scholarly journals Calibration and validation of the Youth Activity Profile as a physical activity and sedentary behaviour surveillance tool for English youth

2019 ◽  
Author(s):  
Stuart J Fairclough ◽  
Danielle L Christian ◽  
Pedro F Saint-Maurice ◽  
Paul R Hibbing ◽  
Robert J Noonan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Primary Schools ◽  
Vigorous Physical Activity ◽  
Self Report ◽  
Group Level ◽  
Activity Profile ◽  
The Us ◽  
Youth Activity ◽  
Out Of School

Abstract Background Calibration algorithms applied to the Youth Activity Profile (YAP) self-report questionnaire in the US have accurately estimated moderate-to-vigorous physical activity (MVPA) and sedentary behaviour (SB). However, the efficacy of the calibration algorithms may vary when applied to different populations. We aimed to: (1) assess the accuracy of US-generated YAP calibration algorithms for MVPA and SB with English youth, (2) validate English-specific YAP calibration algorithms, (3) examine their potential surveillance utility to assess compliance to MVPA guidelines. Methods Four primary schools and five secondary schools were recruited. Four-hundred-and-two participants (aged 9-16 years; 212 boys) wore SenseWear Armband Mini devices (SWA) for eight days and completed the YAP on the eighth day. For aim (1) the original US calibration algorithms were applied to the YAP scores, which were matched to SWA-estimated in-school, out-of-school, and weekend MVPA and out-of-school SB data. For aim (2) new calibration algorithms for the equivalent time-segments were generated from the English YAP data using quantile regression. The algorithms were applied in an independent cross-validation sample, and individual- and group-level agreement were assessed using bias, mean absolute percent error (MAPE) and equivalency tests, respectively. For aim (3) the utility of the English YAP algorithms to assess compliance to MVPA guidelines was examined using kappa, sensitivity, and specificity. Results Agreement between the US calibration algorithms and SWA estimates of MVPA and SB was poor. Group-level MAPE for the English YAP-estimates of in-school, out-of-school, and weekend MVPA ranged from 3.6% to 17.3%. Bias for these estimates were 17.2 (34.4), 31.6 (14.0), and -4.9 (3.6) min·week-1, respectively. Out-of-school SB was over-predicted by 109.2 (11.8) min·week-1 (MAPE=11.8%). Predicted YAP values were within 15%-20% equivalence of the SWA estimates. Classification accuracy of the English YAP MVPA estimates for compliance to 60 min·day-1 and 30 min·school-day-1 MVPA recommendations were 91%/37% and 89%/57% sensitivity/specificity, respectively. Conclusions The English YAP generated robust group-level estimates of MVPA and SB and has potential for surveillance to monitor compliance with MVPA guidelines. The YAP’s accuracy may be further improved through research work with more representative UK samples to enhance the calibration process and to refine the resultant algorithms.

scholarly journals Calibration and Validation of the Youth Activity Profile as a Physical Activity and Sedentary Behaviour Surveillance Tool for English Youth

2019 ◽  
Vol 16 (19) ◽  
pp. 3711 ◽  
Author(s):  
Stuart J. Fairclough ◽  
Danielle L. Christian ◽  
Pedro F. Saint-Maurice ◽  
Paul R. Hibbing ◽  
Robert J. Noonan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Cross Validation ◽  
Self Report ◽  
School Level ◽  
Activity Profile ◽  
Sensewear Armband ◽  
Sensitivity Specificity ◽  
Youth Activity ◽  
Out Of School

