• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

抑郁症状与 BMI 之间的关系:2005-2018 年 NHANES 数据。

The relationship between depressive symptoms and BMI: 2005-2018 NHANES data.

机构信息

Department of Clinical Nutrition, The First Affiliated Hospital, Jinan University, Guangzhou, Guangdong 510630, PR China.

Department of Pain Management, The First Affiliated Hospital, Jinan University, Guangzhou, Guangdong 510630, PR China.

出版信息

J Affect Disord. 2022 Sep 15;313:151-157. doi: 10.1016/j.jad.2022.06.046. Epub 2022 Jun 24.

DOI:10.1016/j.jad.2022.06.046
PMID:35753497
Abstract

BACKGROUND

Depression is one of the most common diseases in the world, and severe depression is the second leading cause of disability in the world. However, the relationship between depressive symptoms and body mass index (BMI) is still unclear. The purpose of this study was to explore the relationship between BMI and depressive symptoms.

METHODS

We conducted a cross-sectional study involving 35,407 participants, all data collected from NHANES 2005-2018. A multivariable logistic regression model was used to analyze the relationship between depressive symptoms (outcome variables) and BMI levels (independent variables). The Patient Health Questionnaire (PHQ-9) was the primary measure of depressive symptoms. We also performed sensitivity analyses, including multiple sensitivity analyses.

RESULTS

After adjusting for covariates, the ORS (95 % CI) of depressive symptoms from the lowest to the highest levels of BMI were 1.14 (1.00-1.30), 1.00 (Reference), 1.19 (1.05-1.35) and 1.45 (1.29-1.64), respectively. However, stratified analysis and sensitivity analysis showed that there was no U-shaped relationship between non-Hispanic black race and depressive symptoms.

LIMITATION

Self-reporting questionnaire may lead to recall bias or reporting bias; Cross-sectional studies failed to verify causality.

CONCLUSION

There is a U-shaped relationship between depression and BMI. However, no such relationship was found among non-Hispanic blacks. More researches are needed to confirm the relationship between weight and depression, as well as the causal relationship between them.

摘要

背景

抑郁症是世界上最常见的疾病之一,重度抑郁症是世界上导致残疾的第二大原因。然而,抑郁症状与体重指数(BMI)之间的关系仍不清楚。本研究旨在探讨 BMI 与抑郁症状之间的关系。

方法

我们进行了一项横断面研究,纳入了 35407 名参与者,所有数据均来自 NHANES 2005-2018 年。采用多变量逻辑回归模型分析抑郁症状(因变量)与 BMI 水平(自变量)之间的关系。患者健康问卷(PHQ-9)是抑郁症状的主要测量工具。我们还进行了敏感性分析,包括多次敏感性分析。

结果

调整了协变量后,BMI 水平从最低到最高的抑郁症状的 ORS(95%CI)分别为 1.14(1.00-1.30)、1.00(参考)、1.19(1.05-1.35)和 1.45(1.29-1.64)。然而,分层分析和敏感性分析显示,非西班牙裔黑人种族与抑郁症状之间没有 U 型关系。

局限性

自报告问卷可能导致回忆偏倚或报告偏倚;横断面研究无法验证因果关系。

结论

抑郁症状与 BMI 之间存在 U 型关系。然而,在非西班牙裔黑人中未发现这种关系。需要进一步的研究来确认体重与抑郁之间的关系以及它们之间的因果关系。

相似文献

1
The relationship between depressive symptoms and BMI: 2005-2018 NHANES data.抑郁症状与 BMI 之间的关系:2005-2018 年 NHANES 数据。
J Affect Disord. 2022 Sep 15;313:151-157. doi: 10.1016/j.jad.2022.06.046. Epub 2022 Jun 24.
2
Association between Weight-Adjusted Waist Index and depressive symptoms: A nationally representative cross-sectional study from NHANES 2005 to 2018.体重调整腰围指数与抑郁症状之间的关联:一项基于2005年至2018年美国国家健康与营养检查调查(NHANES)的全国代表性横断面研究。
J Affect Disord. 2024 Apr 1;350:49-57. doi: 10.1016/j.jad.2024.01.104. Epub 2024 Jan 12.
3
Relationship between Depression Symptoms and Different Types of Measures of Obesity (BMI, SAD) in US Women.美国女性的抑郁症状与肥胖不同测量指标(BMI、SAD)之间的关系。
Behav Neurol. 2020 Nov 22;2020:9624106. doi: 10.1155/2020/9624106. eCollection 2020.
4
Dietary choline is inversely associated with depressive symptoms: A cross-sectional study of the National Health and Nutrition Examination Survey (NHANES) 2011 to 2018.饮食胆碱与抑郁症状呈负相关:2011 至 2018 年全国健康和营养调查(NHANES)的横断面研究。
J Affect Disord. 2022 Mar 15;301:23-29. doi: 10.1016/j.jad.2022.01.013. Epub 2022 Jan 7.
5
Increased regional body fat is associated with depressive symptoms: a cross-sectional analysis of NHANES data obtained during 2011-2018.局部体脂增加与抑郁症状相关:对2011 - 2018年期间获得的美国国家健康与营养检查调查(NHANES)数据的横断面分析。
BMC Psychiatry. 2024 May 3;24(1):336. doi: 10.1186/s12888-024-05782-4.
6
Body mass index modifies the relationship between dietary iron intake and depressive symptoms among adults: A national population-based cohort.体重指数改变成年人饮食中铁摄入量与抑郁症状之间的关系:一项基于全国人口的队列研究。
J Affect Disord. 2023 Nov 1;340:907-913. doi: 10.1016/j.jad.2023.08.105. Epub 2023 Aug 22.
7
Association between depressive symptoms and lung function in the United States adults without pulmonary diseases: A cross-sectional study from NHANES.美国无肺部疾病成年人抑郁症状与肺功能的关系:来自 NHANES 的横断面研究。
J Affect Disord. 2023 Mar 15;325:787-793. doi: 10.1016/j.jad.2022.12.110. Epub 2023 Jan 11.
8
Depressive symptoms are associated with obesity in adults with heart failure: An analysis of gender differences.抑郁症状与心力衰竭成年患者的肥胖相关:性别差异分析。
Eur J Cardiovasc Nurs. 2015 Dec;14(6):516-24. doi: 10.1177/1474515114542558. Epub 2014 Jul 16.
9
Association of sleep apnea and depressive symptoms among US adults: a cross-sectional study.美国成年人睡眠呼吸暂停与抑郁症状的关联:一项横断面研究。
BMC Public Health. 2023 Mar 6;23(1):427. doi: 10.1186/s12889-023-15358-8.
10
Waist circumference, abdominal obesity, and depression among overweight and obese U.S. adults: National Health and Nutrition Examination Survey 2005-2006.美国超重和肥胖成年人的腰围、腹型肥胖与抑郁:2005-2006 年国家健康与营养调查。
BMC Psychiatry. 2011 Aug 11;11:130. doi: 10.1186/1471-244X-11-130.

