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1.
BackgroundMeeting 24-h movement guidelines by children and adolescents has been associated with improved indicators of health, although it has been under-studied in China. Hence, this study aimed to investigate the prevalence of meeting the 24-h movement guidelines, its correlates, and its relationships with body mass index in children and adolescents in China.MethodsCross-sectional data from the 2017 Youth Study in China of 114,072 children and adolescents (mean age = 13.75 years, 49.18% boys) were used. Meeting 24-h movement guidelines (≥60 min of daily moderate-to-vigorous physical activity, ≤2 h of daily leisure screen time, 9–11 h and 8–10 h nightly sleep duration for 6–13-year-olds and 14–17-year-olds, respectively) and height and weight of all participants were assessed. The prevalence of meeting the 24-h movement guidelines and World Health Organization weight status categories were determined. Generalized linear models were used to determine the correlates of meeting the 24-h movement guidelines and the relationships of meeting the 24-h movement guidelines with overweight (OW) and obesity (OB).ResultsOnly 5.12% of Chinese children and adolescents met the 24-h movement guidelines, and 22.44% were classified as OW/OB. Older children and adolescents were less likely to meet the 24-h movement guidelines. Parental education level and family income were positively related to meeting the 24-h movement guidelines. Children and adolescents meeting the 24-h movement guidelines showed lower odds ratios for OW/OB. Compared with participants meeting the 24-h movement guidelines, boys in 4th–6th grades met none of the recommendations (OR = 1.22, 95%CI: 1.06–1.40), met the screen time recommendation only (OR = 1.13, 95%CI: 1.01–1.28), met the nightly sleep duration recommendation only (OR = 1.14, 95%CI: 1.03–1.28), and had significantly higher odds ratios for OW/OB. Similar trends were observed for girls in 4th–6th grades: meeting none of the guidelines (OR = 1.35, 95%CI: 1.14–1.59), meeting sleep duration guidelines only (OR = 1.23, 95%CI: 1.08–1.39), and meeting moderate-to-vigorous physical activity + nightly sleep duration guidelines (OR = 1.24, 95%CI: 1.01–1.54). For girls in 7th–9th grades, the following trend was observed: meeting none of the guidelines (OR = 1.30, 95%CI: 1.01–1.67).ConclusionVery few Chinese children and adolescents met the 24-h movement guidelines. Age (negatively correlated), parental education level, and family income (both positively correlated) were correlates of meeting the 24-h movement guidelines. Children and adolescents meeting the 24-h movement guidelines were more likely to have lower risks for OW/OB, especially in the youngest age group (Grades 4–6); and girls in the middle age group (Grades 7–9) were also more likely to have lower risks for OW/OB. Further research studies should explore additional correlates and determinants for meeting the 24-h movement guidelines. Also, future studies should use longitudinal or interventional designs to determine the relationships between meeting the 24-h movement guidelines and OW/OB and other health indicators, while taking sex and age differences into account.  相似文献   

2.
PurposeThe purpose of this study was to determine which intensities, patterns, and types of 24-h movement behaviors are most strongly associated with cardiometabolic risk factors among children.MethodsA total of 369 children aged 10–13 years were studied. Participants wore an Actical accelerometer and a Garmin Forerunner 220 Global Positioning System logger and completed an activity and sleep log for 7 days. Data from these instruments were combined to estimate average minute per day spent in 14 intensities, 11 types, and 14 patterns of movement. Body mass index, resting heart rate, and systolic blood pressure values were combined to create a cardiometabolic risk factor score. Partial least squares regression analysis was used to examine associations between the 39 movement behavior characteristics and the cardiometabolic risk factor score. The variable importance in projection (VIP) values were used to determine and rank important movement behavior characteristics. There was evidence of interaction by biological maturity, and the analyses were conducted separately in the 50% least mature and 50% most mature participants.ResultsFor the least biologically mature participants, fifteen of the 39 movement behavior characteristics had important VIP value scores; eight of these reflected movement intensities (particularly moderate and vigorous intensities), six reflected movement patterns, and one reflected a movement type. For the most mature participants, thirteen of the 39 movement behavior characteristics had important VIP value scores, with five reflecting intensities (particularly moderate and vigorous intensities), five reflecting patterns, and three reflecting types of movement.ConclusionMore than 12 movement behavior characteristics were associated with cardiometabolic risk factors within both the most and least mature participants. Movement intensities within the moderate and vigorous intensity ranges were the most consistent correlates of these risk factors.  相似文献   

