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Abstract Background Identifying leisure time activities performed before and after school that influence time in physical activity (PA) and/or time spent sedentary can provide useful information when designing interventions aimed to promote an active lifestyle in young people. The purpose of this study was to examine associations between mode of transportation to school, outdoor play after school, participation in exercise in clubs, and TV viewing with objectively assessed PA and sedentary behaviour in children. Methods A total of 1327 nine- and 15-year-old children from three European countries (Norway, Estonia, Portugal) participated as part of the European Youth Heart Study. PA was measured during two weekdays and two weekend days using the MTI accelerometer, and average percent of time in moderate-to-vigorous PA (MVPA) and time spent sedentary were derived. Potential correlates were assessed by self-report. Independent associations between self-reported correlates with percent time in MVPA and percent time sedentary were analysed by general linear models, adjusted by age, gender, country, measurement period, monitored days and parental socio-economic status. Results In 9-year-olds, playing outdoors after school was associated with higher percent time in MVPA (P < 0.01), while participation in sport clubs was associated with higher percent time in MVPA (P < 0.01) in 15-year-olds. No associations with percent time sedentary were observed in either age group. Conclusion Frequency of outdoor play after school is a significant correlate for daily time in MVPA in 9-year-olds, while this correlate is attenuated in favour of participation in sport and exercise in clubs in 15-year-olds. Targeting walking to school or reduced TV viewing time in order to increase time in daily MVPA in children is unlikely to be sufficient. Correlates related to time spent sedentary need further examination.

Abstract Background There is a large increase in back pain reporting in the early teens. In no previous study has the prevalence of low back pain been investigated in relation to the onset of puberty. The objective of this study was to establish whether the onset of puberty is associated with back pain reporting in young girls. Methods A subsample of 254 girls aged 8–10 years and 165 girls aged 14–16 years from a cross-sectional survey of 481 children aged 8–10 years and 325 adolescents aged 14–16 years of both sexes. Main outcome measures were back pain defined as low back pain, mid back pain, and/or neck pain in the past month. Other variables of interest were Puberty (five different stages), age, body mass index, and smoking. Independent information on onset of puberty was obtained through a physical examination and on back pain through an individual structured interview. The association was studied between onset of puberty and the outcome variable (the one month period prevalence of back pain), controlling for overweight, and smoking. Odds ratios with 95% confidence intervals were used to describe bivariate associations, logistic regression with robust standard errors was used for multivariate analyses. Results There is a highly significant trend for increased back pain reporting with increasing level of puberty until maturity is reached. The biggest leap appears between the second level (beginning of puberty) and the third level (mid puberty) and the findings remain after controlling for the covariates. These results emanate from the low back, whereas pain in the mid back and neck do not seem to be linked with pubertal stage. Conclusion In girls, the reporting of low back pain increases in frequency during puberty until maturity, regardless of age. Why some girls are susceptible to back pain in the early stage of puberty is unknown.

Objectives: We aimed to examine the relationship between cycling (particularly commuter cycling) and risk factors associated with cardiovascular diseases (CVDs) including body composition, blood lipids and cardiorespiratory fitness. This study differed from our recent (Part 1) systematic review in that risk factors for CVD were analysed as continuous variables rather than being present or absent.Design: Systematic review and meta-analysis.Eligibility Criteria: We searched four databases (Web of Science, MEDLINE, SPORTDiscus and Scopus). All quantitative studies, published until August 2017, were included when a general population was investigated, cycling was assessed either in total or as a transportation mode, and CVD risk factors were reported.Methods: We analysed body composition, physical activity (PA), cardiorespiratory fitness (CRF), blood lipids and blood pressure (BP). Skinfold, waist circumference and body mass index were analysed and prioritised in that order when more than one measure were available. PA included measures of counts per minutes, moderate-to-vigorous PA or minutes per week. CRF included results of maximal tests with or without expired air or submaximal test. For blood lipids and BP, separate analyses were run for low-density and high-density lipoprotein, triglycerides, total cholesterol, systolic BP and diastolic BP. Studies were excluded when reporting dichotomous outcomes or when cycling and walking were combined. Heterogeneity was investigated using I2.Results: Fifteen studies were included; the majority reported commuter cycling. In total, we included 5775 cyclists and 39 273 non-cyclists. Cyclists had more favourable risk factor levels in body composition -0.08 (95% CI -0.13 to -0.04), PA 0.13 (95% CI 0.06 to 0.20), CRF 0.28 (95% CI 0.22 to 0.35) and blood lipids compared with non-cyclists. There was no sex difference in risk reduction.Conclusion/implication: Cycling mitigated the risk factor profile for CVD. A strength of this systematic review is that all the risk factors were analysed as continuous variables. These data provide evidence for practitioners, stakeholders, policy-makers and city planners to accommodate and promote cycling.Systematic Review Registration: PROSPERO CRD42016052421. [ABSTRACT FROM AUTHOR]

