Is adherence to the 24-h movement guidelines associated with greater academic-related outcomes in children and adolescents? A systematic review and meta-analysis.

The purpose of this systematic review was to synthesise the evidence for the association of adherence to the 24-h movement guidelines with academic-related outcomes in children and adolescents. This systematic review was based on the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) statement. PubMed, PsycINFO, Scopus, WOS, SPORTDiscus, and EMBASE were searched from their inception to 12 December 2023. The Joanna Briggs Institute (JBI) Critical Appraisal Checklist was used to assess the risk of bias of included studies. In total, 4326 records were identified through database searches; 10 articles met the inclusion criteria and were included in this systematic review. There were eight cross-sectional studies and two longitudinal studies; the main academic-related outcomes were academic achievement and cognitive function. A small association between adherence to all three recommendations and academic achievement (k = 5, r = 0.17, 95% CI = 0.10-0.24, I2 = 49%) was found compared to those who did not adhere to any recommendations.   Conclusion: Findings from this systematic review and meta-analysis reveal a small association between adherence to all three recommendations and greater academic achievement in children and adolescents. Nevertheless, it is imperative to underscore the need for more studies to establish robust evidence underpinning this relationship.   Trial registration: PROSPERO (CRD42021295403). What is Known: • Regular physical activity, reduced screen time, and optimal sleep duration are independently associated with improved academic-related outcomes in children and adolescents. • The associations between adherence to the 24-h movement guidelines and academic-related outcomes in children and adolescents have not been quantitatively synthesised. What is New: • There is a small but positive association between adherence to all three recommendations of the 24-h movement guidelines and greater academic achievement in children and adolescents. • Further well-designed research is needed to focus on academic achievement, cognitive function and classroom behaviours in young individuals.

Compliance with the 24-hour movement behaviour guidelines among children and adolescents with disabilities: a systematic review and meta-analysis.

BACKGROUND: Compliance with the 24-Hour Movement Guidelines (24-HMG: physical activity (PA), screen time (ST), and sleep) has been associated with numerous beneficial health outcomes among children and adolescents. However, there is a lack of consensus on the overall compliance with the 24-HMG specifically among children and adolescents with disabilities. Therefore, this systematic review and meta-analysis aimed to examine the extent to which children and adolescents with disabilities adhere to the 24-HMG globally. METHOD: Quantitative studies published in English until May 2023 were sought by searching seven electronic databases: Web of Science, PubMed, SPORTDiscus, CINAHL, MEDLINE, Scopus, Psychology and Behavioural Sciences Collection. This review included studies that identified participants as individuals with disabilities and reported the overall (non) compliance with the 24-HMG among children and adolescents with disabilities. RESULTS: A total of 13 studies, involving 21,101 individuals (65.95% males), aged 6 to 21 years from 9 countries, were included in the analysis. In general, 7% (95%CI: 0.05-0.09, p < 0.01) of children and adolescents with disabilities met all three 24-HMG, while 16% (95%CI: 0.13-020, p < 0.01) did not meet any of the three recommendations. Regarding adherence to individual 24-hour movement behaviour, the rates of compliance were 22% (95%CI: 0.18-0.25, p < 0.01) for PA, 49% (95%CI: 0.41-0.56, p < 0.01) for ST, and 59% (95%CI: 0.56-0.61, p < 0.01) sleep. In relation to numbers of those meeting the 24-HMG, 43% (95%CI: 0.41-0.45, p < 0.01) met one guideline, while 32% (95%CI: 0.28-0.36, p < 0.01) met two guidelines. CONCLUSION: There is a notable percentage of children and adolescents with disabilities who do not meet the recommended the 24-HMG, which encompasses PA, ST, and sleep. This underscores the pressing requirement to create and execute evidence-based strategies that effectively encourage and assist these individuals with disabilities in adopting and maintaining these movement behaviours.

Movement behaviour education for parents in prenatal, postnatal, and pediatric care in Canada: A needs assessment.

