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Does light-intensity physical activity moderate the relationship between sitting time and adiposity markers in adolescents? 被引量:2
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作者 Ana María Contardo Ayala Jo Salmon +2 位作者 david w.dunstan Lauren Arundell Anna Timperio 《Journal of Sport and Health Science》 SCIE 2022年第5期613-619,共7页
Background:While the relationship between sedentary time and adiposity markers may be independent of moderate-to-vigorous intensity physical activity(MVPA) among adolescents,little is known about the role of light-int... Background:While the relationship between sedentary time and adiposity markers may be independent of moderate-to-vigorous intensity physical activity(MVPA) among adolescents,little is known about the role of light-intensity physical activity(LIPA) in this relationship.The aim of this cross-sectional study was to examine whether device-measured LIPA and MVPA moderate the associations between objectively measured sitting time and adiposity markers(body mass index(BMI)) and waist circumference(WC)) among adolescents.Methods:This study included accelerometer and inclinometer data obtained from 219 adolescents(age=14.9±1.6 years,mean± SD),collected during 2014 and 2015 in Melbourne,Australia.ActiGraph GT3 X accelerometers were used to determine time spent in total-LIPA(101 counts/min to 3.99 metabolic equivalents(METs)) was dichotomized into low-LIPA(101-799 counts/min) and high LIPA(800 counts/min to 3.99 METs),and MVPA(> 4 METs).The average time spent sitting was obtained from activPAL inclinometers.Anthropometric measures were assessed by trained staff.Interactions between sitting and total-LIPA,low-LIPA,high-LIPA,and MVPA on BMI z-score(zBMI) and WC z-score(zWC),respectively,were examined using linear regression,adjusting for age and sex;and moderation by total-LIPA,low-LIPA,high-LIPA,and MVPA were examined by adding interaction terms.Significant interaction effects were probed by comparing associations at the mean and at 1 SD below and above the mean.Results:Total-LIPA significantly moderated the association between sitting time and zBMI,and low-LIPA significantly moderated the association between sitting time and zBMI and zWC.No other associations were found for total-LIPA,high-LIPA,or MVPA.Specifically,at high levels of total-LIPA(+1 SD),there is a negative association between sitting time and zBMI.In addition,at high levels of low-LIPA(+1 SD),there is a negative association between sitting time and zBMI and zWC.Conclusion:Associations between sitting and adiposity depended on time spent in total-LIPA and low-LIPA,but not high-LIPA or MVPA.Results suggest that increasing time spent in LIP A may provide protection from the deleterious effects of sitting on adiposity markers among adolescents.Experimental evidence is needed to support these conclusions. 展开更多
关键词 Adolescents Anthropometric measures OBESITY Physical activity Sedentary behavior Sitting time
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Considerations when using the activPAL monitor in field-based research with adult populations 被引量:6
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作者 Charlotte L.Edwardson Elisabeth A.H.Winkler +4 位作者 Danielle H.Bodicoat Tom Yates Melanie J.Davies david w.dunstan Genevieve N.Healy 《Journal of Sport and Health Science》 SCIE 2017年第2期162-178,共17页
Research indicates that high levels of sedentary behavior(sitting or lying with low energy expenditure) are adversely associated with health. A key factor in improving our understanding of the impact of sedentary beha... Research indicates that high levels of sedentary behavior(sitting or lying with low energy expenditure) are adversely associated with health. A key factor in improving our understanding of the impact of sedentary behavior(and patterns of sedentary time accumulation) on health is the use of objective measurement tools that collect date and time-stamped activity information. One such tool is the activP AL monitor. This thigh-worn device uses accelerometer-derived information about thigh position to determine the start and end of each period spent sitting/lying, standing, and stepping, as well as stepping speed, step counts, and postural transitions. The activP AL is increasingly being used within field-based research for its ability to measure sitting/lying via posture. We summarise key issues to consider when using the activP AL in physical activity and sedentary behavior field-based research with adult populations. It is intended that the findings and discussion points be informative for researchers who are currently using activP AL monitors or are intending to use them. Pre-data collection decisions, monitor preparation and distribution, data collection considerations, and manual and automated data processing possibilities are presented using examples from current literature and experiences from 2 research groups from the UK and Australia. 展开更多
关键词 populations monitor lying collection accelerometer expenditure Australia stepping currently intended
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The impact of height-adjustable desks and classroom prompts on classroom sitting time,social,and motivational factors among adolescents
