Differences In Sedentary Time Research Articles

Differences in the Physical Activity, Sedentary Time, and BMI of Finnish Grade 5 Students.

This study examined the distribution of objectively measured physical activity (PA) and sedentary time of fifth-grade students during school, leisure time, and physical education (PE) classes. Demographic, anthropometric, and PA data were collected from 17 representative Finnish schools. To estimate the PA and sedentary time, participants (N = 592) wore wGT3X-BT ActiGraphs for 7 consecutive days. Comparisons were made between genders and different BMI groups. From the study sample, 43.7% met the moderate to vigorous PA (MVPA) guidelines. Participants spent 62.2% of the day sedentary and 8.2% in moderate and vigorous activities. Boys performed more MVPA than girls, and girls were more sedentary during school days. Boys had more MVPA than girls in leisure time, but there were no differences in sedentary time. However, an examination of PA assessed during PE classes revealed no differences between boys and girls. Normal-weight boys engaged in more MVPA than overweight and obese boys. No differences were found for girls. The PE levels differ between different BMI groups in leisure time and during school but not during PE lessons. PA for overweight children should be targeted and compulsory PE time should be increased to achieve the PA guidelines.

The effect of a programme to improve men's sedentary time and physical activity: The European Fans in Training (EuroFIT) randomised controlled trial.

BackgroundReducing sitting time as well as increasing physical activity in inactive people is beneficial for their health. This paper investigates the effectiveness of the European Fans in Training (EuroFIT) programme to improve physical activity and sedentary time in male football fans, delivered through the professional football setting.Methods and findingsA total of 1,113 men aged 30–65 with self-reported body mass index (BMI) ≥27 kg/m2 took part in a randomised controlled trial in 15 professional football clubs in England, the Netherlands, Norway, and Portugal. Recruitment was between September 19, 2015, and February 2, 2016. Participants consented to study procedures and provided usable activity monitor baseline data. They were randomised, stratified by club, to either the EuroFIT intervention or a 12-month waiting list comparison group. Follow-up measurement was post-programme and 12 months after baseline. EuroFIT is a 12-week, group-based programme delivered by coaches in football club stadia in 12 weekly 90-minute sessions. Weekly sessions aimed to improve physical activity, sedentary time, and diet and maintain changes long term. A pocket-worn device (SitFIT) allowed self-monitoring of sedentary time and daily steps, and a game-based app (MatchFIT) encouraged between-session social support. Primary outcome (objectively measured sedentary time and physical activity) measurements were obtained for 83% and 85% of intervention and comparison participants. Intention-to-treat analyses showed a baseline-adjusted mean difference in sedentary time at 12 months of −1.6 minutes/day (97.5% confidence interval [CI], −14.3–11.0; p = 0.77) and in step counts of 678 steps/day (97.5% CI, 309–1.048; p < 0.001) in favor of the intervention. There were significant improvements in diet, weight, well-being, self-esteem, vitality, and biomarkers of cardiometabolic health in favor of the intervention group, but not in quality of life. There was a 0.95 probability of EuroFIT being cost-effective compared with the comparison group if society is willing to pay £1.50 per extra step/day, a maximum probability of 0.61 if society is willing to pay £1,800 per minute less sedentary time/day, and 0.13 probability if society is willing to pay £30,000 per quality-adjusted life-year (QALY). It was not possible to blind participants to group allocation. Men attracted to the programme already had quite high levels of physical activity at baseline (8,372 steps/day), which may have limited room for improvement. Although participants came from across the socioeconomic spectrum, a majority were well educated and in paid work. There was an increase in recent injuries and in upper and lower joint pain scores post-programme. In addition, although the five-level EuroQoL questionnaire (EQ-5D-5L) is now the preferred measure for cost-effectiveness analyses across Europe, baseline scores were high (0.93), suggesting a ceiling effect for QALYs.ConclusionParticipation in EuroFIT led to improvements in physical activity, diet, body weight, and biomarkers of cardiometabolic health, but not in sedentary time at 12 months. Within-trial analysis suggests it is not cost-effective in the short term for QALYs due to a ceiling effect in quality of life. Nevertheless, decision-makers may consider the incremental cost for increase in steps worth the investment.Trial registrationInternational Standard Randomised Controlled Trials, ISRCTN-81935608.