Self-reported youth physical activity (PA) is typically overestimated. We aimed to calibrate and validate a self-report tool among English youth. Four-hundred-and-two participants (aged 9–16 years; 212 boys) wore SenseWear Armband Mini devices (SWA) for eight days and completed the self-report Youth Activity Profile (YAP) on the eighth day. Calibration algorithms for temporally matched segments were generated from the YAP data using quantile regression. The algorithms were applied in an independent cross-validation sample, and student- and school-level agreement were assessed. The utility of the YAP algorithms to assess compliance to PA guidelines was also examined. The school-level bias for the YAP estimates of in-school, out-of-school, and weekend moderate-to-vigorous PA (MVPA) were 17.2 (34.4), 31.6 (14.0), and −4.9 (3.6) min·week−1, respectively. Out-of-school sedentary behaviour (SB) was over-predicted by 109.2 (11.8) min·week−1. Predicted YAP values were within 15%–20% equivalence of the SWA estimates. The classification accuracy of the YAP MVPA estimates for compliance to 60 min·day−1 and 30 min·school-day−1 MVPA recommendations were 91%/37% and 89%/57% sensitivity/specificity, respectively. The YAP generated robust school-level estimates of MVPA and SB and has potential for surveillance to monitor compliance with PA guidelines. The accuracy of the YAP may be further improved through research with more representative UK samples to enhance the calibration process and to refine the resultant algorithms.

scholarly journals “I am going out!” – lifestyle sports and physical activity in adolescents

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
K. Janeckova ◽  
Z. Hamrik ◽  
M. Matusova ◽  
P. Badura
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Sedentary Behaviour ◽  
Vigorous Physical Activity ◽  
Sociodemographic Factors ◽  
Linear Regression Models ◽  
Great Opportunity ◽  
Sport Activities ◽  
Lifestyle Activities ◽  
Out Of School

Abstract Background Lifestyle sport activities (e.g. parkour or skateboarding) are considered attractive and beneficial for a long-term commitment to physical activity (PA) and might be a great opportunity for adolescents who do not feel comfortable in an organized or competitive atmosphere. The purpose of the study was to assess whether participation in lifestyle activities is associated with moderate-to-vigorous physical activity (MVPA), out-of-school vigorous physical activity (VPA), and sedentary behaviour in adolescents aged 10–15 years, with major demographic variables (sex, age, socioeconomic status) being taken into account. Methods Data from a research project linked to the Health Behaviour in School-aged Children (HBSC) survey collected in 2017 in the Czech Republic was used. The sample consisted of 679 participants (303 of them girls) and was selected by quota sampling. Chi-square tests were used to assess differences in involvement in lifestyle activities according to sex, grade, and socioeconomic status. Ordinal and linear regression models were used to analyse the associations of participation in lifestyle activities and selected energy balance-related behaviours. Results Participation in lifestyle sport activities was significantly associated with a higher level of physical activity (MVPA and out-of-school VPA) after adjustment for sociodemographic factors, as was participation in organized sport. No significant associations were shown for sedentary behaviour. Conclusions Adolescents participating in lifestyle sport activities report being more physically active and, in case of doing multiple such activities concurrently, also spending less time sitting than their peers not involved in lifestyle sport activities. As such, lifestyle sport activities seem to represent a feasible way of increasing overall PA level in adolescent population.

Physiological and health implications of a sedentary lifestyle

2010 ◽  
Vol 35 (6) ◽  
pp. 725-740 ◽  
Author(s):  
Mark Stephen Tremblay ◽  
Rachel Christine Colley ◽  
Travis John Saunders ◽  
Genevieve Nissa Healy ◽  
Neville Owen
Keyword(s):  
Physical Activity ◽  
Health Outcomes ◽  
Sedentary Behaviour ◽  
Vigorous Physical Activity ◽  
Exercise Physiology ◽  
Self Report ◽  
Future Research ◽  
Major Health ◽  
Sedentary Behaviours ◽  
Key Terms

Sedentary behaviour is associated with deleterious health outcomes, which differ from those that can be attributed to a lack of moderate to vigorous physical activity. This has led to the field of “sedentary physiology”, which may be considered as separate and distinct from exercise physiology. This paper gives an overview of this emerging area of research and highlights the ways that it differs from traditional exercise physiology. Definitions of key terms associated with the field of sedentary physiology and a review of the self-report and objective methods for assessing sedentary behaviour are provided. Proposed mechanisms of sedentary physiology are examined, and how they differ from those linking physical activity and health are highlighted. Evidence relating to associations of sedentary behaviours with major health outcomes and the population prevalence and correlates of sedentary behaviours are reviewed. Recommendations for future research are proposed.

scholarly journals Understanding physical activity and sedentary behaviour among preschool-aged children in Singapore: a mixed-methods approach

