Moderate-to-vigorous Physical Activity Time Research Articles

Time- vs Step-Based Physical Activity Metrics for Health

Current US physical activity (PA) guidelines prescribe moderate to vigorous PA (MVPA) time of at least 150 minutes per week for health. An analogous step-based recommendation has not been issued due to insufficient evidence. To examine the associations of MVPA time and step counts with all-cause mortality and cardiovascular disease (CVD). This cohort study analyzed data from an ongoing follow-up study of surviving participants of the Women's Health Study, a randomized clinical trial conducted from 1992 to 2004 in the US to evaluate use of low-dose aspirin and vitamin E for preventing cancer and CVD. Participants were 62 years or older who were free from CVD and cancer, completed annual questionnaires, and agreed to measure their PA with an accelerometer as part of a 2011-2015 ancillary study. Participants were followed up through December 31, 2022. Time spent in MVPA and step counts, measured with an accelerometer for 7 consecutive days. The associations of MVPA time and step counts with all-cause mortality and CVD (composite of myocardial infarction, stroke, and CVD mortality) adjusted for confounders. Cox proportional hazards regression models, restricted mean survival time differences, and area under the receiver operating characteristic curve (AUC) were used to evaluate the associations. A total of 14 399 women (mean [SD] age, 71.8 [5.6] years) were included. The median (IQR) MVPA time and step counts were 62 (20-149) minutes per week and 5183 (3691-7001) steps per day, respectively. During a median (IQR) follow-up of 9.0 (8.0-9.9) years, the hazard ratios (HR) per SD for all-cause mortality were 0.82 (95% CI, 0.75-0.90) for MVPA time and 0.74 (95% CI, 0.69-0.80) for step counts. Greater MVPA time and step counts (top 3 quartiles vs bottom quartile) were associated with a longer period free from death: 2.22 (95% CI, 1.58-2.85) months and 2.36 (95% CI, 1.73-2.99) months at 9 years follow-up, respectively. The AUCs for all-cause mortality from MVPA time and step counts were similar: 0.55 (95% CI, 0.52-0.57) for both metrics. Similar associations of these 2 metrics with CVD were observed. Results of this study suggest that among females 62 years or older, MVPA time and step counts were qualitatively similar in their associations with all-cause mortality and CVD. Step count-based goals should be considered for future guidelines along with time-based goals, allowing for the accommodation of personal preferences.

Recent Cannabis Use and Accelerometer-Measured Physical Activity and Sedentary Behavior Among Young-to-Midlife Adults: An Analysis of the National Health and Nutrition Examination Survey from 2011 to 2014.

Introduction: Cannabis use has been associated with reduced physical activity and increased sedentary behavior in adolescents. In adults, however, there is no conclusive evidence of such an association, and existing studies have primarily relied on self-reported activity measures. As cannabis use increases globally, a deeper understanding of its relationship with activity levels may inform clinical counseling and guidelines. This study investigated the association between recent cannabis use and accelerometer-measured activity. Methods: Data were obtained from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2014. We included adults in the United States who responded to a cannabis questionnaire and had at least 4 days of activity data from an ActiGraph GT3X+ accelerometer, which comprised participants from 18 to 59 years. The primary exposure was any self-reported cannabis use in the past 30 days. The primary outcome was daily sedentary time and secondary outcomes were daily light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA). Analyses were performed with multivariable quasi-Poisson regression models. Results: Of 4666 included adults, 658 (14.1%) reported recent cannabis use. After covariate adjustment, recent cannabis use was not associated with daily sedentary time (adjusted incidence rate ratio [aIRR] 0.99, 95% confidence interval [CI]: 0.98-1.01) or daily MVPA time (aIRR 1.01, 95% CI: 0.98-1.04). Daily LPA time was 4% greater with recent cannabis use (aIRR 1.04, 95% CI: 1.01-1.06). Conclusion: Recent cannabis use in young to midlife adults was not associated with accelerometer-measured sedentary or MVPA time, but it was associated with a marginal increase in LPA time of unclear clinical significance. Our findings provide evidence against existing concerns that cannabis use independently promotes sedentary behavior and decreases physical activity. Future prospective studies are needed to determine if these findings generalize to specific populations using cannabis including chronic pain patients.