3.
BackgroundAdopting a healthy lifestyle during childhood could improve physical and mental health outcomes in adulthood and reduce relevant disease burdens. However, the lifestyles of children with mental, behavioral, and developmental disorders (MBDDs) remains under-described within the literature of public health field. This study aimed to examine adherence to 24-hour movement guidelines among children with MBDDs compared to population norms and whether these differences are affected by demographic characteristics.MethodsData were from the 2016–2020 National Survey of Children's Health—A national, population-based, cross-sectional study. We used the data of 119,406 children aged 6–17 years, which included 38,571 participants with at least 1 MBDD and 80,835 without. Adherence to the 24-hour movement guidelines was measured using parent-reported physical activity, screen time, and sleep duration.ResultsAmong children with MBDDs, 20.3%, 37.0%, 60.7%, and 77.3% met the physical activity, screen time, sleep, and at least 1 of the 24-hour movement guidelines. These rates were lower than those in children without MBDDs (22.8%, 46.2%, 66.7%, and 83.4%, respectively; all p < 0.001). Children with MBDDs were less likely to meet these guidelines (odds ratio (OR) = 1.21, 95% confidence interval (95%CI): 1.13–1.30; OR = 1.37, 95%CI: 1.29–1.45; OR = 1.29, 95%CI: 1.21–1.37; OR = 1.45, 95%CI: 1.35–1.56) than children without MBDDs. Children with emotional disorders had the highest odds of not meeting these guidelines (OR = 1.43, 95%CI: 1.29–1.57; OR = 1.48, 95%CI: 1.37–1.60; OR = 1.49, 95%CI: 1.39–1.61; OR = 1.72, 95%CI: 1.57–1.88) in comparison to children with other MBDDs. Among children aged 12–17 years, the difference in proportion of meeting physical activity and screen time guidelines for children with vs. children without MBDD was larger than that among children aged 6–11 years. Furthermore, the above difference of meeting physical activity guidelines in ethnic minority children was smaller than that in white children.ConclusionChildren with MBDDs were less likely to meet individual or combined 24-hour movement guidelines than children without MBDDs. In educational and clinical settings, the primary focus should be on increasing physical activity and limiting screen time in children aged 12–17 years who have MBDDs; and specifically for white children who have MBDDs, increasing physical activity may help.  相似文献   

4.
BackgroundFew studies have investigated associations between academic achievement and meeting recommendations from the 24-hour (24-h) movement guidelines. The specific guidelines associated with the most benefit academic achievement are unknown. Utilizing both self-report and objective movement data, this study examined associations between academic achievement and meeting individual recommendations and combinations of recommendations from the 24-h movement guidelines (sleep, physical activity, and screen time).MethodsData from CheckPoint, a cross-sectional study nested between Waves 6 and 7 of the Longitudinal Study of Australian Children, were used. Movement behaviors were measured using 24-h wrist-worn accelerometry (GENEActiv (Activinsights, Kimbolton, UK)) and were self-reported by children using the Multimedia Activity Recall for Children and Adolescents. Academic achievement was measured using a nationally administered standardized test in literacy and numeracy. Analysis of covariance, with t tests with sequential Bonferroni adjustments, was used to compare academic achievement with all possible combinations of meeting recommendations, adjusting for demographic confounders. Two models were considered: guideline compliance assessed by self-report (n = 1270, mean age = 11.99 years, 52% males) and by accelerometry (for moderate-to-vigorous intensity physical activity (MVPA) and sleep)) and self-report (screen time) in combination (n = 927, mean age = 11.97 years, 52% males).ResultsLiteracy achievement significantly differed based on self-report (F(7, 1258) = 3.08, p = 0.003) and accelerometer derived (F(7, 915) = 2.40, p = 0.02) guideline compliance. Numeracy achievement significantly differed based on self-report (F (7, 1258) = 2.92, p = 0.005) but not accelerometer derived guideline compliance (F(7, 915) = 0.80, p = 0.58). When assessed by self-report, children who met all guidelines (t (334) = ?4.05, p = 0.0001) or met the screen time and sleep guidelines in combination (t (125) = ?5.02, p < 0.001) had superior literacy achievement. Meeting the self-report MVPA guideline in any combination was associated with higher numeracy scores (p < 0.05). Post-hoc analyses showed no differences in academic achievement for any category of accelerometer derived guideline compliance.ConclusionThe findings suggest that limiting recreational screen time is important for literacy achievement and that encouraging compliance with the MVPA guideline is important for numeracy achievement.  相似文献   