BMJ Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. e030606
Author(s):  
Bozhi Chen ◽  
Clarice N Waters ◽  
Thomas Compier ◽  
Leonie Uijtdewilligen ◽  
Nicholas A Petrunoff ◽  
...  
Keyword(s):  
Physical Activity ◽  
Mixed Methods ◽  
Sedentary Behaviour ◽  
Vigorous Physical Activity ◽  
Cross Sectional ◽  
Active Play ◽  
Mixed Methods Approach ◽  
School Settings ◽  
Out Of School ◽  
Preschool Aged Children

ObjectivesThis study investigated physical activity (PA) and sedentary behaviour (SB) among preschool-aged children in Singapore and potential correlates at multiple levels of the socioecological model from in-school and out-of-school settings.DesignA cross-sectional study using a mixed-methods approach.ParticipantsParent–child dyads from six preschools in Singapore.MethodsPA and SB of children (n=72) were quantified using wrist-worn accelerometers for seven consecutive days. Three focus group discussions (FGDs) among 12 teachers explored diverse influences on children’s activities, and System for Observing Play and Leisure Activity in Youth (SOPLAY) assessed PA environment and children’s activity levels at preschools. Seventy-three parents completed questionnaires on home and neighbourhood factors influencing children’s PA and SB. Descriptive analyses of quantitative data and thematic analysis of FGDs were performed.ResultsBased on accelerometry, children (4.4±1.1 years) spent a median of 7.8 (IQR 6.4–9.0) hours/day in SB, and 0.5 (0.3–0.8) hours/day in moderate-to-vigorous physical activity (MVPA). MVPA was similar throughout the week, and SB was slightly higher on non-school days. In preschools, SOPLAY showed more children engaging in MVPA outdoors (34.0%) than indoors (7.7%), and absence of portable active play equipment. FGDs revealed issues that could restrict active time at preschool, including academic requirements of the central curriculum and its local implementation. The teachers had varying knowledge about PA guidelines and perceived that the children were sufficiently active. In out-of-school settings, parents reported that their children rarely used outdoor facilities for active play and spent little time in active travel. Few children (23.5%) participated in extracurricular sports, but most (94.5%) reported watching screens for 1.5 (0.5–3.0) hours/day.ConclusionMVPA was low and SB was high in preschool-aged children in an urban Asian setting. We identified diverse in-school and out-of-school correlates of PA and SB that should be taken into account in health promotion strategies.

Physical, Policy, and Sociocultural Characteristics of the Primary School Environment are Positively Associated With Children’s Physical Activity During Class Time

2014 ◽  
Vol 11 (3) ◽  
pp. 553-563 ◽  
Author(s):  
Karen Martin ◽  
Alexandra Bremner ◽  
Jo Salmon ◽  
Michael Rosenberg ◽  
Billie Giles-Corti
Keyword(s):  
Physical Activity ◽  
Primary School ◽  
School Environment ◽  
Primary Schools ◽  
Hierarchical Modeling ◽  
Classroom Teacher ◽  
Vigorous Physical Activity ◽  
Self Report ◽  
Class Time ◽  
Children’S Physical Activity

Background:The objective of this study was to develop a multidomain model to identify key characteristics of the primary school environment associated with children’s physical activity (PA) during class-time.Methods:Accelerometers were used to calculate time spent in moderate-to-vigorous physical activity during class-time (CMVPA) of 408 sixth-grade children (mean ± SD age 11.1 ± 0.43 years) attending 27 metropolitan primary schools in Perth Western Australia. Child and staff self-report instruments and a school physical environment scan administered by the research team were used to collect data about children and the class and school environments. Hierarchical modeling identified key variables associated with CMVPA.Results:The final multilevel model explained 49% of CMVPA. A physically active physical education (PE) coordinator, fitness sessions incorporated into PE sessions and either a trained PE specialist, classroom teacher or nobody coordinating PE in the school, rather than the deputy principal, were associated with higher CMVPA. The amount of grassed area per student and sporting apparatus on grass were also associated with higher CMVPA.Conclusion:These results highlight the relevance of the school’s sociocultural, policy and physical environments in supporting class-based PA. Interventions testing optimization of the school physical, sociocultural and policy environments to support physical activity are warranted.