The role of fundamental movement skills on children’s physical activity during different segments of the school day

BackgroundAlthough prior studies have demonstrated that children with high levels of fundamental movement skill (FMS) are more active throughout the day, little is known about children’s FMS and their physical activity (PA) during different segments of the school day (e.g., recess, lunch break, and physical education). The present study focused on FMS and moderate-to-vigorous PA (MVPA) during school day and identifies the association between children’s FMS and MVPA during different segments of the school day in China.MethodsA total of 322 children (boys n = 163, girls n = 159; Mage = 8.12, SD = 1.22 years) from four elementary schools involved in this study. Children’s FMS and MVPA were measured using the Test of Gross Motor Development-2nd edition (TGMD-2) and hip-mounted accelerometers. Data such as height, weight, and socio-economic status (SES) were also obtained. Multilevel mixed regression models were used to examine the cross-sectional associations between FMS and MVPA. Models were adjusted for gender, age, standardized body mass index, and SES.ResultsChildren engaged in 32.19 min of MVPA during the whole school day. Boys were more active than girls and had higher object-control skills competency. Locomotor skills were positively associated with children’s long recess (B = 1.063) and short recess time (B = 1.502) MVPA. Object-control skills were positively correlated with children’s MVPA time during long recess (B = 1.244) and physical education (PE) lessons (B = 1.171).ConclusionThe findings highlight the importance of developing both locomotor and object-control skills in elementary schools to lead more MVPA engagement during different segments of the school day.

Association of Moderate-to-Vigorous Physical Activity, Sedentary Time, Fat Percentage, and Physical Fitness with Gait Parameters in Women with Fibromyalgia: The Al-Ándalus Project.

Gait impairments have been found in women with fibromyalgia, reducing the physical activity possibilities in this population and leading to a negative correlation with fibromyalgia impact. The aim of this study was to analyze the individual and independent associations of moderate-to-vigorous physical activity (MVPA), sedentary time, fat percentage, and physical fitness with gait parameters in women with fibromyalgia. A total of 84 women with fibromyalgia were included. MVPA and sedentary time were assessed with accelerometry, fat percentage with bioimpedance analysis, and physical fitness with field-based fitness tests. Gait was assessed during a "6 min walk test" and categorized in velocity, cadence, step length, step cycle duration, unipedal stance phase, and bipedal stance phase. Individual relationships were analyzed by partial correlations and independent relationships by linear regressions, adjusting by age and height. MVPA, sedentary time, fat percentage, and physical fitness were correlated with most gait parameters (rpartial between |0.842| and |0.219|; p ≤ 0.05). Physical fitness was independently associated with all gait parameters (β between |0.346| and |0.761|; p ≤ 0.002). In addition, MVPA was independently associated with velocity and step length (β = 0.241 and 0.292; both p = 0.004), and fat percentage was associated with bipedal stance phase (β = 0.242; p = 0.049). Good levels of MVPA, physical fitness, and adequate weight balance are associated with improved gait parameters in women with fibromyalgia.

310 Digital Physical Activity Phenotype before Cerebrovascular Disease: A Retrospective Study of Accelerometer-Measured Behavior in UK Biobank Observational Cohort

OBJECTIVES/GOALS: To investigate digital behavior patterns before cerebrovascular disease (CeVD), we compared accelerometer-measured physical activity (PA) phenotypes of future CeVD patients versus controls in UK Biobank. METHODS/STUDY POPULATION: Accelerometer data from 76,525 eligible participants monitored for 7-days (Jan. 2013-Dec. 2015) was classified into four categories: sedentary, light PA (LPA), moderate-to-vigorous PA (MVPA), and sleep. Covariables and diagnoses were defined using baseline data and patient records. Daily PA patterns associated with incident CeVD were compared to controls using negative binomial regression models. RESULTS/ANTICIPATED RESULTS: Adult participants with future CeVD (n = 2,163) spent 4.4% less time in MVPA (Incident Rate-Ratio (IRR) 0.956; 95% CI = 0.923-0.992; p = 0.016) compared to controls. During 0:00-5:59h (midnight to 5:59AM), future CeVD patients were less likely to sleep (IRR = 0.985; 95% CI = 0.977-0.992; p <0.001) but more likely to be sedentary (IRR = 1.189; 95% CI = 1.098-1.290; p <0.001) or in LPA (IRR = 1.108; 95% CI = 1.015-1.211; p <0.001). In subgroup analyses, decreased MVPA was observed in current/former smokers (IRR = 0.887; 95% CI = 0.819-0.963), males (IRR = 0.931; 95% CI = 0.870-0.997), and the unemployed/retired (IRR = 0.923; 95% CI = 0.856-0.998), an effect more pronounced in depressed patients (p for interaction = 0.044) and prolonged (> 2 hr/day) screen users (p for interaction = 0.018). DISCUSSION/SIGNIFICANCE: The digital phenotype of PA prior to CeVD is characterized by less sleep during 0:00-5:59h and less daily MVPA, demonstrating the utility of accelerometer data in identifying candidates for preventative intervention.

