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Participation in youth sport is assumed to promote and contribute towards more physically active lifestyles among children and adolescents. The aim of this study was to examine inter-participant variability in objectively measured habitual physical activity (PA) behaviours and sedentary time among youth sport participants and their implications for health. One-hundred-and-eighteen male youth sport footballers (Mean ± s = 11.72 ± 1.60) wore a GT3X accelerometer for 7 days. Average daily PA [min · day?1, in light (LPA), moderate (MPA), vigorous (VPA) and combined moderate-to-vigorous (MVPA)] and sedentary time were calculated. Participants’ body mass index adjusted for age and sex (BMI–standard deviation score), per cent body fat (BF%), waist circumference and cardiorespiratory fitness were assessed. Results revealed that variability in daily PA behaviours and sedentary time (min · day?1) was associated with BMI–standard deviation score [VPA (?), MVPA (?)], BF% [sedentary time (+), VPA (?), MVPA (?)], waist circumference [sedentary time (+), LPA (?)] and cardiorespiratory fitness [sedentary time (?), MPA (+), VPA (+), MVPA (+)]. Whilst sedentary time and MVPA were not related to health outcomes independent of one another, associations with markers of adiposity and cardiorespiratory fitness were stronger for sedentary time. Sedentary time was also significantly positively related to waist circumference independent of VPA. Results demonstrate inter-participant variability in habitual PA and sedentary time among youth sport participants which holds implications for their health. Thus, promoting PA and, in particular, reducing sedentary time may contribute towards the prevention of adverse health consequences associated with a physically inactive lifestyle for children and adolescents active in the youth sport context. 相似文献
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Daniel D. Bingham Silvia Costa Stacy A. Clemes Ash C. Routen Helen J. Moore Sally E. Barber 《Journal of sports sciences》2016,34(20):2005-2010
This study presents a worked example of a stepped process to reliably estimate the habitual physical activity and sedentary time of a sample of young children. A total of 299 children (2.9 ± 0.6 years) were recruited. Outcome variables were daily minutes of total physical activity, sedentary time, moderate to vigorous physical activity and proportional values of each variable. In total, 282 (94%) provided 3 h of accelerometer data on ≥1 day and were included in a 6-step process: Step-1: determine minimum wear-time; Step-2: process 7-day-data; Step-3: determine the inclusion of a weekend day; Step-4: examine day-to-day variability; Step-5: calculate single day intraclass correlation (ICC) (2,1); Step-6: calculate number of days required to reach reliability. Following the process the results were, Step-1: 6 h was estimated as minimum wear-time of a standard day. Step-2: 98 (32%) children had ≥6 h wear on 7 days. Step-3: no differences were found between weekdays and weekend days (P ≥ 0.05). Step-4: no differences were found between day-to-day variability (P ≥ 0.05). Step-5: single day ICC’s (2,1) ranged from 0.48 (total physical activity and sedentary time) to 0.53 (proportion of moderate to vigorous physical activity). Step-6: to reach reliability (ICC = 0.7), 3 days were required for all outcomes. In conclusion following a 7 day wear protocol, ≥6 h on any 3 days was found to have acceptable reliability. The stepped-process offers researchers a method to derive sample-specific wear-time criterion. 相似文献
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Nina L. Kringen Genevieve N. Healy Elisabeth A. H. Winkler 《Measurement in physical education and exercise science》2016,20(3):159-166
This study examined the accuracy of self-attachment of the activPAL activity monitor. A convenience sample of 50 participants self-attached the monitor after being presented with written material only (WMO) and then written and video (WV) instructions; and completed a questionnaire regarding the acceptability of the instructional methods. Participants positioned the monitor lower than the instructed position on the thigh (WMO ?5.15 ± 2.75 cm, WV ?4.16 ± 2.15 cm; p = .008 difference) and approximately 2 cm laterally from the thigh midline (WMO 1.90 ± 0.92 cm; WV 2.08 ± 1.24 cm). The orientation of the device was positioned correctly along the midline (within < 1° of vertical). Acceptability was high for both instructional methods although preference was shown for the WV instruction. In conclusion, participants consistently self-attached the activPAL close to the intended placement with either instructional method. The addition of video instruction produced a slightly more accurate attachment and was preferred by the participants. 相似文献
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Ying Gao Nina Nevala Neil J. Cronin Taija Finni 《European Journal of Sport Science》2016,16(6):747-754