Objectives: Physical inactivity is a risk factor for cardiovascular disease (CVD). Cycling as a physical activity holds great potential to prevent CVD. We aimed to determine whether cycling reduces the risk of CVD and CVD risk factors and to investigate potential dose-response relationships.Design: Systematic review and meta-analysis of quantitative studies.Eligibility Criteria For Selecting Studies: We searched four databases (Web of Science, MEDLINE, SPORTDiscus and Scopus). All quantitative studies, published until August 2017, were included when a general population was investigated, cycling was assessed either in total or as a transportation mode, and CVD incidence, mortality or risk factors were reported. Studies were excluded when they reported continuous outcomes or when cycling and walking were combined in them. We pooled adjusted relative risks (RR) and OR. Heterogeneity was investigated using I.Results: The search yielded 5174 studies; 21 studies which included 1,069,034 individuals. We found a significantly lower association in combined CVD incidence, mortality and physiological risk factors with total effect estimate 0.78 (95% CI (CI): 0.74-0.82; P<0.001; I2=58%). Separate analyses for CVD incidence, mortality and risk factors showed estimates of RR 0.84 (CI, 0.80 to 0.88; P<0.001; I2=29%), RR 0.83 (CI, 0.76 to 0.90; P<0.001; I2=0%), and OR 0.75 (CI, 0.69 to 0.82; P<0.001; I2=66%), respectively. We found no dose-response relationship or sex-specific difference.Conclusions: Any form of cycling seems to be associated with lower CVD risk, and thus, we recommend cycling as a health-enhancing physical activity.Systematic Review Registration: Prospero CRD42016052421. [ABSTRACT FROM AUTHOR]

Background: Globally most children do not engage in enough physical activity. Day length and weather conditions have been identified as determinants of physical activity, although how they may be overcome as barriers is not clear. We aim to examine if and how relationships between children's physical activity and weather and day length vary between countries and identify settings in which children were better able to maintain activity levels given the weather conditions they experienced. Methods: In this repeated measures study, we used data from 23,451 participants in the International Children's Accelerometry Database (ICAD). Daily accelerometer-measured physical activity (counts per minute; cpm) was matched to local weather conditions and the relationships assessed using multilevel regression models. Multilevel models accounted for clustering of days within occasions within children within study-cities, and allowed us to explore if and how the relationships between weather variables and physical activity differ by setting. Results: Increased precipitation and wind speed were associated with decreased cpm while better visibility and more hours of daylight were associated with increased cpm. Models indicated that increases in these variables resulted in average changes in mean cpm of 7.6/h of day length, -13.2/cm precipitation, 10.3/10 km visibility and -10.3/10kph wind speed (all p < 0.01). Temperature showed a cubic relationship with cpm, although between 0 and 20 degrees C the relationship was broadly linear. Age showed interactions with temperature and precipitation, with the associations larger among younger children. In terms of geographic trends, participants from Northern European countries and Melbourne, Australia were the most active, and also better maintained their activity levels given the weather conditions they experienced compared to those in the US and Western Europe. Conclusions: We found variation in the relationship between weather conditions and physical activity between ICAD studies and settings. Children in Northern Europe and Melbourne, Australia were not only more active on average, but also more active given the weather conditions they experienced. Future work should consider strategies to mitigate the impacts of weather conditions, especially among young children, and interventions involving changes to the physical environment should consider how they will operate in different weather conditions. [ABSTRACT FROM AUTHOR]