BACKGROUND: Parents/guardians can greatly influence their child's movement behaviours (i.e., physical activity, sedentary behaviour, and sleep). Yet, they have reported to lack sufficient background knowledge to foster healthy movement habits, and little is known about specific educational gaps. The aim of this study was to explore the educational background and needs regarding promoting healthy movement behaviours in early childhood among parents/guardians living in Canada. METHODS: A cross-sectional study was conducted with parents/guardians living in Canada who had at least one child under the age of 5 years. Participants completed an online survey capturing their demographics, information they received about movement behaviours in early childhood during their prenatal/postnatal care or child's pediatrician appointments, where they sourced information about these topics, content areas they would like more information on, and preferred format for delivery. Descriptive statistics and frequencies were calculated for all outcome variables and logistic regression was used to explore if sociodemographic variables were associated with receiving movement behaviour-related education across care types. RESULTS: Among the 576 parents/guardians who completed the survey, many reported no mention of any movement behaviour in their prenatal (49.4%), postnatal (29.6%), and pediatric care (37.2%). Physical activity was the most cited movement behaviour across care types, with 42.4%, 57.9%, and 54.8% of participants indicating this was discussed in their prenatal, postnatal, and pediatric care, respectively. Only 41.7% of parents/guardians reported asking their child's pediatrician about movement behaviours, while most relied on social media (70.9%), internet websites/news articles (68.7%), and family/friends (67.6%). The most sought-after movement behaviour topics included incorporating movement into traditionally sedentary activities (68.8%) and activity ideas to break up sitting time (65.0%), and participants expressed preference to receive more information via social media (63.2%), an online resource package (47.8%), or email (46.6%). CONCLUSIONS: Given the noted inconsistencies in education relating to movement behaviours in maternal and pediatric care, this study highlights the opportunity for greater integration of this type of education across care types. Ensuring all parents/guardians receive evidence-based and consistent guidance on their child's movement behaviours will help ensure young children receive the best start to a healthy active life.

The 24-h movement behaviours composition is associated with parasympathetic modulation in preschoolers.

AIM: To investigate the associations between 24-h movement behaviours and heart rate variability (HRV) in preschool children. METHODS: A total of 123 preschoolers (4.52 ± 0.25 years old; 62 girls) were assessed for physical activity (PA) and sedentary behaviour (SB) using an accelerometer (Actigraph WGT3x). Sleep duration (SD) was parent-reported. Children were laid down in a supine position for 10 min to assess HRV data. The R-R intervals recorded during the last 5 min of this period were analysed. We conducted compositional analysis in R studio, and the significance level was 95%. All ethical procedures were followed, and the study had the approval of the local ethical board. RESULTS: When considered as a composition, adjusted for age, body mass index and sex, the 24-h movement composition (PA, SB and SD) significantly predicted better parasympathetic modulation (Root mean square of the successive differences [RMSSD] [p = 0.04; r2 = 0.13]), but not high frequency (HF) (nu) (p = 0.51, r2 = 0.01), low frequency (nu) (p = 0.52, r2 = 0.02),or standard deviation (standard deviation of normal-to-normal intervals) (p = 0.55, r2 = 0.02), respectively. CONCLUSION: These results suggest the 24-h movement composition predicted the RMSSD time-domain index related to parasympathetic activity.

International study of 24-h movement behaviors of the early years (SUNRISE): A pilot study from Iran.

BACKGROUND: This study examined the proportion of Iranian children who met the World Health Organization (WHO) Guidelines for physical activity, sedentary behaviour and sleep for children under 5 years. Additionally, it investigated the feasibility and acceptability of the methods to be used in the SUNRISE study. METHODS: This pilot study was conducted among 83 children aged 3 and 4 years in preschools and health care centres in Iran, in 2022. Physical activity, sedentary behaviour and sleep (ActiGraph wGT3x-BT); fine and gross motor skills (validated activities); and executive functions (the Early Years Toolbox) were assessed. RESULTS: Only four (4.8%) children met all recommendations of the WHO guidelines. The proportion of children who met MVPA, TPA, screen time, restrained sitting and sleep were 44.6%, 38.6%, 19.3%, 38.6% and 65.1%, respectively. Fifty-two (62.6%) children wore the ActiGraph for at least three full days. A total of 97.6%, 95.1% and 91.5% of children completed anthropometric, EF and motor skill assessments, respectively. CONCLUSION: This pilot study was feasible and acceptable among Iranian children. Regarding the low proportion of children who met the WHO guidelines, it is recommended that long-term and practical strategies be developed to promote healthier lifestyles among preschool children in Iran.

Defining and reporting activity patterns: a modified Delphi study.