Differences in objectively measured physical activity and sedentary behaviour between white Europeans and south Asians recruited from primary care: cross-sectional analysis of the PROPELS trial

BackgroundSelf-reported data have consistently shown South Asians (SAs) to be less physically active than White Europeans (WEs) in developed countries, however objective data is lacking. Differences in sedentary time have not been elucidated in this population. This study aimed to quantify differences in objectively measured physical activity and sedentary behaviour between WEs and SAs recruited from primary care and to investigate differences in demographic and lifestyle correlates of these behaviours.MethodologyBaseline data were utilised from a randomised control trial recruiting individuals identified at high risk of type 2 diabetes from primary care. Light intensity physical activity, moderate-to-vigorous intensity physical activity (MVPA) and steps were measured using the Actigraph GT3X+, while sitting, standing and stepping time were measured using the activPAL3™. Devices were worn concurrently for seven days. Demographic (employment, sex, age, education, postcode) and behavioural (fruit and vegetable consumption, alcohol consumption, smoking status) characteristics were measured via self and interview administered questionnaires.ResultsA total of 963 WE (age = 62 ± 8, female 51%) and 289 SA (age = 55 ± 11, female 43%) were included. Compared to WEs, SAs did less MVPA (24 vs 33 min/day, p = 0.001) and fewer steps (6404 vs 7405 per day, p ≤ 0.001), but sat less (516 vs 552 min/day, p ≤ 0.001) and stood more (328 vs 283 min/day, p ≤ 0.001). Ethnicity also modified the extent to which demographic and behavioural factors act as correlates of physical activity and sedentary behaviour. Differences between sex in levels of MVPA and sitting time were greater in SAs compared to WEs, with SA women undertaking the least amount of MVPA (19 min/day), the least sitting time (475 min/day) and most standing time (377 min/day) than any other group. Smoking and alcohol status also acted as stronger correlates of sitting time in SAs compared to WEs. In contrast, education level acted as a stronger correlate of physical activity in WEs compared to SAs.ConclusionSAs were less active yet less sedentary than WEs, which demonstrates the need to tailor the behavioural targets of interventions in multi-ethnic communities. Common correlates of physical activity and sedentary behaviour also differed between ethnicities.Trial registrationISRCTN83465245 Trial registration date: 14/06/2012.

Sex differences in physical activity among Ghanaian patients with sickle cell disease.

IntroductionMusculoskeletal pain and functional limitations experienced by patients with Sickle Cell Disease (SCD) impact their physical activity and social behaviour. Yet, we know little about physical activity behaviour in patients with SCD. The aim of this study was to investigate gender differences in physical activity, sedentary time and measures of fitness among Ghanaian adults with SCD. The study also determined the association between outcome variables in this population.MethodsPatients with SCD attending a sickle cell clinic in a tertiary hospital in Accra, Ghana participated in this cross-sectional study. Physical activity, sedentary time, body composition, flexibility and cardiovascular endurance were assessed. Demographic data were also collected by self-report.ResultsFifty three participants enrolled in the study. Of these, more than half were females (60.4%) and the average age of the participants was (M: 26.8, SD: 8.5 years). The total physical activity reported by the participants was different between males and females (t = 2.610, p = 0.012). However, there were no gender differences in sedentary time, body composition, flexibility and cardiovascular endurance. A moderately significant association was found between sedentary time and cardiovascular endurance (r = 0.437, p = 0.001).ConclusionThe findings suggest that gender differences in physical activity are apparent in patients with SCD. Investigations into the mechanisms underpinning these differences are warranted. Additionally, longitudinal observations of objectively measured physical activity may be useful to validate these results in a larger sample.

Associations of neighborhood environmental attributes with adults' objectively-assessed sedentary time: IPEN adult multi-country study

Neighborhood environmental attributes have been found to be associated with residents' time spent walking and in physical activity, in studies from single countries and in multiple-country investigations. There are, however, mixed findings on such environmental relationships with sedentary (sitting) time, which primarily have used evidence derived from single-country investigations with self-reported behavioral outcome measures. We examined potential relationships of neighborhood environmental attributes with objectively-assessed sedentary time using data from 5712 adults recruited from higher and lower socio-economic status neighborhoods in 12 sites in 10 countries, between 2002 and 2011. Ten perceived neighborhood attributes, derived from an internationally-validated scale, were assessed by questionnaire. Sedentary time was derived from hip-worn accelerometer data. Associations of individual environmental attributes and a composite environmental index with sedentary time were estimated using generalized additive mixed models. In fully adjusted models, higher street connectivity was significantly related to lower sedentary time. Residential density, pedestrian infrastructure and safety, and lack of barriers to walking were related to higher sedentary time. Aesthetics and safety from crime were related to less sedentary time in women only. The predicted difference in sedentary time between those with the minimum versus maximum composite environmental index values was 71 min/day. Overall, certain built environment attributes, including street connectivity, land use mix and aesthetics were found to be related to sedentary behavior in both expected and unexpected directions. Further research using context-specific measures of sedentary time is required to improve understanding of the potential role of built environment characteristics as influences on adults' sedentary behavior.

