首页|期刊导航|中国全科医学|40~65岁人群睡眠碎片化与动脉硬化的关联性研究

40~65岁人群睡眠碎片化与动脉硬化的关联性研究OA

Association between Sleep Fragmentation and Arteriosclerosis among Population Aged 40-65 Years

中文摘要英文摘要

背景 睡眠碎片化是中老年人群动脉硬化(AS)的重要影响因素,但各睡眠阶段的碎片化与 AS 之间的关联尚未明确.目的 探讨中老年人群睡眠碎片化指标与 AS 的关联.方法 选择 2022 年 3-11 月在福泉市第一人民医院体检中心体检的 40~65 岁人群,对其开展问卷调查、臂踝脉搏波速度(baPWV)检测,并佩戴智能手环收集连续3 d的睡眠数据,计算睡眠碎片化指数(SFI)、非快速动眼期碎片化指数(NFI)、快速动眼期碎片化指数(RFI).采用非条件二分类 Logistic 回归模型以及限制性立方样条评估 SFI、NFI、RFI 与 AS 患病风险的关联,并对不同性别、是否习惯性打鼾和是否超重/肥胖人群进行亚组分析.结果 本研究共纳入 706 名完成体格检查并检测 baPWV,且具有连续 3 d 睡眠监测数据完整的研究对象,其中 AS 患者 347 名(49.15%).剂量反应关系结果显示,在调整混 杂 变 量 后,SFI、NFI 及 RFI 与 AS 发生风险呈现"U"形 或"J"形非线性关系(PSFI-Non-linear=0.007;PNFI-Non-linear=0.031;PRFI-Non-linear=0.044),其风险曲线在 SFI ≈5.75,NFI ≈5.77,RFI≈8.25 达到最低水平.非条件二分类Logistic 回归模型结果显示,在调整混杂因素后,与 SFI T2(5.13~<6.39)相比,SFI T1(2.59~<5.13)AS 患病风险呈边缘性升高趋势(OR=1.515,95%CI=1.001~2.295,P=0.05),而 SFI T3(6.39~8.72)AS 患病风险升高(OR=1.778,95%CI=1.163~2.720,P<0.05);与 RFI T1(0~<7.46)相比,RFI T3(9.22~19.35)AS 患病风险升高(OR=1.706,95%CI=1.053~2.766,P<0.05).亚组结果显示,在相同睡眠碎片化水平下,男性、习惯性打鼾者及超重/肥胖人群的动脉硬化患病风险总体高于女性、非习惯性打鼾者及正常/偏瘦人群(P<0.05).结论 睡眠碎片化与 AS 之间存在非线性关联,SFI 过高或过低、RFI 过高均可能与 AS 风险升高相关,后续可开展大样本前瞻性队列研究开发睡眠碎片化各个指数在AS 风险评估中的应用策略.

Background Fragmented sleep is recognized as a significant contributing factor to arteriosclerosis(AS)in middle-aged and elderly populations;however,the specific associations between fragmentation across distinct sleep stages and AS have not been fully elucidated.Objective To investigate the association between sleep fragmentation indices and AS in middle-aged and older adults.Methods From March to November 2022,individuals aged 40-65 years who underwent physical examinations at the Physical Examination Center of the First People's Hospital of Fuquan City were selected.Questionnaire surveys,brachial-ankle pulse wave velocity(baPWV)measurements,and sleep data collection using smart wristbands were conducted.Unconditional binary Logistic regression models and restricted cubic spline analyses were used to assess the associations of the sleep fragmentation index(SFI),NREM fragmentation index(NFI),and REM fragmentation index(RFI)with the risk of AS.Subgroup analyses were conducted by sex,habitual snoring,and overweight/obesity status.Results A total of 706 participants with complete baPWV measurements and continuous 3-day sleep monitoring data were included,of whom 347(49.15%)were classified as having AS.After adjusting for confounding variables,SFI,NFI,and RFI showed"U"-shaped or"J"-shaped non-linear associations with AS risk(PSFI-Non-linear=0.007,PNFI-Non-linear=0.031,PRFI-Non-linear=0.044),with the risk curves reaching the lowest levels around the inflection points(SFI ≈ 5.75,NFI ≈ 5.77,RFI ≈ 8.25).Multivariable unconditional binary Logistic regression analysis showed that,after adjustment for potential confounders,compared with the SFI T2 group(5.13-<6.39),the SFI T1 group(2.59-<5.13)was marginally associated with an increased risk of AS(OR=1.515,95%CI=1.001-2.295,P=0.05),whereas participants in the SFI T3 group(6.39-8.72)had a significantly higher risk of AS(OR=1.706,95%CI=1.053-2.766,P<0.05);compared with the RFI T1 group(0-<7.46),the RFI T3 group(9.22-19.35)was associated with an increased risk of AS(OR=1.706,95%CI=1.053-2.766,P<0.05).Subgroup analyses indicated that,at comparable levels of sleep fragmentation,men,habitual snorers,and overweight/obese individuals tended to exhibit higher risks of AS compared with women,non-habitual snorers,and normal-weight/underweight individuals(P<0.05).Conclusion Sleep fragmentation was nonlinearly associated with AS.Excessively high or low SFI levels and elevated RFI may be related to an increased risk of AS.Future large-scale prospective cohort studies are needed to further evaluate the utility of sleep fragmentation indices in AS risk assessment.

杨婷婷;郑利;梁大强;吴凡;袁娴娴;魏来;胡瑾;汪俊华;王子云

561113 贵州省贵阳市,贵州医科大学公共卫生与健康学院 环境污染与疾病监控教育部重点实验室550599 贵州省福泉市第一人民医院体检中心561113 贵州省贵阳市,贵州医科大学公共卫生与健康学院 环境污染与疾病监控教育部重点实验室561113 贵州省贵阳市,贵州医科大学公共卫生与健康学院 环境污染与疾病监控教育部重点实验室561113 贵州省贵阳市,贵州医科大学公共卫生与健康学院 环境污染与疾病监控教育部重点实验室561113 贵州省贵阳市,贵州医科大学公共卫生与健康学院 环境污染与疾病监控教育部重点实验室561113 贵州省贵阳市,贵州医科大学公共卫生与健康学院 环境污染与疾病监控教育部重点实验室561113 贵州省贵阳市,贵州医科大学公共卫生与健康学院 环境污染与疾病监控教育部重点实验室561113 贵州省贵阳市,贵州医科大学公共卫生与健康学院 环境污染与疾病监控教育部重点实验室

医药卫生

动脉硬化睡眠碎片化中老年人群睡眠连续性智能穿戴设备

ArteriosclerosisSleep fragmentationMiddle-aged and older adultsSleep continuityWearable devices

《中国全科医学》 2026 (16)

2190-2197,8

国家自然科学基金资助项目(81960612)贵州省科技计划项目(黔科合基础-ZK[2022]一般382)

10.12114/j.issn.1007-9572.2025.0351

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