Browse

Background: The Exercise interveNtion outdoor proJect in the cOmmunitY (ENJOY) Seniors Exercise Park program uses specialized outdoor equipment and a physical activity program to engage older people in physical activity, with multiple health benefits. We determined the cost-effectiveness of the ENJOY program. Methods: The economic evaluation compared health care utilization costs 6 months prior to and 6 months post ENJOY program participation. Incremental cost-utility analysis for the primary aim (quality of life) and incremental cost-effectiveness analysis for the secondary aim (falls) were used. Analyses took a societal perspective inclusive of Australian government-funded health care and pharmaceuticals in addition to hospitalizations, community-based nursing and allied health, and community services. Productivity costs were also calculated. Results: Fifty participants (average age 72.8 y [SD 7.4] and 78.0% [n = 39/50] women) were included. Participation in the ENJOY program reduced health care costs in the 6 months following the program: preintervention, $9764.49 (SD $26,033.35); postintervention, $5179.30 (SD $3826.64); observed postintervention reduction −$4.585.20 (95% confidence interval, −$12,113.99 to $2943.59; P = .227) without compromising quality of life (mean difference [MD] 0.011; 95% confidence interval, −0.034 to 0.056; P = .631) or increasing the likelihood of a fall (−0.5; 95% confidence interval, 0.00 to −0.50; P = .160). The ENJOY intervention is likely cost-effective. Conclusions: Planning for shared community spaces should consider the benefits of a Seniors Exercise Park as part of the built environment.

Background: Communities are wellness landscapes of geospatially and temporally bound settings where children spend their time. Improving population physical activity (PA) requires investigating available community settings for children, such as classrooms and sport teams, and the dynamic social interactions producing PA. This protocol describes a multiscale community wellness landscape monitoring and feedback system of adult-led organized group settings and PA outcomes for children. Methods: The data system assessed organized groups for third- through sixth-grade children in 2 rural communities within seasons (fall 2018–2019). Within each season, groups were identified, sampled, and recruited. Sampled group meetings were assessed for children’s PA (accelerometry) and meeting routines (video observation). A data processing protocol time-segmented data into meetings and meeting routines into smaller units (sessions). A purpose code was assigned to each meeting (eg, classroom, sport) and session (eg, academic, PA). Group accelerometer data were paired with the coded segments. Multiscale metrics (season, meeting, and session) were generated and provided to the communities in tailored reports. Results: A total of 94 groups were recruited, and 73 groups with 1302 participants were included in the data system. Data were collected from 213 meetings and 844 sessions. Most participants (83.1%) consented to link their accelerometer data with demographic data from school enrollment records. Conclusions: The community data system identified available organized group settings for children and collected video and PA data from these settings. Incorporating setting data into local data systems provides detailed accounts of whole-of-community PA social systems to inform population health improvement efforts.

Albert Einstein taught us that “everything is relative.” People’s experience of physical activity (PA) is no different, with “relativism” particularly pertinent to the perception of intensity. Markers of absolute and relative intensities of PA have different but complimentary utilities, with absolute intensity considered best for PA guideline adherence and relative intensity for personalized exercise prescription. Under the paradigm of exercise and PA as medicine, our Technical Note proposes a method of synchronizing accelerometry with the incremental shuttle walking test to facilitate description of the intensity of the free-living PA profile in absolute and relative terms. Our approach is able to generate and distinguish “can do” or “cannot do” (based on exercise capacity) and “does do” or “does not do” (based on relative intensity PA) classifications in a chronic respiratory disease population, facilitating the selection of potential appropriate individually tailored interventions. By synchronizing direct assessments of exercise capacity and PA, clearer insights into the intensity of PA performed during everyday life can be gleaned. We believe the next steps are as follows: (1) to determine the feasibility and effectiveness of using relative and absolute intensities in combination to personalize the approach, (2) to determine its sensitivity to change following interventions (eg, exercise-based rehabilitation), and (3) to explore the use of this approach in healthier populations and in other long-term conditions.

