A regionally tailored epidemiological forecast and monitoring program to guide a healthcare system in the COVID-19 pandemic.

BACKGROUND: During the COVID-19 pandemic, analytics and predictive models built on regional data provided timely, accurate monitoring of epidemiological behavior, informing critical planning and decision-making for health system leaders. At Atrium Health, a large, integrated healthcare system in the southeastern United States, a team of statisticians and physicians created a comprehensive forecast and monitoring program that leveraged an array of statistical methods. METHODS: The program utilized the following methodological approaches: (i) exploratory graphics, including time plots of epidemiological metrics with smoothers; (ii) infection prevalence forecasting using a Bayesian epidemiological model with time-varying infection rate; (iii) doubling and halving times computed using changepoints in local linear trend; (iv) death monitoring using combination forecasting with an ensemble of models; (v) effective reproduction number estimation with a Bayesian approach; (vi) COVID-19 patients hospital census monitored via time series models; and (vii) quantified forecast performance. RESULTS: A consolidated forecast and monitoring report was produced weekly and proved to be an effective, vital source of information and guidance as the healthcare system navigated the inherent uncertainty of the pandemic. Forecasts provided accurate and precise information that informed critical decisions on resource planning, bed capacity and staffing management, and infection prevention strategies. CONCLUSIONS: In this paper, we have presented the framework used in our epidemiological forecast and monitoring program at Atrium Health, as well as provided recommendations for implementation by other healthcare systems and institutions to facilitate use in future pandemics.

Associations of Anxiety, Insomnia, and Physical Activity during the COVID-19 Pandemic.

PURPOSE: Anxiety, insomnia, and physical activity (PA) are interrelated, but the bi-directional relationships between these three variables are not well understood. Less is known of these relationships in settings of disrupted daily activities and acute stress. This study aimed to characterize and examine relationships between insomnia, anxiety, and PA throughout the first year of the COVID-19 pandemic, when many lifestyle behaviors were disrupted. METHODS: Participants comprised a convenience sample of 204 adults (55.4% female; 43.85 ± 15.85 years old) who completed the Generalized Anxiety Disorder Questionnaire (GAD-7), Insomnia Severity Index (ISI), and the International Physical Activity Questionnaire (IPAQ) at three time points through the first year of the COVID-19 pandemic. A cross-lagged panel model was used to evaluate these variables' concurrent, autoregressive, and cross-lagged relationships across time. Follow-up dynamic panel modeling using maximum likelihood and structural equation modeling was employed. RESULTS: Approximately 64% of participants reported their work/occupation as affected by the pandemic. At baseline, associations between anxiety and insomnia were observed (ß-coefficient: 15.87; p < 0.001). Insomnia was a positive future predictor of anxiety (ISI time point 2: 7.9 ± 5.6 points; GAD-7 at time point 3: 4.1 ± 4.2 points; ß-coefficient: 0.16; p < 0.01). No associations were observed between PA and anxiety or insomnia (all p > 0.05). CONCLUSIONS: Insomnia and anxiety were interrelated, and effects were cross-lagged. These data can inform future work focused on improving anxiety in settings of acute stress and disruptions to daily life, such as changes in occupational structure and stability. Specifically, targeting sleep parameters may be of interest to elicit downstream positive health behaviors.

Radical surgical resection with molecular margins is associated with improved survival in IDH wildtype GBM.