BACKGROUND: Despite significant interest in assessing activity patterns in different populations, there has been no consensus concerning the definition and operationalisation of this term. This has limited the comparability, interpretability, and synthesis of study findings to date. The aim of this study was to establish a consensus regarding the way in which activity patterns and activity pattern components are defined and reported. METHODS: The activity patterns literature was searched to identify experts to be invited to participate and to develop a proposed definition of activity patterns and activity pattern components. A three-round modified Delphi survey was conducted online (November 2021 to May 2022). In Round 1, participants were asked to rate their agreement with a proposed activity patterns definition, which also included six activity pattern components (e.g., activity intensity, activity bout, transitions), six examples of activity patterns (e.g., frequency of postural transitions in discrete time periods) and eight items for reporting activity patterns in future research (n = 21 items). Open-ended questions enabled participants to provide further comments and suggestions for additional items. Consensus was defined a priori as ≥ 80% participants rating their agreement with an item. In Round 2, participants were asked to rate their agreement with 25 items (13 original items, eight amended, and four new). In Round 3, participants rated their agreement with 10 items (five original items, four amended, and one new). RESULTS: Twenty experts in activity patterns research participated in Round 1, with response rates of 80% and 60% in Rounds 2 and 3, respectively. The proposed activity pattern definition, all activity pattern components definitions, four of the six activity pattern examples, and 10 items in the activity patterns reporting framework achieved consensus. The removal of one activity component item between Rounds 1 and 2 achieved consensus. CONCLUSION: This modified Delphi study achieved consensus for defining and reporting activity patterns for the first time. This consensus definition enables standardisation of activity patterns terminology, which is important given the significant interest in quantifying how individuals accumulate their physical activity and sedentary behaviour across the lifespan to inform the development of future public health guidelines and interventions efforts.

Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants.

BACKGROUND: Movement behaviours, including physical activity, sedentary behaviour, and sleep have been shown to be associated with several chronic diseases. However, they have not been objectively measured in large-scale prospective cohort studies in low-and middle-income countries. We aim to describe the patterns of device-measured movement behaviours collected in the China Kadoorie Biobank (CKB) study. METHODS: During 2020 and 2021, a random subset of 25,087 surviving CKB individuals participated in the 3rd resurvey of the CKB. Among them, 22,511 (89.7%) agreed to wear an Axivity AX3 wrist-worn triaxial accelerometer for seven consecutive days to assess their habitual movement behaviours. We developed a machine-learning model to infer time spent in four movement behaviours [i.e. sleep, sedentary behaviour, light intensity physical activity (LIPA), and moderate-to-vigorous physical activity (MVPA)]. Descriptive analyses were performed for wear-time compliance and patterns of movement behaviours by different participant characteristics. RESULTS: Data from 21,897 participants (aged 65.4 ± 9.1 years; 35.4% men) were received for demographic and wear-time analysis, with a median wear-time of 6.9 days (IQR: 6.1-7.0). Among them, 20,370 eligible participants were included in movement behavior analyses. On average, they had 31.1 mg/day (total acceleration) overall activity level, accumulated 7.7 h/day (32.3%) of sleep time, 8.8 h/day (36.6%) sedentary, 5.7 h/day (23.9%) in light physical activity, and 104.4 min/day (7.2%) in moderate-to-vigorous physical activity. There was an inverse relationship between age and overall acceleration with an observed decline of 5.4 mg/day (17.4%) per additional decade. Women showed a higher activity level than men (32.3 vs 28.8 mg/day) and there was a marked geographical disparity in the overall activity level and time allocation. CONCLUSIONS: This is the first large-scale accelerometer data collected among Chinese adults, which provides rich and comprehensive information about device-measured movement behaviour patterns. This resource will enhance our knowledge about the potential relevance of different movement behaviours for chronic disease in Chinese adults.

How do 24-h movement behaviours change during and after vacation? A cohort study.