Association Between Employment Status and Objectively Measured Physical Activity and Sedentary Behavior-The Maastricht Study.

To examine the association between employment status and physical activity and sedentary behavior. We included 2045 participants from The Maastricht Study, who used a thigh-worn accelerometer. We compared time spent sedentary, standing, stepping, and higher intensity physical activity between participants with different employment status (non-employed or low-, intermediate- or high-level occupation) with analysis of variance. Participants in low-level occupations were less sedentary and standing and stepping more than those in other occupational categories and non-employed participants. Among the employed, the differences were mostly observed on weekdays, whereas the differences in sedentary time and standing between those in low-level occupations and non-employed participants were evident both on weekdays and weekend days. Those in low-level occupational category were less sedentary and more active than non-employed and those in other occupational categories, especially on weekdays.

Associations of the perceived and objective neighborhood environment with physical activity and sedentary time in New Zealand adolescents

BackgroundThere is accumulating evidence supporting the association between neighborhood built environments and adults’ physical activity (PA) and sedentary time (ST); however, few studies have investigated these associations in adolescents. A better understanding of the features of the built environment that encourage PA or ST is therefore of critical importance to promote health and wellbeing in adolescents. The aim of this study was to estimate the associations of GIS-determined and perceived walkability components in individual residential buffer zones with accelerometer-assessed moderate-to-vigorous physical activity (MVPA) and ST in adolescents.MethodsThe Built Environment in Adolescent New Zealanders (BEANZ) study was conducted in two cities (Auckland and Wellington) during the 2013-2014 academic school years. The exposure measures were subjective and objective environmental indices of activity-friendliness using four residential buffers. Road network buffers were calculated around participant’s residential addresses using the sausage buffer approach at 250 m, 500 m, 1 km, and 2 km scales. A 25 m radius was used for the buffers. Data were analysed using Generalized Additive Mixed Models in R.ResultsData were analysed from 524 participants (15.78 ± 1.62 years; 45% male). Participants accumulated ~114 min/day of moderate-to-vigorous PA (MVPA) and ~354 min/day of ST during accelerometer wear-time (~828 min/day). The estimated difference in MVPA between participants with the 1st and 3rd quartiles observed values on the composite subjective environmental index of activity-friendliness (perceived land use mix - diversity, street connectivity and aesthetics) was equivalent to ~8 min/day (~56 MVPA min/week) and for the objective environmental index of activity-friendliness (gross residential density and number of parks within 2 km distance from home) was ~6 min of MVPA/day (~45 MVPA min/week). When both indices were entered in a main-effect model, both indices remained significantly correlated with MVPA with sex as a moderator. The predicted difference in sedentary time between those with the minimum and maximum observed values on the subjective index of non-sedentariness was ~20 min/day.ConclusionsThe combined assessment of the main effects of subjective and objective indices of activity-friendliness on NZ adolescents’ PA and ST showed positive relationships with MVPA for the subjective index only. The subjective index was a significant correlate of PA in both girls and boys, while the objective index was significant only in boys when sex was entered as a moderator. Further research is warranted to understand the relationships of ST with the built environment.

Reducing sedentary time in adults at risk of type 2 diabetes: process evaluation of the STAND (Sedentary Time ANd Diabetes) RCT

BackgroundReducing sedentary behaviour may have important health implications. This study evaluated the potential enablers and barriers for outcomes of a randomised controlled trial (RCT) designed to evaluate a pragmatic education based intervention designed to reduce sedentary (sitting) behaviour in young adults at high risk of type 2 diabetes.MethodsData were collected from participants in the intervention group immediately after an educational workshop addressing sedentary time and diabetes risk (n = 71), through phone interviews 6 weeks (n = 45) after the workshop, and at the conclusion of the 12-month trial (n = 10). The two education session facilitators were also interviewed about the intervention.ResultsThe RCT showed no difference in sedentary time at 12 months between intervention and control arms. The lack of behaviour change appeared not to be attributed to the workshops, which were well led and very favourably received according to feedback. However, factors contributing to this lack of behaviour change include lack of perceived health risk from baseline measures feedback; the preference to adopt physically active behaviours rather than to sit less; certain barriers to sitting less; motivational drift after the 3-month follow-up measurements where participants had no contact for a further 9 months; and, for some, unreliability of the self-monitoring tool.ConclusionsThe workshop was well led and well received by the attendees but future interventions need to consider more contact with participants, discuss any specific benefits around simply standing to reduce sitting time, address the barriers to sitting less, and provide a more user-friendly and reliable self-monitoring tool.Trial registrationCurrent controlled trials ISRCTN08434554, MRC project 91409. Registered retrospectively on 22 February 2011.

