Exploring the use of experimental small area estimates to examine the relationship between individual-level and area-level community belonging and self-rated health.

Background: Small area estimation refers to statistical modelling procedures that leverage information or "borrow strength" from other sources or variables. This is done to enhance the reliability of estimates of characteristics or outcomes for areas that do not contain sufficient sample sizes to provide disaggregated estimates of adequate precision and reliability. There is growing interest in secondary research applications for small area estimates (SAEs). However, it is crucial to assess the analytic value of these estimates when used as proxies for individual-level characteristics or as distinct measures that offer insights at the area level. This study assessed novel area-level community belonging measures derived using small area estimation and examined associations with individual-level measures of community belonging and self-rated health. Data and methods: SAEs of community belonging within census tracts produced from the 2016-2019 cycles of the Canadian Community Health Survey (CCHS) were merged with respondent data from the 2020 CCHS. Multinomial logistic regression models were run between area-level SAEs, individual-level sense of community belonging, and self-rated health on the study sample of people aged 18 years and older. Results: Area-level community belonging was associated with individual-level community belonging, even after adjusting for individual-level sociodemographic characteristics, despite limited agreement between individual- and area-level measures. Living in a neighbourhood with low community belonging was associated with higher odds of reporting being in fair or poor health, versus being in very good or excellent health (odds ratio: 1.53; 95% confidence interval: 1.22, 1.91), even after adjusting for other factors such as individual-level sense of community belonging, which was also associated with self-rated health. Interpretation: Area-level and individual-level sense of community belonging were independently associated with self-rated health. The novel SAEs of community belonging can be used as distinct measures of neighbourhood-level community belonging and should be understood as complementary to, rather than proxies for, individual-level measures of community belonging.

Prioritizing a research agenda on built environments and physical activity: a twin panel Delphi consensus process with researchers and knowledge users.

BACKGROUND: The growth of urban dwelling populations globally has led to rapid increases of research and policy initiatives addressing associations between the built environment and physical activity (PA). Given this rapid proliferation, it is important to identify priority areas and research questions for moving the field forward. The objective of this study was to identify and compare research priorities on the built environment and PA among researchers and knowledge users (e.g., policy makers, practitioners). METHODS: Between September 2022 and April 2023, a three-round, modified Delphi survey was conducted among two independent panels of international researchers (n = 38) and knowledge users (n = 23) to identify similarities and differences in perceived research priorities on the built environment and PA and generate twin 'top 10' lists of the most important research needs. RESULTS: From a broad range of self-identified issues, both panels ranked in common the most pressing research priorities including stronger study designs such as natural experiments, research that examines inequalities and inequities, establishing the cost effectiveness of interventions, safety and injuries related to engagement in active transportation (AT), and considerations for climate change and climate adaptation. Additional priorities identified by researchers included: implementation science, research that incorporates Indigenous perspectives, land-use policies, built environments that support active aging, and participatory research. Additional priorities identified by knowledge users included: built environments and PA among people living with disabilities and a need for national data on trip chaining, multi-modal travel, and non-work or school-related AT. CONCLUSIONS: Five common research priorities between the two groups emerged, including (1) to better understand causality, (2) interactions with the natural environment, (3) economic evaluations, (4) social disparities, and (5) preventable AT-related injuries. The findings may help set directions for future research, interdisciplinary and intersectoral collaborations, and funding opportunities.

Are we driving our kids to unhealthy habits? Results of the active healthy kids Canada 2013 report card on physical activity for children and youth.

This article examines the time trends in patterns of school travel mode among Canadian children and youth to inform the Active Transportation (AT) indicator of the 2013 Active Healthy Kids Canada Report Card on Physical Activity for Children and Youth. The AT grade was assigned based on a comprehensive synthesis of the 2000 and 2010 Physical Activity Monitor studies from the Canadian Fitness and Lifestyle Research Institute and the 1992, 1998, 2005, and 2010 General Social Survey from Statistics Canada. The results showed that in 2013, AT was graded a D, because less than half of Canadian children and youth used only active modes of transportation to get to and from school. The proportion of Canadian children and youth who used only inactive modes of transportation for school travel increased significantly from 51% to 62% over the last decade. Children and youth from larger communities and those with lower household income levels were significantly more likely to use AT than those living in smaller communities and those in higher income households, respectively. In conclusion, motorized transport for school travel has increased steadily over the last decade across Canada. Regional and socio-demographic disparities should be considered in efforts to increase the number of children using AT.