BACKGROUND: For adults, vacations represent a break from daily responsibilities of work - offering the opportunity to re-distribute time between sleep, sedentary behaviour, light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) across the 24-h day. To date, there has been minimal research into how activity behaviour patterns change on vacation, and whether any changes linger after the vacation. This study examined how daily movement behaviours change from before, to during and after vacations, and whether these varied based on the type of vacation and vacation duration. METHODS: Data collected during the Annual Rhythms In Adults' lifestyle and health (ARIA) study were used. 308 adults (mean age 40.4 years, SD 5.6) wore Fitbit Charge 3 fitness trackers 24 h a day for 13 months. Minute-by-minute movement behaviour data were aggregated into daily totals. Multi-level mixed-effects linear regressions were used to compare movement behaviours during and post-vacation (4 weeks) to pre-vacation levels (14 days), and to examine the associations with vacation type and duration. RESULTS: Participants took an average of 2.6 (SD = 1.7) vacations of 12 (SD = 14) days' (N = 9778 days) duration. The most common vacation type was outdoor recreation (35%) followed by family/social events (31%), rest (17%) and non-leisure (17%). Daily sleep, LPA and MVPA all increased (+ 21 min [95% CI = 19,24] p < 0.001, + 3 min [95% CI = 0.4,5] p < 0.02, and + 5 min [95% CI = 3,6] p < 0.001 respectively) and sedentary behaviour decreased (-29 min [95% CI = -32,-25] p < 0.001) during vacation. Post-vacation, sleep remained elevated for two weeks; MVPA returned to pre-vacation levels; and LPA and sedentary behaviour over-corrected, with LPA significantly lower for 4 weeks, and sedentary behaviour significantly higher for one week. The largest changes were seen for "rest" and "outdoor" vacations. The magnitude of changes was smallest for short vacations (< 3 days). CONCLUSIONS: Vacations are associated with favourable changes in daily movement behaviours. These data provide preliminary evidence of the health benefits of vacations. TRIAL REGISTRATION: The study was prospectively registered on the Australian New Zealand Clinical Trial Registry (Trial ID: ACTRN12619001430123).

Weather associations with physical activity, sedentary behaviour and sleep patterns of Australian adults: a longitudinal study with implications for climate change.

BACKGROUND: Weather is a potentially important influence on how time is allocated to sleep, sedentary behaviour and physical activity across the 24-h day. Extremes of weather (very hot, cold, windy or wet) can create undesirable, unsafe outdoor environments for exercise or active transport, impact the comfort of sleeping environments, and increase time indoors. This 13-month prospective cohort study explored associations between weather and 24-h movement behaviour patterns. METHODS: Three hundred sixty-eight adults (mean age 40.2 years, SD 5.9, 56.8% female) from Adelaide, Australia, wore Fitbit Charge 3 activity trackers 24 h a day for 13 months with minute-by-minute data on sleep, sedentary behaviour, light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) collected remotely. Daily weather data included temperature, rainfall, wind, cloud and sunshine. Multi-level mixed-effects linear regression analyses (one model per outcome) were used. RESULTS: Ninety thousand eight hundred one days of data were analysed. Sleep was negatively associated with minimum temperature (-12 min/day change across minimum temperature range of 31.2 °C, p = 0.001). Sedentary behaviour was positively associated with minimum temperature (+ 12 min/day, range = 31.2 oC, p = 0.006) and wind speed (+ 10 min/day, range = 36.7 km/h, p< 0.001), and negatively associated with sunshine (-17 min/day, range = 13.9 h, p < 0.001). LPA was positively associated with minimum temperature (+ 11 min/day, range = 31.2 °C, p = 0.002), cloud cover (+ 4 min/day, range = 8 eighths, p = 0.008) and sunshine (+ 17 min/day, range = 13.9 h, p < 0.001), and negatively associated with wind speed (-8 min/day, range = 36.7 km/h, p < 0.001). MVPA was positively associated with sunshine (+ 3 min/day, range = 13.9 h, p < 0.001) and negatively associated with minimum temperature (-13 min/day, range = 31.2 oC, p < 0.001), rainfall (-3 min/day, range = 33.2 mm, p = 0.006) and wind speed (-4 min/day, range = 36.7 km/h, p < 0.001). For maximum temperature, a significant (p < 0.05) curvilinear association was observed with sleep (half-U) and physical activity (inverted-U), where the decrease in sleep duration appeared to slow around 23 °C, LPA peaked at 31 oC and MVPA at 27 °C. CONCLUSIONS: Generally, adults tended to be less active and more sedentary during extremes of weather and sleep less as temperatures rise. These findings have the potential to inform the timing and content of positive movement behaviour messaging and interventions. TRIAL REGISTRATION: The study was prospectively registered on the Australian New Zealand Clinical Trial Registry (Trial ID: ACTRN12619001430123).

Promoting healthy sleep in Chinese kindergarteners through a family-based intervention: protocol of the "Healthy Sleep" randomised controlled trial.

