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原住民儿童纵向研究中澳大利亚原住民儿童的晚睡与体重指数增加情况

Late bedtime and body mass index gain in indigenous Australian children in the longitudinal study of indigenous children.

作者信息

Fatima Yaqoot, Al Mamun Abdullah, Bucks Romola S, Charles Skinner Timothy

机构信息

Centre for Rural and Remote Health, James Cook University, Mount Isa, QLD, Australia.

Institute for Social Science Research, University of Queensland, Brisbane, QLD, Australia.

出版信息

Acta Paediatr. 2020 Oct;109(10):2084-2090. doi: 10.1111/apa.15219. Epub 2020 Apr 7.

Abstract

AIM

To explore sleep patterns in indigenous Australian children and assess the role of sleep timing in longitudinal changes in body mass index (BMI).

METHODS

Latent profile analysis was conducted with the Australian Longitudinal Study of Indigenous Children (LSIC) cohort data (wave 5), to determine distinct patterns of bed and wake timing, taking account of weekday sleep duration, weekday and weekend bedtimes, and weekday wake times. Multilevel models with a random intercept were used to investigate the role of baseline sleep pattern in predicting longitudinal changes in BMI.

RESULTS

Baseline data for 1258 children (50.7% males), mean age 6.32 ± 1.52 years, indicated the presence of five classes of sleep patterns: early/long sleepers (4.5%), normative sleepers (25.5%), late sleepers (49.9%), consistent late sleepers (11.1%) and early risers (9%). Late sleeping was significantly associated with longitudinal gains in BMI. Compared with early sleepers, consistent late sleepers experienced 1.03 unit gain in BMI at follow-up (95% CI: 0.001-2.05, P = .05).

CONCLUSION

This study underscores the importance of looking beyond sleep duration and highlights the positive outcomes of early bedtimes in children. As sleep timing is modifiable, this offers the opportunity for improvement in sleep and protecting against future weight gain in indigenous children.

摘要

目的

探讨澳大利亚原住民儿童的睡眠模式,并评估睡眠时间在体重指数(BMI)纵向变化中的作用。

方法

利用澳大利亚原住民儿童纵向研究(LSIC)队列数据(第5波)进行潜在剖面分析,以确定不同的上床和起床时间模式,同时考虑工作日睡眠时间、工作日和周末就寝时间以及工作日起床时间。使用具有随机截距的多水平模型来研究基线睡眠模式在预测BMI纵向变化中的作用。

结果

1258名儿童(50.7%为男性)的基线数据显示,平均年龄为6.32±1.52岁,存在五类睡眠模式:早睡/长睡者(4.5%)、正常睡眠者(25.5%)、晚睡者(49.9%)、持续晚睡者(11.1%)和早起者(9%)。晚睡与BMI的纵向增加显著相关。与早睡者相比,持续晚睡者在随访时BMI增加了1.03个单位(95%可信区间:0.001 - 2.05,P = 0.05)。

结论

本研究强调了超越睡眠时间的重要性,并突出了儿童早睡的积极效果。由于睡眠时间是可改变的,这为改善原住民儿童的睡眠和预防未来体重增加提供了机会。

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