Activity intensity during free-living activities in children and adolescents with inherited arrhythmia syndromes: assessment by combined accelerometer and heart rate monitor.

BACKGROUND: International guidelines recommend restriction of activities for many children and adolescents with inherited arrhythmia syndromes to moderate activity (<7 metabolic equivalents [METs]). We hypothesized that moderate levels of intensity would be exceeded during free-living daily activity in these individuals when assessed objectively by combined heart rate and accelerometry monitor (Actiheart). METHODS AND RESULTS: Participants wore the Actiheart for ≤7 days on 2 occasions after a maximal exercise test that was used to calibrate the monitor individually against intensity levels. Of 16 participants, 13 (81%) had long QT syndrome, 9 (56%) were female, and median age was 12 years. Monitors were worn for a median (range) of 13 (6-14) days, and a mean (SD) of 11.3 (1.7) hours per day. Vigorous (7 MET) and very vigorous (10 MET) thresholds were exceeded by 15 and 13 participants, respectively. The median (interquartile range), individual, total weekly time spent >7 MET threshold was 113 (65-330) minutes, whereas such time spent >10 MET threshold was 53 (9-115) minutes. Total time>7 MET threshold was 2.3% of monitor wear time. There were no differences in time above threshold between male and female participants (P=0.357) or among those with different levels of activity restriction (P=0.769). CONCLUSIONS: Current recommended activity guidelines are frequently exceeded during routine free-living activities in young participants with inherited arrhythmia syndromes. Whether this indicates increased risk for these individuals or excessively restrictive guidelines remains to be determined.

Active video games and health indicators in children and youth: a systematic review.

BACKGROUND: Active video games (AVGs) have gained interest as a way to increase physical activity in children and youth. The effect of AVGs on acute energy expenditure (EE) has previously been reported; however, the influence of AVGs on other health-related lifestyle indicators remains unclear. OBJECTIVE: This systematic review aimed to explain the relationship between AVGs and nine health and behavioural indicators in the pediatric population (aged 0-17 years). DATA SOURCES: Online databases (MEDLINE, EMBASE, psycINFO, SPORTDiscus and Cochrane Central Database) and personal libraries were searched and content experts were consulted for additional material. DATA SELECTION: Included articles were required to have a measure of AVG and at least one relevant health or behaviour indicator: EE (both habitual and acute), adherence and appeal (i.e., participation and enjoyment), opportunity cost (both time and financial considerations, and adverse events), adiposity, cardiometabolic health, energy intake, adaptation (effects of continued play), learning and rehabilitation, and video game evolution (i.e., sustainability of AVG technology). RESULTS: 51 unique studies, represented in 52 articles were included in the review. Data were available from 1992 participants, aged 3-17 years, from 8 countries, and published from 2006-2012. Overall, AVGs are associated with acute increases in EE, but effects on habitual physical activity are not clear. Further, AVGs show promise when used for learning and rehabilitation within special populations. Evidence related to other indicators was limited and inconclusive. CONCLUSIONS: Controlled studies show that AVGs acutely increase light- to moderate-intensity physical activity; however, the findings about if or how AVG lead to increases in habitual physical activity or decreases in sedentary behaviour are less clear. Although AVGs may elicit some health benefits in special populations, there is not sufficient evidence to recommend AVGs as a means of increasing daily physical activity.

Physical activity, sedentary behaviour and sleep in Canadian children: parent-report versus direct measures and relative associations with health risk.