Sit–stand workstations offer a potential strategy to reduce prolonged occupational sitting. This controlled intervention study examined the effects of an environmental intervention on occupational sedentary time, musculoskeletal comfort and work ability, and the usability of sit–stand workstations in office work via a self-reported questionnaire. The intervention group (n?=?24) used sit–stand workstations during the 6-month intervention period, and the control group (n?=?21) used traditional sitting workstations. The results showed that working at sit–stand workstations can reduce sitting time significantly compared to control workstations (?6.7% vs. 5.0%, p?=?.019), which is reallocated mostly to standing (r?=??0.719, p?p?=?.028), as well as work ability (p?=?.022). The majority of intervention subjects rated sit–stand workstation adjustability as good (83.3%), and 75.0% were satisfied with the workstation. About 41.7% of the intervention participants, who were exclusively female, used the sit–stand function on a daily basis. While the environmental change alone was effective, it is likely that promoting the daily use of sit–stand workstations with counselling would lead to even more substantial positive effects. 相似文献
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目的了解分层分班教学管理模式对高中生在校体力活动水平的影响,为精准干预高中生体力活动不足提供依据。方法运用问卷调查法与数理统计法,对不同学业层级高中生体力活动内部动机、在校体力活动基本情况进行调查与比较分析。结果A、B层学生体力活动内部动机、课余体力活动水平无统计学差异。A层学生体育课活跃性体力活动水平低于B层、课间静坐少动时间多于B层、过去7d(天)每天锻炼达到1h的天数少于B层,差异有统计学意义(p<0.05~p<0.01)。结论学业分层可能造成学业成绩优秀的高中生在体育课中体力活动活跃性更低、课间静坐少动时间更多。对高中生体力活动不足的有效干预,需要家校、师生形成共识,共建多元干预格局,精准干预体育课堂体力活动质量和课间静坐少动行为。 相似文献
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体力活动和静坐行为是影响儿童早期体质健康的重要因素。本研究以152名学前儿童为被试,使用三轴加速度计测量体力活动和静坐行为,使用儿童型人体成分分析仪测量身体成分,使用《国民体质测定标准(幼儿部分)》测评身体素质,使用相关分析、多元回归分析和等时替代回归分析对它们之间的关系进行探究,结果发现在控制了性别、年龄、城乡、佩戴时间和静坐行为等因素后,中高强度体力活动尤其是高强度体力活动对去脂体重指数和身体素质(十米折返跑、立定跳远、双脚连续跳、走平衡木)依然具有显著影响;高强度体力活动替代其他强度体力活动或不同强度体力活动替代静坐行为后,去脂体重指数均有所提升;身体素质变化仅在高强度体力活动替代其他强度体力活动和静坐行为时具有方向一致性和显著性。家长和教师应充分重视中高强度体力活动尤其是高强度体力活动与学前儿童体质健康的紧密联系,促进学前儿童静坐行为和低强度体力活动向中高强度体力活动适度转化,以提升学前儿童下肢肌肉力量素质和灵敏素质等方面的体质健康水平。 相似文献
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"屏前静态行为"与"体育参与"是当前影响青少儿体质健康的2个重要因素,通过文献资料法、问卷调查法研究发现:青少儿寒暑假存在过度屏前静态行为,学段与屏前静态行为成正相关,外界监管是影响屏前静态行为的重要因素,可及性是青少儿选择电子媒介的关键因素。寒暑假期间青少儿体育参与率较低,其中大学生体育参与率最低,依次是小学生、高中生和初中生。青少儿屏前静态行为与体育参与两者之间存在负相关,同时两者发展规律不同,具有相对独立性。 相似文献
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Pauliina Husu Jaana Suni Kari Tokola Henri Vähä-Ypyä Heli Valkeinen Tomi Mäki-Opas 《Journal of sports sciences》2019,37(16):1840-1848
This cross-sectional study analysed the association of sedentary behaviour (SB) and standing with waist circumference. Finnish adults aged 30-75 years from a sub-sample of population-based Health 2011 Study used a hip-worn tri-axial accelerometer (Hookie AM20, Traxmeet, Ltd, Espoo, Finland) for seven days. Those 1405 participants (57% women) who used accelerometer at least four days, minimum of 10 hours/day, were included. SB and standing were analysed in 6s epochs using validated algorithm. Daily total time, daily number and accumulated time from bouts (30s–5min,30s–10min,30s–15min,30s 30min,>5min,>10min,>15min, >30min) as well as daily number of sit-to-stand transitions were determined. Waist circumference (cm) was measured in standardized way. Participants’ mean age was 52 years (SD 12.2). Mean waist circumference was 97cm (SD 12.3) in men and 87cm (SD 12.7) in women. According to multivariable stepwise linear regression analysis, sit-to-stand transitions [standardised regression coefficient (β)= -0.14, 95%CI -0.20 to -0.09], standing bouts of 30s–5min (β= -0.21, 95%CI -0.26 to -0.15) and number of 30s-30min SB bouts (β=0.12, 95%CI 0.06 to 0.17) were most strongly associated with waist circumference. Besides assessing total SB time, future studies should assess also different bout lengths of SB and sit-to-stand transitions and standing times should be assessed separately. 相似文献
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Liezel Hurter Alex V. Rowlands Stuart J. Fairclough Karl C. Gibbon Zoe R. Knowles Lorna A. Porcellato 《Journal of sports sciences》2019,37(16):1910-1918
This study aimed to validate the Sedentary Sphere posture classification method from wrist-worn accelerometers in children. Twenty-seven 9–10-year-old children wore ActiGraph GT9X (AG) and GENEActiv (GA) accelerometers on both wrists, and activPAL on the thigh while completing prescribed activities: five sedentary activities, standing with a phone, walking (criterion for all 7: observation) and 10-min free-living play (criterion: activPAL). In an independent sample, 21 children wore AG and GA accelerometers on the non-dominant wrist and activPAL for two days of free-living. Per cent accuracy, pairwise 95% equivalence tests (±10% equivalence zone) and intra-class correlation coefficients (ICC) analyses were completed. Accuracy was similar, for prescribed activities irrespective of brand (non-dominant wrist: 77–78%; dominant wrist: 79%). Posture estimates were equivalent between wrists within brand (±6%, ICC > 0.81, lower 95% CI ≥ 0.75), between brands worn on the same wrist (±5%, ICC ≥ 0.84, lower 95% CI ≥ 0.80) and between brands worn on opposing wrists (±6%, ICC ≥ 0.78, lower 95% CI ≥ 0.72). Agreement with activPAL during free-living was 77%, but sedentary time was underestimated by 7% (GA) and 10% (AG). The Sedentary Sphere can be used to classify posture from wrist-worn AG and GA accelerometers for group-level estimates in children, but future work is needed to improve the algorithm for better individual-level results. 相似文献