Impacts of physical activity, sedentary behaviour, and sleep on depression symptoms in Canadian older adults 65 years of age and above: a compositional data analysis of the Canadian Longitudinal Study on Aging

BackgroundDaily time spent in moderate-to-vigorous physical activity (MVPA), light-intensity physical activity (LIPA), sedentary behaviour (SB) and sleep (collectively known as ‘movement behaviours’) are compositional, co-dependent variables. However, most studies examining effects of these behaviours on depression outcomes in older adults do not account for this. Study objectives were to use compositional data analysis methods to (1) examine the relationship between movement behaviour composition (daily time spent in MVPA, LIPA, SB, sleep) and depression symptoms, (2) estimate the extent to which changing time spent in any given movement behaviour within the movement behaviour composition was associated with changes in depression symptoms.Methods5643 older Canadian adults ≥ 65 years of age from the Canadian Longitudinal Study on Aging were studied using a quasi-longitudinal study design. Exposure was baseline daily movement behaviours; time spent in MVPA, LIPA and SB were derived from self-reported Physical Activity Scale for the Elderly responses. Night-time sleep was self-reported separately. Outcome was depression symptoms at follow-up obtained using the ten item Center for Epidemiologic Studies Depression Scale. Compositional data analysis was used to investigate associations between movement behaviours and depression symptoms.ResultsMovement behaviour composition was significantly associated with depression symptoms. Time spent in MVPA [exp(B) = 0.97 (95% CI: 0.94, 0.99)] and sleep [exp(B) = 0.91 (95% CI: 0.85, 0.97)] relative to the remaining movement behaviours were associated with lower depression symptoms scores. Relative time spent in SB was associated with higher depression symptoms scores [exp(B) = 1.09 (95% CI: 1.04, 1.15)]. Time displacement estimates revealed that the greatest change in depression symptoms scores occurred when time spent in MVPA was decreased and replaced with LIPA, SB, sleep or combination of these behaviours (+ 0.22 to 0.26 points increase on depression symptoms scores for 30 min/day displacements).ConclusionsDaily movement behaviour composition was associated with depression symptoms in older Canadians. Replacing time in MVPA with equivalent time from any other behaviour was associated with increased depression symptoms. Preserving time spent in MVPA may play a key role in mitigating and improving mental health in this demographic.

Cross-sectional associations between 24-hour time-use composition, grey matter volume and cognitive function in healthy older adults

BackgroundIncreasing physical activity (PA) is an effective strategy to slow reductions in cortical volume and maintain cognitive function in older adulthood. However, PA does not exist in isolation, but coexists with sleep and sedentary behaviour to make up the 24-hour day. We investigated how the balance of all three behaviours (24-hour time-use composition) is associated with grey matter volume in healthy older adults, and whether grey matter volume influences the relationship between 24-hour time-use composition and cognitive function.MethodsThis cross-sectional study included 378 older adults (65.6 ± 3.0 years old, 123 male) from the ACTIVate study across two Australian sites (Adelaide and Newcastle). Time-use composition was captured using 7-day accelerometry, and T1-weighted magnetic resonance imaging was used to measure grey matter volume both globally and across regions of interest (ROI: frontal lobe, temporal lobe, hippocampi, and lateral ventricles). Pairwise correlations were used to explore univariate associations between time-use variables, grey matter volumes and cognitive outcomes. Compositional data analysis linear regression models were used to quantify associations between ROI volumes and time-use composition, and explore potential associations between the interaction between ROI volumes and time-use composition with cognitive outcomes.ResultsAfter adjusting for covariates (age, sex, education), there were no significant associations between time-use composition and any volumetric outcomes. There were significant interactions between time-use composition and frontal lobe volume for long-term memory (p = 0.018) and executive function (p = 0.018), and between time-use composition and total grey matter volume for executive function (p = 0.028). Spending more time in moderate-vigorous PA was associated with better long-term memory scores, but only for those with smaller frontal lobe volume (below the sample mean). Conversely, spending more time in sleep and less time in sedentary behaviour was associated with better executive function in those with smaller total grey matter volume.ConclusionsAlthough 24-hour time use was not associated with total or regional grey matter independently, total grey matter and frontal lobe grey matter volume moderated the relationship between time-use composition and several cognitive outcomes. Future studies should investigate these relationships longitudinally to assess whether changes in time-use composition correspond to changes in grey matter volume and cognition.

