• 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

体重指数变化及其与 SARS-CoV-2 感染的关系:真实世界分析。

Body mass index changes and their association with SARS-CoV-2 infection: a real-world analysis.

机构信息

Emory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, GA, USA.

Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.

出版信息

Int J Obes (Lond). 2024 Dec;48(12):1785-1792. doi: 10.1038/s41366-024-01628-x. Epub 2024 Sep 14.

DOI:10.1038/s41366-024-01628-x
PMID:39277656
Abstract

OBJECTIVE

To study body mass index (BMI) changes among individuals aged 18-99 years with and without SARS-CoV-2 infection.

SUBJECTS/METHODS: Using real-world data from the OneFlorida+ Clinical Research Network of the National Patient-Centered Clinical Research Network, we compared changes over time in BMI in an Exposed cohort (positive SARS-CoV-2 test between March 2020-January 2022), to a contemporary Unexposed cohort (negative SARS-CoV-2 tests), and an age/sex-matched Historical control cohort (March 2018-January 2020). BMI (kg/m) was retrieved from objective measures of height and weight in electronic health records. We used target trial approaches to estimate BMI at start of follow-up and change per 100 days of follow-up for Unexposed and Historical cohorts relative to the Exposed cohort by categories of sex, race & ethnicity, age, and hospitalization status.

RESULTS

The study sample consisted of 249,743 participants (19.2% Exposed, 61.5% Unexposed, 19.3% Historical cohort) of whom 62% were women, 21.5% Non-Hispanic Black, 21.4% Hispanic and 5.6% Non-Hispanic other and had an average age of 51.9 years (SD: 18.9). At start of follow-up, relative to the Unexposed cohort (mean BMI: 29.3 kg/m [95% CI: 29.1, 29.4]), the Exposed (0.07 kg/m [95% CI; 0.01, 0.12]) had higher mean BMI and Historical controls (-0.20 kg/m [95% CI; -0.25, -0.15]) had lower mean BMI. Over 100 days, BMI did not change (0 kg/m [95% CI: -0.03, 0.03]) for the Exposed cohort, decreased (-0.04 kg/m [95% CI; -0.05, -0.02]) for the Unexposed cohort and increased (0.03 kg/m [95% CI; 0.01, 0.04]) for the Historical cohort. Observed differences in BMI at start of follow-up and over 100 days were consistent between Unexposed and Exposed cohorts for most subgroups, except at start of follow-up period among Males and those 65 years or older who had lower BMI among Exposed.

CONCLUSIONS

In a diverse real-world cohort of adults, mean BMI of those with and without SARS-CoV2 infection varied in their trajectories. The mechanisms and implications of weight retention following SARS-CoV-2 infection remain unclear.

摘要

目的

研究 18-99 岁有和无 SARS-CoV-2 感染个体的体重指数 (BMI) 变化。

方法

利用来自全国患者为中心的临床研究网络的 OneFlorida+临床研究网络的真实世界数据,我们将暴露队列(2020 年 3 月至 2022 年 1 月期间 SARS-CoV-2 检测阳性)中的 BMI 随时间的变化与同期未暴露队列(SARS-CoV-2 检测阴性)和年龄/性别匹配的历史对照队列(2018 年 3 月至 2020 年 1 月)进行了比较。BMI(kg/m)是从电子健康记录中身高和体重的客观测量值中检索到的。我们使用目标试验方法,根据性别、种族和民族、年龄和住院状态,估计暴露队列、未暴露队列和历史对照队列中每 100 天随访的 BMI 起始值和随访变化。

结果

研究样本包括 249743 名参与者(19.2%为暴露组,61.5%为未暴露组,19.3%为历史队列),其中 62%为女性,21.5%为非西班牙裔黑人,21.4%为西班牙裔,5.6%为非西班牙裔其他人群,平均年龄为 51.9 岁(标准差:18.9)。在随访开始时,与未暴露队列(平均 BMI:29.3kg/m[95%CI:29.1,29.4])相比,暴露队列(0.07kg/m[95%CI:0.01,0.12])的平均 BMI 更高,而历史对照队列(-0.20kg/m[95%CI:-0.25,-0.15])的平均 BMI 更低。在 100 天内,暴露队列的 BMI 没有变化(0kg/m[95%CI:-0.03,0.03]),未暴露队列的 BMI 下降(-0.04kg/m[95%CI:-0.05,-0.02]),而历史对照队列的 BMI 增加(0.03kg/m[95%CI:0.01,0.04])。在未暴露队列和暴露队列的大多数亚组中,随访开始时和 100 天内的 BMI 差异与未暴露队列一致,但在随访开始时,男性和 65 岁及以上的人群中,暴露组的 BMI 较低。

