How do school day activity patterns differ with age and gender across adolescence?

Purpose
A knowledge of how young people use their time could be instrumental in informing health interventions, modeling consumer behaviors, and planning service delivery. The aim of the present study was to describe age- and gender-related patterns in the self-reported use of time on school days in a large sample of Australian children and adolescents aged between 10 and 18 years.

Methods
A single, detailed use-of-time diary for a school day was collected from 6024 Australians aged 10–18 from several state and regional surveys conducted in the states of South Australia (SA) and Victoria between 2001 and 2006. Time–use profiles were analyzed for a range of active and sedentary state behaviors.

Results
Boys reported higher physical activity levels (PALs), moderate-to-vigorous physical activity (MVPA), and sports than girls. There were no differences in free play, and girls used more active transport. All activity-related variables decreased with age, except active transport, which peaked at 14–15 years. Boys exhibited higher levels of screen time, whereas girls had higher levels of passive transport. Screen time and its components (television, videogames, and computer use) peaked in the peripubertal years.

Conclusion
Age- and gender-related patterns of time use vary greatly within adolescence. This may reflect a mix of biological and social factors.

Examining influences on boys' and girls' physical activity patterns: the a-class project

Understanding children’s physical activity (PA) patterns and the factors that may influence PA are important for developing interventions within this population. One hundred and ten children aged 9–0 years from 8 schools had their PA patterns assessed over 7 days. Physiological and self-report data were also collected. Multilevel analyses revealed that cardiorespiratory fitness was a consistent, significant and positive predictor of weekday and weekend PA, while the availability of home sedentary activities was a significant but negative predictor of PA. Since a range of variables were associated with PA levels, intervention developers should be cognizant of variables that may influence children’s activity

School day segmented physical activity patterns of high and low active children

Background

Variability exists in children's activity patterns due to the association with environmental, social, demographic, and inter-individual factors. This study described accelerometer assessed physical activity patterns of high and low active children during segmented school week days whilst controlling for potential correlates.
Methods

Two hundred and twenty-three children (mean age: 10.7 +/- 0.3 yrs, 55.6% girls, 18.9% overweight/obese) from 8 north-west England primary schools wore ActiGraph GT1M accelerometers for 7 consecutive days during autumn of 2009. ActiGraph counts were converted to minutes of moderate (MPA), vigorous (VPA) and moderate-to-vigorous (MVPA) physical activity. Children were classified as high active (HIGH) or low active (LOW) depending on the percentage of week days they accumulated at least 60 minutes of MVPA. Minutes spent in MPA and VPA were calculated for school time and non-school time and for five discrete school day segments (before-school, class time, recess, lunchtime, and after-school). Data were analysed using multi-level modelling.
Results

The HIGH group spent significantly longer in MPA and/or VPA before-school, during class time, lunchtime, and after-school (P < .05), independent of child and school level factors. The greatest differences occurred after-school (MPA = 5.5 minutes, VPA = 3.8 minutes, P < 0.001). MPA and VPA were also associated with gender, BMI z-score, number of enrolled children, playground area per student, and temperature, depending on the segment analysed. The additive effect of the segment differences was that the HIGH group accumulated 12.5 minutes per day more MVPA than the LOW group.
Conclusions

HIGH active children achieved significantly more MPA and VPA than LOW active during four of the five segments of the school day when analyses were adjusted for potential correlates. Physical activity promotion strategies targeting low active children during discretionary physical activity segments of the day, and particularly via structured after-school physical activity programs may be beneficial.