BACKGROUND: Survival is variable in patients with glioblastoma IDH wild-type (GBM), even after comparable surgical resection of radiographically-detectable disease, highlighting the limitations of radiographic assessment of infiltrative tumor anatomy. The majority of post-surgical progressive events are failures within 2cm of the resection margin, motivating supramaximal resection strategies to improve local control. However, which patients benefit from such radical resections remains unknown. METHODS: We developed a predictive model to identify which IDH wild-type GBM are amenable to radiographic gross total resection (GTR). We then investigated whether GBM survival heterogeneity following GTR is correlated with microscopic tumor burden a by analyzing tumor cell content at the surgical margin with a rapid qPCR-based method for detection of TERT promoter mutation. RESULTS: Our predictive model for achievable GTR, developed on retrospective radiographic and molecular data of GBM patients undergoing resection, had an AUC of 0.83, sensitivity of 62%, and specificity of 90%. Prospective analysis of this model in 44 patients found 89% of patients were correctly predicted to achieve a RV<4.9cc. Of the 44 prospective patients undergoing rapid qPCR TERT promoter mutation analysis at the surgical margin, 7 had undetectable TERT mutation, of which 5 also had a gross total resection (RV<1cc). In these 5 patients at 30 months follow up, 75% showed no progression, compared to 0% in the group with TERT mutations detected at the surgical margin (p=0.02). CONCLUSIONS: These findings identify a subset of patients with GBM that may derive local control benefit from radical resection to undetectable molecular margins.

Associations of sleep time, quality of life, and obesity indicators on physical literacy components: a structural equation model.

AIM: To verify the association between ideal sleep time and physical literacy components while also considering multiple mediators, such as quality of life and obesity, using a sample of adolescents. METHODS: This cross-sectional study consisted of 470 adolescents aged 11-17 years from southern Brazil. Sleep time, health-related quality of life, and physical literacy components (i.e., physical education enjoyment, sports participation, sedentary behavior, moderate to vigorous physical activity, sex, and age) were evaluated through self-reported questionnaires. In addition, body mass index (BMI), and waist circumference were determined. The theoretical/statistical support of the structural equation model was evaluated according to fit parameters and strength of association. RESULTS: A direct association was observed between more sleep time and lower levels of obesity. The obesity indicators also had a negative association with HqOL, and HqOL had a positive association with physical literacy. The indirect associations indicated that the ideal sleep time was positively associated with HqOL and physical literacy components, considering the negative mediation effect of obesity. The model explains physical literacy in 31% of the variance (R = 0.31). CONCLUSION: There was an indirect association between ideal sleep duration and quality of life and between both variables with physical literacy. These relationships occur even considering the negative influence of obesity. Therefore, a child who sleeps adequately has a higher likelihood of being physically active, regardless of obesity, potentially enhancing overall quality of life across various domains.

Effects of a physical education intervention on children's physical activity and fitness: the PROFIT pilot study.

BACKGROUND: Physical education classes are widely accepted as one of the most effective settings for promoting physical activity and health and have often been used to implement physical activity interventions. The aim of this pilot study was to test a physical education intervention program on physical activity levels and physical fitness in a sample of school-age children. METHODS: Participants were a convenience sample of 50 children (34 experimental group and 16 in the comparative group) aged between 6 and 11 years old (Mean = 8.28 years). A 21-week intervention was implemented, consisting of high-intensity and physical fitness-focused exercises, in addition to a once-a-month extra class nutritional education. The following variables were evaluated before and post-intervention: physical fitness, sedentary behavior (SB), light physical activity (LPA), moderate physical activity (MVA), and vigorous physical activity (VPA). Propensity score analyses calculated the average treatment effect on the treated (ATET) within a quasi-experimental framework. RESULTS: Physical fitness variables showed improvements after the intervention, specifically for agility (ATET = -0.67 s; p < 0.001), cardiorespiratory fitness (ATET = 89.27 m; p = 0.045), lower limbs power (ATET = 4.47 centimeters; p = 0.025), and speed (ATET = -1.06 s; p < 0.001). For physical activity and SB levels, there were no improvements after intervention implementation. CONCLUSION: The intervention program showed preliminary effectiveness to improve physical fitness of children, but not SB nor physical activity.

A Retrospective Chart Review Suggests That Coordinated, Multidisciplinary Treatment for Patients with Anorexia Nervosa Improves Odds of Weight Restoration.