5.
目的:对5~18岁学龄期儿童青少年的24 h活动研究进行系统综述,总结并归纳现有文献报道的研究特征、研究方法与研究结果。通过系统检索,共有20篇文献纳入本综述,结果发现,平均30.84%、41.32%、45.04%的儿童青少年分别达到了身体活动、屏幕时间、睡眠时长3项指标推荐量,17.56%、46.16%、35.06%、6.85%的儿童青少年分别达到了0、1、2、3项24 h活动指标推荐量。男生的身体活动达标率优于女生,但男生屏幕时间指标达标率普遍低于女生。随着年龄的增长,屏幕时间的达标率显著降低。父母教育程度越高,其子女的24 h达标条数越多。并且,纳入的研究一致发现24 h活动的指标多项达标可以改善儿童青少年不同的健康指标,包括体重状况、心血管健康、心理状况、认知发展、生活质量以及饮食模式。  相似文献   

6.
目的:对5~18岁学龄期儿童青少年的24 h活动研究进行系统综述,总结并归纳现有文献报道的研究特征、研究方法与研究结果。通过系统检索,共有20篇文献纳入本综述,结果发现,平均30.84%、41.32%、45.04%的儿童青少年分别达到了身体活动、屏幕时间、睡眠时长3项指标推荐量,17.56%、46.16%、35.06%、6.85%的儿童青少年分别达到了0、1、2、3项24 h活动指标推荐量。男生的身体活动达标率优于女生,但男生屏幕时间指标达标率普遍低于女生。随着年龄的增长,屏幕时间的达标率显著降低。父母教育程度越高,其子女的24 h达标条数越多。并且,纳入的研究一致发现24 h活动的指标多项达标可以改善儿童青少年不同的健康指标,包括体重状况、心血管健康、心理状况、认知发展、生活质量以及饮食模式。  相似文献   

7.
ObjectiveThis study sought to analyze the prospective association between vigorous-intensity physical activity (VPA) and health-related outcomes in children and adolescents.MethodsStudies reporting associations between device-measured VPA and health-related factors in children and adolescents aged 3–18 years were identified through database searches (MEDLINE, EMBASE, and SPORTDiscus). Correlation coefficients were pooled if outcomes were reported by at least 3 studies, using DerSimonian-Laird random effects models.ResultsData from 23 studies including 13,674 participants were pooled using random effects models. Significant associations were found between VPA at baseline and overall adiposity (r = −0.09, 95% confidence interval (95%CI): –0.15 to –0.03; p = 0.002; I2 = 89.8%), cardiometabolic risk score (r = –0.13, 95%CI: –0.24 to –0.02, p = 0.020; I2 = 69.6%), cardiorespiratory fitness (r = 0.25, 95%CI: 0.15−0.35; p < 0.001; I2 = 57.2%), and total body bone mineral density (r = 0.16, 95%CI: 0.06 to 0.25; p = 0.001; I2 = 0%).ConclusionVPA seems to be negatively related to adiposity and cardiometabolic risk score and positively related to cardiorespiratory fitness and total body bone mineral density among children and adolescents at follow-up. Therefore, our findings support the need to strengthen physical activity recommendations regarding VPA due to its health benefits in children and adolescents.  相似文献   