Activity patterns of insectivorous bats and birds in northern Scandinavia (69° N), during continuous midsummer daylight

Previous studies suggest that many species of insectivorous bats are nocturnal, despite the relatively low availability of their insect prey at night, because of the risk of predation by diurnal predatory birds. We hypothesised that if this was the case bats living above the arctic circle would alter their feeding behaviour during midsummer because there would no longer be any benefit to restricting their activity to the period when their prey are least abundant. Alternatively, if bats were more influenced by competition from aerial insectivorous birds they would continue to feed at ‘night’ to avoid such competition. In northern Norway (69° N), during continuous midsummer daylight, insectivorous sand martins (Riparia riparia) concentrated their aerial feeding activity when aerial insects were most abundant. The birds stopped feeding between 23:00 and 07:00 when aerial insects were least abundant. In contrast, northern bats (Eptesicus nilssonii), fed mostly between 22:00 and 02:00, coinciding with the lowest aerial insect availability, and with the period when light levels were lowest (ca 1000 lux). Bat activity patterns were closest to those predicted by the avian competition hypothesis. The low densities of both sand martins and Northern bats in the study area, however, were less consistent with this hypothesis. Possibly populations of both species were higher historically and the observed patterns reflected historical competition. Bat activity was most closely correlated to ambient light levels. This raised two alternative explanations that we could not eliminate. Perhaps there was differential predation risk, between the brightest and darkest parts of the day, because the visual capacities of falcons are strongly dependent on luminance. Alternatively the bats may have been entrained to emerge at given light levels by their behaviour at other times of year.

Activity patterns of free-ranging koalas (Phascolarctos cinereus) revealed by accelerometry

An understanding of koala activity patterns is important for measuring the behavioral response of this species to environmental change, but to date has been limited by the logistical challenges of traditional field methodologies. We addressed this knowledge gap by using tri-axial accelerometer data loggers attached to VHF radio collars to examine activity patterns of adult male and female koalas in a high-density population at Cape Otway, Victoria, Australia. Data were obtained from 27 adult koalas over two 7-d periods during the breeding season: 12 in the early-breeding season in November 2010, and 15 in the late-breeding season in January 2011. Multiple 15 minute observation blocks on each animal were used for validation of activity patterns determined from the accelerometer data loggers. Accelerometry was effective in distinguishing between inactive (sleeping, resting) and active (grooming, feeding and moving) behaviors. Koalas were more active during the early-breeding season with a higher index of movement (overall dynamic body acceleration [ODBA]) for both males and females. Koalas showed a distinct temporal pattern of behavior, with most activity occurring from mid-afternoon to early morning. Accelerometry has potential for examining fine-scale behavior of a wide range of arboreal and terrestrial species.

Validation of a body-worn accelerometer to measure activity patterns in octogenarians

OBJECTIVE: To determine the validity of a triaxial body-worn accelerometer for detection of gait and postures in people aged >80 years. DESIGN: Participants performed a range of activities (sitting, lying, walking, standing) in both a controlled and a home setting while wearing the accelerometer. Activities in the controlled setting were performed in a scripted sequence. Activities in the home setting were performed in an unscripted manner. Analyzed accelerometer data were compared against video observation as the reference measure. SETTING: Independent-living and long-term-care retirement village. PARTICIPANTS: Older people (N=22; mean age ± SD, 88.1±5y) residing in long-term-care and independent-living retirement facilities. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The level of agreement between video observation and the accelerometer for the total duration of each activity, and second-by-second correspondence between video observation and the accelerometer for each activity. RESULTS: The median absolute percentage errors between video observation and the accelerometer were <1% for locomotion and lying. The absolute percentage errors were higher for sitting (median, -22.3%; interquartile range [IQR], -62.8% to 10.7%) and standing (median, 24.7%; IQR, -7.3% to 39.6%). A second-by-second analysis between video observation and the accelerometer found an overall agreement of ≥85% for all activities except standing (median, 56.1%; IQR, 34.8%-81.2%). CONCLUSIONS: This single-device accelerometer provides a valid measure of lying and locomotion in people aged >80 years. There is an error of approximately 25% when discriminating sitting from standing postures, which needs to be taken into account when monitoring longer-term habitual activity in this age group.

Cognitive-behavioural therapy has no effect on disease activity but improves quality of life in subgroups of patients with inflammatory bowel disease: a pilot randomised controlled trial.