Background: Children’s movement behaviors have been affected by the COVID-19 pandemic; however, little is known regarding movement behavior patterns over time by government-issued lockdowns. Our primary objective was to evaluate how children’s movement behaviors changed by stages of lockdown/reopening in Ontario, Canada, from 2020 to 2021. Methods: A longitudinal cohort study with repeated measures of exposure and outcomes was conducted. The exposure variables were dates from before and during COVID-19 when child movement behavior questionnaires were completed. Lockdown/reopening dates were included as knot locations in the spline model. The outcomes were daily screen, physical activity, outdoor, and sleep time. Results: A total of 589 children with 4805 observations were included (53.1% boys, 5.9 [2.6] y). On average, screen time increased during the first and second lockdowns and decreased during the second reopening. Physical activity and outdoor time increased during the first lockdown, decreased during the first reopening, and increased during the second reopening. Younger children (<5 y) had greater increases in screen time and lower increases in physical activity and outdoor time than older children (≥5 y). Conclusions: Policy makers should consider the impact of lockdowns on child movement behaviors, especially in younger children.

Background: This study aimed to clarify factors affecting changes in moderate to vigorous physical activity (MVPA) in patients 1 to 3 months after undergoing percutaneous coronary intervention (PCI). Methods: In this prospective cohort study, we enrolled patients aged <75 years who underwent PCI. MVPA was objectively measured using an accelerometer at 1 and 3 months after hospital discharge. Factors associated with increased MVPA (≥150 min/wk at 3 mo) were analyzed in participants with MVPA < 150 minutes per week at 1 month. Univariate and multivariate logistic regression analyses were performed to explore variables potentially associated with increasing MVPA, using MVPA ≥ 150 minutes per week at 3 months as the dependent variable. Factors associated with decreased MVPA (<150 min/wk at 3 mo) were also analyzed in participants with MVPA ≥ 150 minutes per week at 1 month. Logistic regression analysis was performed to explore factors of declining MVPA, using MVPA < 150 minutes per week at 3 months as the dependent variable. Results: We analyzed 577 patients (median age 64 y, 13.5% female, and 20.6% acute coronary syndrome). Increased MVPA was significantly associated with participation in outpatient cardiac rehabilitation (odds ratio 3.67; 95% confidence interval, 1.22–11.0), left main trunk stenosis (13.0; 2.49–68.2), diabetes mellitus (0.42; 0.22–0.81), and hemoglobin (1.47, per 1 SD; 1.09–1.97). Decreased MVPA was significantly associated with depression (0.31; 0.14–0.74) and Self-Efficacy for Walking (0.92, per 1 point; 0.86–0.98). Conclusions: Identifying patient factors associated with changes in MVPA may provide insight into behavioral changes and help with individualized PA promotion.

Background: This study aimed to explore association of self-reported physical activity domains of work, leisure, and transport-related physical activity and body mass index (BMI) in 9388 adult men and women from the Africa-Wits-INDEPTH partnership for Genomic (AWI-Gen) study in Africa. Africa-Wits-INDEPTH partnership for Genomic is a large, population-based cross-sectional cohort with participants from 6 sites from rural and urban areas in 4 sub-Saharan African countries. Methods: A sex-stratified meta-analysis of cross-sectional data from men and women aged 29–82 years was used to assess the association of physical activity with BMI. Results: Overall, meeting physical activity guidelines of at least 150 minutes per week was associated with 0.82 kg/m² lower BMI in men (β = −0.80 kg/m²; 95% confidence interval [CI], −1.14 to −0.47) and 0.68 kg/m² lower BMI in women (β = −0.68 kg/m²; 95% CI, −1.03 to −0.33). Sex and site-specific differences were observed in the associations between physical activity domains and BMI. Among those who met physical activity guidelines, there was an inverse association between transport-related physical activity and BMI in men from Nanoro (Burkina Faso) (β = −0.79 kg/m²; 95% CI, −1.25 to −0.33) as well as work-related physical activity and BMI in Navrongo men (Ghana) (β = −0.76 kg/m²; 95% CI, −1.25 to −0.27) and Nanoro women (β = −0.90 kg/m²; 95% CI, −1.44 to −0.36). Conclusions: Physical activity may be an effective strategy to curb rising obesity in Africa. More studies are needed to assess the impact of sex and geographic location-specific physical activity interventions on obesity.