8.
身体活动与健康促进是公共卫生及运动科学领域研究的重点方向之一。个体一日24 h由睡眠、久坐及各种强度的身体活动组成,已有研究多从单一维度探讨这些行为对健康的影响,忽视了身体活动、久坐、睡眠等行为之间的内在联系及对健康结果的综合影响,可能使相应行为与健康效应间的关联产生偏差。时间使用流行病学研究方法的引入克服了这一不足。以“时间分配”作为切入点,综述国际学术界关于身体活动、久坐和睡眠行为对健康影响的研究现状,并系统阐述了等时替代研究方法、活动-平衡模型、时间使用流行病学的发展及其研究框架。基于此,展望了时间使用流行病学相关理论在身体活动研究领域的应用前景:1、开发新式测量工具并完善数据收集和分析方法;2、建立有关时间使用模式的综合评价体系;3、制订我国大众人群的活动-平衡时间分配推荐指南方案。  相似文献   

9.
Purpose:The aim of the present study was to determine the association between adherence to the 24-h movement guidelines during middle adolescence and glucose outcomes(glycated hemoglobin and fasting glucose) and type 2 diabetes mellitus(T2DM) in adulthood,14 and 22 years later.Methods:We analyzed data from apparently healthy adolescents aged 12-18 years who participated in Waves Ⅰ and Ⅱ(1994-1996,n=14,738),Wave Ⅳ(2008-2009,n=8913),and Wave V(2016-2018,n=3457) of the National Longitudinal Study o...  相似文献   

10.
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.  相似文献   

11.
ABSTRACT

Studies that have analysed the association between the different movement behaviours and fundamental movement skills (FMS) have considered it in an independent manner, disregarding the compositional nature of 24-h movement behaviours (24-h MB). The aim of this study was to investigate the relationship between the 24-h MB and FMS in preschoolers using a compositional data analysis . Two hundred and four preschoolers (4.5 ± 0.8 years old; 101 boys) provided objectively assessed physical activity (PA) and sedentary behaviour (SB) data (Actigraph wGT3X), and FMS (TGMD-2). Sleep duration (SD) was reported by parents. Association of daily composition of movement behaviours with FMS was explored using compositional analysis and isotemporal substitution (R Core Team, 3.6.1). When considered as a 24-h MB composition (PA, SB and SD), adjusted for age, BMI and sex, the composition predicted locomotor (r2 = 0.31), object control (r2 = 0.19), and total motor score (r2 = 0.35), respectively (all P < 0.001). Reallocation of time from light to moderate-to-vigorous PA was associated with greatest positive changes in total motor score. Achieving adequate balance between movement behaviours over the 24-h period, and its relationship with locomotor and object control skills should be considered and further investigated in early childhood.  相似文献   

12.
Purpose: The purposes of this article are to: (a) describe the rationale and development of the Youth Compendium of Physical Activities (Youth Compendium); and (b) discuss the utility of the Youth Compendium for audiences in research, education, community, health care, public health, and the private sector. Methods: The Youth Compendium provides a list of 196 physical activities (PA) categorized by activity types, specific activities, and metabolic costs (youth metabolic equivalents of task [METy]) as measured by indirect calorimetry. The utility of the Youth Compendium was assessed by describing ways in which it can be used by a variety of audiences. Results: Researchers can use METy values to estimate PA levels and determine changes in PA in intervention studies. Educators can ask students to complete PA records to determine time spent in physical activities and to identify health-enhancing activities for classroom PA breaks. Community leaders, parents, and health care professionals can identify activity types that promote healthful behaviors. Public health agencies can use the METy values for surveillance and as a resource to inform progress toward meeting national physical activity guidelines. Applications for the private sector include the use of METy in PA trackers and other applications. Conclusion: The National Collaborative on Childhood Obesity Research Web site presents the Youth Compendium and related materials to facilitate measurement of the energy cost of nearly 200 physical activities in children and youth. The Youth Compendium provides a way to standardize energy costs in children and youth and has application for a wide variety of audiences.  相似文献   