结论

在一个多样化的真实世界成年人队列中,有和无 SARS-CoV-2 感染个体的 BMI 轨迹存在差异。SARS-CoV-2 感染后体重保留的机制和意义仍不清楚。

相似文献

1
Body mass index changes and their association with SARS-CoV-2 infection: a real-world analysis.体重指数变化及其与 SARS-CoV-2 感染的关系:真实世界分析。
Int J Obes (Lond). 2024 Dec;48(12):1785-1792. doi: 10.1038/s41366-024-01628-x. Epub 2024 Sep 14.
2
Body mass index changes and their association with SARS-CoV-2 infection: a real-world analysis.体重指数变化及其与新型冠状病毒感染的关联:一项真实世界分析
medRxiv. 2024 Feb 13:2024.02.12.24302697. doi: 10.1101/2024.02.12.24302697.
3
Risk of New-Onset Diabetes Before and During the COVID-19 Pandemic: A Real-World Cohort Study.2019冠状病毒病大流行之前及期间新发糖尿病的风险:一项真实世界队列研究
J Gen Intern Med. 2025 May;40(6):1315-1324. doi: 10.1007/s11606-024-09035-8. Epub 2024 Sep 20.
4
Body Mass Index and Postacute Sequelae of SARS-CoV-2 Infection in Children and Young Adults.儿童和青年人群 SARS-CoV-2 感染的体重指数与感染后后遗症。
JAMA Netw Open. 2024 Oct 1;7(10):e2441970. doi: 10.1001/jamanetworkopen.2024.41970.
5
Risk Factors Associated With SARS-CoV-2 Infections, Hospitalization, and Mortality Among US Nursing Home Residents.美国养老院居民中与 SARS-CoV-2 感染、住院和死亡相关的风险因素。
JAMA Netw Open. 2021 Mar 1;4(3):e216315. doi: 10.1001/jamanetworkopen.2021.6315.
6
Risk factors and disease profile of post-vaccination SARS-CoV-2 infection in UK users of the COVID Symptom Study app: a prospective, community-based, nested, case-control study.在 COVID 症状研究应用程序的英国用户中,疫苗接种后 SARS-CoV-2 感染的风险因素和疾病特征:一项前瞻性、基于社区的、嵌套的病例对照研究。
Lancet Infect Dis. 2022 Jan;22(1):43-55. doi: 10.1016/S1473-3099(21)00460-6. Epub 2021 Sep 1.
7
Neurological and psychiatric risk trajectories after SARS-CoV-2 infection: an analysis of 2-year retrospective cohort studies including 1 284 437 patients.SARS-CoV-2 感染后神经和精神风险轨迹:包括 1284437 名患者的 2 年回顾性队列研究分析。
Lancet Psychiatry. 2022 Oct;9(10):815-827. doi: 10.1016/S2215-0366(22)00260-7. Epub 2022 Aug 17.
8
Associations of BMI with COVID-19 vaccine uptake, vaccine effectiveness, and risk of severe COVID-19 outcomes after vaccination in England: a population-based cohort study.英国基于人群的队列研究:BMI 与 COVID-19 疫苗接种率、疫苗有效性以及接种后 COVID-19 严重结局风险的关联。
Lancet Diabetes Endocrinol. 2022 Aug;10(8):571-580. doi: 10.1016/S2213-8587(22)00158-9. Epub 2022 Jul 1.
9
The association of overweight, obesity, and long-term obesity with SARS-CoV-2 infection: a meta-analysis of 9 population-based cohorts from the Netherlands Cohorts Consortium.超重、肥胖及长期肥胖与严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染的关联:来自荷兰队列联盟9个基于人群队列的荟萃分析
Int J Obes (Lond). 2025 Apr;49(4):586-595. doi: 10.1038/s41366-024-01660-x. Epub 2024 Oct 31.
10
Association of COVID-19 Infection With Incident Diabetes.COVID-19 感染与新发糖尿病的关联。
JAMA Netw Open. 2023 Apr 3;6(4):e238866. doi: 10.1001/jamanetworkopen.2023.8866.