Residents of highly walkable neighbourhoods in Canadian urban areas do substantially more physical activity: a cross-sectional analysis.

Research has shown that neighbourhood walkability is associated with small differences in physical activity; however, the health impacts of these small differences have been questioned. We examined the size of the association of walkability with accelerometer-measured physical activity in a large, national-level Canadian population, and compared results to physical activity levels recommended in international guidelines. Our primary objective was to investigate the direction and size of the differences in physical activity that were related to walkability, and whether these differences depended on age. Participants were included from among respondents to the 2007-2011 Canadian Health Measures Surveys who lived in urban areas and were aged 6-79 years. The Canadian Health Measures Surveys are ongoing cross-sectional surveys of a Canada-wide population. Respondents were divided into quintiles based on Street Smart Walk Score® values of their census dissemination areas. For all respondents and age subgroups, we used covariate-adjusted generalized linear models to estimate differences between quintiles in accelerometer-measured moderate-to-vigorous physical activity (MVPA) and sedentary time. We included 7180 respondents. Differences in participant MVPA between highest and lowest Street Smart Walk Score quintiles were 3.2 (95% confidence interval [CI] -3.2 to 9.6) minutes/day for ages 6-11 years, 11.4 (95% CI 5.3 to 17.4) minutes/day for ages 12-17 years, 9.9 (95% CI 2.4 to 17.4) minutes/day for ages 18-29 years, 14.9 (95% CI 10.2 to 19.6) minutes/day for ages 30-44 years, 11.5 (95% CI 6.7 to 16.3) minutes/day for ages 45-64 years and 6.9 (95% CI 3.1 to 10.8) minutes/day for ages 65-79 years. There were no significant differences in sedentary time in any age group. In all groups except the youngest, participants in the most walkable areas did significantly more MVPA than those in the least walkable areas. For several age groups, this difference was approximately one-half to two-thirds of the amount recommended in guidelines for physical activity. Substantially higher MVPA levels suggest that residents of highly walkable areas may have greater health benefits.

Interventions to reduce sedentary behaviour in 0–5-year-olds: a systematic review and meta-analysis of randomised controlled trials

Aim or objectiveTo evaluate the effectiveness of behavioural interventions that report sedentary behaviour outcomes during early childhood.DesignSystematic review and meta-analysis.Data sourcesAcademic Search Complete, CINAHL Complete, Global Health, MEDLINE Complete, PsycINFO,...

Development of sedentary behavior across childhood and adolescence: longitudinal analysis of the Gateshead Millennium Study.

BackgroundIn many parts of the world policy and research interventions to modify sedentary behavior of children and adolescents are now being developed. However, the evidence to inform these interventions (e.g. how sedentary behavior changes across childhood and adolescence) is limited. This study aimed to assess longitudinal changes in sedentary behavior, and examine the degree of tracking of sedentary behavior from age 7y to 15y.MethodsParticipants were part of the Gateshead Millennium Study cohort. Measures were made at age 7y (n = 507), 9y (n = 510), 12y (n = 425) and 15y (n = 310). Participants were asked to wear an ActiGraph GT1M and accelerometer epochs were defined as sedentary when recorded counts were ≤25 counts/15 s. Differences in sedentary time and sedentary fragmentation were examined using the Friedman test. Tracking was examined using Spearman’s correlation coefficients and trajectories over time were assessed using multilevel linear spline modelling.ResultsMedian daily sedentary time increased from 51.3 % of waking hours at 7y to 74.2 % at 15y. Sedentary fragmentation decreased from 7y to 15y. The median number of breaks/hour decreased from 8.6 to 4.1 breaks/hour and the median bout duration at 50 % of the cumulative sedentary time increased from 2.4 min to 6.4 min from 7y to 15y. Tracking of sedentary time and sedentary fragmentation was moderate from 7y to 15y however, the rate of change differed with the steepest increases/decreases seen between 9y and 12y.ConclusionIn this study, sedentary time was high and increased to almost 75 % of waking hours at 15y. Sedentary behavior became substantially less fragmented as children grew older. The largest changes in sedentary time and sedentary fragmentation occurred between 9y to 12y, a period which spans the transition to secondary school. These results can be used to inform future interventions aiming to change sedentary behavior.

