Accelerometer Activity Research Articles

Association of Habitual Physical Activity With Cardiovascular Risk Factors and Target Organ Damage in Adolescents and Young Adults.

We aimed to (1)compare a subjective and objective measure of habitual physical activity (PA), (2)determine the association of PA and cardiovascular risk factors, and (3)test the hypothesis that PA is an independent determinant of target organ damage in youth. Cross-sectional analysis of youth with and without type 2 diabetes [mean age = 22 (3.9) y]. PA was measured with International Physical Activity Questionnaire and Actical accelerometer. Target organ damage was assessed with echocardiography and peripheral arterial testing. Subjects were stratified into tertiles of total PA, and differences were tested by analysis of variance and χ2 tests. General linear models tested for independent associations. The correlation between International Physical Activity Questionnaire and accelerometry was weak (r = .23, P = .0003). Less active subjects had worse cardiovascular risk profiles and target organ damage, including stiffer arteries (P < .01). These outcome differences did not reach statistical significance when adjusted for covariates, such as lipid levels and glycemic control. Survey assessment of PA is complicated by inaccurate reporting. There is a strong association of habitual PA with cardiovascular risk factor clustering. PA may exert its beneficial effect on arterial stiffness in obese youth through improved glycemic control.

Cross-sectional associations between sleep duration, sedentary time, physical activity, and adiposity indicators among Canadian preschool-aged children using compositional analyses

BackgroundSleep duration, sedentary behaviour, and physical activity are three co-dependent behaviours that fall on the movement/non-movement intensity continuum. Compositional data analyses provide an appropriate method for analyzing the association between co-dependent movement behaviour data and health indicators. The objectives of this study were to examine: (1) the combined associations of the composition of time spent in sleep, sedentary behaviour, light-intensity physical activity (LPA), and moderate- to vigorous-intensity physical activity (MVPA) with adiposity indicators; and (2) the association of the time spent in sleep, sedentary behaviour, LPA, or MVPA with adiposity indicators relative to the time spent in the other behaviours in a representative sample of Canadian preschool-aged children.MethodsParticipants were 552 children aged 3 to 4 years from cycles 2 and 3 of the Canadian Health Measures Survey. Sedentary time, LPA, and MVPA were measured with Actical accelerometers (Philips Respironics, Bend, OR USA), and sleep duration was parental reported. Adiposity indicators included waist circumference (WC) and body mass index (BMI) z-scores based on World Health Organization growth standards. Compositional data analyses were used to examine the cross-sectional associations.ResultsThe composition of movement behaviours was significantly associated with BMI z-scores (p = 0.006) but not with WC (p = 0.718). Further, the time spent in sleep (BMI z-score: γsleep = −0.72; p = 0.138; WC: γsleep = −1.95; p = 0.285), sedentary behaviour (BMI z-score: γSB = 0.19; p = 0.624; WC: γSB = 0.87; p = 0.614), LPA (BMI z-score: γLPA = 0.62; p = 0.213, WC: γLPA = 0.23; p = 0.902), or MVPA (BMI z-score: γMVPA = −0.09; p = 0.733, WC: γMVPA = 0.08; p = 0.288) relative to the other behaviours was not significantly associated with the adiposity indicators.ConclusionsThis study is the first to use compositional analyses when examining associations of co-dependent sleep duration, sedentary time, and physical activity behaviours with adiposity indicators in preschool-aged children. The overall composition of movement behaviours appears important for healthy BMI z-scores in preschool-aged children. Future research is needed to determine the optimal movement behaviour composition that should be promoted in this age group.

Validity of the Fitbit One for Measuring Activity in Community-Dwelling Stroke Survivors.