Background: Active transportation to school has been positively associated with various health parameters whereas only sparse evidence exists on risk of injury while commuting to school. This study investigated the overall effectiveness of cycling promotion combined with structural changes on cycling to school.Methods: Interventions at public schools in three different regions in Denmark were based on planned infrastructural changes near schools (e.g. road surface and traffic regulation) and school-motivation for promoting commuter cycling. Participants were pupils from control schools (n = 12) or intervention schools (n = 13). All children (n = 2415) from the 4(th) and 5(th) grade were measured at baseline during spring 2010 and at follow-up one year later.Results: No significant differences in commuter cycling were detected in the adjusted analyses comparing the intervention with the control group neither when assessed as changes in short term (beta: 0.15 trips/week, p = 0.463) nor when assessed as changes in long term school cycling (beta: -0.02 units, p = 0.485). No differences were observed neither in the incidence of traffic injuries nor in the characteristics of injuries when comparing the control group and the intervention group. Approximately 50 % of all traffic injuries occurred during school transport with most injuries categorized as solo injuries. The only significant predictor of future traffic injuries was previous school transport injuries.Conclusion: This multifaceted school cycling promotion programme did not affect school cycling behaviour or the health parameters assessed. Implementation issues relevant in the planning of future school cycling interventions are discussed in the article. The one year incidence of being involved in a traffic injury was approximately 25 % with almost 50 % of all traffic injuries occurred during school transport. Previous school transport injury predicted future school traffic injuries. [ABSTRACT FROM AUTHOR]

Background and aim: No prospective studies have investigated the association between physical activity (PA) and carotid subclinical cardiovascular disease across childhood. Therefore, the primary aim was to investigate the association between PA intensity across childhood and carotid intima media thickness (cIMT) and stiffness in adolescence. Second, we included a clustered cardiovascular disease risk score as outcome. Methods: This was a prospective study of a sample of 254 children (baseline age 8–10 years) with a 6-year follow-up. The mean exposure and the change in minutes of moderate-and-vigorous and vigorous PA intensity were measured using the Actigraph activity monitor. Subclinical cardiovascular disease was expressed as cIMT, carotid arterial stiffness and secondarily as a metabolic risk z-score including the homoeostasis model assessment score of insulin resistance, triglycerides, total cholesterol to high-density lipoprotein ratio, inverse of cardiorespiratory fitness, systolic blood pressure and the sum of four skinfolds. Results: No associations were observed between PA intensity variables and cIMT or carotid arterial stiffness ( p>0.05). Neither change in PA intensity (moderate-andvigorous nor vigorous) nor mean minutes of moderateand- vigorous PA intensity was associated to the metabolic risk z-score in adolescence ( p>0.05). However, a significant inverse association was observed between mean minutes of vigorous PA and the metabolic risk z-score in adolescence independent of gender and biological maturity (standard β=–0.19 p=0.007). Conclusions: A high mean exposure to, or changes in, minutes spent at higher PA intensities across childhood was not associated to cIMT or stiffness in the carotid arteries in adolescence. Our observations suggest that a high volume of vigorous PA across childhood independently associated with lower metabolic cardio vascular disease risk in adolescence. [ABSTRACT FROM AUTHOR]

Copyright of Brazilian Journal of Kineanthropometry & Human Performance is the property of Brazilian Journal of Kineanthropometry & Human Performance and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background To validate physical activity estimates by the Sensewear Pro3 activity monitor compared with indirect calorimetry during simulated free living in patients diagnosed with osteoarthritis of the hip pre or post total hip arthroplasty. Methods Twenty patients diagnosed with hip osteoarthritis (10 pre- and 10 post total hip arthroplasty; 40% female; age: 63.3 ± 9.0; BMI: 23.7 ± 3.7). All patients completed a 2 hour protocol of simulated free living with 8 different typical physical activity types. Energy consumption (kcal/min) was estimated by the Sense Wear pro3 Armband activity monitor and validated against indirect calorimetry (criterion method ) by means of a portable unit (Cosmed K4b2). Bias and variance was analyzed using functional ANOVA. Results Mean bias during all activities was 1.5 Kcal/min 95%CI [1.3; 1.8] corresponding to 72% (overestimation). Normal gait speed showed an overestimation of 2.8 Kcal/min, 95%CI [2.3; 3.3] (93%) while an underestimation of -1.1 Kcal/min, 95%CI [-1.8;-0.3] (-25%) was recorded during stair climb. Activities dominated by upper body movements showed large overestimation with 4.37 Kcal/min, 95%CI [3.8; 5.1] (170%) being recorded during gardening. Both bias and variance appeared to be dependent on activity type. Conclusion The activity monitor generally overestimated the energy consumption during common activities of low to medium intensity in the patient group. The size and direction of the bias was highly dependent on the activity type which indicates the activity monitor is of limited value in patients with hip osteoarthritis and that the results do not express the real energy expenditure. [ABSTRACT FROM AUTHOR]