13.
PurposeThe purpose of this study was to use decision tree modeling to generate profiles of children and youth who were more and less likely to meet the Canadian 24-h movement guidelines during the coronavirus disease-2019 (COVID-19) outbreak.MethodsData for this study were from a nationally representative sample of 1472 Canadian parents (Meanage = 45.12, SD = 7.55) of children (5–11 years old) or youth (12–17 years old). Data were collected in April 2020 via an online survey. Survey items assessed demographic, behavioral, social, micro-environmental, and macro-environmental characteristics. Four decision trees of adherence and non-adherence to all movement recommendations combined and each individual movement recommendation (physical activity (PA), screen time, and sleep) were generated.ResultsResults revealed specific combinations of adherence and non-adherence characteristics. Characteristics associated with adherence to the recommendation(s) included high parental perceived capability to restrict screen time, annual household income of ≥ CAD 100,000, increases in children's and youth's outdoor PA/sport since the COVID-19 outbreak began, being a boy, having parents younger than 43 years old, and small increases in children's and youth's sleep duration since the COVID-19 outbreak began. Characteristics associated with non-adherence to the recommendation(s) included low parental perceived capability to restrict screen time, youth aged 12–17 years, decreases in children's and youth's outdoor PA/sport since the COVID-19 outbreak began, primary residences located in all provinces except Quebec, low parental perceived capability to support children's and youth's sleep and PA, and annual household income of ≤ CAD 99,999.ConclusionOur results show that specific characteristics interact to contribute to (non)adherence to the movement behavior recommendations. Results highlight the importance of targeting parents’ perceived capability for the promotion of children's and youth's movement behaviors during challenging times of the COVID-19 pandemic, paying particular attention to enhancing parental perceived capability to restrict screen time.  相似文献   

14.
PurposeThe objective of this scoping review was to summarize systematically the available literature investigating the relationships between the coronavirus disease 2019 (COVID-19) pandemic and movement behaviors (physical activity, sedentary behavior, and sleep) of school-aged children (aged 5−11 years) and youth (aged 12−17 years) in the first year of the COVID-19 outbreak.MethodsSearches for published literature were conducted across 6 databases on 2 separate search dates (November 25, 2020, and January 27, 2021). Results were screened and extracted by 2 reviewers (DCP and KR) independently, using Covidence. Basic numeric analysis and content analysis were undertaken to present thematically the findings of included studies according to the associated impact on each movement behavior.ResultsA total of 1486 records were extracted from database searches; of those, 150 met inclusion criteria and were included for analysis. Of 150 articles, 110 were empirical studies examining physical activity (n = 77), sedentary behavior/screen time (n = 58), and sleep (n = 55). Results consistently reported declines in physical-activity time, increases in screen time and total sedentary behavior, shifts to later bed and wake times, and increases in sleep duration. The reported impacts on movement behaviors were greater for youth than for children.ConclusionThe COVID-19 pandemic is related to changes in the quantity and nature of physical activity, sedentary behavior, and sleep among children and youth. There is an urgent need for policy makers, practitioners, and researchers to develop solutions for attenuating adverse changes in physical activity and screen time among children and youth.  相似文献   

15.
在4个英文数据库(WoS核心合集、PubMed、Embase、MEDLINE)和4个中文数据库(CNKI、万方数据库、维普数据库、中国生物医学文献数据库)中检索2020年5月1日前发表的0~5岁婴幼儿24 h活动相关文献,对文献的基本特征信息进行提取,并运用文献归纳法对所纳入研究的结果进行分析与提炼。共有12篇文献纳入研究,平均61.95%、26.59%、82.61%的婴幼儿分别达到了身体活动水平、屏幕时间、睡眠时长3项指标推荐量,3.44%、29.53%、58.25%、9%的婴幼儿分别达到了身体活动水平、屏幕时间和睡眠时长3项指标0、1、2、3条的建议标准;家庭经济水平、屏幕时间、种族是影响婴幼儿24 h活动的重要因素,但因研究数量过少无法确定其具体影响机制;24 h活动的多项指标达标可改善婴幼儿不同的身心健康指标。  相似文献   