Purpose: We determined the correlation between the Fitbit One and Actical accelerometer for quantifying the 3-day step count and activity levels in community-dwelling individuals with stroke. Method: Twelve participants with a mean age of 62.6 (SD 9.3) years wore both the Fitbit One and the Actical on the non-paretic ankle for 3 days. Regression analyses were performed to examine concurrent validity between the devices for step counts and sedentary, light, moderate, and vigorous activity. The relative error of the Fitbit One compared with the Actical in measuring step count was calculated. Results: Participants spent about 80% of their days being sedentary. The associations between the Fitbit One and the Actical were r>0.80 for step count and light-intensity activity across the 3 days of free-living activity. The overall relative error in measuring step count was 3.8%, with differences between those with walking speeds of less than 0.58 metres per second and 0.58 metres per second or more (27.4% [SD 34.2] vs. -8.0% [SD 10.7], p<0.001). Conclusions: The Fitbit One was associated with the Actical accelerometer in measuring step count and light-intensity activity during free-living activity after stroke, but had lower error in capturing step count for those with faster walking speeds. The Fitbit One may not be valid for capturing higher intensity activity after stroke.

Estimating sleep efficiency in 10- to- 13-year-olds using a waist-worn accelerometer

ObjectiveIn field settings, wrist- and waist-worn accelerometers are typically used to assess sleep characteristics and movement behaviors, respectively. There has been a shift in movement behavior studies to wear accelerometers 24 h/d. Sleep characteristics could be assessed in these studies if sleep algorithms were available for waist-worn accelerometers. The objective of this study was to develop and provide validity data for an algorithm/sleep likelihood score cut-off to estimate sleep efficiency in children using the waist-worn Actical accelerometer. DesignCross-sectional study. ParticipantsFifty healthy children aged 10-13 years. MeasurementsChildren wore an Actical on their waist and an Actiwatch 2 on their nondominant wrist for 8 nights at home in their normal sleep environment. Participants were randomized into algorithm/sleep likelihood score “development” and “test” groups (n=25 per group). Within the development group, we assessed sleep efficiency with the Actical using the same algorithm that the Actiwatch 2 uses and selected the sleep likelihood score cut-off value that was the most accurate at predicting sleep efficiency at the nightly level compared with the Actiwatch 2. We applied this algorithm and cut-off value to the test group. ResultsMean (SD) sleep efficiency estimates for the test group from the Actical and Actiwatch 2 were 89.0% (3.9%) and 88.7% (3.1%), respectively. Bland-Altman plots and absolute difference scores revealed considerable agreement between devices for both nightly and weekly estimates of sleep efficiency. ConclusionA waist-worn Actical accelerometer can accurately predict sleep efficiency in field settings among healthy 10- to 13-year-olds.

The Effect of Dogs on Human Sleep in the Home Sleep Environment

ObjectiveTo objectively assess whether a dog in the bedroom or bed disturbs sleep. Participants and MethodsFrom August 1, 2015, through December 31, 2015, we evaluated the sleep of humans and dogs occupying the same bedroom to determine whether this arrangement was conducive to sleep. The study included 40 healthy adults without sleep disorders and their dogs (no dogs <6 months old). Each participant wore an accelerometer and their dog a validated dog accelerometer for 7 nights. ResultsThe mean ± SD age of the participants (88% women) was 44±14 years and body mass index was 25±6. The mean ± SD age of the dogs was 5±3 years and weight was 15±13 kg. Mean ± SD actigraphy data showed 475±101 minutes in bed, 404±99 minutes total sleep time, 81%±7% sleep efficiency, and 71±35 minutes wake time after sleep onset. The dogs' accelerometer activity during the corresponding human sleep period was characterized as mean ± SD minutes at rest, active, and at play of 413±102, 62±43, and 2±4. The dogs had mean ± SD 85%±15% sleep efficiency. Human sleep efficiency was lower if the dog was on the bed as opposed to simply in the room (P=.003). ConclusionHumans with a single dog in their bedroom maintained good sleep efficiency; however, the dog's position on/off the bed made a difference. A dog's presence in the bedroom may not be disruptive to human sleep, as was previously suspected.

A Bit of Fit: Minimalist Intervention in Adolescents Based on a Physical Activity Tracker.