School-based physical activity opportunities in PE lessons and after-school hours: Are they associated with children’s daily physical activity?

2017 ◽  
Vol 25 (1) ◽  
pp. 65-75 ◽  
Author(s):  
Peggy Cheung
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Primary Schools ◽  
Vigorous Physical Activity ◽  
After School ◽  
School Sports ◽  
School Based ◽  
School Sport ◽  
Significant Difference ◽  
School Day

School-based physical activity (PA), including activity during physical education (PE) lessons and after-school hours, is a possible opportunity for increasing children’s daily PA. The purposes of this study were (a) to compare children’s school-based PA levels during PE lessons and after-school hours and (b) to examine whether there is a difference in children’s PA behaviour (moderate-to-vigorous physical activity (MVPA)) and sedentary behaviour on a day which includes school-based PA (i.e. PE class or after-school sports class). The participants were 242 children (mean age = 8.7, SD = 1.6) from five primary schools in Hong Kong. Children’s PA levels were measured using an accelerometer (ActiGraph GT3X) for four school days, and the data were used to derive the duration (min) of MVPA and sedentary behaviour using age-specific criteria. The PA data were grouped according to the school-based PA opportunities, i.e. (a) with a PE lesson (PE day); (b) with an after-school sport class (AFS day); or (c) without school-based PA (N-Act day). The results indicated that the groups differed significantly in daily MVPA [ F (2,108) = 16.62, p < .00] and MVPA during school hours [ F (2,108) = 36.22, p < .00]. There was no significant difference in children’s sedentary behaviour with school-based PA participation. The present study confirmed the contribution of school-based PA opportunities to children’s MVPA in the school day, while sedentary behaviour may not necessarily be reduced.

scholarly journals Association of daily composition of physical activity and sedentary behaviour with incidence of cardiovascular disease in older adults

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Manasa S. Yerramalla ◽  
Duncan E. McGregor ◽  
Vincent T. van Hees ◽  
Aurore Fayosse ◽  
Aline Dugravot ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behaviour ◽  
Cox Regression ◽  
Vigorous Physical Activity ◽  
Movement Behaviour ◽  
Cvd Risk ◽  
Daily Movement ◽  
Intensity Physical Activity ◽  
Current Duration

Abstract Background Moderate-to-vigorous physical activity (MVPA) is proposed as key for cardiovascular diseases (CVD) prevention. At older ages, the role of sedentary behaviour (SB) and light intensity physical activity (LIPA) remains unclear. Evidence so far is based on studies examining movement behaviours as independent entities ignoring their co-dependency. This study examines the association between daily composition of objectively-assessed movement behaviours (MVPA, LIPA, SB) and incident CVD in older adults. Methods Whitehall II accelerometer sub-study participants free of CVD at baseline (N = 3319, 26.7% women, mean age = 68.9 years in 2012–2013) wore a wrist-accelerometer from which times in SB, LIPA, and MVPA during waking period were extracted over 7 days. Compositional Cox regression was used to estimate the hazard ratio (HR) for incident CVD for daily compositions of movement behaviours characterized by 10 (20 or 30) minutes greater duration in one movement behaviour accompanied by decrease in another behaviour, while keeping the third behaviour constant, compared to reference composition. Analyses were adjusted for sociodemographic, lifestyle, cardiometabolic risk factors and multimorbidity index. Results Of the 3319 participants, 299 had an incident CVD over a mean (SD) follow-up of 6.2 (1.3) years. Compared to daily movement behaviour composition with MVPA at recommended 21 min per day (150 min/week), composition with additional 10 min of MVPA and 10 min less SB was associated with smaller risk reduction – 8% (HR, 0.92; 95% CI, 0.87–0.99) – than the 14% increase in risk associated with a composition of similarly reduced time in MVPA and more time in SB (HR, 1.14; 95% CI, 1.02–1.27). For a given MVPA duration, the CVD risk did not differ as a function of LIPA and SB durations. Conclusions Among older adults, an increase in MVPA duration at the expense of time in either SB or LIPA was found associated with lower incidence of CVD. This study lends support to public health guidelines encouraging increase in MVPA or at least maintain MVPA at current duration.

Sign in / Sign up

Export Citation Format

Share Document