Short-term effects of air pollution and weather on physical activity in patients with chronic obstructive pulmonary disease (COPD)

IntroductionPatients with chronic obstructive pulmonary disease (COPD) accumulate low levels of physical activity. How environmental factors affect their physical activity in the short-term is uncertain. Aim: to assess the short-term effects of air pollution and weather on physical activity levels in COPD patients. MethodsThis multi-center panel study assessed 408 COPD patients from Catalonia (Spain). Daily physical activity (i.e., steps, time in moderate-to-vigorous physical activity (MVPA), locomotion intensity, and sedentary time) was recorded in two 7-day periods, one year apart, using the Dynaport MoveMonitor. Air pollution (nitrogen dioxide (NO2), particulate matter below 10 μm (PM10) and a marker of black carbon (absorbance of PM2.5: PM2.5ABS), and weather (average and maximum temperature, and rainfall) were estimated the same day (lag zero) and up to 5 days prior to each assessment (lags 1–5). Mixed-effect distributed lag linear regression models were adjusted for age, sex, weekday, public holidays, greenness, season, and social class, with patient and city as random effects. ResultsPatients (85% male) were on average (mean ± SD) 68 ± 9 years old with a post-bronchodilator forced expiratory volume in 1 s (FEV1) of 57 ± 18% predicted. Higher NO2, PM10 and PM2.5ABS levels at lag four were associated with fewer steps, less time in MVPA, reduced locomotion intensity, and longer sedentary time (e.g., coefficient (95% CI) of −60 (−105, −15) steps per 10 μg/m3 increase in NO2). Higher average and maximum temperatures at lag zero were related to more steps and time in MVPA, and less sedentary time (e.g., +85 (15, 154) steps per degree Celsius). Higher rainfall at lag zero was related to fewer steps and more sedentary time. ConclusionAir pollution affects the amount and intensity of physical activity performed on the following days in COPD patients, whereas weather affects the amount of physical activity performed on the same day.

The relationship between primary-school childrens’ moderate to vigorous physical activity, cell phone screen time, and cell phone dependence

We explored the relationship between moderate to vigorous physical activity (MVPA), cell phone screen time (CPST) and cell phone dependence with 715 children at primary schools in China. The students completed the Children’s Leisure Activities Study Survey-Chinese edition, the Mobile Phone Usage Frequency Scale, and the Self-Assessment Questionnaire on Adolescent Mobile Phone Use Dependence. The results showed that there was a significant negative correlation between the children’s mean daily MVPA time and cell phone dependence, cravings, and physical and mental effects; those children who did not meet the World Health Organization???s recommended MVPA levels had stronger cravings for cell phones. In addition, there was a low to moderate positive correlation between CPST and cell phone dependence. It is recommended that primary school students participate in more MVPA and reduce their CPST to reduce the cravings for cell phones and the negative physical and mental effects of cell phone use.

Isotemporal substitution analysis of time between sleep, sedentary behavior, and physical activity on depressive symptoms in older adults: a cross-sectional study.

Compared to young individuals, older adults participate more in sedentary behavior (SB) and less in physical activity (PA). These behaviors are associated with numerous adverse health factors. The purpose of the study was to examine the hypothetical effects of substituting time spent sleeping, performing SB, and performing moderate-to-vigorous physical activity (MVPA) on depressive symptomatology in older adults. An analytical cross-sectional study employing exploratory survey methods was conducted in the city of Alcobaça in the state of Bahia, Brazil. The study included 473 older adults who answered a structured questionnaire during an interview. Exposure time to SB and PA level were assessed using the International Physical Activity Questionnaire, and depressive symptoms were analyzed using the short version of the Geriatric Depression Scale. An isotemporal replacement model was used to evaluate the effects of different SB sessions on depressive symptomatology. An increase in the risk of depressive symptoms was observed when MVPA and sleep time were substituted for the same SB time at all times tested, with maximum values of 40% and 20%, respectively. Opposite substitution of MVPA and sleep time increments reduced the risk of depressive symptomatology by 28% and 17%, respectively. The results of the present study indicate that replacing SB with the same amount of sleep or MVPA may reduce depressive symptoms. The longer the reallocation time, the greater are the benefits.

Comparative effectiveness of interventions on promoting physical activity in older adults: A systematic review and network meta-analysis.