BACKGROUND: Studies have demonstrated usefulness of cognitive-behavioural therapy (CBT) in managing distress in inflammatory bowel disease (IBD); however, few have focused on IBD course. The present trial aimed to investigate whether adding CBT to standard treatment prolongs remission in IBD in comparison to standard therapy alone. METHODS: A 2-arm parallel pragmatic randomised controlled trial (+CBT - standard care plus either face-to-face (F2F) or online CBT over 10 weeks versus standard care alone (SC)) was conducted with adult patients in remission. IBD remission at 12 months since baseline was the primary outcome measure while the secondary outcome measures were mental health status and quality of life (QoL). Linear mixed-effect models were used to compare groups on outcome variables while controlling for baseline. RESULTS: Participants were 174 patients with IBD (90 +CBT, 84 SC). There was no difference in remission rates between groups, with similar numbers flaring at 12 months. Groups did not differ in anxiety, depression or coping at 6 or 12 months (p >0.05). When only participants classified as 'in need' (young, high baseline IBD activity, recently diagnosed; poor mental health) were examined in the post-hoc analysis (n = 74, 34 CBT and 40 controls), CBT significantly improved mental QoL (p = .034, d = .56) at 6 months. Online CBT group had a higher score on Precontemplation than the F2F group, which is consistent with less developed coping with IBD in the cCBT group (p = .045). CONCLUSIONS: Future studies should direct psychological interventions to patients 'in need' and attempt to recruit larger samples to compensate for significant attrition when using online CBT. TRIAL REGISTRATION: The protocol was registered on 21/10/2009 with the Australian New Zealand Clinical Trials Registry (ID: ACTRN12609000913279).

Physical activity levels and patterns of 19-month-old children

Purpose: It is a commonly held perception that most young children are naturally active and meet physical activity recommendations. However, there is no scientific evidence available on which to confirm or refute such perceptions. The purpose of this study was to describe the physical activity levels and patterns of Australian toddlers.


Methods: Physical activity and demographic data of two hundred ninety-five 19-month-old children from the Melbourne InFANT Program were measured using accelerometers and parent surveys. Validated cut points of 192–1672 and >1672 counts per minute were used to determine time spent in light- (LPA) and moderate-to-vigorous- (MVPA) intensity physical activity, respectively. To be included in the analysis, children were required to have four valid days of accelerometer data to provide an acceptable (>0.70) reliability estimate of LPA and MVPA. Physical activity data for different periods of the day were examined.


Results: On average, toddlers engaged in 184 min of LPA and 47 min of MVPA daily, and 90.5% met the current Australian physical activity recommendations for 0- to 5-yr-olds (180 min of LPA/MVPA per day). Physical activity levels during mid morning and mid afternoon were higher than those during other periods. Physical activity patterns for boys and girls were similar, although boys engaged in more physical activity during the morning hours than girls did.


Conclusions: Most children meet the physical activity recommendations, although the majority of activity undertaken in the study was of light intensity. Boys were more active than girls were in the morning hours, but there were no differences between sexes over the entire day. Certain periods of the day may hold more promise for intervention implementation than others do.

Risk factors for coronary heart disease among Asian Indians living in Australia

The aim of this study was to assess the coronary heart disease risk factors in the Asian Indian community living in a large city in Australia. A cross-sectional survey was conducted at the Australia India Friendship Fair in 2010. All people of Asian Indian descent who attended the Fair and visited the health promotion stall were eligible to participate in the study if they self-identified as of Asian Indian origin, were aged between 18 and 80 years, and were able to speak English. Blood pressure, blood glucose, waist circumference, height, and weight were measured by a health professional. Smoking, cholesterol levels, and physical activity status were obtained through self-reports. Data were analyzed for 169 participants. More than a third of the participants under the age of 65 years had high blood pressure. Prevalence of diabetes (16%) and obesity (61%) was significantly higher compared with the national average. Ten women identified themselves as smokers. Physical activity patterns were similar to that of the wider Australian population. The study has provided a platform for raising awareness among nurses and promoting advocacy on the cardiovascular risk among Asian Indians. Strategies involving Asian Indian nurses and other Asian Indian health professionals as well as support from the private and public sectors can assist in the reduction of the coronary heart disease risk factors among this extremely susceptible population.