BACKGROUND: Sleep is instrumental for growth and development in children, making it critical to establish healthy sleep habits from the earliest years of life. Many kindergarteners (3-6 years) in China have inadequate and poor sleep, necessitating targeted interventions. This research protocol details the "Healthy Sleep" intervention that was designed to promote healthy sleep among kindergarteners in China. METHODS: The "Healthy Sleep" intervention will be family-based and will support parents as change agents. The development of the intervention is based on evidence regarding correlates of sleep in young children and guided by Bandura's social cognitive theory. A 12-month randomised controlled trial will be conducted to examine the efficacy of the intervention for promoting healthy sleep in Chinese kindergarteners and the intervention's effects on child development outcomes. A targeted sample of 160 kindergarteners and their parents will be recruited through social media. The intervention group (n = 80) will receive monthly webinars for one year that include multiple intervention components - including educational training, goal setting and planning, as well as follow-up support sessions. The control group (n = 80) will receive videos of the recorded educational sessions after the study end. For primary outcomes, child sleep behaviours will be examined using the Child Sleep Health Questionnaire. For secondary outcomes, communication, fine motor, gross motor, personal-social, and problem-solving development will be examined using the Ages and Stages Questionnaire; executive functions will be examined using the Head, Toes, Knees, and Shoulders Revised tasks. Potential intervention mediators and covariates will be measured using a parental questionnaire. Mixed models will be conducted. DISCUSSION: This intervention targets sleep behaviours among kindergarteners in China. It has the potential to inform programs to support parents in helping their child establish healthy sleep habits from the earliest years of life. The study will provide high-quality experimental evidence on sleep behaviours in relation to development outcomes in kindergarteners. This evidence will inform family-based strategies to optimise early childhood development and inform national and international updates of the sleep recommendations for young children. TRIAL REGISTRATION: The trial was registered prospectively at Chinese Clinical Trial Registry (ID: ChiCTR2300072105) on 2 June 2023.

Prospective associations between adherence to 24-hour movement guidelines and mental well-being in Chinese adolescents.

Most evidence regarding the relationships between adherence to 24-hour movement guidelines and adolescent mental health have been derived from cross-sectional studies or have ignored positive mental health indicators. The current prospective study examined the associations between adherence to 24-hour movement guidelines and changes in mental well-being among Chinese adolescents over three months. 816 Chinese adolescents (Mage = 14.76 years; SD = 0.81) completed baseline and follow-up scales of 24-hour movement behaviours, mental well-being, and covariates. Linear mixed-effects models were used for data analyses, with adjustments for covariates and mental well-being at baseline. There was a significant improvement in mental well-being across the three months, and the improvement in mental well-being was positively associated with meeting any single guidelines and both physical activity and sleep guidelines but not adherence to all three guidelines. Meeting both physical activity and sleep recommendations appears to exert more significant benefits on mental well-being than meeting one or two other recommendations. An integrative approach to mental health promotion by focusing on 24-hour movement behaviours (at least physical activity and sleep) may be more effective than focusing on a single behaviour alone.

Reallocation of time between preschoolers' 24-h movement behaviours and executive functions: A compositional data analysis.

The objectives of the survey were to explored the associations of the 24-h movement behaviours (MB) with executive functions (EFs) and quantified the predicted changes in EFs following allocation of time among behaviours. In the cross-sectional survey, 135 preschoolers (3 ~ 5 years) were enrolled. Physical activity (PA) and sedentary (SED) time were objectively measured employing an ActiGraph GT9X. Sleep time was reported by parents. EFs were assessed using the iPad-based Early Years Toolbox which is a collection of computerized tasks consisting of brief tasks assessed from games administered and scored according to protocol. To explore the associations of the 24-h MB with EFs, compositional multiple linear regression was employed. To quantify the predicted changes in EFs following allocation of time among behaviours, compositional isotemporal substitution was used. Moderate-to-vigorous physical activity (MVPA) was positively related to cognitive flexibility. Replacing sleep or SED with MVPA was associated with positive changes in cognitive flexibility. When MVPA was replaced with sleep or SED, the predicted detriments to cognitive flexibility were larger than predicted benefits of replacing sleep or SED with MVPA. The findings highlight the key role of intensity of PA for preschoolers' EFs and the importance of meeting recommended levels of MVPA.

Outdoor time, screen time and sleep reported across early childhood: concurrent trajectories and maternal predictors.