An Intervention To Reduce Sedentary Time And Change Perceived Wellness In Women Office Workers

Physical activity and exercise reduce the risk of chronic disease. Sedentary behavior has emerged as an independent risk factor for chronic disease and premature death. PURPOSE: To determine whether an intervention to disrupt sedentary time at work would reduce sedentary time during working hours, non-working hours, number of sit-stand transitions during working hours, and change in perceived wellness. METHODS: Office staff and administrators who worked in office buildings at a University with a sedentary job description, consisting of sitting at a desk for the majority of the workday were recruited. Participants (n = 44) were randomly assigned to the control-control group (CC) (n=22), or the control-intervention group (CI) (n=22). Both groups wore an activPAL3 activity monitor, functioning as both an accelerometer and inclinometer continuously for 2 weeks. The CC group maintained normal behaviors. The CI group maintained normal behaviors during week 1, but responded to the hourly alerts on their computer throughout the workday during week 2. The hourly audible alert was a reminder to get up and move for a short duration. Both groups completed a perceived wellness survey at the beginning of the study and after weeks 1 and 2. RESULTS: Participants were women aged 48 ± 10 with a BMI of 30.5 ± 8.2. A repeated measures ANOVA (group x time) found no differences during week 2 in sit time during non-work hours (CC 13.82 ± 1; CI 13.54 ±, p = .444) or sit-to-stand transitions at work (CC 39 ± 12; CI 41 ± 13; p = .673). There was a between groups difference in sedentary time at work during week 2 (CC 6.05 ± .74; CI 5.42 ± 1.19; p = .012). However, neither group changed from week 1 to week 2 (p = 0.509). Perceived wellness was not different between groups (p > 0.05). A significant difference was found in perceived wellness from day 0 to day 16 (p < 0.001) in both groups. CONCLUSIONS: The intervention had no effect on sitting time or sit-to-stand transitions during the workday. There was no change in any variable during non-work hours. Perceived wellness scores improved over time for both groups in the absence of behavior change.

Differences in sedentary time and physical activity among mothers and children using a movement-to-music video program in the home environment: a pilot study.

Measured objectively, less than a quarter of adults and under half of preschool children in Finland meet the physical activity recommendations. Moreover, higher sedentary time among parents (such as watching television) is associated with higher sedentary time of their children. The study introduces an intervention based on reducing sedentary behavior among mothers and their children. It utilizes a combination of music and exercise via a motivation-targeting movement-to-music video program in the home environment. Data were collected in summer 2014 from Finland’s Pirkanmaa region. Each mother–child pair (n = 24, child age: 4–7 years) was assigned to the intervention and control group. Both groups used an accelerometer and completed physical activity diaries for two consecutive weeks (14 days) during waking hours. In addition, the intervention group was instructed to use the movement-to-music video program during the second week. Differences between groups were expected in analysis of sedentary time and physical activity between weeks 1 and 2. The parameters assessed were sedentary time (i.e., lying down or sitting), standing still, and time spent in physical activity. Less sedentary time was revealed in week 2 than in week 1 among both intervention group mothers (56.6 vs. 53.3 %) and for intervention group children (49.5 vs. 46.0 %). The opposite was true of control group mothers (52.1 vs. 52.4 %) and children (46.7 vs. 49.8 %). Within-group differences in mothers’ sedentary time correlated moderately with the children’s sedentary time (Spearman’s r = 0.56). All groups exhibited slightly more standing in the second week than in week 1. Both sets of intervention participants also engaged in more light physical activity in week 2, with the opposite evident for the two control sets. In all groups, except the control children, the proportion of moderate to vigorous physical activity was higher in the second week than the first. The use of music and video content together may yield added benefits in efforts to reduce sedentary behavior and increase physical activity among mothers and their children in the home environment.

Differences in sedentary time and physical activity between female patients with fibromyalgia and healthy controls: the al-Ándalus project.