Describing patterns of physical activity in adolescents using global positioning systems and accelerometry

This study aimed to describe the location and intensity of free-living physical activity in New Zealand adolescents during weekdays and weekend days using Global Positioning Systems (GPS), accelerometry, and Geographical Information Systems (GIS). Participants (n = 79) aged 12-17 years (M = 14.5, SD 1.6) recruited from two large metropolitan high schools each wore a GPS watch and an accelerometer for four consecutive days. GPS and accelerometer data were integrated with GIS software to map the main locations of each participant's episodes of moderate-vigorous physical activity. On average participants performed 74 (SD 36) minutes of moderate and 7.5 (SD 8) minutes of vigorous activity per day, which on weekdays was most likely to occur within a 1 km radius of their school or 150 meters of their home environment. On weekends physical activity patterns were more disparate and took place outside of the home environment. Example maps were generated to display the location of moderate to vigorous activity for weekdays and weekends.

Patterns of time use among regional and rural adolescent girls: associations with correlates of physical activity and health-related quality of life

OBJECTIVES: To describe patterns of time use among regional and rural adolescent girls and compare identified clusters with respect to correlates of physical activity (PA) and health-related quality of life (HRQoL).

DESIGN: Cross-sectional PA and lifestyle survey.

METHODS: Data were from Year 7-9 adolescent girls (aged 12-15 years) from 16 schools involved in a cluster-randomised trial in regional and rural Victoria, Australia (n=494). Time use data were collected using 24-h Previous Day Physical Activity Recall (PDPAR-24) questionnaire, collapsed into 17 categories of time use. Differences between time use clusters with regard to demographics, correlates of PA and HRQoL measured using PedsQL 4.0 Generic Core Scales, were investigated.

RESULTS: Two time use clusters were identified and were associated with correlates of PA and HRQoL. Girls who spent significantly more time in teams sports, non-team sports, school classes, watching TV and sleeping had higher levels of positively aligned PA correlates (e.g. self-efficacy, perceived sports competence) and HRQoL than girls characterised with high levels of computer use and video gaming. CONCLUSIONS: These findings highlight how different activity patterns of regional and rural girls affect HRQoL and can inform future intervention strategies to improve PA levels and HRQoL. Clusters characterised by low levels of PA and high computer use and video gaming require targeted interventions to address barriers to their participation.

Physical activity habits, limitations, and predictors in people with inflammatory bowel disease: a large cross-sectional online survey

BACKGROUND: Limited evidence suggests that physical activity has beneficial effects in people with inflammatory bowel disease (IBD). This study aimed to determine the physical activity habits of adults with IBD, the limitations to physical activity they experience because of their disease, and the extent to which their physical activity is affected by various demographic, clinical, and psychological factors. METHODS: Data were collected on 859 adult participants (52% with Crohn's disease, 75% women) through an online survey conducted between May and June 2016. Measures included physical activity (International Physical Activity Questionnaire), psychological symptoms (Hospital Anxiety and Depression Scale), fatigue (subitems of IBD fatigue scale), exercise perceptions (Exercise Benefits/Barriers Scale), and disease activity. Regression analyses were used to identify predictors of physical activity. RESULTS: Only 17% of respondents were categorized as "high active." Self-reported physical activity levels decreased, and fatigue and psychological scores increased, with increasing disease activity. Walking was the most common activity performed (57% of respondents) and running/jogging the most commonly avoided (34%). Many participants (n = 677) reported that IBD limited their physical activity, for reasons including abdominal/joint pain (70%), fatigue/tiredness (69%), disease flare-up (63%), and increased toilet urgency (61%). Physical activity was independently associated with depression, disease activity, and perceived barriers to exercise in people with Crohn's disease, and depression and age in people with ulcerative or indeterminate colitis (all P ≤ 0.038). CONCLUSIONS: This survey highlights several important factors that should be considered by designers of future physical activity interventions for people with IBD.