16.
BackgroundMeeting the 24-Hour Movement Guidelines (physical activity, screen time, and sleep duration) has been associated with positive health indicators. However, there are no previous meta-analyses that have examined the overall adherence to the 24-Hour Movement Guidelines from pre-school to adolescence across the world. Therefore, the main purpose of this systematic review and meta-analysis was to examine the overall (non)adherence to the 24-Hour Movement Guidelines among preschoolers, children, and adolescents worldwide.MethodsFour electronic databases (MEDLINE, Scopus, Web of Science, and Cochrane Database of Systematic Reviews) were searched for quantitative studies published in Spanish and English between January 2016 and May 2021. Studies that were conducted with apparently healthy participants and reported the overall (non)adherence to the 24-Hour Movement Guidelines in preschoolers and/or children and/or adolescents were included.ResultsSixty-three studies comprising 387,437 individuals (51% girls) aged 3–18 years from 23 countries were included. Overall, 7.12% (95% confidence interval (95%CI): 6.45%–7.78%) of youth met all three 24-Hour Movement Guidelines, and 19.21% (95%CI: 16.73%–21.69%) met none of the 3 recommendations. Concerning sex, adherence to all recommendations was significantly lower in girls (3.75%, 95%CI: 3.23%–4.27%) than in boys (6.89%, 95%CI: 5.89%–7.89%) (p < 0.001). However, there were no sex differences regarding adherence to any of the 3 individual recommendations (girls, 15.66%, 95%CI: 8.40%–22.92%; boys, 12.95%, 95%CI: 6.57%–19.33%). In terms of age group, adherence to the 3 recommendations was 11.26% (95%CI: 8.68%–13.84%), 10.31% (95%CI: 7.49%–13.12%), and 2.68% (95%CI: 1.78%–3.58%) in preschoolers, children, and adolescents, respectively. Conversely, 8.81% (95%CI: 5.97%–11.64%) of preschoolers, 15.57% (95%CI: 11.60%–19.54%) of children, and 28.59% (95%CI: 22.42%–34.75%) of adolescents did not meet any of the recommendations. South America was the region with the lowest adherence (all: 2.93%; none: 31.72%). Overall adherence to the 24-Hour Movement Guidelines was positively related to country Human Development Index (β = –0.37, 95%CI: –0.65 to –0.09; p = 0.010).ConclusionMost young people fail to meet the three 24-Hour Movement Guidelines, particularly adolescents, girls, and those who are from countries with a lower Human Development Index. Moreover, 1 in 5 young people did not meet any of these recommendations. Therefore, these results highlight the need to develop age- and sex-specific strategies to promote these movement behaviors from the early stages of life.  相似文献   

17.
Abstract

With cardiovascular fitness (CVF) as the dependent variable, relationships with habitual level of physical activity, age, gender, and body mass index (BMI) were investigated in a sample of 93 high adiposity and 93 low adiposity children, ages 8 to 13. A physical activity score (PAS) was computed for each child from a 2-day observation period. A physical working capacity index from cycle ergometry (PWC170) was the measure of CVF. Low and high adiposity samples were classified by a median split (42.9 mm) on the sum of three skinfold measures (tricep, suprailiac, subscapula). For the high adiposity sample, PAS, age, BMI, and gender were significant and the overall model was significant (p < .001), accounting for 38 % of variance in PWC170. In the low adiposity sample, gender (p < .04) was significantly related to CVF, but the overall model was not significant (p < .35). PAS, thus, was a significant predictor of CVF among the high adiposity children, but not the low adiposity children. Mechanisms that may account for this difference include greater work for equal activity among the obese, a ceiling effect on CVF among the low adiposity children, or differences in hormonal or metabolic factors mediating the activity-CVF relationship.  相似文献   

