美国成年人肠道微生物群饮食指数与睡眠时间之间的关系：一项横断面研究

IF 4.8 Q1 MICROBIOLOGY

Current Research in Microbial Sciences Pub Date : 2025-01-01 DOI:10.1016/j.crmicr.2025.100412

Jingjing Liu, Shaoqiang Huang

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引用次数: 0

摘要

微生物-肠道-脑轴是睡眠障碍发病机制的基础。肠道微生物群饮食指数（DI-GM）是一种与肠道微生物群多样性相关的创新饮食质量指标，得分越高表明肠道微生物群越健康。这项研究旨在调查其与睡眠时间的关系。方法本横断面研究分析了2005年至2018年国家健康与营养检查调查（NHANES）数据，涉及25,439名年龄≥20岁的参与者。DI-GM评分是利用饮食回忆数据计算的，包括有益（BGMS）和不利（UGMS）的肠道微生物群评分。睡眠时间是通过这个问题来评估的：“你在工作日晚上通常睡多久？”并将其分为短期（每晚7小时）、最佳（每晚7 - 8小时）和长期（每晚8小时）。采用多变量加权线性和逻辑回归模型来确定DI-GM与睡眠时间之间的关系。二级分析包括限制三次样条（RCS）和亚组分析。结果在完全调整模型中，较高的DI-GM评分与较长的睡眠时间相关(β =0.03, 95%可信区间[CI]: 0.01 ~ 0.04, P <；0.001)， BGMS也较高(β =0.04, 95% CI: 0.02-0.06, P <；0.001)。以最佳睡眠作为参考类别，较高的DI-GM评分和BGMS均与较低的短睡眠几率显著相关(DI-GM：比值比[OR] =0.96, 95% CI: 0.93-0.99, P = 0.010；BGMS: OR =0.93, 95% CI: 0.89-0.96, P <；0.001)。RCS显示DI-GM与两种结果呈非线性关系，而BGMS呈线性关系。亚组分析证实了人口统计学、生活方式和健康阶层之间的一致关联，种族/民族的影响显著改变(睡眠时间P = 0.015；短睡眠为0.016)和体力活动（P分别= 0.033和0.007）。结论：较高的DI-GM评分与较长的睡眠时间相关，强调了肠道微生物群靶向饮食对睡眠健康的潜力。

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Association between dietary index for gut microbiota and sleep duration in US adults: a cross-sectional study

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Association between dietary index for gut microbiota and sleep duration in US adults: a cross-sectional study

Background

The microbiota-gut-brain axis underlies the pathogenesis of sleep disorders. The dietary index for gut microbiota (DI-GM) is an innovative diet quality metric related to gut microbiota diversity, with higher scores indicating a healthier gut microbiome. This study aimed to investigate its association with sleep duration.

Methods

This cross-sectional study analyzed the National Health and Nutrition Examination Survey (NHANES) data from 2005 to 2018, involving 25,439 participants aged ≥20 years. The DI-GM score was calculated utilizing dietary recall data, encompassing both beneficial (BGMS) and unfavorable (UGMS) to gut microbiota score. Sleep duration was assessed via the question: “How much sleep do you usually get at night on weekdays or workdays?” and categorized as short (<7 h per night), optimal (7–8 h per night), and long (>8 h per night). Multivariable weighted linear and logistic regression models were performed to determine the association between DI-GM and sleep duration. Secondary analyses included restricted cubic splines (RCS) and subgroup analyses.

Results

In the fully adjusted model, a higher DI-GM score was associated with longer sleep duration (β =0.03, 95 % confidence interval [CI]: 0.01–0.04, P < 0.001), as was a higher BGMS (β =0.04, 95 % CI: 0.02–0.06, P < 0.001). Using optimal sleep as the reference category, both higher DI-GM score and BGMS were significantly associated with lower odds of short sleep (DI-GM: odds ratio [OR] =0.96, 95 % CI: 0.93–0.99, P = 0.010; BGMS: OR =0.93, 95 % CI: 0.89–0.96, P < 0.001). RCS revealed nonlinear associations between DI-GM and both outcomes, while BGMS exhibited linear patterns. Subgroup analyses confirmed consistent associations across demographic, lifestyle, and health strata, with significant effect modification by race/ethnicity (P = 0.015 for sleep duration; 0.016 for short sleep) and physical activity (P = 0.033 and 0.007, respectively).