Despite the well-established health benefits of physical activity, a large population of older adults still maintain sedentary life style or physical inactivity. This network meta-analysis (NMA) aimed to compare the effectiveness of wearable activity tracker-based intervention (WAT), electronic and mobile health intervention (E&MH), structured exercise program intervention (SEP), financial incentive intervention (FI) on promoting physical activity and reducing sedentary time in older adults. The systematic review based on PRISMA guidelines, a systematic literature search of PubMed, Web of Science, Google Scholar, EMbase, Cochrane Library, Scopus were searched from inception to December 10th 2022. The randomized controlled trials (RCT) were included. Two reviewers independently conducted study selection, data extraction, risk of bias and certainty of evidence assessment. The effect measures were standard mean differences (SMD) and 95% confidence interval (CI) in daily steps, moderate-to-vigorous physical activity (MVPA) and sedentary time. A total of 69 studies with 14,120 participants were included in the NMA. Among these included studies, the results of daily steps, MVPA and sedentary time was reported by 55, 25 and 15 studies, respectively. The NMA consistency model analysis suggested that the following interventions had the highest probability (surface under the cumulative ranking, SUCRA) of being the best when compared with control: FI + WAT for daily steps (SUCRA = 96.6%; SMD = 1.32, 95% CI:0.77, 1.86), WAT + E&MH + SEP for MVPA (SUCRA = 91.2%; SMD = 0.94, 95% CI: 0.36, 1.52) and WAT + E&MH + SEP for sedentary time (SUCRA = 80.3%; SMD = -0.50, 95% CI: -0.87, -0.14). The quality of the evidences of daily steps, MVPA and sedentary time was evaluated by very low, very low and low, respectively. In this NMA, there's low quality evidence that financial incentive combined with wearable activity tracker is the most effective intervention for increasing daily steps of older adults, wearable activity tracker combined with electronic and mobile health and structured exercise program is the most effective intervention to help older adults to increase MVPA and reduce sedentary time.

CHANGES IN PHYSICAL ACTIVITY, SEDENTARY TIME, AND SELF-RATED HEALTH ACROSS THE RETIREMENT TRANSITION

Abstract The aim was to investigate concurrent changes in accelerometer-measured total physical activity (TPA), moderate-to-vigorous physical activity (MVPA) and sedentary time, and changes in self-rated health across the retirement transition. Data from two longitudinal studies was pooled: the Swedish Retirement Study (SRS) and the Finnish Retirement and Aging (FIREA) study that used similar methods. Data from three waves (each approximately 12 months apart) was included: one pre-retirement (wave 1, W-1) and two post-retirement follow-ups (W-2 and W-3). In total, 245 participants (27% men, mean age 64 years at W-1) were included. Thigh-worn accelerometers were used to collect data for TPA, MVPA and sedentary time at W-1 and W-2 and processed through ActiPASS and harmonized for time spent in different physical activity intensities. To be included in the analyses, a minimum of 4 days with at least 10 hours of accelerometer wear time during waking hours at both W-1 and W-2 was required. Questionnaires were used to collect data for self-rated health at W-1, W-2, and W-3. Ordinal regression models showed that 10 more minutes of MVPA at W-1 was significantly associated with higher odds of reporting better self-rated health at W-1 (OR: 1.12 [1.02-1.22]) in non-manual workers only. The association between MVPA and self-rated health was non-significant in the fully adjusted models. No significant associations were observed between changes in TPA, MVPA or sedentary time during retirement transition, and self-rated health at post-retirement follow-ups. In conclusion, this study showed a significant cross-sectional association between MVPA and better self-rated health before retirement.

The temporal relationship between physical activity, mood, and sleep in older adults via a lead‐lag analysis