BackgroundOnly 5% of Canadian youth meet the recommended 60 minutes of moderate to vigorous physical activity (MVPA) per day, with leisure time being increasingly allocated to technology usage. Direct-to-consumer mHealth devices that promote physical activity, such as wrist-worn physical activity trackers, have features with potential appeal to youth.ObjectiveThe primary purpose of this study was to determine whether a minimalist physical activity tracker-based intervention would lead to an increase in physical activity in young adolescents. A secondary aim of this study was to assess change in physical activity across a 7-week intervention, as measured by the tracker.MethodsUsing a quasi-experimental crossover design, two groups of 23 young adolescents (aged 13-14 years) were randomly assigned to immediate intervention or delayed intervention. The intervention consisted of wearing a Fitbit-Charge-HR physical activity tracker over a 7-week period. Actical accelerometers were used to measure participants’ levels of MVPA before and at the end of intervention periods for each group. Covariates such as age, sex, stage of change for physical activity behavior, and goal commitment were also measured.ResultsThere was an increase in physical activity over the course of the study period, though it was not related to overall physical activity tracker use. An intervention response did, however, occur in a subset of participants. Specifically, exposure to the physical activity tracker was associated with an average daily increase in MVPA by more than 15 minutes (P=.01) among participants who reported being in the action and maintenance stages of behavior change in relation to participation in physical activity. Participants in the precontemplation, contemplation, and preparation stages of behavior change had no change in their level of MVPA (P=.81).ConclusionsThese results suggest that physical activity trackers may elicit improved physical activity related behavior in young adolescents demonstrating a readiness to be active. Future studies should seek to investigate if integrating physical activity trackers as part of more intensive interventions leads to greater increases in physical activity across different levels of stages of behavior change and if these changes can be sustained over longer periods of time.

Transition Icons for Time-Series Visualization and Exploratory Analysis.

The modern healthcare landscape has seen the rapid emergence of techniques and devices that temporally monitor and record physiological signals. The prevalence of time-series data within the healthcare field necessitates the development of methods that can analyze the data in order to draw meaningful conclusions. Time-series behavior is notoriously difficult to intuitively understand due to its intrinsic high-dimensionality, which is compounded in the case of analyzing groups of time series collected from different patients. Our framework, which we call transition icons, renders common patterns in a visual format useful for understanding the shared behavior within groups of time series. Transition icons are adept at detecting and displaying subtle differences and similarities, e.g., between measurements taken from patients receiving different treatment strategies or stratified by demographics. We introduce various methods that collectively allow for exploratory analysis of groups of time series, while being free of distribution assumptions and including simple heuristics for parameter determination. Our technique extracts discrete transition patterns from symbolic aggregate approXimation representations, and compiles transition frequencies into a bag of patterns constructed for each group. These transition frequencies are normalized and aligned in icon form to intuitively display the underlying patterns. We demonstrate the transition icon technique for two time-series datasets-postoperative pain scores, and hip-worn accelerometer activity counts. We believe transition icons can be an important tool for researchers approaching time-series data, as they give rich and intuitive information about collective time-series behaviors.

Association between childcare educators’ practices and preschoolers’ physical activity and dietary intake: a cross-sectional analysis

IntroductionChildcare educators may be role models for healthy eating and physical activity (PA) behaviours among young children. This study aimed to identify which childcare educators’ practices are associated with preschoolers’...

Validity and reliability evidence of the physical activity level screening for preschoolers with developmental delays and/or disabilities.

Psychometric properties of the physical activity level screening (PALS) for preschoolers with a developmental delay and/or a disability were examined in this study. The mean age of participants (16 boys and 14 girls) was 54.9 months (standard deviation, 10.4). Each participant wore one Actical accelerometer and was filmed for 20 min during the active play time. Intrarater and interrater reliability, and validity of the PALS data were examined. The proportion of agreement for intrarater was 87.5% and 85.6% for interrater reliability. Intraclass correlation coefficients were 0.99 for intrarater and 0.96 for interrater. The PALS data showed moderate correlation with Actical data (r=0.67, P<0.01).