BACKGROUND: Understanding the developmental trajectories of outdoor time, screen time and sleep is necessary to inform early interventions that promote healthy behaviours. This study aimed to describe concurrent trajectories of outdoor time, screen time and sleep across the early childhood period and their maternal predictors. METHODS: Data across five time points at child age 4, 9, 19, 42 and 60 months from the INFANT intervention were analysed. Mothers reported their child's usual outdoor time, screen time and sleep duration, in addition to a range of maternal beliefs, attitudes, expectations and behaviours. Group-based multi-trajectory modelling was used to model concurrent trajectories of children's behaviours. Multinomial logistic regression models determined the associations of maternal predictors with trajectory groups, adjusting for child sex and baseline age, intervention allocation, and clustering by recruitment. RESULTS: Of the 542 children recruited, 528 had data for outdoor time, screen time and sleep at one or more time points and were included in trajectory analyses Four trajectories were identified: 'unstable sleep, increasing outdoor time, low screen' (~ 22% of sample), 'high outdoor time, low screen, high sleep' (~ 24%), 'high sleep, increasing outdoor time, low screen' (~ 45%), 'high screen, increasing outdoor time, high sleep' (~ 10%). The 'high sleep, increasing outdoor time, low screen' group, comprising the largest percentage of the sample, demonstrated the healthiest behaviours. Predictors of group membership included: views of physically active children, screen time knowledge, screen time use, self-efficacy, physical activity optimism, future expectations for children's physical activity and screen time, perceptions of floor play safety, and maternal physical activity, screen time, and sleep quality. CONCLUSIONS: Four distinct trajectories of outdoor time, screen time and sleep were identified, with the most common (and healthiest) characterized by high levels of sleep. Maternal beliefs, attitudes, expectations and behaviours are important in the development of movement behaviour trajectories across early childhood. Future interventions and public policy may benefit from targeting these factors to support healthy movement behaviours from a young age.

People with Stroke Are Most Sedentary in the Afternoon and Evening.

QUESTIONS: What are the daily temporal patterns of movement behaviours (sedentary time, light-intensity physical activity, and moderate-vigorous physical activity) in people with stroke? Do daily temporal patterns of sedentary time differ (a) between subgroups of people with different movement behaviour classifications and (b) over time during the first year after stroke? DESIGN: This study represents secondary exploratory analyses from an observational, longitudinal cohort study (n = 197). PARTICIPANTS: This study included people with first-ever stroke recruited from 4 hospitals in the Netherlands. OUTCOME MEASURES: Movement behaviour was objectively measured using the Activ8 activity monitor within 3 weeks after hospital discharge and again at 6 and 12 months later. RESULTS: Participants spent the least time sedentary in the morning with proportionally more sedentary time as the day progressed with maximal sedentary time seen in the evening hours. This pattern did not substantially change over time. Sedentary prolongers spent significantly more absolute time sedentary for each hour of the day, but the daily temporal pattern of sedentary time did not differ between this group and either "sedentary movers" or "sedentary exercisers." CONCLUSION: People living at home after stroke are highly sedentary, particularly in the afternoons and evenings, and this pattern does not change during the first year after stroke. Clinicians should encourage people with stroke to find meaningful tasks to do during the day to reduce their sitting time. Researchers developing interventions to encourage people to sit less should include particular focus on the afternoon and evening time periods.

The impact of new government childcare accreditation standards on children's in-care physical activity and sedentary time.

BACKGROUND: A new physical activity and sedentary behaviour accreditation standard criterion for childcare settings was introduced by the provincial government in Alberta, Canada. The primary objective of this study was to examine if changes for in-care physical activity and sedentary time (ST) differed between centres in and around Edmonton, Alberta after implementing the new accreditation standards and non-accredited control centres in and around Ottawa, Ontario. Secondary objectives were to examine whether baseline age group (toddler, preschooler) or the childcare environment moderated any group differences in change of the primary outcomes. Furthermore, accreditation and control group differences in change of children's body mass index (BMI) Z-scores or cognitive development as well as educators' perceptions of the primary outcomes were explored. METHODS: Participants were 252 toddlers (19-35 months) and preschoolers (36-60 months) in childcare centres from Alberta (n = 11) and Ontario (n = 8) in the supporting Healthy physical AcTive CHildcare setting (HATCH) study. In-care ST, light-intensity physical activity (LPA), and moderate- to vigorous-intensity physical activity (MVPA) were accelerometer-derived before and 6 months after the implementation of the new standards. At both time points, cognitive development (working memory, expressive vocabulary), heights, and weights were measured, and BMI Z-scores were calculated. Additionally, the childcare environment was observed using the Environment and Policy Assessment and Observation (EPAO) and Movement Environment Rating Scale (MOVERS) tools. Demographic characteristics were parent-reported and weather variables were derived from Environment Canada data. Mixed models were conducted. RESULTS: In adjusted models (n = 241), change in children's in-care ST (B = -0.07, 95%CI: - 1.43,1.29), LPA (B = 0.08, 95%CI: - 0.89,1.05), and log-transformed MVPA (B = 0.01, 95%CI: - 0.09,0.11) were not significantly different between accreditation and control groups. Age group and the childcare environment were not moderators. Significant increases in BMI Z-score (B = 0.19, 95%CI: 0.03,0.35) and high working memory (OR = 3.24, 95%CI: 1.32,7.97) were observed in the accreditation group and significant increases in expressive vocabulary (B = 3.18, 95%CI: 0.05,6.30) were observed in the control group. CONCLUSIONS: The new accreditation criterion may not significantly change physical activity or ST in childcare settings and therefore may not explain findings for BMI Z-scores and cognitive development. Additional training and resources may be needed.

