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复合膳食抗氧化指数与睡眠健康:来自横断面研究的新视角。

Composite dietary antioxidant index and sleep health: a new insight from cross-sectional study.

机构信息

Department of Cardiology, The Second Affilliated Hospital of Chongqing Medical University, No.74, Linjiang Road, Chonqing, 400010, China.

Department of Endocrinology and Metabolism, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road, Guangzhou, Guangdong Province, 510632, China.

出版信息

BMC Public Health. 2024 Feb 26;24(1):609. doi: 10.1186/s12889-024-18047-2.

DOI:10.1186/s12889-024-18047-2
PMID:38408934
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10895802/
Abstract

BACKGROUND

Low-quality sleep and obstructive sleep apnea (OSA) can result in series of chronic diseases. Healthy diet has been considered as an effective and simple strategy to optimize sleep quality. However, current evidence on the correlation of dietary composite antioxidant intake with sleep health remained obscure.

AIM OF THE STUDY

To determine the relationship of composite dietary antioxidant index (CDAI) and sleep health.

METHODS

Cross-sectional analyses were based on National Health and Nutrition Examination Survey (NHANES) 2005-2008. Dietary consumption was assessed by trained staff using 24-h diet recall method and CDAI was calculated based on previous validated approach that included six antioxidants. Sleep-related outcomes were self-reported by a set of questionnaires and classified into OSA, day sleepiness, and insufficient sleep. Weighted logistic regression was conducted to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Restricted cubic spline (RCS) regressions were also used to evaluate the dose-response of CDAI and three sleep-related outcomes.

RESULTS

A total of 7274 subjects included (mean age: 46.97 years) were enrolled in our study, including 3658 were females (52.54%) and 3616 were males (47.46%). Of them, 70.6%, 29.51%, and 35.57% of the subjects reported that they had OSA, day sleepiness and insufficient sleep, respectively. Logistic regression showed the highest quartile of CDAI was inversely associated with the risk of OSA (OR: 0.69, 95%CI: 0.49-0.97), day sleepiness (OR: 0.64, 95%CI: 0.44-0.94) and insufficient sleep (OR: 0.68, 95%CI: 0.50-0.92) compared with the lowest quartile. RCS showed linear relationship of CDAI and insufficient sleep but non-linear relationship of CDAI with OSA and day sleepiness.

CONCLUSIONS

Our results show that CDAI was non-linearly associated with lower risk of OSA and day sleepiness whereas a linear inverse association between CDAI and insufficient sleep was observed. These findings implicate that combined intake of antioxidants could be a promising and effective approach to optimize sleep quality for public.

摘要

背景

睡眠质量差和阻塞性睡眠呼吸暂停(OSA)会导致一系列慢性疾病。健康饮食被认为是优化睡眠质量的有效且简单的策略。然而,目前关于复合饮食抗氧化剂摄入量与睡眠健康之间相关性的证据仍不清楚。

研究目的

确定复合饮食抗氧化指数(CDAI)与睡眠健康之间的关系。

方法

本研究基于 2005-2008 年的全国健康与营养调查(NHANES)进行了横断面分析。饮食摄入由经过培训的工作人员使用 24 小时饮食回忆法进行评估,CDAI 根据以前验证的方法计算,该方法包括六种抗氧化剂。通过一系列问卷报告与睡眠相关的结果,并将其分为 OSA、白天嗜睡和睡眠不足。使用加权逻辑回归计算比值比(OR)和 95%置信区间(CI)。还使用限制性立方样条(RCS)回归评估 CDAI 与三种与睡眠相关的结果之间的剂量反应关系。

结果

本研究共纳入 7274 名受试者(平均年龄:46.97 岁),其中 3658 名女性(52.54%)和 3616 名男性(47.46%)。其中,70.6%、29.51%和 35.57%的受试者分别报告患有 OSA、白天嗜睡和睡眠不足。逻辑回归显示,CDAI 的最高四分位数与 OSA(OR:0.69,95%CI:0.49-0.97)、白天嗜睡(OR:0.64,95%CI:0.44-0.94)和睡眠不足(OR:0.68,95%CI:0.50-0.92)的风险呈负相关。RCS 显示 CDAI 与睡眠不足呈线性关系,而与 OSA 和白天嗜睡呈非线性关系。

结论

我们的结果表明,CDAI 与 OSA 和白天嗜睡的风险呈非线性负相关,而 CDAI 与睡眠不足呈线性负相关。这些发现表明,联合摄入抗氧化剂可能是优化公众睡眠质量的一种有前途且有效的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb7e/10895802/a520169e4117/12889_2024_18047_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb7e/10895802/7fe9a1abeb05/12889_2024_18047_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb7e/10895802/03dd81851ba5/12889_2024_18047_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb7e/10895802/a520169e4117/12889_2024_18047_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb7e/10895802/7fe9a1abeb05/12889_2024_18047_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb7e/10895802/03dd81851ba5/12889_2024_18047_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb7e/10895802/a520169e4117/12889_2024_18047_Fig3_HTML.jpg

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