引用本文的文献

1
Risk of New-Onset Diabetes Before and During the COVID-19 Pandemic: A Real-World Cohort Study.2019冠状病毒病大流行之前及期间新发糖尿病的风险:一项真实世界队列研究
J Gen Intern Med. 2025 May;40(6):1315-1324. doi: 10.1007/s11606-024-09035-8. Epub 2024 Sep 20.

本文引用的文献

1
Body composition and cardiorespiratory fitness of overweight COVID-19 survivors in different severity degrees: a cohort study.超重 COVID-19 幸存者不同严重程度的身体成分和心肺功能适应性:一项队列研究。
Sci Rep. 2023 Oct 17;13(1):17615. doi: 10.1038/s41598-023-44738-8.
2
The importance of patient-partnered research in addressing long COVID: Takeaways for biomedical research study design from the RECOVER Initiative's Mechanistic Pathways taskforce.在解决长新冠问题中重视患者参与式研究:从 RECOVER 倡议的机制途径工作组中为生物医学研究设计获得的经验教训。
Elife. 2023 Sep 22;12:e86043. doi: 10.7554/eLife.86043.
3
Mechanisms and clinical relevance of the bidirectional relationship of viral infections with metabolic diseases.
病毒感染与代谢性疾病双向关系的机制及临床意义。
Lancet Diabetes Endocrinol. 2023 Sep;11(9):675-693. doi: 10.1016/S2213-8587(23)00154-7. Epub 2023 Jul 28.
4
Obesity and weight change during the COVID-19 pandemic in children and adults: A systematic review and meta-analysis.儿童和成人在新冠疫情期间的肥胖与体重变化:一项系统综述与荟萃分析
Obes Rev. 2023 May;24(5):e13550. doi: 10.1111/obr.13550. Epub 2023 Jan 31.
5
Comparative Incidence of Diabetes Following Hospital Admission for COVID-19 and Pneumonia: A Cohort Study.COVID-19和肺炎住院后糖尿病的比较发病率:一项队列研究
Diabetes Care. 2023 May 1;46(5):938-943. doi: 10.2337/dc22-0670.
6
Risks and burdens of incident dyslipidaemia in long COVID: a cohort study.长新冠患者新发血脂异常的风险和负担:一项队列研究。
Lancet Diabetes Endocrinol. 2023 Feb;11(2):120-128. doi: 10.1016/S2213-8587(22)00355-2. Epub 2023 Jan 6.
7
The bidirectional association between diabetes and long-COVID-19 - A systematic review.糖尿病与长新冠之间的双向关联:系统综述。
Diabetes Res Clin Pract. 2023 Jan;195:110202. doi: 10.1016/j.diabres.2022.110202. Epub 2022 Dec 7.
8
Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes.基于数据驱动的急性 SARS-CoV-2 感染后亚表型识别。
Nat Med. 2023 Jan;29(1):226-235. doi: 10.1038/s41591-022-02116-3. Epub 2022 Dec 1.
9
High-dimensional propensity scores for empirical covariate selection in secondary database studies: Planning, implementation, and reporting.高维倾向得分在二次数据库研究中对经验协变量选择的应用:规划、实施和报告。
Pharmacoepidemiol Drug Saf. 2023 Feb;32(2):93-106. doi: 10.1002/pds.5566. Epub 2022 Nov 22.
10
Body composition and cardiorespiratory fitness in overweight or obese people post COVID-19: A comparative study.新冠疫情后超重或肥胖人群的身体成分与心肺适能:一项比较研究。
Front Physiol. 2022 Sep 21;13:949351. doi: 10.3389/fphys.2022.949351. eCollection 2022.