Sedentary behavior and physical activity predicting depressive symptoms in adolescents beyond attributes of health-related physical fitness

BackgroundSedentary behavior (SB), physical activity (PA), and attributes of physical fitness have been shown to be related to depressive symptoms in adolescents. The purpose of the present study was to investigate whether SB and fitness-producing activity predicted depression in active adolescents over and above gender and fitness attributes. MethodsParticipants were 249 adolescents (age: 12.85 ± 0.89 years, mean ± SD) from 3 public middle schools who wore Actical accelerometers to assess their SB and PA. Participants also completed the FITNESSGRAM health-related fitness assessment and a brief depression questionnaire. A 3-step hierarchical regression analysis was conducted with gender and fitness attributes (i.e., body mass index (BMI), maximal volume oxygen uptake (VO2max), curlups, and pushups), moderate- and vigorous-intensity activity, and SB entered in respective steps. ResultsRegression analysis indicated activity variables (i.e., moderate- and vigorous-intensity activity) significantly predicted depression (ΔR2 = 0.12, p < 0.01) beyond gender and fitness attributes. Overall, gender, fitness attributes, activity variables, SB explained 31% of the variance in depression. Structure coefficients revealed VO2max (rs = −0.77), moderate-intensity activity (rs = −0.67), vigorous-intensity activity (rs = −0.81), and SB (rs = 0.57) were substantially correlated with the criterion variable; thus, they were the strongest predictors of depression. ConclusionThe findings of the current study indicated SB and PA were both significant predictors of depression; however, sufficient fitness-producing activity and adequate cardiorespiratory fitness may nullify the negative influence of SB on depressive symptoms in active adolescents.

Abstract P308: Physical Activity is Associated With Lower Atherosclerotic Risk and Arterial Stiffness in Youth

Introduction: The prevalence of cardiovascular (CV) risk factors in young people has increased related to the pediatric obesity epidemic. An association between physical activity (PA) and target organ damage has been firmly established in adults, and such damage confers increased CV event risk. There is an urgent need to implement prevention strategies for CV disease in youth. Promoting PA holds promise in this regard. However, in order to be a useful marker, PA needs to be quantified accurately and feasibly in the clinical setting, and its relationship to preclinical CV disease in youth needs to be understood. Objective: We aimed to 1) examine the relationship between a subjective measure of PA and an objective measure in a young cohort, 2) determine the association of PA and other CV risk factors, and 3) test the hypothesis that PA is an independent determinant of target organ damage. Methods: Adolescents and young adults were recruited from an ongoing study of the effects of risk factors on CV aging. At baseline adolescents with type 2 diabetes mellitus were matched by age, sex, and race to lean and obese control subjects without diabetes. These analyses were performed at 5 years follow-up on 249 subjects (mean age 22 ± 3.9 years). PA was measured with the International Physical Activity Questionnaire (IPAQ) and the Actical accelerometer. Target organ damage was assessed with echocardiography and vascular structure and function testing. Subjects were stratified into tertiles of average PA with the lean group as the standard. Differences in endpoints by PA tertile were tested by analysis of variance and χ2 tests. General linear models were constructed and used to test for independent associations. Results: Responses to the IPAQ differed greatly from objective accelerometry. There was a weak trend toward increased CV risk factors and target organ damage in those with the lowest IPAQ scores. When subjects were stratified into tertiles of by accelerometry the less active subjects had significantly worse CV risk profiles as indicated by higher Pathobiological Determinants of Atherosclerosis in Youth (PDAY) scores, and more signs of target organ damage including stiffer arteries as indicated by greater carotid-femoral pulse wave velocities. These differences did not reach statistical significance when adjusted for metabolic variables. Conclusion: PA is associated with CV risk factor clustering and target organ damage in young people. Measuring PA in this population is feasible, but has limitations. This study confirms the utility of PA in predicting the presence of target organ damage. Our study is the first to demonstrate a negative, cross-sectional relationship between PA and PDAY score. Future opportunities for research include examining the contribution of different levels of PA on CV aging as well as the effect of increasing PA over time.