Background Strategies for combating increasing childhood obesity is called for. School settings have been pointed out as potentially effective settings for prevention. The objective of this paper was to evaluate the effect of four additional Physical Education (PE) lessons/week in primary schools on body composition and weight status in children aged 8–13. Methods Children attending 2nd to 4th grade (n = 632) in 10 public schools, 6 intervention and 4 control schools, participated in this longitudinal study during 2 school years. Outcome measures: Primary: Body Mass Index (BMI) and Total Body Fat percentage (TBF%) derived from Dual Energy X ray Absorptiometry (DXA). Secondary: the moderating effect of overweight/obesity (OW/OB) and adiposity based on TBF% cut offs for gender. Results Intervention effect on BMI and TBF% (BMI: β -0.14, 95% CI: -0.33; 0.04, TBF%: β -0.08, 95% CI:-0.65;0.49) was shown insignificant. However, we found significant beneficial intervention effect on prevalence of OW/OB based on BMI (OR 0.29, 95% CI: 0.11;0.72). The intervention effect on adiposity based on TBF% cut offs was borderline significant (OR 0.64, 95% CI:0. 39; 1.05). Conclusion Four additional PE lessons/week at school can significantly improve the prevalence of OW/OB in primary schoolchildren. Mean BMI and TBF% improved in intervention schools, but the difference with controls was not significant. The intervention had a larger effect in children who were OW/OB or adipose at baseline. [ABSTRACT FROM AUTHOR]

The article presents information on a report on the global physical activity levels. It includes data for adults from 122 countries and for adolescents from 105 countries. According to the report, 31.1 percent of adults in the World are physically inactive with proportions ranging from 17 percent in Southeast Asia to approximately 43 percent in the Americas and the eastern Mediterranean. INSETS: Key messages;Panel 1: Physical activity surveillance in the USA;Panel 2: The WHO STEPwise approach to chronic….

Our objective was to examine the influence of adult and childhood socioeconomic status (SES) on attained adult food intake patterns. We used data from a 20- to 22-y follow-up study of 1904 Danish teenagers. The baseline survey was conducted partly in 1983 and partly in 1985 and the follow-up survey was conducted in 2005. Dietary data were collected at follow-up using a 195-item FF0. Food patterns were derived from principal component analysis. Two food patterns labeled "traditional-western food pattern" and "green food pattern" were identified. In men, adult SES was inversely associated with adherence to the traditional-western food pattern. High adherence to the green food pattern was positively related to high adult SES in both sexes. Among women, those with high SES in childhood had higher green food pattern factor scores than those with low childhood SES, regardless of adult SES. Among men, those with high adult SES had higher green food pattern factor scores than those with low adult SES, regardless of childhood SES. In conclusion, socioeconomic position is important for the development of adult food intake patterns. However, childhood SES seems more important for adult female food intake patterns, whereas adult SES seems more important for adult male food intake patterns. [ABSTRACT FROM AUTHOR]

Copyright of European Physical Education Review is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The combination of heart rate (HR) monitoring and movement registration may improve measurement precision of physical activity energy expenditure (PAEE). Previous attempts have used either regression methods, which do not take full advantage of synchronized data, or have not used movement data quantitatively. The objective of the study was to assess the precision of branched model estimates of PAEE by utilizing either individual calibration (IC) of HR and accelerometry or corresponding mean group calibration (GC) equations. In 12 men (20.6-25.2 kg/m²), IC and GC equations for physical activity intensity (PAI) were derived during treadmill walking and running for both HR (Polar) and hip acceleration [Computer Science and Applications (CSA)]. HR and CSA were recorded minute by minute during 22 h of whole body calorimetry and converted into PAl in four different weightings (P[sub 1-4]) of the HR vs. the CSA (1-P[sub 1-4]) relationships: if CSA > x, we used the P[sub 1] weighting if HR > y, otherwise P[sub 2]. Similarly, if CSA ≤ x, we used P[sub 3] if HR > z, otherwise P[sub 4]. PAEE was calculated for a 12.5-h nonsleeping period as the time integral of PAI. A priori, we assumed P[sub 1] = 1, P[sub 2] = P[sub 3] = 0.5, P[sub 4] = 0, x = 5 counts/min, y = walking/ running transition HR, and z = flex HR. These parameters were also estimated post hoc. Means ± SD estimation errors of a priori models were -4.4 ± 29 and 3.5 ± 20% for IC and GC, respectively. Corresponding post hoc model errors were -1.5 ± 13 and 0.1 ± 9.8%, respectively. All branched models had lower errors (P ≤ 0.035) than single-measure estimates of CSA (less than or equal to -45%) and HR (≥39%), as well as their nonbranched combination (≤25.7%). In conclusion, combining HR and CSA by branched modeling improves estimates of PAEE. IC may be less crucial with this modeling technique. [ABSTRACT FROM AUTHOR]