Purpose: The objective of this study was to conduct a secondary data analysis of clinical information documented in the electronic medical record to assess the clinical outcomes of patients who received three different treatment approaches on clinical outcomes for treatment of patients with anorexia nervosa (AN). Patients and methods: Historical electronic medical record (EMR) data on patients aged 6 to 80 years diagnosed with AN seen in a healthcare system between 2007 and 2017 were stratified, according to services received, into three groups: Group A (n = 48) received hospital-based services; Group B (n = 290) saw one or two provider types; Group C (n = 26) received outpatient coordinated multidisciplinary care from three provider types. Clinical outcomes [body mass index for adults (BMI), body mass index percentile (BMI%ile) for pediatric patients] defined AN severity and weight restoration. EMR data were analyzed using a generalized mixed-effects model and a Markov Transition model to examine the odds of weight restoration and the change in odds of weight restoration across the number of provider visits, respectively. Results: Patients receiving coordinated multidisciplinary care had significantly higher odds of weight restoration compared with patients receiving hospital-based services only (OR = 3.76, 95% CI [1.04, 13.54], p = 0.042). In addition, patients receiving care from 1 to 2 providers (OR = 1.006, 95% CI [1.003, 1.010], p = 0.001) or receiving coordinated multidisciplinary care (OR = 1.005, 95% CI [1.001, 1.011], p = 0.021) had significantly higher odds of weight restoration per provider visit day compared with patients receiving hospital-based services only. Conclusion: This retrospective chart review supports the coordinated, multidisciplinary care model for the weight restoration in patients with AN in an outpatient setting.

The Longitudinal Association of Cardiorespiratory Fitness and Adiposity With Clustered Cardiometabolic Risk: A Mediation Analysis.

PURPOSE: Previous literature has demonstrated the mediating role of adiposity in the association between cardiorespiratory fitness (CRF) and cardiometabolic risk as well as the potential role of CRF in attenuating the adverse consequences associated with excess weight. This study aimed to evaluate the mediating role of CRF and adiposity in the possible association with cardiometabolic risk. METHOD: Observational 3-year longitudinal study that included 420 children and adolescents (10.50 [2.05] y of age at baseline; 56.2% girls). Body mass index (BMI) was calculated, and CRF was evaluated using field assessments. A clustered cardiometabolic risk score (cMetS) was calculated from glucose, systolic blood pressure, total cholesterol/high-density lipoprotein cholesterol ratio, and triglycerides z scores. Analyses evaluated the mediating role of BMI in the association between CRF and cMetS as well as whether CRF mediated the association between BMI and cMetS. RESULTS: BMI at baseline was directly associated with the cMetS at follow-up (0.102; 95% confidence interval, 0.020 to 0.181), independently of CRF, whereas CRF was only indirectly associated with cMetS at follow-up through BMI (-0.036; 95% confidence interval, -0.070 to -0.009), meaning that the association between CRF and cMetS was explained via the mediation role of BMI. CONCLUSIONS: BMI presented direct association with cMetS, whereas CRF exhibited indirect association with cMetS mediated via BMI.

Longitudinal relationship between screen time, cardiorespiratory fitness, and waist circumference of children and adolescents: a 3-year cohort study.

PURPOSE: The aim of this study was to examine the interaction between screen time and cardiorespiratory fitness (CRF) in their longitudinal association with waist circumference (WC) during a follow-up of 3 years from childhood to adolescence. METHODS: Observational 3-year longitudinal study with 401 students (224 females), seven to 15 years of age at baseline. The CRF was evaluated by estimating peak oxygen uptake (VO2peak) from an indirect field-based test and body mass index. Screen time was assessed using self-reported questionnaires. Moderation analyses were tested using a multiple linear regression model with adjustments for sex, age, puberty stage, and ethnicity. RESULTS: A statistically significant interaction term was observed (B = -0.0003; 95% CI: -0.007; -0.0001). Since screen time was contextualized as the independent variable, the results show that relationship between screen time and WC varies across different CRF levels. CONCLUSION: The findings suggest that higher CRF can attenuate the harmful association that increased sedentary behavior might have on abdominal adiposity.

Independent and joint associations of aerobic and muscle-strengthening exercise with mental health in adolescents: A cross-sectional analysis before and during COVID-19 using the 2015-2021 National Youth Risk Behavior Survey.