Abstract P307: Associations Between Physical Activity and Cardiac Functional Measures Assessed by Echocardiography: Echocardiographic Study of Latinos (ECHO-SOL)

Introduction: Physical activity (PA) is associated with cardiovascular health benefits including prevention of age related cardiac remodeling, systolic and diastolic dysfunction, and adaptive pro-hypertrophic effect. In this study we aim to measure the associations between PA and LV structure and function in a diverse Hispanic/Latino population. Methods: Participants included 1,818 self-identified Hispanic/Latino men and women, age 45-74 from the Echocardiographic Study of Latinos (ECHO-SOL). Standard echo measures included M-mode, two-dimensional (2-D), spectral, tissue Doppler and color flow. Participants wore an Actical hip accelerometer for 1 week. Multivariable regression models were completed to relate PA to echocardiographic parameters. Results: The mean ± SE age for the cohort was 56 ±0.4, 57% were female, the prevalence of diabetes was 28%, hypertension 50%, hypercholesterolemia 49%, and coronary heart disease 7%. Average moderate to vigorous PA (MVPA) was 20.9 ± 1.1 min/day and sedentary time ±SE was 736.5 ± 8.1 min/day. In multivariable models adjusted for age, gender, diabetes, hypertension, hypercholesterolemia, coronary heart disease, alcohol and cigarette use we found the following: left atrium volume index (LAVI) decrease by quartiles of MVPA (p-value&lt;0.001). Global circumferential strain (GCS) decreased across these quartiles of MVPA. Moreover, LAVI decreased by 0.3 per 100 min/day of sedentary time (p-value&lt;0.01) and GCS also decreased across quartiles of sedentary time. Conclusion: MVPA was significantly associated with lower LAVI. There was also a significant association with sedentary behavior. Our findings illustrate the complex relationship between PA, sedentary time and cardiac structure and function.

Abstract MP059: Incremental Light Activity Associated with Greater Brain Volume in Individuals Not Meeting the Physical Activity Guidelines: Cross Sectional Observations from the Framingham Heart Study

Background: Recent evidence suggests that dementia appears linked to subclinical vascular changes, which may be attenuated by physical activity. The Physical Activity Guidelines for Americans (PA-Guidelines) are currently set at 150 min of moderate-to-vigorous physical activity (MVPA) per week, as a target for adults to achieve favorable health outcomes, but make no specific recommendations for prevention of dementia. Many Americans fall well below the PA-Guidelines. The aim of this investigation was to determine whether there is a continuum of lower intensities and volumes of physical activity associated with healthy brain aging even in individuals not meeting the PA-Guidelines. Methods: We included Framingham Heart Study (FHS) participants who wore an Actical accelerometer for ≥3 valid days (&gt;10 h wear time per day) on their right hip during the most recent cohort examinations and completed brain magnetic resonance imaging (MRI) an average of 1.7 (±0.9) years later (n=2534): Offspring exam 9, Third Generation exam 2, and corresponding examinations of the Omni cohorts. Participants were excluded from this analysis if they had prevalent stroke or dementia (n=63) or met the 150 min MVPA per week PA-Guidelines (n=1158). Non-wear time (defined as 60 min of zero-counts, with two interruptions allowed) was removed. Sedentary time (&lt;200 counts/min, &lt;1.5 metabolic equivalents [METs]) and light activity (201-1485 counts/min, 1.5-3 METs) were only accumulated during 6 am-10 pm, were represented as proportions of wear time to account for differences in wear time among participants, and standardized to a 16 h day. MVPA (&gt;1486 counts/min, ≥3 METs) and steps were accumulated at any time of day. The relations of physical activity measures to brain MRI measures were assessed using multivariable linear regression. Results: More than 53% of FHS participants did not meet the PA-Guidelines for MVPA during their last exam, and were thus included in this investigation (n=1313, 56 [±14] years old, 60% women). These participants took an average of 6149 [±3079] steps, spent 10.5 [±6.1] min MVPA, 13 h 36 min [±48 min] sedentary and 2 h 14 min [±48 min] in light activities per day. Each additional 40 min of light activity (spent in 1.5-3 METs) or 42 min less time spent sedentary was associated with 0.22% [±0.07%] greater total cerebral brain volume (TCBV), after adjusting for age, sex, body mass index, smoking, diabetes mellitus, and cardiovascular disease (p=0.001), equivalent to approximately 1.1 years less brain aging. Greater light activity and lower sedentary time were also associated with greater hippocampal volume (p&lt;0.005). Conclusions: Our investigation demonstrates, in a community setting, that there may be a negative association of light physical activity with brain aging even among individuals not meeting the PA-Guidelines for MVPA.

