Suppr超能文献

英国青少年15至17.5岁期间客观测量的身体活动、久坐时间和睡眠时间的变化幅度及影响因素:ROOTS研究

Magnitude and determinants of change in objectively-measured physical activity, sedentary time and sleep duration from ages 15 to 17.5y in UK adolescents: the ROOTS study.

作者信息

Collings Paul J, Wijndaele Katrien, Corder Kirsten, Westgate Kate, Ridgway Charlotte L, Sharp Stephen J, Dunn Valerie, Goodyer Ian, Ekelund Ulf, Brage Soren

机构信息

Institute of Metabolic Science, MRC Epidemiology Unit, University of Cambridge, Box 285, Addenbrookes Hospital, Cambridge, CB2 0QQ, UK.

Developmental Lifecourse Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK.

出版信息

Int J Behav Nutr Phys Act. 2015 May 14;12:61. doi: 10.1186/s12966-015-0222-4.

Abstract

BACKGROUND

Self-reported physical activity (PA) and sleep duration (SLP) change markedly throughout adolescence. We sought to quantify changes in objectively-measured PA, sedentary time (ST) and SLP through adolescence, and to investigate baseline body composition and baseline activity levels as determinants of change.

METHODS

Individually calibrated combined heart rate and movement sensing was used to estimate PA energy expenditure (PAEE), SLP, daily ST and time in light (LPA), moderate (MPA), vigorous (VPA), and moderate-to-vigorous physical activity (MVPA) in 144 adolescents (50% boys) of mean age 15.1(±0.3)y at baseline and 17.5(±0.3)y at follow-up. Changes in PA (ΔPA), ST (ΔST) and SLP (ΔSLP) were calculated as follow-up minus baseline values. Waist circumference (WC) was measured at baseline and follow-up, as was fat mass index (FMI) and fat-free mass index (FFMI) by a pooled estimation method including bio-impedance. Comparison of baseline and follow-up activity was made by mixed-model ANOVA. Linear regression adjusted for baseline demographics, total and weekend hours of monitor wear time and the seasons of activity measurements, was used to investigate baseline body composition as determinants of ΔPA, ΔST and ΔSLP. A further model adjusted for baseline of the outcome assessed baseline activity as a predictor of behaviour change, and investigated associations for baseline body composition independent of the baseline level of the outcome.

RESULTS

From baseline to follow-up levels of MPA and VPA declined (p ≤ 0.039). The annual decline in MVPA was equivalent to -4.5 and -3.0 min/d in boys and girls, respectively. Baseline FMI, FFMI and WC were positively associated with ΔLPA and negatively associated with ΔST in boys when adjusted for baseline of the outcome (p ≤ 0.037 for all). SLP increased from baseline to follow-up (p = 0.004) but ΔSLP was not associated with baseline body composition (p ≥ 0.13). For all variables, higher baseline levels were associated with greater declines over time (p ≤ 0.003).

CONCLUSIONS

Levels of higher-intensity PA decline from mid-to-late adolescence, whereas the duration of sleep increases. Changes in LPA and ST may be associated with baseline body composition, but the baseline level of the outcome is consistently the strongest predictor of changes in adolescent activity.

摘要

背景

自我报告的身体活动(PA)和睡眠时间(SLP)在整个青春期会发生显著变化。我们试图量化青春期客观测量的PA、久坐时间(ST)和SLP的变化,并研究基线身体成分和基线活动水平作为变化的决定因素。

方法

采用个体校准的心率和运动传感相结合的方法,对144名青少年(50%为男孩)的PA能量消耗(PAEE)、SLP、每日ST以及轻度(LPA)、中度(MPA)、剧烈(VPA)和中度至剧烈身体活动(MVPA)时间进行估计。这些青少年基线时的平均年龄为15.1(±0.3)岁,随访时为17.5(±0.3)岁。PA(ΔPA)、ST(ΔST)和SLP(ΔSLP)的变化计算为随访值减去基线值。在基线和随访时测量腰围(WC),并通过包括生物阻抗在内的汇总估计方法测量脂肪质量指数(FMI)和去脂体重指数(FFMI)。通过混合模型方差分析比较基线和随访时的活动情况。采用线性回归,对基线人口统计学、监测佩戴总时长和周末时长以及活动测量季节进行调整,以研究基线身体成分作为ΔPA、ΔST和ΔSLP的决定因素。进一步调整结果基线的模型,评估基线活动作为行为变化的预测指标,并研究独立于结果基线水平的基线身体成分之间的关联。

结果

从基线到随访,MPA和VPA水平下降(p≤0.039)。男孩和女孩MVPA的年下降量分别相当于-4.5和-3.0分钟/天。在根据结果基线进行调整后,男孩的基线FMI、FFMI和WC与ΔLPA呈正相关,与ΔST呈负相关(所有p≤0.037)。SLP从基线到随访有所增加(p = 0.004),但ΔSLP与基线身体成分无关(p≥0.13)。对于所有变量,较高的基线水平与随时间的更大下降相关(p≤0.003)。

结论

从中晚期青春期到晚期,高强度PA水平下降,而睡眠时间增加。LPA和ST的变化可能与基线身体成分有关,但结果的基线水平始终是青少年活动变化的最强预测指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14b/4437669/55e92b2178d2/12966_2015_222_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验