PURPOSE: COVID-19 led to social isolation that may have compromised adolescent mental health. This study examined the independent and joint associations of aerobic physical activity (PA) and muscle-strengthening exercise (MSE) with mental health problems in adolescents. METHODS: Participants were US adolescents who completed the 2015-2021 National Youth Risk Behavior Survey (N = 61,298; 45.7% female). Data were collected between 2015 and 2021 and analyzed in 2023. Outcomes were binary response items asking about feeling sad/hopeless, having difficulty concentrating, remembering, or making decisions, and having a suicidal ideation. Preventive exposure variables were items asking about frequencies of aerobic PA and MSE with responses dichotomized to align with recommendations. Independent and joint associations were examined using robust Poisson regression with covariates selected using double selection lasso. Structural equation models examined the associations treating PA and MSE as continuous predictors and poor mental health as a latent dependent variable. RESULTS: Meeting either recommendation alone associated with a 4-10% lower prevalence of mental health problems (APR = 0.90-0.96, p < 0.05), and meeting both recommendations associated with a 15%-20% lower prevalence of mental health problems (APR = 0.80-0.85, p < 0.001). Although categorical joint associations were stronger in males (p < 0.05), multiplicative interactions were observed in females using continuous variables for PA and MSE (ß = -0.09, p < 0.001). CONCLUSION: Meeting aerobic PA and MSE recommendations associated with lower prevalence of mental health problems. Participation in MSE below recommended levels may be beneficial for females when combined with aerobic PA. Future research should examine these associations by acquiring contextual information and device-based assessments.

Impact of Culinary Medicine Course on Confidence and Competence in Diet and Lifestyle Counseling, Interprofessional Communication, and Health Behaviors and Advocacy.

Most physicians report inadequate training to provide diet and lifestyle counseling to patients despite its importance to chronic disease prevention and management. To fill the nutrition training gap, elective Culinary Medicine (CM) courses have emerged as an alternative to curriculum reform. We evaluated the impact of an interprofessional CM course for medical and health professional students who experienced the hands-on cooking component in person or a in mixed-mode format (in-person and via Zoom) at the University of Utah from 2019-2023 (n = 84). A factorial ANOVA assessed differences between educational environment and changes between pre- and post-course survey responses related to diet and lifestyle counseling, interprofessional communication, and health behaviors and advocacy. Qualitative comments from post-course surveys were analyzed on a thematic level. Students rated themselves as having greater confidence and competence in diet and lifestyle counseling (p < 0.05) and increased ability to prepare eight healthy meals (p < 0.05). Additionally, a Mann-Whitney two-sample rank-sum test was used to compare data from exit survey responses from medical students who took the CM course (n = 48) and did not take the CM course (n = 297). Medical students who took CM were significantly more likely to agree that they could counsel patients about nutrition (p < 0.05) and physical activity (p < 0.05). CM courses may improve students' confidence to provide diet and lifestyle counseling.

The Effects of an Acute Bout of Aerobic or Resistance Exercise on Nonexercise Physical Activity.

Introduction/Purpose: A reduction in nonexercise physical activity (NEPA) after exercise may reduce the effectiveness of exercise interventions on weight loss in adults with overweight or obesity. Aerobic exercise (AEx) and resistance exercise (REx) may have different effects on NEPA. The purpose of this secondary analysis was to examine the effect of a single bout of AEx or REx on NEPA and sedentary behavior in inactive adults with overweight or obesity. Methods: Adults with overweight or obesity (n = 24; 50% male; age, 34.5 ± 1.5 yr; body mass index, 28.5 ± 0.9 kg·m-2) not meeting current physical activity guidelines completed a single 45-min bout of AEx, REx, or a sedentary control on different days in random order. After each condition, participants' NEPA was recorded for 84 h by accelerometer. Time spent sedentary and in light, moderate, and vigorous physical activity; steps; metabolic equivalent of task (MET)-hours; and sit-to-stand transitions were calculated using activity count data. Results: No differences were observed in the percent of waking time spent sedentary and in light, moderate, and vigorous activity between conditions (P > 0.05). No differences were observed in steps, MET-hours, or sit-to-stand transitions between conditions (P > 0.05). NEPA responses were variable among individuals, with approximately half of participants reducing and half increasing NEPA over the 84 h after each exercise condition. Conclusion: NEPA was not reduced after an acute bout of AEx or REx in a sample of inactive adults with overweight or obesity.