AbstractBackgroundPhysical Activity, sleep, and mood are key modifiable lifestyle behaviours that are individually associated with lower cognitive decline [1]. Prior research suggests there may be a tridirectionally relationship among these three behaviours. The temporal relationship among these behaviours is unknown. Using an Ecological Momentary Assessment (ECA) and a time series analysis we aim to understand the temporal and longitudinal relationship among these factors.MethodWe performed a 10‐day lead‐lag analysis using Moderate‐to‐Vigorous Physical Activity (MVPA) and sleep as measured by a 24‐hour wrist‐worn accelerometer, and a self‐assessed daily mood scale on 30 community dwelling older adults who participated in a behavioural study to enhance physical activity in sedentary individuals (Clinicaltrials.gov identifier: NCT04315363). Participants were included if they did not exercise more than 150 minutes of MVPA per week (International Physical Activity Questionnaire) and were sitting more than 8 hours per day (Marshall Sitting Questionnaire). We examine each variable separately for auto‐correlative relationships for different timepoints of the same variable. The temporal dynamics are calculated from the rank‐order of the lead‐lag coefficients. The relationships between different timepoints of mood, MVPA, and sleep are examined through cross‐correlations.ResultsAutocorrelations showed that mood presented seasonality with baseline mood positively correlated to the subsequent day’s mood (r = +.571, p = .037) and negatively correlated with mood at day 7 (r = ‐.330, p = 0.27) and day 8 (r = ‐.248, p = .013). The temporal dynamics identified mood (B = +.602), preceding MVPA time (B = ‐.001), and sleep time (B = ‐.276) (Figure 1). Furthermore, cross‐correlations demonstrated that mood was positively correlated to MVPA at the same time point (r = ‐.605) and also that previous day mood predicted next day’s MVPA (r = ‐.629). Cross‐correlations confirmed that MVPA (r = ‐.507) and mood (r = ‐.504) predicted next day’s sleep time.ConclusionImproved mood precedes the increase in MVPA and sleep time in sedentary older adults. Understanding temporal dynamics between mood, sleep time, and MVPA, can help develop better interventions targeting increase in physical activity in older adults. Reference:[1] 2020 Report of the Lancet Commission. https://doi.org/10.1016/S0140‐6736(20)30367‐6.

Association of accelerometer-measured physical activity intensity, sedentary time, and exercise time with incident Parkinson’s disease

Evidence regarding the association between physical activity and Parkinson’s disease (PD) risk is generally limited due to the use of self-report questionnaires. We aimed to quantify the separate and combined effects of accelerometer-measured light physical activity (LPA), moderate-to-vigorous physical activity (MVPA), sedentary time and exercise timing with incident PD. 96,422 participants without prior PD and with usable accelerometer data were included from UK Biobank. Time spent in sedentary activity, LPA, MVPA, and exercise timing were estimated using machine learning models. The study outcome was incident PD. Over a median follow-up duration of 6.8 years, 313 participants developed PD. There was a L-shaped association for LPA and MVPA, and a reversed L-shaped association for sedentary time, with the risk of incident PD (all P for nonlinearity < 0.001). Similar trends were found across three time-windows (morning, midday-afternoon, and evening). Compared with those with both low LPA (<3.89 h/day) and low MVPA (<0.27 h/day), the adjusted HR (95% CI) of PD risk was 0.49 (0.36–0.66), 0.19 (0.36–0.66) and 0.13 (0.09–0.18), respectively, for participants with high MVPA only, high LPA only, and both high LPA and high MVPA. Moreover, participants with both low LPA and high sedentary time (≥9.41 h/day) (adjusted HR, 5.59; 95% CI: 4.10–7.61), and those with both low MVPA and high sedentary time (adjusted HR, 3.93; 95% CI: 2.82–5.49) had the highest risk of incident PD. In conclusion, regardless of exercise timing (morning, midday-afternoon, and evening), there was an inverse association for accelerometer-measured MVPA and LPA, and a positive association for sedentary time, with incident PD.

Comparison of children's physical activity profiles before and after COVID-19 lockdowns: A latent profile analysis.

Physical activity is important for children's health, but moderate to vigorous physical activity (MVPA) declines with age. COVID-19 lockdowns resulted in reduced MVPA and increased sedentary time among children. Characterising children's activity patterns may help identify groups who are most likely to be inactive post-lockdown. Data were combined from a pre-COVID-19 cohort study on children aged 5-6 years (Year1: n = 1299), 8-9 years (Year4: n = 1223) and 10-11 years (Year6: n = 1296) and cross-sectional post-lockdown data from a natural experiment on 10-11-year-olds in 2021 (Year6-W1: n = 393) and 2022 (Year6-W2: n = 436). The proportions of time spent in MVPA, light physical activity (LPA) and sedentary time on weekdays and weekends were derived from accelerometer data. Latent class analysis was used to identify activity profiles pre and post-lockdown, and estimate pre-COVID-19 transitions between Year4 and Year6. We identified six pre-COVID-19 activity profiles in Year6, including a new profile characterised by very low MVPA and high sedentary time (19% of children). There was substantial movement between profiles at Year4 and Year6, with 45% moving to a profile with lower MVPA. Likelihood ratio tests suggested differences in Year6 activity profiles pre and post-lockdown, with a new post-lockdown profile emerging characterised by higher LPA. The percentage of children in the least active profiles (where under 20% meet UK physical activity guidelines), rose post-lockdown, from 34% pre-COVID-19 to 50% in 2021 and 40% in 2022. We also saw gender and socioeconomic gaps widen, and increased separation between high and low physical activity levels. Children's physical activity has changed post-COVID-19, in terms of who is being active and how. The impact varies by activity profile, which is influenced by gender and socio-economic position. A greater understanding of these differences and targeting of low active groups is needed to increase both individual and population levels of physical activity.