Wrist-based cut-points for moderate- and vigorous-intensity physical activity for the Actical accelerometer in adults

ABSTRACTWrist-based accelerometers are increasingly used to assess physical activity (PA) in population-based studies; however, cut-points to translate wrist-based accelerometer counts into PA intensity categories are still needed. The purpose of this study was to determine wrist-based cut-points for moderate- and vigorous-intensity ambulatory PA in adults for the Actical accelerometer. Healthy adults (n = 24) completed a four-phase treadmill exercise protocol (1.9, 3.0, 4.0 and 5.2 mph) while wearing an Actical accelerometer on their wrist. Metabolic equivalent of task (MET) levels were assessed by indirect calorimetry. Receiver operating characteristics (ROC) curves were generated to determine accelerometer counts that maximised sensitivity and specificity for classification of moderate (≥3 METs) and vigorous (>6 METs) ambulatory activity. The area under the ROC curves to discriminate moderate- and vigorous-intensity ambulatory activity were 0.93 (95% confidence interval [CI]: 0.90–0.97; P < 0.001) and 0.96 (95% CI: 0.94–0.99; P < 0.001), respectively. The identified cut-point for moderate-intensity ambulatory activity was 1031 counts per minute, which had a corresponding sensitivity and specificity of 85.6% and 87.5%, respectively. The identified cut-point for vigorous intensity ambulatory activity was 3589 counts per minute, which had a corresponding sensitivity and specificity of 88.0% and 98.7%, respectively. This study established intensity-specific cut-points for wrist-based wear of the Actical accelerometer which are recommended for quantification of moderate- and vigorous-intensity ambulatory activity.

Daily Patterns of Accelerometer Activity Predict Changes in Sleep, Cognition, and Mortality in Older Men.

There is growing interest in the area of "wearable tech" and its relationship to health. A common element of many of these devices is a triaxial accelerometer that can yield continuous information on gross motor activity levels; how such data might predict changes in health is less clear. We examined accelerometry data from 2,976 older men who were part of the Osteoporotic Fractures in Men (MrOS) study. Using a shape-naive technique, functional principal component analysis, we examined the patterns of motor activity over the course of 4-7 days and determined whether these patterns were associated with changes in polysomnographic-determined sleep and cognitive function (Trail Making Test-Part B [Trails B], Modified Mini-Mental State Examination [3MS]), as well as mortality over 6.5-8 years of follow-up. In comparing baseline to 6.5 years later, multivariate modeling indicated that low daytime activity at baseline was associated with worsening of sleep efficiency (p < .05), more wake after sleep onset (p < .05), and a decrease in cognition (Trails B; p < .001), as well as a 1.6-fold higher rate of all-cause mortality (hazard ratio = 1.64 [1.34-2.00]). Earlier wake and bed times were associated with a decrease in cognition (3MS; p < .05). Having a late afternoon peak in activity was associated with a 1.4-fold higher rate of all-cause mortality (hazard ratio = 1.46 [1.21-1.77]). Those having a longer duration of their daytime activity with a bimodal activity pattern also had over a 1.4-fold higher rate of cardiovascular-related mortality (hazard ratio = 1.42 [1.02-1.98]). Patterns of daily activity may be useful as predictive biomarkers for changes in clinically relevant outcomes, including mortality and changes in sleep and cognition in older men.

Associations of objective physical activity with insulin sensitivity and circulating adipokine profile: the Framingham Heart Study.

The purpose of this study was to explore the relation of physical activity (PA) and sedentary time (SED) to insulin sensitivity and adipokines. We assessed PA and SED using Actical accelerometers and insulin resistance (HOMA-IR) in 2109 participants (free of type 1 and 2 diabetes mellitus) from Framingham Generation 3 and Omni 2 cohorts (mean age 46 years, 54% women). Systemic inflammation (C-reactive protein [CRP]) and circulating adipokines were measured 6 years earlier. Steps per day, moderate-to-vigorous PA (MVPA) and SED per wear time (%SED) were predictor variables in multivariable regression analyses, with HOMA-IR, CRP and circulating adipokines as outcome measures. We reported that higher MVPA and more steps per day were associated with lower HOMA-IR, adjusting for %SED (β = -0.036, P = 0.002; β = -0.041, P = 0.005). Steps were inversely associated with CRP, but were directly associated with insulin-like growth factor (IGF)-1 levels (β = -0.111, P = 0.002; β = 3.293, P = 0.007). %SED was positively associated with HOMA-IR (β = 0.033, P < 0.0001), but non-significant after adjusting for MVPA (P = 0.13). %SED was associated with higher ratio of leptin/leptin receptor (sOB-R) and higher adipocyte fatty acid-binding protein (FABP)4 (β = 0.096, P < 0.0001; β = 0.593, P = 0.002). Our findings suggest differential influences of PA vs. SED on metabolic pathways, with PA modulating insulin resistance and inflammation, whereas SED influences FABPs.