To characterize the levels of objectively measured time spent in sedentary activities (sedentary time) and physical activities in female patients with fibromyalgia and compare them with the levels in age-matched healthy control women. The study comprised 413 female patients with fibromyalgia (mean ± SD age 51.9 ± 7.4 years) and 188 female control subjects (age 50.9 ± 7.5 years). Sedentary time, the amount of time spent engaged in physical activity, and step counts were measured using triaxial accelerometry. The amounts of time (minutes/day) during which the participants were engaged in sedentary behaviors as well as in physical activity of different intensities (light, moderate, and moderate-to-vigorous) and the step counts were calculated. The amount of time spent in sedentary behavior was longer in patients with fibromyalgia compared with controls (estimated mean ± SEM difference 39 ± 8 minutes/day; P < 0.001). The patients with fibromyalgia spent less time than controls engaged in light physical activity (mean ± SEM difference -21 ± 7 minutes/day; P = 0.005), moderate physical activity (mean ± SEM difference -17 ± 3 minutes/day; P < 0.001), and moderate-to-vigorous physical activity (mean ± SEM difference -19 ± 3 minutes/day; P < 0.001). The patients with fibromyalgia took fewer steps/day compared with the control subjects (mean ± SEM difference -1,881 ± 262 steps/day; P < 0.001). Only 20.6% of the patients with fibromyalgia and 46.3% of the control subjects fulfilled the recommendation for 150 minutes/week of moderate-to-vigorous physical activity in bouts of at least 10 minutes/bout (χ(2) = 41.8, P < 0.001). Similarly, only 16.0% of the patients fulfilled the recommendation for ≥10,000 steps/day compared with 44.7% of the control subjects (χ(2) = 56.8, P < 0.001). Both the patients and the control subjects were more active (physical activity of all intensities and numbers of steps) on weekdays than on weekend days (all P ≤ 0.001). Female patients with fibromyalgia spent more time in sedentary behaviors and were less physically active than age-matched controls. The low proportions of female patients with fibromyalgia and control subjects who met the physical activity and step count recommendations is worrisome.

Sedentary and Active Time in Toddlers with and without Cerebral Palsy.

To evaluate differences in sedentary time and compare levels of physical activity and sedentary behavior to the Australian physical activity recommendations between toddlers with cerebral palsy (CP) according to functional capacity (Gross Motor Function Classification System [GMFCS]) and age-matched children with typical development (CTD). Children (2.4 ± 0.5 yr old) were split into CTD (n = 20), GMFCS I-II (n = 32), GMFCS III (n = 14), and GMFCS IV-V (n = 12) groups and wore a triaxial ActiGraph® for 3 d. Validated cut points were applied to identify sedentary and active time and the number and duration of sedentary bouts and breaks for each group. Analysis of variance (ANOVA) with post hoc testing, chi-square analysis, and the Fisher exact test were used to compare groups. No difference between the CTD group (49%) and GMFCS I-II group (52%) was found for sedentary time as a percentage of wear time. The GMFCS III group was more sedentary than both these groups (62%, P < 0.05). The GMFCS IV-V group was more sedentary than all the other groups (74%, P < 0.05). The CTD group and GMFCS I-II group was more likely to spend 180 min or longer in active play on all 3 d than the GMFCS IV-V group (P < 0.05). The GMFCS IV-V group was more likely to have sedentary bouts ≥60 min or longer than all other groups (P < 0.05). Differences in sedentary behavior between the CTD and mildly impaired children with CP (GMFCS I-II) are not evident in the toddler years. Children with moderate-to-severe functional impairment are progressively more sedentary and less likely to meet physical activity guidelines. Further research into the health implications of high levels of sedentary behavior in toddlers is required.

An objective assessment of toddlers' physical activity and sedentary levels: a cross-sectional study.

BackgroundLittle evidence exists on the physical activity and sedentary time of Canadian toddlers; this study objectively measured such behaviors and compared participants’ activity levels to national guidelines. Levels of screen-viewing among toddlers were also explored.MethodsForty toddlers (mean age = 25.7 months) wore Actical accelerometers for seven consecutive days (15 s epoch). Parents/guardians completed a wear-time log and a demographic and screen-viewing questionnaire. Descriptive analyses were used to determine participants’ levels of physical activity and sedentary time, to identify whether toddlers were meeting physical activity/sedentary guidelines, and to explore demographic variables. T-tests were used to assess whether toddlers’ activity levels differed based on cut-points applied and various demographic and screen-related variables. Regression analyses were conducted to examine associations between toddlers’ sedentary time and screen-viewing levels.ResultsToddlers engaged in 37.27 (SD = 3.79) to 49.40 (SD = 3.29) mins/hr of sedentary time, 9.79 (SD = 2.90) to 18.78 (SD = 3.22) mins/hr of light-intensity physical activity (LPA), 0.82 (SD = 0.72) to 3.95 (SD = 1.93) mins/hr of moderate- to vigorous-intensity physical activity (MVPA), and 10.60 (SD =3.29) to 22.73 (SD = 3.97) mins/hr of total physical activity (TPA), based on the Trost et al. and the Canadian Health Measures Survey (CHMS) cut-points respectively; these rates were significantly different (p <.001). On at least 1 day, 17.5 % (Trost et al. cut-points) and 97.5 % (CHMS cut-points) of the sample met or exceeded the Canadian physical activity guidelines. No statistically significant differences in sedentary time or physical activity (all intensities) based on sex were reported (p <.001); however, LPA (CHMS cut-points) did significantly differ based on childcare attendance (p <.05). Approximately 93.2 % of participants watched television, and 56.8 % utilized computers. Only 18.8 and 25.0 % of children under 2 years and 70.8 and 62.5 % of 2–3 years olds met the screen-use recommendation of the sedentary behavior guidelines on weekdays and weekend days, respectively.Discussion and conclusionThe implications of this work suggest that a greater understanding of toddlers’ activity patterns is needed; additional mechanisms of promoting active behaviors among this group should be explored.