18.
ABSTRACT

Average acceleration (AvAcc) and intensity gradient (IG) have been proposed as standardised metrics describing physical activity (PA) volume and intensity, respectively. We examined hypothesised between-group PA differences in AvAcc and IG, and their associations with health and well-being indicators in children. ActiGraph GT9X wrist accelerometers were worn for 24-h·d?1 over 7days by 145 children aged 9–10. Raw accelerations were averaged per 5-s epoch to represent AvAcc over 24-h. IG represented the relationship between log values for intensity and time. Moderate-to-vigorous PA (MVPA) was estimated using youth cutpoints. BMI z-scores, waist-to-height ratio (WHtR), peak oxygen uptake (VO2peak), Metabolic Syndrome risk (MetS score), and well-being were assessed cross-sectionally, and 8-weeks later. Hypothesised between-group differences were consistently observed for IG only (p < .001). AvAcc was strongly correlated with MVPA (r = 0.96), while moderate correlations were observed between IG and MVPA (r = 0.50) and AvAcc (r = 0.54). IG was significantly associated with health indicators, independent of AvAcc (p < .001). AvAcc was associated with well-being, independent of IG (p < .05). IG was significantly associated with WHtR (p < .01) and MetS score (p < .05) at 8-weeks follow-up. IG is sensitive as a gauge of PA intensity that is independent of total PA volume, and which relates to important health indicators in children.  相似文献   

19.
Background:Physical activity,sleep,and sedentary behaviors compose 24-h movement behaviors and have been independently associated with depressive symptoms.However,it is not clear whether it is the movement behavior itself or other contextual factors that are related to depressive symptoms.The objective of the present study was to examine the associations between self-reported and accelerometer-measured movement behaviors and depressive symptoms in adolescents.Methods:Cross-sectional data from 610 adolescents(14-18 years old)were used.Adolescents answered questions from the Center for Epidemiological Studies Depression scale and reported time spent watching videos,playing videogames,using social media,time spent in various physical activities,and daytime sleepiness.Wrist-worn accelerometers were used to measure sleep duration,sleep efficiency,sedentary time,and physical activity.Mixed-effects logistic regressions were used.Results:Almost half of the adolescents(48%)were classified as being at high risk for depression(score≥20).No significant associations were found between depressive symptoms and accelerometer-measured movement behaviors,self-reported non-sport physical activity,watching videos,and playing videogames.However,higher levels of self-reported total physical activity(odd ratio(OR)=0.92,95%confidence interval(95%CI):0.86-0.98)and volume of sports(OR=0.88,95%CI:0.79-0.97),in minutes,were associated with a lower risk of depression,while using social media for either 2.0-3.9 h/day(OR=1.77,95%CI:1.58-2.70)or>3.9 h/day(OR=1.67,95%CI:1.10-2.54),as well as higher levels of daytime sleepiness(OR=1.17,95%CI:1.12-1.22),were associated with a higher risk of depression.Conclusion:What adolescents do when they are active or sedentary may be more important than the time spent in the movement behaviors because it relates to depressive symptoms.Targeting daytime sleepiness,promoting sports,and limiting social media use may benefit adolescents.  相似文献   

20.
PurposeTo examine the joint associations between meeting guidelines for physical activity (PA) and sleep duration and all-cause mortality risk among adults.MethodsParticipants were adults (n = 282,473) aged 18–84 years who participated in the 2004–2014 U.S. National Health Interview Survey. Mortality status was ascertained using the National Death Index through December 2015. Self-reported PA (Active: meeting both aerobic (AER) and muscle-strengthening (MSA) guidelines, AER only (AER), MSA only (MSA), or not meeting either AER or MSA (Inactive)) and sleep duration (Short, recommended (Rec), or Long) were classified according to guidelines, and 12 PA–sleep categories were derived. Adjusted hazard ratios and 95% confidence intervals (95%CIs) for all-cause mortality risk were estimated using Cox proportional hazards regression models.ResultsA total of 282,473 participants (55% females) were included; 18,793 deaths (6.7%) occurred over an average follow-up of 5.4 years. Relative to the Active-Rec group, all other PA-sleep groups were associated with increased mortality risk except for the Active-Short group (hazard ratio = 1.08; 95%CI: 0.92–1.26). The combination of long sleep with either MSA or Inactive appeared to be synergistic. For a given sleep duration, mortality risk progressively increased among participants classified as AER, MSA, and Inactive. Within each activity level, the mortality risk was greatest among adults with long sleep.ConclusionRelative to adults meeting guidelines for both PA and sleep duration, adults who failed to meet guidelines for both AER and muscle strengthening PA and who also failed to meet sleep duration guidelines had elevated all-cause mortality risks. These results support interventions targeting both PA and sleep duration to reduce mortality risk.  相似文献   

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