical Activity: Protocol for a Single-Case Experimental Study.

BackgroundRegular physical activity (PA) is recommended to optimize weight and health outcomes in patients who have undergone metabolic and bariatric surgery (MBS). However, >70% of patients have low PA levels before MBS that persist after MBS. Although behavioral interventions delivered face-to-face have shown promise for increasing PA among patients who have undergone MBS, many may experience barriers, preventing enrollment into and adherence to such interventions. Delivering PA behavior change interventions via telehealth to patients who have undergone MBS may be an effective strategy to increase accessibility and reach, as well as adherence.ObjectiveThis paper reports the protocol for a study that aims to assess the feasibility and acceptability of the protocol or methods and the Telehealth Bariatric Behavioral Intervention (TELE-BariACTIV). The intervention is designed to increase moderate-to-vigorous intensity PA (MVPA) in patients awaiting bariatric surgery and is guided by a multitheory approach and a patient perspective. Another objective is to estimate the effect of the TELE-BariACTIV intervention on presurgical MVPA to determine the appropriate sample size for a multicenter trial.MethodsThis study is a multicenter trial using a repeated (ABAB’A) single-case experimental design. The A phases are observational phases without intervention (A1=pre-MBS phase; A2=length personalized according to the MBS date; A3=7 months post-MBS phase). The B phases are interventional phases with PA counseling (B1=6 weekly pre-MBS sessions; B2=3 monthly sessions starting 3 months after MBS). The target sample size is set to 12. Participants are inactive adults awaiting sleeve gastrectomy who have access to a computer with internet and an interface with a camera. The participants are randomly allocated to a 1- or 2-week baseline period (A1). Protocol and intervention feasibility and acceptability (primary outcomes) will be assessed by recording missing data, refusal, recruitment, retention, attendance, and attrition rates, as well as via web-based acceptability questionnaires and semistructured interviews. Data collected via accelerometry (7-14 days) on 8 occasions and via questionnaires on 10 occasions will be analyzed to estimate the effect of the intervention on MVPA. Generalization measures assessing the quality of life, anxiety and depressive symptoms, and theory-based constructs (ie, motivational regulations for PA, self-efficacy to overcome barriers to PA, basic psychological needs satisfaction and frustration, PA enjoyment, and social support for PA; secondary outcomes for a future large-scale trial) will be completed via web-based questionnaires on 6-10 occasions. The institutional review board provided ethics approval for the study in June 2021.ResultsRecruitment began in September 2021, and all the participants were enrolled (n=12). Data collection is expected to end in fall 2023, depending on the MBS date of the recruited participants.ConclusionsThe TELE-BariACTIV intervention has the potential for implementation across multiple settings owing to its collaborative construction that can be offered remotely.International Registered Report Identifier (IRRID)DERR1-10.2196/39633

Correlates of Changes in Physical Activity and Sedentary Behaviors during the COVID-19 Lockdown in France: The NutriNet-Santé Cohort Study.

Background: COVID-19 lockdowns represent natural experiments where limitations of movement impact on lifestyle behaviors. The aim of this paper was to assess how lockdowns have influenced physical activity and sedentary behaviors among French adults. Methods: 32,409 adults from the NutriNet-Santé study filled out questionnaires in April 2020 (the first 2 weeks after the start of lockdown) and in May 2020 (2 weeks before the lockdown ended). Participants were asked about changes in physical activity level and sitting time, types of physical activity performed, and main reasons for change. Results: For decreased physical activity, similar rates were found at the beginning and end of the lockdown (58 and 55%–56 and 53%, in women and men, respectively). For increased physical activity, the figures were lower (20 and 14%–23 and 18%, in women and men, respectively). The participants with a decreasing physical activity evolution were older and more likely to be living in urban areas. The main reasons for (i) decreased physical activity were limitations of movement and not liking indoor exercise, (ii) increased physical activity were to stay physically fit and healthy. Physical activity changes were inversely associated with reported depressive symptoms. Conclusions: Changes in physical activity and sedentary behaviors are heterogenous for both genders during the lockdown.

The Impact of "Home Office" Work on Physical Activity and Sedentary Behavior during the COVID-19 Pandemic: A Systematic Review.

In 2020, as part of the COVID-19 pandemic, governments around the world enacted a wide variety of regulations and laws to contain the incidence of infection. One of these measures was the relocation of work to the home office. The objective of this review was to analyze the influence of the home office in correlation with regulations on sedentary and activity behavior. A search was conducted on various electronic databases from November 2019 to January 2022, using the search terms physical activity (PA), COVID-19, and working from home. The primary outcomes were changes in PA and sedentary behavior (SB). Secondary outcomes included pain, mood, and parenting stress. The risk of bias was assessed using the (NHLBI) Quality Assessment Tool. For the review, 21 articles met the inclusion criteria (total n = 1268). There was a significant increase in SB (+16%) and a decrease in PA (−17%), Light PA (−26%), and moderate to vigorous PA (−20%). There was also an increase in pain and parenting stress and a decrease in well-being. Due to our significant results, programs that promote movement should be created. Future studies should explore how an increase of PA and a reduction of SB in the home office could be achieved.

Battling the obesity epidemic with a school-based intervention: Long-term effects of a quasi-experimental study.

School-based health-promoting interventions are increasingly seen as an effective population strategy to improve health and prevent obesity. Evidence on the long-term effectiveness of school-based interventions is scarce. This study investigates the four-year effectiveness of the school-based Healthy Primary School of the Future (HPSF) intervention on children's body mass index z-score (BMIz), and on the secondary outcomes waist circumference (WC), dietary and physical activity (PA) behaviours. This study has a quasi-experimental design with four intervention schools, i.e., two full HPSFs (focus: diet and PA), two partial HPSFs (focus: PA), and four control schools. Primary school children (aged 4-12 years) attending the eight participating schools were invited to enrol in the study between 2015 and 2019. Annual measurements consisted of children's anthropometry (weight, height and waist circumference), dietary behaviours (child- and parent-reported questionnaires) and PA levels (accelerometers). Between 2015 and 2019, 2236 children enrolled. The average exposure to the school condition was 2·66 (SD 1·33) years, and 900 participants were exposed for the full four years (40·3%). After four years of intervention, both full (estimated intervention effect (B = -0·17 (95%CI -0·27 to -0·08) p = 0·000) and partial HPSF (B = -0·16 (95%CI-0·25 to -0·06) p = 0·001) resulted in significant changes in children's BMIz compared to control schools. Likewise, WC changed in favour of both full and partial HPSFs. In full HPSFs, almost all dietary behaviours changed significantly in the short term. In the long term, only consumption of water and dairy remained significant compared to control schools. In both partial and full HPSFs, changes in PA behaviours were mostly absent. This school-based health-promoting intervention is effective in bringing unfavourable changes in body composition to a halt in both the short and long term. It provides policy makers with robust evidence to sustainably implement these interventions in school-based routine.