DURATION, INTENSITY, AND CONTENT OF PHYSICAL EDUCATION CLASSES IN A REPRESENTATIVE SAMPLE OF CHILDREN ATTENDING 5TH AND 6TH GRADES OF PRIMARY EDUCATION

Physical Education (PE) is an educational process that develops the knowledge, skills, attitudes, and well-being of children, through games, sports, exercises, etc. The study aimed to evaluate the parameters of physical activity (PA) during PE class and to investigate the content, time, and intensity of children who participated in PE class, by gender and obesity status. PA and PE items were assessed by a self-administrated PA checklist, proper for children. A representative sample of Greek boys and girls aged 10 to 12 years (N=3195) participated in the study. Boys incorporated higher levels of moderate to vigorous PA (MVPA) (62 ± 45 min/d) than girls (27 ± 33 min/d, p&amp;lt;0.05). Students, who participated in PE classes, presented increased total PA (139 ± 2 vs. 116 ± 51 min/d, p&amp;lt;0.05) and MVPA (62 ± 38 vs. 40 ± 32 min/d, p&amp;lt;0.05), and a higher percentage of them met (77 vs. 66%, p&amp;lt;0.05) the recommended PA levels than those who didn't participate. Among participants in PE classes, boys reported higher time of MVPA than girls (19.4 ± 23.9 vs. 10.3 ± 17.7 min/d, p&amp;lt;0.05), while girls had more time in light PA as compared to boys (15.1 ± 18.1 vs. 20.5 ± 21.3 min/d, p&amp;lt;0.05). There were no significant differences between normal-weight and overweight/obese participants in PE classes neither in PA sub-components (total PA, LPA, and MVPA) nor in sports/games did they participate. PE classes play a significant role in students' levels of PA, especially for overweight/obese children.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/soc/0012/a.php" alt="Hit counter" /&gt;&lt;/p&gt;

Physical Activity, Inactivity and Sleep in Individuals with Hypertrophic Cardiomyopathy.

Physical activity presents an important cornerstone in the management and care of individuals with hypertrophic cardiomyopathy (HCM). Twenty-one individuals with HCM (age: 52±15 years old, body mass index (BMI): 30±7 kg/m2) completed 7-day monitoring using wrist-worn triaxial accelerometers (GENEActiv, ActivInsights Ltd, UK) and were compared to age and sex-matched healthy controls (age: 51±14 years old, BMI: 25±4 kg/m2). For individuals with HCM, clinical parameters (left atrial diameter and volume, peak oxygen consumption, NTproBNP and Minnesota Living with Heart Failure (MLHF)) were correlated with accelerometry. After adjusting for BMI, individuals with HCM spent less time in moderate-vigorous physical activity (MVPA) (86 (55-138) vs. 140 (121-149) minutes/day, p<0.05) compared to healthy controls. Individuals with HCM engaged in fewer MVPA-5 min (6 (2-15) vs. 27 (23-37) minutes/day, p<0.01) and MVPA-10 min bouts (9 (0-19) vs. 35 (17-54) minutes/day, p<0.01) versus healthy controls. For HCM only, peak oxygen consumption was correlated with MVPA (r=0.60, p<0.01) and MVPA-5 min bouts (r=0.47, p<0.05). MLHF score was correlated with sleep duration (r=0.45, p<0.05). Individuals with HCM should be encouraged to engage in moderate-intensity physical activity bouts and reduce prolonged periods of inactivity in order to potentially improve exercise tolerance and reduce disease burden.

The association of moderate-to-vigorous physical activity and sedentary behaviour with abdominal aortic calcification

