{"title":"COVID-19大流行封锁期间心脑血管危险因素患病率增加:一项大型、单中心、横断面研究","authors":"Jinjing Lu, Yanyan Shen, Xiaoying Liu, Yuqiang Mao, Li Jing, Zhiyong Yang, Dongmei Pei, Weiwei Dong","doi":"10.1186/s12916-025-04193-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The COVID-19 pandemic prompted over 170 countries to implement lockdowns, significantly altering lifestyles and potentially impacting cardio-cerebrovascular risk factors (CCVRFs). This study evaluates changes in CCVRFs before, during, and after the lockdown, stratified by population subgroups. We aim to mitigate the lockdown's impact on CCVRFs, address knowledge gaps, and inform future health management strategies.</p><p><strong>Methods: </strong>This cross-sectional study analyzed preventive health assessment data of individuals at the Health Management Center of Shengjing Hospital, China Medical University. The study covers three timeframes: pre-pandemic (January 1, 2017, to December 31, 2019), during the pandemic lockdown (January 1, 2020, to December 31, 2022), and after the pandemic lockdown (January 1, 2023, to December 31, 2023). The primary outcome was the change in prevalence of hypertension, dyslipidemia, diabetes mellitus, systemic inflammation index, and insulin resistance index before, during, and after the COVID-19 pandemic lockdown. Additionally, multivariate linear or logistic regression analysis the association between changes in CCVRFs and the COVID-19 pandemic lockdown.</p><p><strong>Results: </strong>This study included 46,958 participants: 21,062 pre-pandemic, 18,164 during lockdown, and 7732 post-lockdown. Compared to pre- and post-lockdown periods, diabetes mellitus incidence significantly increased during lockdown. Systemic immune indicators (neutrophil-to-lymphocyte ratio [NLR], platelet-to-lymphocyte ratio [PLR], systemic immune-inflammation index [SII]) and insulin resistance markers (triglyceride-glucose index [TyG], TyG-body mass index [TyG-BMI]) also increased significantly. Subgroup analyses revealed more pronounced changes in CCVRFs among individuals over 60 during lockdown. Multivariate analysis showed a significant association between lockdown and CCVRFs, with adjusted odds ratios (OR) and β values (95% confidence intervals) as follows: diabetes mellitus 1.37 (1.28-1.47), PLR 5.44 (4.77-6.11), NLR 0.05 (0.04-0.06), SII 5.28 (1.91-8.65), TyG 0.03 (0.02-0.05), and TyG-BMI 4.16 (3.47-4.84).</p><p><strong>Conclusions: </strong>In this cross-sectional study, the prevalence of diabetes mellitus, systemic inflammation index, and insulin resistance index increased during the COVID-19 pandemic lockdown, highlighting the importance of proactively managing CCVRFs during and after the pandemic lockdowns.</p>","PeriodicalId":9188,"journal":{"name":"BMC Medicine","volume":"23 1","pages":"414"},"PeriodicalIF":7.0000,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12239424/pdf/","citationCount":"0","resultStr":"{\"title\":\"Increased prevalence of cardio-cerebrovascular risk factors during the COVID-19 pandemic lockdown: a large, single center, cross-sectional study.\",\"authors\":\"Jinjing Lu, Yanyan Shen, Xiaoying Liu, Yuqiang Mao, Li Jing, Zhiyong Yang, Dongmei Pei, Weiwei Dong\",\"doi\":\"10.1186/s12916-025-04193-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The COVID-19 pandemic prompted over 170 countries to implement lockdowns, significantly altering lifestyles and potentially impacting cardio-cerebrovascular risk factors (CCVRFs). This study evaluates changes in CCVRFs before, during, and after the lockdown, stratified by population subgroups. We aim to mitigate the lockdown's impact on CCVRFs, address knowledge gaps, and inform future health management strategies.</p><p><strong>Methods: </strong>This cross-sectional study analyzed preventive health assessment data of individuals at the Health Management Center of Shengjing Hospital, China Medical University. The study covers three timeframes: pre-pandemic (January 1, 2017, to December 31, 2019), during the pandemic lockdown (January 1, 2020, to December 31, 2022), and after the pandemic lockdown (January 1, 2023, to December 31, 2023). The primary outcome was the change in prevalence of hypertension, dyslipidemia, diabetes mellitus, systemic inflammation index, and insulin resistance index before, during, and after the COVID-19 pandemic lockdown. Additionally, multivariate linear or logistic regression analysis the association between changes in CCVRFs and the COVID-19 pandemic lockdown.