Prevalence and influences of preschoolers' sedentary behaviors in early learning centers: a cross-sectional study.

BackgroundRecent research has highlighted the need for increased evidence regarding the sedentary activity levels of preschoolers. Given the large proportion of time this population spends in various early learning facilities, the exploration of sedentary behaviors within this particular environment should be a priority. The purpose of the study was two-fold: (1) to compare sedentary time of preschoolers in three different early learning environments (i.e., full-day kindergarten [FDK], center-, and home-based childcare); and (2) to assess which characteristics (i.e., staff behaviors, sedentary environment, fixed play environment, portable play environment, sedentary opportunities) of these early learning environments influence preschoolers’ sedentary time.MethodsData collection occurred between September 2011 and June 2012. Preschoolers’ sedentary time was measured using Actical™ accelerometers at a 15 s epoch. The Environment and Policy Assessment and Observation (EPAO) tool was used to assess the sedentary environment of participating early learning classrooms, and those subscales (n = 5) that were evidence-informed as potentially influencing sedentary time in early learning centers were explored in the current study. A linear mixed model ANCOVA was carried out to determine the differences in sedentary time based on type of early learning environment while direct entry regression analyses were performed to describe the relationships between sedentary time and the five sedentary-specific EPAO subscale.ResultsPreschoolers (n = 218) from 28 early learning programs (i.e., 8 FDK, 9 centre-, and 8 home-based childcare facilities) participated. Accelerometry data revealed that preschoolers attending centre-based childcare engaged in the highest rate of sedentary time (41.62 mins/hr, SD = 3.78) compared to preschoolers in home-based childcare (40.72 mins/hr, SD = 6.34) and FDK (39.68 mins/hr, SD = 3.43). The models for FDK, center-based childcare, and home-based childcare, comprised each of the five EPAO subscales accounted for 10.5 %, 5.9 %, and 40.78 % of the variability in sedentary time, respectively. Only the models for FDK and home-based childcare were found to be statistically significant (p < .05).ConclusionsThis is the first exploration of differences in sedentary time among preschoolers in different early learning arrangements. Findings highlight the substantial portion of the day preschoolers spend in sedentary pursuits, and subsequently, the ongoing need to reduce preschoolers’ sedentary time in early learning programs, particularly among those attending centre-based childcare facilities.

Effect of the PPARG2 Pro12Ala Polymorphism on Associations of Physical Activity and Sedentary Time with Markers of Insulin Sensitivity in Those with an Elevated Risk of Type 2 Diabetes.

BackgroundPeroxisome proliferator-activated receptor gamma (PPARγ) is an important regulator of metabolic health and a common polymorphism in the PPAR-γ2 gene (PPARG2) may modify associations between lifestyle behaviour and health.ObjectiveTo investigate whether the PPARG2 Pro12Ala genotype modifies the associations of sedentary behaviour and moderate-to-vigorous intensity physical activity (MVPA) with common measures of insulin sensitivity.MethodsParticipants with a high risk of impaired glucose regulation were recruited, United Kingdom, 2010-2011. Sedentary and MVPA time were objectively measured using accelerometers. Fasting and 2-hour post-challenge insulin and glucose were assessed; insulin sensitivity was calculated using Matsuda-ISI and HOMA-IS. DNA was extracted from whole blood. Linear regression examined associations of sedentary time and MVPA with insulin sensitivity and examined interactions by PPARG2 Pro12Ala genotype.Results541 subjects were included (average age = 65 years, female = 33%); 18% carried the Ala12 allele. Both sedentary time and MVPA were strongly associated with HOMA-IS and Matsuda-ISI after adjustment for age, sex, ethnicity, medication, smoking status and accelerometer wear time. After further adjustment for each other and BMI, only associations with Matsuda-ISI were maintained. Every 30 minute difference in sedentary time was inversely associated with a 4% (0, 8%; p = 0.043) difference in Matsuda-ISI, whereas every 30 minutes in MVPA was positively associated with a 13% (0, 26%; p = 0.048) difference. The association of MVPA with Matsuda-ISI was modified by genotype (p = 0.005) and only maintained in Ala12 allele carriers. Conversely, sedentary time was not modified by genotype and remained inversely associated with insulin sensitivity in Pro12 allele homozygotes.ConclusionThe association of MVPA with Matsuda-ISI was modified by PPARG2 Pro12Ala genotype with significant associations only observed in the 18% of the population who carried the Ala12 allele, whereas associations with sedentary time were unaffected.