Background and aimsThe increasing prevalence of metabolic and cardiovascular diseases poses a significant challenge to global healthcare systems. Regular physical activity (PA) is recognized for its positive impact on cardiovascular risk factors. This study aimed to investigate the relationship between moderate-to-vigorous physical activity (MVPA), sedentary behavior (SB), and abdominal aortic calcification (AAC) using data from the National Health and Nutrition Examination Survey (NHANES).MethodsThe study used data from NHANES participants aged 40 and above during the 2013–2014 cycle. AAC scores were assessed using the Kauppila scoring system, and MVPA and SB were self-reported. Sociodemographic variables were considered, and multivariable linear regression models were used to analyze associations between MVPA, SB, and AAC scores. Subgroup analyses were conducted based on age, sex, BMI, hypertension, and diabetes.ResultsThe study included 2843 participants. AAC prevalence was higher in older age groups, smokers, and those with diabetes or hypertension. Lower socioeconomic status was associated with higher AAC prevalence. Individuals engaged in any level of MVPA exhibited lower AAC rates compared to inactive individuals. Not engaging in occupational MVPA (β = 0.46, 95% confidence interval = 0.24‒0.67, p < .001) and prolonged SB (β = 0.28, 95% confidence interval = 0.04‒0.52, p = .023) were associated with higher AAC scores. However, no significant associations were found for transportation and leisure time MVPA. Subgroup analysis revealed age and hypertension as effect modifiers in the MVPA-AAC relationship.ConclusionsThis study highlights the potential benefits of engaging in occupational MVPA and reducing SB in mitigating AAC scores, particularly among older individuals and those with hypertension.

Physical Activity Associates with T1rho MRI of Femoral Cartilage After Anterior Cruciate Ligament Reconstruction.

Less physical activity has been associated with systemic biomarkers of cartilage breakdown after anterior cruciate ligament reconstruction (ACLR). However, previous research lacks analysis of deleterious cartilage compositional changes and objective physical activity after ACLR. The purpose of this study was to determine the association between physical activity quantified via accelerometer-based measures of daily steps and time in moderate-to-vigorous physical activity (MVPA), and T1rho magnetic resonance imaging (MRI) of the femoral articular cartilage, a marker of proteoglycan density in individuals with ACLR. Daily steps and MVPA were assessed over 7 d using an accelerometer worn on the hip in 26 individuals between 6 and 12 months after primary unilateral ACLR. Resting T1rho MRI was collected bilaterally, and T1rho MRI interlimb ratios (ILR: ACLR limb/contralateral limb) were calculated for lateral and medial femoral condyle regions of interest. We conducted univariate linear regression analyses to determine associations between T1rho MRI ILRs and daily steps and MVPA with and without controlling for sex. Greater T1rho MRI ILR of the central lateral femoral condyle, indicative of less proteoglycan density in the ACLR limb, was associated with greater time in MVPA ( R2 = 0.178, P = 0.032). Sex-adjusted models showed significant interaction terms between daily steps and sex in the anterior ( P = 0.025), central ( P = 0.002), and posterior ( P = 0.002) medial femoral condyle. Lesser physical activity may be a risk factor for maintaining cartilage health after ACLR; additionally, the relationship between physical activity and cartilage health may be different between males and females.

O.3.2-5 24-hour compositions of physical (in)activity of women with temporomandibular disorders

Abstract Purpose Physical inactivity is a known risk factor for worsening pain, yet accelerometry-based assessment of sedentary behaviour (SED), physical activity (PA) and time-in-bed (as a proxy for sleep) in individuals with temporomandibular disorders (TMD) are still scarce. We aimed to document and compare the 24-hour time-use compositions of physical behaviours of women with TMD during weekdays and weekends. Methods Behaviours were monitored over 7 days using a thigh-worn accelerometer in 44 women with TMD according to the Diagnose Criteria for TMD (mean age 29.6 ± 7.2 years). Daily time-use compositions were exhaustively described in terms of SED in short (&amp;lt;30 min) and long (≥30 min) bouts, light PA (LPA), moderate-to-vigorous PA (MVPA), and time-in-bed. Following a compositional data analysis, isometric log-ratios (ilr) were calculated; ilr1 – time-in-bed relative to time spent awake, ilr2 – SED (short and long bouts) relative to LPA and MVPA, ilr3 – SED in short relative to long bouts, and ilr4 – LPA relative to MVPA. Differences between weekday and weekend data were examined using repeated-measures MANOVA, followed by univariate post-hoc tests of pairwise differences. Results During the week, women with TMD appeared to spend more time SED in short bouts (241 min), more time SED in long bouts (416 min), less time in LPA (241 min), less time in MVPA (62 min), and more time-in-bed (480 min) than on the weekend (223, 379, 276, 70 and 493 min, respectively). The MANOVA showed that the set of ilrs as a whole for weekdays and weekend differed significantly (ηp2 = 0.25, p = 0.02). The post-hoc tests showed that time spent SED in short and long bouts relative to LPA and MVPA (ilr2) was larger during the week than at the weekend (Cohen’s d = 0.31, p = 0.04). Conclusions Women with TMD behaved differently during weekdays and weekends, whether this relates to days with/without pain or to other factors is still unclear. Further research is required to understand whether these differences in behaviours are part of everyday life or a consequence of musculoskeletal pain.