Health associations with meeting the new Canadian 24-Hour Movement Guidelines recommendations according to body mass index classes in Canadian adults.

Background: Data on meeting the Canadian 24-Hour Movement Guidelines for adults (24-H Guidelines) and associations with health indicators by body mass index (BMI) class are needed to support public health surveillance. The aim of this study was to describe the proportion of Canadian adults meeting individual and various combinations of the 24-H Guidelines by BMI class and their association with health indicators. Data and methods: Data from the cross-sectional Canadian Health Measures Survey cycles 1 to 4 (2007 to 2015, n = 10,515 adults aged 18 to 79 years) were used. Daily time spent in moderate-to-vigorous physical activity (MVPA) and sedentary behaviour were assessed using accelerometry. Sleep duration, recreational screen time, chronic conditions, sociodemographic characteristics, and general and mental health were self-reported. The BMI, waist circumference, blood pressure and aerobic fitness were directly measured. Respondents were classified as meeting the 24-H Guidelines when: • the MVPA was 150 minutes per week or more; • sedentary time was nine hours or less per day; • recreational screen time was three hours or less per day; • sleep duration was seven to nine hours per day for individuals aged 18 to 64 years or seven to eight hours per day for individuals aged 65 years and older. Results: Significantly fewer adults with overweight (6.1%) or class I (4.3%) and class II or III (3.9%) obesity met all three 24-H Guidelines compared with those with normal weight (9.5%). Meeting all three or two recommendations of the 24-H Guidelines was generally associated with a lower waist circumference, higher aerobic physical fitness and self-perceived general health regardless of BMI class. Interpretation: Canadian adults living with overweight and obesity are less likely to meet the 24-H Guidelines. Most of the benefits associated with meeting the 24-H Guidelines are observed regardless of BMI status.

Health associations with meeting the Canadian 24-hour movement guidelines for adults: Results from the Canadian Health Measures Survey.

BACKGROUND: The Canadian 24-Hour Movement Guidelines for Adults (18-64 years and 65 years or older) were launched in October 2020 and provide evidence-based recommendations for physical activity, sedentary behaviour and sleep. The purpose of this study was to examine whether meeting the 24-Hour Movement Guidelines overall, and different combinations of recommendations within the guidelines, was associated with health indicators in a representative sample of Canadian adults. DATA AND METHODS: Participants were 8,297 adults aged 18 to 79 from cycles 1 to 3 of the Canadian Health Measures Survey. They were classified as meeting or not meeting each of the recommendations required for overall guideline adherence: moderate-to-vigorous physical activity (150 minutes or more per week), sedentary behaviour (8 hours or less per day or 9 hours or less per day of sedentary time, including 3 hours or less per day of recreational screen time) and sleep duration (7 to 9 hours per day for adults 18 to 64 years old, 7 to 8 hours per day for adults aged 65 years or older). A combination of self-reported and device-based measures were used. Indicators of adiposity (n=2), aerobic fitness (n=1) and cardiometabolic health (n=7) were measured. RESULTS: A total of 19.1% of the sample met none of the recommendations, 43.9% met one of them, 29.8% met two and 7.1% met all three. Compared with meeting no recommendations, meeting one, two and all three recommendations was associated with better health for one, six and seven health indicators, respectively (p < 0.05). Compared with adults meeting two or fewer recommendations, those who met all three recommendations had more favourable body mass index; waist circumference; aerobic fitness scores; and triglyceride, insulin, C-reactive protein and serum glucose levels (p < 0.05). INTERPRETATION: These findings provide support for the 24-Hour Movement Guidelines and show that less than 1 in 10 Canadian adults are meeting all three of the healthy movement behaviour guidelines.