BACKGROUND: The accurate measurement of time devoted to physical activity, sedentary pursuits and sleep is difficult and varies considerably between surveys. This has implications for population surveillance and understanding how these variables relate to health. METHODS: This sample of children (n = 878) was from the 2007 to 2009 Canadian Health Measures Survey. Moderate- to-vigorous physical activity (MVPA), sedentary behaviour and sleep duration were assessed using both a questionnaire and an accelerometer. This article compared parent-reported and directly measured physical activity, sedentary behaviour and sleep, and examined their associations, alone or in combination, with selected health markers in children aged 6 to 11. RESULTS: According to parent reports, the children in this study had an average of 105 minutes of MVPA, 2.5 hours of screen time and 9.7 hours of sleep per day; accelerometers recorded 63 minutes of MVPA, 7.6 hours of sedentary time and 10.1 hours of sleep per day. MVPA, measured by parent-report or accelerometry, was significantly associated with body mass index. In a regression model, directly measured MVPA and sleep were significantly associated with body mass index, and directly measured MVPA was significantly associated with waist circumference. Parent-reported screen time approached a significant association with body mass index. INTERPRETATION: Time estimates and associations with health markers varied between parent-reported and directly measured physical activity, sedentary behaviour and sleep in children. These differences are important to understand before the two measurement techniques can be used interchangeably in research and health surveillance.

Daily step target to measure adherence to physical activity guidelines in children.

PURPOSE: There is a lack of robust evidence to support a daily step count target that equates to current physical activity guidelines in children and youth. This information would be useful to researchers and practitioners who are using pedometers to monitor physical activity. METHODS: Accelerometer and pedometer data collected on children and youth age 6-19 yr in the Canadian Health Measures Survey were used in this analysis (n = 1613). Correlation analyses of daily step counts and minutes of moderate-to-vigorous physical activity (MVPA) by age and sex were completed. The daily step count equivalent to 60 min of MVPA was derived using linear regression by age and sex. Cross-validation, including receiver operating curve analysis, was completed to compare the new cut points to one currently used as a proxy estimate of 60 min of daily MVPA (13,500 steps per day) as well as a range of possible step count targets between 8000 and 15,000 steps per day. RESULTS: Daily step counts were correlated with daily minutes of MVPA (r = 0.81, P < 0.0001). The step count equivalents to 60 min of MVPA ranged between 11,290 and 12,512 steps per day (R range = 0.59-0.74). A step count target of 12,000 steps per day resulted in closer population estimates of meeting the physical activity guideline (as measured as minutes of MVPA by accelerometer) as well as improved balance between sensitivity and specificity when compared with any cut point between 8000 and 15,000 steps per day, including the currently used daily step count target of 13,500 steps per day. CONCLUSIONS: We propose that 12,000 steps per day be used as a target to determine whether children and youth age 6-19 yr are meeting the current physical activity guideline of 60 min of daily MVPA.

Exercise-induced energy expenditure: implications for exercise prescription and obesity.

OBJECTIVE: Walking is commonly recommended to help with weight management. We measured total energy expenditure (TEE) and its components to quantify the impact of increasing exercise-induced energy expenditure (ExEE) on other components of TEE. METHODS: Thirteen obese women underwent an 8-week walking group intervention. TEE was quantified using doubly labeled water, ExEE was quantified using heart rate monitors, daily movement was assessed by accelerometry and resting metabolic rate was measured using indirect calorimetry. RESULTS: Four of the 13 participants achieved the target of 1500kcalwk(-1) of ExEE and all achieved 1000kcalwk(-1). The average ExEE achieved by the group across the 8 weeks was 1434+/-237kcalwk(-1). Vigorous physical activity, as assessed by accelerometry, increased during the intervention by an average of 30min per day. Non-exercise activity thermogenesis (NEAT) decreased, on average, by 175kcald(-1) (-22%) from baseline to the intervention and baseline fitness was correlated with change in NEAT. CONCLUSIONS: Potential alterations in non-exercise activity should be considered when exercise is prescribed. The provision of appropriate education on how to self-monitor daily activity levels may improve intervention outcomes in groups who are new to exercise. PRACTICE IMPLICATIONS: Strategies to sustain incidental and light physical activity should be offered to help empower individuals as they develop and maintain healthy and long-lasting lifestyle habits.