引用本文的文献

1
Association between the Balanced Healthy Eating Index and depression and the mediating role of extreme pessimistic thoughts: an analysis from the health and nutrition database.均衡健康饮食指数与抑郁症之间的关联及极端悲观思维的中介作用:来自健康与营养数据库的分析
Front Nutr. 2025 Aug 19;12:1590171. doi: 10.3389/fnut.2025.1590171. eCollection 2025.
2
Correlation between gabapentin and depression: A study from the NHANES and FAERS databases.加巴喷丁与抑郁症之间的相关性:一项来自美国国家健康与营养检查调查(NHANES)和药品不良事件报告系统(FAERS)数据库的研究。
Medicine (Baltimore). 2025 Aug 22;104(34):e44010. doi: 10.1097/MD.0000000000044010.
3
Machine learning-based nomogram for predicting depressive symptoms in women: A cross-sectional study in Guangdong Province, China.
基于机器学习的预测女性抑郁症状的列线图:中国广东省的一项横断面研究。
World J Psychiatry. 2025 Aug 19;15(8):106622. doi: 10.5498/wjp.v15.i8.106622.
4
Relationship Between Body Mass Index (BMI) and Depression Among the General Population of Al-Madinah Al-Munawwarah, Saudi Arabia.沙特阿拉伯麦地那穆纳瓦拉普通人群中体重指数(BMI)与抑郁症之间的关系。
Cureus. 2025 Jul 10;17(7):e87686. doi: 10.7759/cureus.87686. eCollection 2025 Jul.
5
Adolescents With Severe Obesity Had an Increased Risk of Reporting Symptoms That Indicated They Had Major Depression.患有严重肥胖症的青少年报告表明他们患有重度抑郁症症状的风险增加。
Acta Paediatr. 2025 Oct;114(10):2603-2611. doi: 10.1111/apa.70147. Epub 2025 May 26.
6
Association between dietary fiber intake and all-cause and CVD-caused mortality among heart failure survivors: a cohort study from the NHANES database.心力衰竭幸存者膳食纤维摄入量与全因死亡率及心血管疾病所致死亡率之间的关联:一项来自美国国家健康与营养检查调查(NHANES)数据库的队列研究
Front Cardiovasc Med. 2025 Apr 10;11:1406511. doi: 10.3389/fcvm.2024.1406511. eCollection 2024.
7
The association between body roundness index and mortality in diabetes.身体圆润度指数与糖尿病患者死亡率之间的关联。
BMC Cardiovasc Disord. 2025 Apr 9;25(1):273. doi: 10.1186/s12872-025-04689-6.
8
The mediating effects of sleep quality in the relationship between loneliness and depression among middle-aged and older adults.睡眠质量在中老年人群孤独感与抑郁关系中的中介作用
Sci Rep. 2025 Mar 24;15(1):10040. doi: 10.1038/s41598-025-93681-3.
9
The relationship between VAI, LAP, and depression and the mediation role of sleep duration-evidence from NHANES 2005-2020.内脏脂肪指数、脂质蓄积产物与抑郁之间的关系及睡眠时间的中介作用——来自2005 - 2020年美国国家健康与营养检查调查的证据
BMC Psychiatry. 2025 Mar 11;25(1):228. doi: 10.1186/s12888-025-06631-8.
10
Identifying major depressive disorder among US adults living alone using stacked ensemble machine learning algorithms.使用堆叠集成机器学习算法识别美国独居成年人中的重度抑郁症。
Front Public Health. 2025 Feb 21;13:1472050. doi: 10.3389/fpubh.2025.1472050. eCollection 2025.