Metabolic bridge between sleep disturbances and depression: mediating effects of insulin resistance and clinical implications.

IF 4.6 2区 医学 Q2 PSYCHIATRY
Fan Zhang, Wenjian Li
{"title":"Metabolic bridge between sleep disturbances and depression: mediating effects of insulin resistance and clinical implications.","authors":"Fan Zhang, Wenjian Li","doi":"10.1186/s12888-026-08464-5","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>This study's objective was to investigate the mediating role of insulin resistance (IR) in the association between sleep disturbances and depression and reveal its underlying biological mechanisms and clinical implications.</p><p><strong>Methods: </strong>The present study's sample population was derived from data collected during the period of 2005 to 2014 as part of the National Health and Nutrition Examination Survey. The total sample size comprised 20,510 adults. The utilization of multidimensional sleep assessment (sleep duration, trouble sleeping, and sleep disorders), the PHQ-9 depression scale, and clinically validated IR indicators (METS-IR, TyG, and TyG-BMI) was undertaken to parse associations between variables and quantify mediating effects. This was accomplished by constructing multivariable adjusted modeling, restricted cubic spline modeling, causal-mediation analytic frameworks, and using multiple imputation techniques to address missing data.</p><p><strong>Results: </strong>The results of the study indicated a significant association between sleep disturbances and depression. Sleep disturbances were defined as trouble sleeping, sleep disorders, and poor sleep patterns. Additionally, there was a significant positive association between IR indicators and depression. Following the implementation of confounder adjustment, a unit increase in METS-IR was associated with a 2% increase in the prevalence of depression (OR = 1.02, 95% CI: 1.01-1.02). The ORs for TyG and TyG-BMI were 1.36 (95% CI: 1.26-1.45) and 1.01 (95% CI: 1.01-1.01), respectively. The relationship between sleep disturbances and depression was partially mediated by IR, with mediation ratios ranging from 1.94% to 7.34%. The most substantial mediating effect (7.34%) was observed for TyG-BMI. Furthermore, it was observed that individuals with poorer sleep quality exhibited an elevated prevalence of IR and depression (P for trend < 0.001). The mediating effect of IR indicators remained significant after multiple imputations were used to address missing variables.</p><p><strong>Conclusion: </strong>IR constitutes a significant biological mechanism that links sleep disturbances to depression. The enhancement of sleep quality and the regulation of IR may be pivotal in preventing and managing depression. Future studies should further validate the causality and mechanism of this relationship and explore effective interventions.</p><p><strong>Trial registration: </strong>Not applicable.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"26 1","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2026-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13715151/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12888-026-08464-5","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: This study's objective was to investigate the mediating role of insulin resistance (IR) in the association between sleep disturbances and depression and reveal its underlying biological mechanisms and clinical implications.

Methods: The present study's sample population was derived from data collected during the period of 2005 to 2014 as part of the National Health and Nutrition Examination Survey. The total sample size comprised 20,510 adults. The utilization of multidimensional sleep assessment (sleep duration, trouble sleeping, and sleep disorders), the PHQ-9 depression scale, and clinically validated IR indicators (METS-IR, TyG, and TyG-BMI) was undertaken to parse associations between variables and quantify mediating effects. This was accomplished by constructing multivariable adjusted modeling, restricted cubic spline modeling, causal-mediation analytic frameworks, and using multiple imputation techniques to address missing data.

Results: The results of the study indicated a significant association between sleep disturbances and depression. Sleep disturbances were defined as trouble sleeping, sleep disorders, and poor sleep patterns. Additionally, there was a significant positive association between IR indicators and depression. Following the implementation of confounder adjustment, a unit increase in METS-IR was associated with a 2% increase in the prevalence of depression (OR = 1.02, 95% CI: 1.01-1.02). The ORs for TyG and TyG-BMI were 1.36 (95% CI: 1.26-1.45) and 1.01 (95% CI: 1.01-1.01), respectively. The relationship between sleep disturbances and depression was partially mediated by IR, with mediation ratios ranging from 1.94% to 7.34%. The most substantial mediating effect (7.34%) was observed for TyG-BMI. Furthermore, it was observed that individuals with poorer sleep quality exhibited an elevated prevalence of IR and depression (P for trend < 0.001). The mediating effect of IR indicators remained significant after multiple imputations were used to address missing variables.

Conclusion: IR constitutes a significant biological mechanism that links sleep disturbances to depression. The enhancement of sleep quality and the regulation of IR may be pivotal in preventing and managing depression. Future studies should further validate the causality and mechanism of this relationship and explore effective interventions.

Trial registration: Not applicable.

睡眠障碍和抑郁之间的代谢桥梁:胰岛素抵抗的中介作用和临床意义。
背景:本研究的目的是探讨胰岛素抵抗(IR)在睡眠障碍和抑郁症之间的中介作用,揭示其潜在的生物学机制和临床意义。方法:本研究的样本人群来自2005年至2014年全国健康与营养检查调查的数据。总样本量包括20510名成年人。利用多维睡眠评估(睡眠持续时间、睡眠障碍和睡眠障碍)、PHQ-9抑郁量表和临床验证的IR指标(met -IR、TyG和TyG- bmi)来分析变量之间的关联并量化中介效应。这是通过构建多变量调整模型、限制三次样条模型、因果中介分析框架以及使用多重输入技术来解决缺失数据来实现的。结果:研究结果表明睡眠障碍和抑郁之间存在显著关联。睡眠障碍被定义为睡眠困难、睡眠障碍和不良睡眠模式。此外,IR指标与抑郁之间存在显著正相关。在实施混杂校正后,met - ir的单位增加与抑郁症患病率增加2%相关(OR = 1.02, 95% CI: 1.01-1.02)。TyG和TyG- bmi的or分别为1.36 (95% CI: 1.26-1.45)和1.01 (95% CI: 1.01-1.01)。IR在睡眠障碍与抑郁之间有部分中介作用,中介比例在1.94% ~ 7.34%之间。TyG-BMI的中介效应最显著(7.34%)。此外,我们观察到睡眠质量较差的个体表现出更高的IR患病率和抑郁症(P为趋势)。结论:IR构成了一个重要的生物学机制,将睡眠障碍与抑郁症联系起来。提高睡眠质量和调节IR可能是预防和控制抑郁症的关键。未来的研究应进一步验证这种关系的因果关系和机制,并探索有效的干预措施。试验注册:不适用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
BMC Psychiatry
BMC Psychiatry 医学-精神病学
CiteScore
5.90
自引率
4.50%
发文量
716
审稿时长
3-6 weeks
期刊介绍: BMC Psychiatry is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of psychiatric disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书