From 4 to 7 April 2016, 24 researchers from 8 countries and from a variety of academic disciplines gathered in Snekkersten, Denmark, to reach evidence-based consensus about physical activity in children and youth, that is, individuals between 6 and 18 years. Physical activity is an overarching term that consists of many structured and unstructured forms within school and out-of-school-time contexts, including organised sport, physical education, outdoor recreation, motor skill development programmes, recess, and active transportation such as biking and walking. This consensus statement presents the accord on the effects of physical activity on children's and youth's fitness, health, cognitive functioning, engagement, motivation, psychological well-being and social inclusion, as well as presenting educational and physical activity implementation strategies. The consensus was obtained through an iterative process that began with presentation of the state-of-the art in each domain followed by plenary and group discussions. Ultimately, Consensus Conference participants reached agreement on the 21-item consensus statement. [ABSTRACT FROM AUTHOR]

The article presents information on a report on the evidence-based intervention in physical activity. It includes effective, promising and emerging public health interventions from around the world. According to the report, behavioural and social approaches support the physical activity within communities and school-based strategies including education, classroom activities and after-school sports. INSETS: Key messages;Panel: Community tasks that lead to successful interventions.

Study Design: A cross-sectional study of 9413 adolescents., Objectives: To study the associations between back pain, physical activity, and physical fitness., Summary of Background Data: A high physical fitness level, and especially muscle endurance in the back muscles, is associated with lower risk of back pain, but little is known about other types of physical fitness and back pain in adolescents., Methods: A cross-sectional study of 3956 boys and 5457 girls 17 years of age. The associations between self-reported back pain and different types of physical fitness and self-reported physical activity were analyzed in high schoolchildren in Denmark., Results: Back pain was reported by 43% of the girls and 37% of the boys. Back pain was associated with low isometric muscle endurance in the back extensors, and the highest quartile had a lower risk of back pain (odds ratio = 0.71; 95% confidence interval, 0.62-0.82) within the last month. No associations were found to aerobic fitness, functional strength, flexibility, or physical activity level after adjustment for muscle endurance. More girls than boys experienced back pain, and it was more common in taller adolescents., Conclusion: Children with high isometric muscle endurance were less likely to report back pain. No other measures of physical fitness or level of self-reported physical activity were linked to back pain reporting.

Study Design: A cross-sectional survey of 481 children aged 8-10 years and 325 adolescents aged 14-16 years obtained through a proportional two-stage cluster sample of children living in Odense, Denmark., Objectives: To investigate whether there are any associations between back pain and the level of self-reported physical activity, the level of self-reported physical inactivity, and the level of objectively measured physical activity. In addition, to test the validity of the self-reported physical activity data., Summary of Background Data: A sedentary lifestyle in children is believed to be harmful for the back, whereas moderate physical activities are supposed to be beneficial. There is no obvious epidemiologic evidence in favor of this concept. In none of the previous studies has the combined activity/inactivity pattern been investigated, nor has the amount of physical activity been measured objectively., Methods: The associations and dose-response connections for back pain, mid back pain, and low back pain in the preceding month were studied in relation to self-reported physical activity and physical inactivity. In addition, an objective and validated method to measure the daily level of physical activity (the accelerometer) was used to establish the associations with the same outcome variables. The association between the level of self-reported activities and the accelerometer was investigated., Results: The self-reported data resulted in mixed findings, but there were no associations between any of the three pain variables and the readings from the accelerometer, and no changes occurred after adjustment for age, gender, and puberty stage. There was a weak and inconsistent correlation (0.25) between the accelerometer readings and self-reported physical activity that nevertheless tested significantly for trend but none between the accelerometer readings and the level of self-reported physical inactivity., Conclusions: There is no obvious association between the objectively measured level of physical activity and back pain in children and adolescents. Simple self-reported levels of physical activity and inactivity cannot be used meaningfully on young people in back pain research.