The Associations Of Objectively-determined Sleep, Sedentary Behavior, And Physical Activity In Older Women

PURPOSE: Older women are at high risk for both inactivity and sleep difficulties. The purpose of this analysis was to examine differences in sedentary time and physical activity by categories of sleep duration and quality in older women. METHODS: Data for this cross-sectional analyses are from the Healthy Women Study 2010–11 follow-up visit and included 145 women (aged 73.3±1.7 years, white=91.5%, BMI=27.6±5.1 kg/m2). Participants wore an ActiGraph GT1M accelerometer (hip) and an Actiwatch-2 (wrist) for 7 consecutive days, to objectively monitor physical activity and sleep, respectively. Average accelerometer count estimates were computed and time spent per day in various intensities levels were determined using Matthews cut-points. Sleep estimates included, total sleep time, sleep efficiency (total sleep time / time in bed × 100), sleep onset latency (SOL; time in bed to sleep onset), and fragmentation index (sleep restlessness). Physical activity and sleep estimates were averaged across valid wear days (≥4 days of ≥10 hours). Sleep estimates were categorized into two groups based on clinical guidelines (i.e., sleep time, sleep efficiency) or sample-determined median (i.e., SOL, sleep fragmentation index). Wilcoxon rank sum tests were used to compare sedentary and physical activity by categories of sleep duration and quality. RESULTS: Participants with ≥ 7 hours of sleep per night had less time spent per day in light-, moderate-, and moderate- to vigorous- intensity physical activity (MVPA) compared to those with < 7 hours of sleep time (all p<0.05). Participants with higher sleep efficiency (i.e., ≥85%) had higher average accelerometer counts and less sedentary time than those with a lower sleep efficiency (both p<0.05). Participants with higher sleep fragmentation (≥27.3) had higher sedentary time than those with lower sleep fragmentation (p<0.001). Differences in physical activity estimates by SOL group (≥ or 0.05). CONCLUSION: These findings do not support other studies demonstrating a beneficial association between higher physical activity levels and sleep duration. However, findings suggest that lower levels of sedentary time was related to higher sleep efficiency and lower sleep fragmentation in older women. Supported by: R01 HL-028226 (PIs: Kuller & Matthews)

Longitudinal levels and bouts of objectively measured sedentary time among young Australian children in the HAPPY study.

To examine differences in sedentary time and bouts during and outside of childcare/school periods, and changes in sedentary time and bouts over 1-year among children who remained in childcare (childcare subsample) and among those who transitioned to school (school transition subsample). Longitudinal study. Results are based on 177 children aged 3-5 years at baseline from the Healthy Active Preschool and Primary Years study in Melbourne, Australia. Sedentary time and sedentary bouts (1-4, 5-9, ≥10min) for total days and during/outside of childcare/school on weekdays were accelerometer-derived at baseline (2008) and 1-year follow-up (2009), when 57% of participants had transitioned to school. Repeated-measures ANCOVAs adjusting for wear time were conducted. Compared to the outside of childcare/school period, children in the school transition subsample spent more time (0.5min/day or 0.9% wear time) in ≥10min sedentary bouts at baseline, participated in 26 more min/day of sedentary time at follow-up, and all participants spent less time (2-16min/day or 2-3% of wear time) in 5-9min sedentary bouts at baseline and follow-up during the childcare/school period (P<0.05). Increases in sedentary time (34-54min/day or 2-3% wear time) and time spent in 1-4min sedentary bouts (18-29min/day or 1-2% of wear time) were observed from baseline to follow-up in both the total sample and school transition sub-sample, for total days and during the childcare/school period (P<0.05). School transition was marked by increased sedentary time. School practices, policies, and environments to reduce sedentary time should be explored.