Use of combined method, accelerometer and international physical activity questionnaire, to determinate occurence of physical inactivity in adults

Use of combined method, accelerometer and international physical activity questionnaire, to determinate occurence of physical inactivity in adults

Comparison of Physical Activity Level, Physical Activity Pattern and Energy Expenditure in Male and Female Elementary School Soccer Players using Accelerometer and Physical Activity Diary

Comparison of Physical Activity Level, Physical Activity Pattern and Energy Expenditure in Male and Female Elementary School Soccer Players using Accelerometer and Physical Activity Diary

Early Intervention to Encourage Physical Activity in Infants and Toddlers: A Randomized Controlled Trial.

Few physical activity interventions have been undertaken in infants and toddlers, despite concerns that they are insufficiently active. The Prevention of Overweight in Infancy trial encouraged parents to be physically active with their child from birth, including prone-based play ("tummy time"), while reducing time spent restrained in car seats and "strollers." A total of 802 women, recruited in late pregnancy, were randomized to a physical activity intervention, which provided information antenatally, and active group sessions with their infant at 3, 9, and 18 months of age. Questionnaires were completed at multiple time points, and toddlers wore Actical accelerometers for 5 d at 24 months of age. Attendance at intervention sessions was high in infancy but declined by 18 months to 66%. Almost all parents placed their infant prone to play at least once a day (90%-95%, overall median 25 min·d), with no intervention differences observed (P = 0.445 and P = 0.350 at 4 and 6 months, respectively). Few differences were observed in other measures of restraint or parental activity at any time point. At 2 yr, children spent approximately 8 h·d in sedentary time while awake and 3.6 h in light-to-vigorous activity. However, no group differences were apparent in counts per minute (P = 0.759) or time in light-to-vigorous activity (P = 0.960). An early life intervention targeting improvements in child and parent physical activity as part of a wider obesity prevention initiative had little effect on physical activity at 2 yr of age.

Outdoor time, physical activity and sedentary time among young children: The 2012-2013 Canadian Health Measures Survey.

Previous studies have shown that children who spend more time outdoors are more active and spend less time sedentary, but these studies were limited by the use of small convenience samples. We examined the relationship between outdoor time and measures of physical activity (PA), screen time and sedentary time in a nationally-representative sample of young children. Parental reports of outdoor time were obtained for 594 children aged 3-6 years (47.8% girls) who participated in the 2012-2013 Canadian Health Measures Survey. Participants were asked to wear an Actical accelerometer for seven consecutive days. Outdoor time and screen time were assessed by parent reports. The relationships between outdoor time and measures of PA, screen time and sedentary time were examined with linear regression models. Adherence to PA guidelines was estimated based on a betabinomial distribution, and adherence with the screen time guidelines was assessed through logistic regression models. All analyses were stratified by age group (3-4 and 5-6 year olds) and adjusted for sex, parental education and household income. Among 5-6 year olds, each additional hour spent outdoors was associated with an additional 10 minutes of moderate-to-vigorous PA (95% CI: 6-14), 27,455 more accelerometer counts/day (95% CI: 11,929-42,980) and an increased likelihood of meeting the PA guidelines (OR = 2.53; 95% CI: 1.68-3.82). No significant relationships were observed among 3-4 year olds. Outdoor time has a large effect on PA among 5-6 year olds at a population level. Future studies should examine the correlates of outdoor time to inform novel PA promotion interventions.