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作者 Bronwyn Sudholz Ana Marıa Contardo Ayala +6 位作者 Anna Timperio david w.dunstan david E.Conroy Gavin Abbott Bernie Holland Lauren Arundell Jo Salmon 《Journal of Sport and Health Science》 SCIE CSCD 2023年第1期97-105,共9页
Purpose:This quasi-experimental study examined the impact of height-adjustable desks in combination with prompts to break up prolonged sitting time during class time and identified social and motivational factors asso... Purpose:This quasi-experimental study examined the impact of height-adjustable desks in combination with prompts to break up prolonged sitting time during class time and identified social and motivational factors associated with breaking up sitting time among adolescents.Teachers’perceptions of strategies were also examined.Methods:Over 17 weeks,1 classroom in a government secondary school in Melbourne,Australia,was equipped with 27 height-adjustable desks and prompts(posters and desk stickers)to break up classroom sitting time.Teachers received professional development in the use of the desks and prompts.One group of adolescents(n=55)had 2-5 lessons/week using the height-adjustable desks in an intervention classroom,and a comparison group matched by year level and subject(n=50)was taught in traditional“seated”classrooms.Adolescents wore an activPAL monitor at baseline(T0),4 weeks(T1),and 17 weeks(T2)and completed a survey at T0 and T2.Six teachers participated in interviews at T2.Effect sizes were calculated(d).Results:Linear mixed models found that,compared to the traditional“seated”classrooms,the adolescents in the intervention classroom had significantly lower sitting time(T1:-9.7 min/lesson,d=-0.96;T2:-6.7 min/lesson,d=-0.70)and time spent in sitting bouts>15 min(T2:-11.2 min/lesson,d=-0.62),and had significantly higher standing time(T1:7.3 min/lesson,d=0.84;T2:5.8 min/lesson,d=0.91),number of breaks from sitting(T1:1.3 breaks/lesson,d=0.49;T2:1.8 breaks/lesson,d=0.67),and stepping time(T1:2.5 min/lesson,d=0.66).Intervention classroom adolescents reported greater habit strength(d=0.58),self-efficacy for breaking up sitting time(d=0.75),and indicated that having a teacher/classmate remind them to stand as helpful(d=0.50).Conclusion:This intervention shows promise for targeting sitting behaviors in the classroom and indicates that incorporating social and motivational strategies may further enhance outcomes. 展开更多
关键词 ADOLESCENT School Sedentary behavior SITTING STANDING
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Using compositional data analysis to explore accumulation of sedentary behavior,physical activity and youth health
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作者 Simone J.J.M.Verswijveren Karen E.Lamb +11 位作者 Josep A.Martín-Fernández Elisabeth Winkler Rebecca M.Leech Anna Timperio Jo Salmon Robin M.Daly Ester Cerin david w.dunstan Rohan M.Telford Richard D.Telford Lisa S.Olive Nicola D.Ridgers 《Journal of Sport and Health Science》 SCIE 2022年第2期234-243,共10页
Purpose:The study aimed to describe youth time-use compositions,focusing on time spent in shorter and longer bouts of sedentary behavior and physical activity(PA),and to examine associations of these time-use composit... Purpose:The study aimed to describe youth time-use compositions,focusing on time spent in shorter and longer bouts of sedentary behavior and physical activity(PA),and to examine associations of these time-use compositions with cardiometabolic biomarkers.Methods:Accelerometer and cardiometabolic biomarker data from 2 Australian studies involving youths 7-13 years old were pooled(complete cases with accelerometry and adiposity marker data,n=782).A 9-component time-use composition was formed using compositional data analysis:time in shorter and longer bouts of sedentary behavior;time in shorter and longer bouts of light-,moderate-,or vigorous-intensity PA;and"other time"(i.e.,non-wear/sleep).Shorter and longer bouts of sedentary time were defined as<5 min and>5 min,respectively.Shorter bouts of light-,moderate-,and vigorous-intensity PA were defined as<1 min;longer bouts were defined as≥1 min.Regression models examined associations between overall time-use composition and cardiometabolic biomarkers.Then,associations were derived between ratios of longer activity patterns relative to shorter activity patterns,and of each intensity level relative to the other intensity levels and"other time",and cardiometabolic biomarkers.Results:Confounder-adjusted models showed that the overall time-use composition was associated with adiposity,blood pressure,lipids,and the summary score.Specifically,more time in longer bouts of light-intensity PA relative to shorter bouts of light-intensity PA was significantly associated with greater body mass index z-score(zBMI)(β=1.79;SE=0.68)and waist circumference(β=18.35,SE=4.78).When each activity intensity was considered relative to all higher intensities and"other time",more time in light-and vigorous-intensity PA,and less time in sedentary behavior and moderate-intensity PA,were associated with lower waist circumference.Conclusion:Accumulating PA,particularly light-intensity PA,in frequent short bursts may be more beneficial for limiting adiposity compared to accumulating the same amount of PA at these intensities in longer bouts. 展开更多
关键词 Accumulation patterns Cardiometabolic health CHILDREN Compositional data analysis Time-use
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