Prevalence and Correlates of Uncontrolled Hypertension, Persistently Uncontrolled Hypertension, and Hypertensive Crisis at a Healthcare System.

BACKGROUND: Uncontrolled hypertension significantly increases risk of cardiovascular disease and death. This study examined the prevalence of uncontrolled hypertension, persistently uncontrolled hypertension, and hypertensive crisis and factors associated with these outcomes in a real-world patient cohort. METHODS: Electronic medical records from a large healthcare system in North Carolina were used to identify adults with uncontrolled hypertension (last ambulatory blood pressure [BP] measurement ≥140/90); persistently uncontrolled hypertension (≥2 ambulatory BP measurements with all readings ≥140/90); and hypertensive crisis (any BP reading ≥180/120) in 2019. Generalized linear mixed models tested the association between patient and provider characteristics and each outcome. RESULTS: The study cohort included 213,836 patients (mean age 63.1 (±14.0) years, 55.5% female, 70.8% white). Of these, 29.7% and 13.1% had uncontrolled hypertension and hypertensive crisis, respectively. Among those experiencing hypertensive crisis, >50% did not have uncontrolled hypertension. Of the 171,061 patients with ≥2 BP measurements, 5.9% had persistently uncontrolled hypertension. The likelihood of uncontrolled hypertension, persistently uncontrolled hypertension, and hypertensive crisis was higher in patients with black race (vs. white), self-pay (vs. private), prior emergency room visit, and no attributed primary care provider. Readings taken in the evening (vs. morning) and at specialty (vs. primary care) practices were more likely to meet thresholds for uncontrolled hypertension and hypertensive crisis. CONCLUSIONS: Hypertension control remains a significant challenge in healthcare. Health systems may benefit from segmenting their patient population based on factors such as race, prior healthcare use, and timing of BP measurement to prioritize outreach and intervention.

Dose-response associations of Monitor-Independent Movement Summary with health-related fitness in youth.

The purpose of this study was to determine the dose-response associations between Monitor-Independent Movement Summary (MIMS) units and health-related fitness in youth. The sample comprised US children and adolescents who participated in the 2012 National Youth Fitness Survey (NNYFS; N = 1158, 48.9% female). Health-related fitness domains were assessed using tests of cardiorespiratory endurance (timed maximal and graded treadmill tests), muscular strength (modified pull-up and grip tests), and muscular endurance (plank test). Movement data were collected using wrist-worn ActiGraph accelerometers with raw data processed using MIMS and the calculated metrics of average MIMS/day, Peak 60-min MIMS, and Peak 30-min MIMS. Weighted regression models examined linear associations between MIMS metrics and fitness test scores. Nonlinear associations were examined using weighted spline models with knots placed at the 10th, 50th, and 90th percentiles. Models were adjusted for covariates and fit was examined using the coefficient of determination (R2 ). The strongest adjusted linear relationships included a positive association between MIMS/day (per every 1000 units) and maximal endurance times (b = 5.5 s, p < 0.001) and between Peak 60-min MIMS (per every 10 units) and estimated aerobic capacity (b = 1.7 mL/kg/min, p < 0.001), modified pull-ups (b = 0.7 reps, p < 0.001), and plank test scores (b = 5.0 s, p < 0.001). Linear spline models had slightly higher R2 values (R2 range = 16.9%-74.8%) compared to linear models (R2 range = 15.0%-74.5%). The relationship between MIMS metrics and fitness test scores was best modeled as piecewise linear functions. Although all MIMS metrics associated with cardiorespiratory endurance, Peak 60-min MIMS showed stronger associations with tests of muscular strength and endurance.

Preliminary Efficacy of a Multi-Behavioral Zoom-Based Peer Health Coaching Intervention in Young Adults: A Stepped Wedge Randomized Controlled Trial.