Movement behaviours and health of children and youth with disabilities: Impact of the 2020 COVID-19 pandemic.

Objectives: This study examined the acute and longer-term impacts of the COVID-19 pandemic on the movement behaviours and health of children and youth with disabilities (CYD) in Canada. Methods: Eighty-six parents of CYD completed an online survey twice (May 2020 and November 2020). Interviews were completed with seven families in March 2021. Results: At both time points, <20% of CYD met the physical activity and sedentary behaviour guidelines, and >50% of CYD met the sleep guideline. No CYD met all three movement guidelines. Nearly one-quarter of CYD reported declines in health from pre-pandemic levels. Interview themes revealed that shifting of routines, unoccupied time, reduced physiotherapy opportunities, parental capacity, and the social and built environment all impacted the movement behaviours of CYD. Conclusions: Movement behaviours and health of CYD must be prioritized in COVID-19 recovery efforts through quality programming, highly trained instructors, accessible and inclusive infrastructure, and family-centred health.

A compositional analysis of time spent in sleep, sedentary behaviour and physical activity with all-cause mortality risk.

BACKGROUND: Daily time spent in sleep, sedentary behaviour (SED), light intensity physical activity (LIPA), and moderate-to-vigorous intensity physical activity (MVPA) are compositional, co-dependent variables. The objectives of this study were to use compositional data analysis to: (1) examine the relationship between the movement behaviour composition (daily time spent in sleep, SED, LIPA and MVPA) and all-cause mortality risk, and (2) estimate the extent to which changing time spent in any given movement behaviour (sleep, SED, LIPA, or MVPA) within the movement behaviour composition was associated with changes in risk of all-cause mortality. METHODS: 2838 adult participants from the 2005-2006 cycle of the U.S. National Health and Nutrition Examination Survey were studied using a prospective cohort design. Daily time spent in SED, LIPA and MVPA were determined by accelerometer. Nightly time spent sleeping was self-reported. Survey data were linked with mortality data through to the end of December 2015. Compositional data analysis was used to investigate relationships between the movement behaviour composition and mortality. RESULTS: The movement behaviour composition was significantly associated with mortality risk. Time spent in MVPA relative to other movement behaviours was negatively associated with mortality risk (HR = .74; 95% CI [.67, .83]) while relative time spent in SED was positively associated with mortality risk (HR = 1.75; 95% CI [1.10, 2.79]). Time displacement estimates revealed that the greatest estimated changes in mortality risk occurred when time spent in MVPA was decreased and replaced with sleep, SED, LIPA or a combination of these behaviours (HRs of 1.76 to 1.80 for 15 min/day displacements). CONCLUSIONS: The daily movement behaviour composition was related to mortality. Replacing time in MVPA or SED with equivalent time from any other movement behaviour was associated with an increase and decrease in mortality risk, respectively.

Changes in physical activity and sleep habits among adults in Russian Federation during COVID-19: a cross-sectional study.

BACKGROUND: The aim of this study was to evaluate the impact of COVID-19 on the levels of physical activity (PA) and sleep and to examine specific COVID-19 factors that may be associated with changes in PA and sleep among adults in Russia. METHODS: Cross-sectional data were collected during the period of tightest restrictions between 26 April 2020 and 6 June 2020. Eligible participants included all Russian adults aged 18 years and over. Participants reported their sleep patterns and problems, frequency and duration of walking, moderate- and vigorous-intensity PA, and muscle strengthening activities before COVID-19 and during the past 7 days. Access to an outdoor green space and fitness centres, use of online resources, adherence to self-isolation recommendations and other preventive measures from Ministry of Health were self-reported. RESULTS: The sample included 2432 participants from 62 regions, 83% of who were female. There was a significant decline in the number of days per week participants reported not getting enough sleep (3.21 ± 2.44 to 2.86 ± 2.57; P < 0.001); participants also reported an increase in the number of days per week they had trouble falling asleep (1.70 ± 2.24 to 2.13 ± 2.48; P < 0.001). The proportion of participants who met the WHO Guidelines for PA declined from 68 to 49% (P < 0.001). The proportion who participated in muscle strengthening activities for 2 or more days per week declined from 53 to 45% (P < 0.001). CONCLUSION: Compared with before COVID-19, PA and sleep hygiene were adversely affected during COVID-19. Awareness of factors associated with these declines will assit policymakers in developing strategies to mitigate the negative lifestyle behaviours that have manifested during the COVID-19 confinement.