失眠对儿童饮食摄入的影响:随机交叉试验的纵向成分分析。

IF 5.6 1区 医学 Q1 NUTRITION & DIETETICS
Jillian J Haszard, Rosie Jackson, Silke Morrison, Kim A Meredith-Jones, Barbara C Galland, Dean W Beebe, Dawn E Elder, Rachael W Taylor
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引用次数: 0

摘要

背景:虽然睡眠不足会增加儿童肥胖的风险,但其机制仍不清楚。本研究的目的是评估睡眠不足对儿童饮食摄入量的影响,同时考虑久坐时间和体力活动的相应变化;并调查时间利用的变化与饮食摄入量的关系:在 105 名睡眠正常(约 8-11 小时/晚)的健康儿童(8-12 岁)中进行了一项随机交叉试验,比较了延长睡眠时间(要求比平时提前一小时关灯,持续一周)和限制睡眠时间(推迟一小时关灯)两种情况,中间间隔一周为冲洗期。在每个干预周期间,使用腰围式运动计对 24 小时的时间使用行为(睡眠、睡眠开始后的唤醒、体力活动、久坐时间)进行评估,并使用两次多次饮食回顾对饮食摄入量进行评估。采用混合效应回归模型进行纵向成分分析,以时间使用变量的等距对数比作为暴露变量,以饮食变量作为结果,并以参与者作为随机效应:83 名儿童(10.2 岁,53% 为女性,62% 体重健康)在限制周内睡眠时间减少了 47.9 分钟(标准差 30.1 分钟),但夜间清醒时间也减少了 8.5 分钟(21.4 分钟)。在这额外的清醒时间里,他们白天的久坐时间(+ 31 分钟)和活动时间(+ 21 分钟轻体力活动,+ 4 分钟 MVPA)都有所增加。在对 24 小时时间使用的所有变化进行调整后,减少 48 分钟的睡眠时间与消耗更多的能量(262 千焦,95% CI:55,470)显著相关,而这些能量全部来自非核心食物(314 千焦;43,638)。久坐时间的增加与非核心食物能量摄入的增加有关(177 千焦;25,329),而 MVPA 的增加与核心食物能量摄入的增加有关(72 千焦;7,136)。女性参与者的饮食变化更大:结论:睡眠不足与能量摄入增加有关,尤其是非核心食物的摄入,与久坐时间和体力活动的变化无关。以改善睡眠为重点的干预措施可能有利于改善儿童的饮食摄入和体重状况:澳大利亚新西兰临床试验注册中心ANZCTR ACTRN12618001671257,2018年10月10日注册,https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=367587&isReview=true。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Losing sleep influences dietary intake in children: a longitudinal compositional analysis of a randomised crossover trial.

Background: Although inadequate sleep increases the risk of obesity in children, the mechanisms remain unclear. The aims of this study were to assess how sleep loss influenced dietary intake in children while accounting for corresponding changes in sedentary time and physical activity; and to investigate how changes in time use related to dietary intake.

Methods: A randomized crossover trial in 105 healthy children (8-12 years) with normal sleep (~ 8-11 h/night) compared sleep extension (asked to turn lights off one hour earlier than usual for one week) and sleep restriction (turn lights off one hour later) conditions, separated by a washout week. 24-h time-use behaviors (sleep, wake after sleep onset, physical activity, sedentary time) were assessed using waist-worn actigraphy and dietary intake using two multiple-pass diet recalls during each intervention week. Longitudinal compositional analysis was undertaken with mixed effects regression models using isometric log ratios of time use variables as exposures and dietary variables as outcomes, and participant as a random effect.

Results: Eighty three children (10.2 years, 53% female, 62% healthy weight) had 47.9 (SD 30.1) minutes less sleep during the restriction week but were also awake for 8.5 (21.4) minutes less at night. They spent this extra time awake in the day being more sedentary (+ 31 min) and more active (+ 21 min light physical activity, + 4 min MVPA). After adjusting for all changes in 24-h time use, losing 48 min of sleep was associated with consuming significantly more energy (262 kJ, 95% CI:55,470), all of which was from non-core foods (314 kJ; 43, 638). Increases in sedentary time were related to increased energy intake from non-core foods (177 kJ; 25, 329) whereas increases in MVPA were associated with higher intake from core foods (72 kJ; 7,136). Changes in diet were greater in female participants.

Conclusion: Loss of sleep was associated with increased energy intake, especially of non-core foods, independent of changes in sedentary time and physical activity. Interventions focusing on improving sleep may be beneficial for improving dietary intake and weight status in children.

Trial registration: Australian New Zealand Clinical Trials Registry ANZCTR ACTRN12618001671257, Registered 10th Oct 2018, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=367587&isReview=true.

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来源期刊
CiteScore
13.80
自引率
3.40%
发文量
138
审稿时长
4-8 weeks
期刊介绍: International Journal of Behavioral Nutrition and Physical Activity (IJBNPA) is an open access, peer-reviewed journal offering high quality articles, rapid publication and wide diffusion in the public domain. IJBNPA is devoted to furthering the understanding of the behavioral aspects of diet and physical activity and is unique in its inclusion of multiple levels of analysis, including populations, groups and individuals and its inclusion of epidemiology, and behavioral, theoretical and measurement research areas.
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