The purpose of this study was to test the preliminary efficacy of a Zoom-based peer coaching intervention on health and risk behaviors in young adults. A convenience sample of young adults was recruited from one U.S. university (N = 89; 73.0 percent female). Participants were randomized to one of two coaching session sequences within the framework of a stepped wedge randomized controlled trial. One experimental sequence received a control condition and a single coaching session, and the second sequence received two sessions. The intervention was a 1-hour program delivered by peer health coaches in a one-on-one setting on Zoom. The program consisted of a behavior image screen, a consultation, and goal planning. Behavioral assessments were completed after each condition. Mixed-effects models were employed to test for behavior differences after coaching sessions compared with the control condition (no coaching session) adjusting for baseline scores. Participants reported significantly higher levels of vigorous physical activity (b = 750 metabolic equivalent of task minutes, p < 0.001), a lower frequency of e-cigarette use (b = -2.1 days; p < 0.001), and a lower risk of e-cigarette susceptibility after two sessions (relative risk = 0.04, p = 0.05), and higher odds of using stress reduction techniques after one session (odds ratio = 1.4, p = 0.04). A nonsignificant trend was observed for longer weekday sleep (b = 0.4 h/night, p = 0.11) after two coaching sessions. The Zoom-based peer health coaching intervention may be an efficient way to improve vigorous physical activity, lower e-cigarette use and susceptibility, and facilitate the use of stress reduction techniques in young adults. The results observed from this preliminary study warrants further investigation using powered effectiveness trials.

Bidirectional associations of physical activity, sleep, and self-reported mental health in young adults participating in an online wellness intervention during the COVID-19 pandemic.

Purpose: The purpose of this study was to examine the bidirectional associations of physical activity (PA), sleep, and mental health in young adults participating in an online wellness intervention from October 2021 to April 2022. Methods: Participants were a sample of undergraduate students from one US university (N = 89; 28.0% freshman; 73.0% female). The intervention was a 1-h health coaching session that was delivered either once or twice by peer health coaches on Zoom during COVID-19. The number of coaching sessions was determined by random allocation of participants to experimental groups. Lifestyle and mental health assessments were collected at two separate assessment timepoints after each session. PA was assessed using the International Physical Activity Questionnaire-Short Form. Weekday and weekend sleep were assessed by two one-item questionnaires and mental health was calculated from five items. Cross-lagged panel models (CLPMs) examined the crude bidirectional associations of PA, sleep, and mental health across four-time waves (i.e., T1 through T4). To control for individual unit effects and time-invariant covariates, linear dynamic panel-data estimation using maximum likelihood and structural equation modeling (ML-SEM) was also employed. Results: ML-SEMs showed that mental health predicted future weekday sleep (ß = 0.46, p < 0.001) and weekend sleep predicted future mental health (ß = 0.11, p = 0.028). Although CLPMs showed significant associations between T2 PA and T3 mental health (ß = 0.27, p = 0.002), no associations were observed when unit effects and time-invariant covariates were accounted for. Conclusion: Self-reported mental health was a positive predictor of weekday sleep and weekend sleep positively predicted mental health during the online wellness intervention.

The stability of cardiometabolic risk factors clustering in children and adolescents: a 2-year longitudinal study.

Objective: The present study aims to verify the odds of remaining with the clustering of 3 or more, 4 or more, and 5 or more risk factors across a 2-year time span. Methods: Observational longitudinal study that included 358 children and adolescents (10.96 ± 2.28 years of age at baseline). Cardiorespiratory fitness, glucose, systolic blood pressure, total cholesterol/high-density lipoprotein cholesterol ratio, triglycerides, and waist circumference were assessed. The number of children in whom the risk factors were not independently distributed was analyzed. Odds ratios of presenting n risk factors clustered at follow-up according to the number of risk factors observed at baseline were calculated. Results: More participants than expected were found presenting clustering of 4 or more and 5 or more risk factors at both baseline (11.7% and 5.6%, respectively) and follow-up (9.5% and 5.6%, respectively). The odds ratios calculated demonstrated that the odds of presenting the same number of risk factors clustered or more at follow-up increased according to the number of risk factors clustered at baseline. Conclusion: The higher the number of risk factors a child had at baseline, the higher the odds of presenting the same number of risk factors or more after two years of follow-up. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-022-01174-1.