</p><p><strong>Results: </strong>This study included 46,958 participants: 21,062 pre-pandemic, 18,164 during lockdown, and 7732 post-lockdown. Compared to pre- and post-lockdown periods, diabetes mellitus incidence significantly increased during lockdown. Systemic immune indicators (neutrophil-to-lymphocyte ratio [NLR], platelet-to-lymphocyte ratio [PLR], systemic immune-inflammation index [SII]) and insulin resistance markers (triglyceride-glucose index [TyG], TyG-body mass index [TyG-BMI]) also increased significantly. Subgroup analyses revealed more pronounced changes in CCVRFs among individuals over 60 during lockdown. Multivariate analysis showed a significant association between lockdown and CCVRFs, with adjusted odds ratios (OR) and β values (95% confidence intervals) as follows: diabetes mellitus 1.37 (1.28-1.47), PLR 5.44 (4.77-6.11), NLR 0.05 (0.04-0.06), SII 5.28 (1.91-8.65), TyG 0.03 (0.02-0.05), and TyG-BMI 4.16 (3.47-4.84).</p><p><strong>Conclusions: </strong>In this cross-sectional study, the prevalence of diabetes mellitus, systemic inflammation index, and insulin resistance index increased during the COVID-19 pandemic lockdown, highlighting the importance of proactively managing CCVRFs during and after the pandemic lockdowns.</p>\",\"PeriodicalId\":9188,\"journal\":{\"name\":\"BMC Medicine\",\"volume\":\"23 1\",\"pages\":\"414\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12239424/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12916-025-04193-w\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12916-025-04193-w","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Increased prevalence of cardio-cerebrovascular risk factors during the COVID-19 pandemic lockdown: a large, single center, cross-sectional study.
Background: The COVID-19 pandemic prompted over 170 countries to implement lockdowns, significantly altering lifestyles and potentially impacting cardio-cerebrovascular risk factors (CCVRFs). This study evaluates changes in CCVRFs before, during, and after the lockdown, stratified by population subgroups. We aim to mitigate the lockdown's impact on CCVRFs, address knowledge gaps, and inform future health management strategies.
Methods: This cross-sectional study analyzed preventive health assessment data of individuals at the Health Management Center of Shengjing Hospital, China Medical University. The study covers three timeframes: pre-pandemic (January 1, 2017, to December 31, 2019), during the pandemic lockdown (January 1, 2020, to December 31, 2022), and after the pandemic lockdown (January 1, 2023, to December 31, 2023). The primary outcome was the change in prevalence of hypertension, dyslipidemia, diabetes mellitus, systemic inflammation index, and insulin resistance index before, during, and after the COVID-19 pandemic lockdown. Additionally, multivariate linear or logistic regression analysis the association between changes in CCVRFs and the COVID-19 pandemic lockdown.
Results: This study included 46,958 participants: 21,062 pre-pandemic, 18,164 during lockdown, and 7732 post-lockdown. Compared to pre- and post-lockdown periods, diabetes mellitus incidence significantly increased during lockdown. Systemic immune indicators (neutrophil-to-lymphocyte ratio [NLR], platelet-to-lymphocyte ratio [PLR], systemic immune-inflammation index [SII]) and insulin resistance markers (triglyceride-glucose index [TyG], TyG-body mass index [TyG-BMI]) also increased significantly. Subgroup analyses revealed more pronounced changes in CCVRFs among individuals over 60 during lockdown. Multivariate analysis showed a significant association between lockdown and CCVRFs, with adjusted odds ratios (OR) and β values (95% confidence intervals) as follows: diabetes mellitus 1.37 (1.28-1.47), PLR 5.44 (4.77-6.11), NLR 0.05 (0.04-0.06), SII 5.28 (1.91-8.65), TyG 0.03 (0.02-0.05), and TyG-BMI 4.16 (3.47-4.84).
Conclusions: In this cross-sectional study, the prevalence of diabetes mellitus, systemic inflammation index, and insulin resistance index increased during the COVID-19 pandemic lockdown, highlighting the importance of proactively managing CCVRFs during and after the pandemic lockdowns.
期刊介绍:
BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.