Development of an Online Mind-Body Physical Activity Intervention for Young Adults during COVID-19: A Pilot Study.

The purpose of this study was to examine the association between the implementation of an online mind-body physical activity (MBPA) intervention and physical activity (PA), stress, and well-being in young adults during COVID-19. The participants were a sample of college students (N = 21; 81% female). The MBPA intervention was organized in four online modules that were administered asynchronously for 8 weeks with three separate 10 min sessions per week. The intervention components consisted of traditional deep breathing, diaphragm mindful breathing, yoga poses, and walking meditation. Objective PA behaviors were assessed using wrist-worn ActiGraph accelerometers, and stress and well-being data were collected using validated self-report instruments. A 2 (sex) × 3 (time) doubly multivariate analysis of variance test with a univariate follow-up showed that the % of wear time in light (LPA) and moderate-to-vigorous physical activity (MVPA) was significantly higher at the end of the intervention compared to baseline (LPA mean difference = 11.3%, p = 0.003, d = 0.70; MVPA mean difference = 2.9%, p < 0.001, d = 0.56). No significant differences were observed for perceived stress and well-being, and there was no moderating effect of sex. The MBPA intervention showed promise, as it was associated with higher PA in young adults during COVID-19. No improvements were observed for stress and well-being. These results warrant further testing of the intervention's effectiveness using larger samples.

Interstitiality in the smart city: More than top-down and bottom-up smartness.

The critical research agenda on smart cities has tended to assume a largely top-down orientation in which powerful actors like the state and corporations enact programmes to embed Information & Communication Technologies (ICT) in the urban landscape. Because of the way research has framed this relation of power, the dominant response has been to seek social justice by either contesting these top-down exercises of (digital) power or by reconceptualising the smart city 'from below'. In this paper, we join a growing chorus of voices recognising the importance of interstitial actors that influence the ways in which the smart city manifests. We draw on a five-year ongoing study in Calgary, Alberta, to examine two actor groups that are, properly, neither top-down nor bottom-up, but play an important role in envisioning, implementing and contesting how 'smartness' is framed. The first set of actors, situated between the top and bottom of the smart city hierarchy, are most prominently community associations, non-profit organisations and ad-hoc task groups. The second group is comprised of groups with different digital practices, whose spectre of marginalisation influences how digital systems are articulated and pursued. These actors strategically move between different interstices in order to enact particular kinds of political influence, and often influence smart cities by virtue of their absence, profoundly impacting urban political geographies of smartness.

Moderating Influence of Home Location and School Type Across Time on Cardiometabolic Risk and Active School Commuting: A Five-Year Longitudinal Study.

Background: We examined the moderating influence of home location and school type across time on cardiometabolic risk and active school commuting over 5 years in a sample of children from southern Brazil. Methods: We recruited a sample of children (n = 154; baseline age = 9.6 ± 1.5 years old; 56.8% female) who were followed for 5 years from 2011/2012 to 2016/2017. We collected home location, school type, and school commute data using self-report methods and collected cardiometabolic risk measures to calculate a cardiometabolic composite risk score (cMetSyn). General and generalized linear mixed effects models were employed to examine the moderating influence of home location and school type across time on cardiometabolic risk and active school commuting. Results: We found a significant three-way home location × school type × time interaction on cMetSyn scores (b = 0.62, 95% confidence interval [CI]: 0.13-1.12, p = 0.014), indicating that children who were living within rural areas and enrolled in state schools during 2016/2017 had higher cardiometabolic risk compared with children enrolled in municipal schools and living in urban areas at the end of the study. Additionally, we found that children living in rural areas had an 86% lower rate of active school commuting compared with students living in urban areas (rate ratio = 0.14, 95% CI: 0.07-0.32, p < 0.001). Conclusions: The results suggest that Brazilian children enrolled in state schools and living in rural areas had higher cardiometabolic risk scores at the end of the study and that southern Brazilian children residing in rural areas had a much lower rate of actively commuting to school.