{"title":"体重指数与卒中复发风险之间的关系:系统评价和剂量反应Meta分析","authors":"Qiuxia Qian, Yuting Zhao, Xin Fan, Jialu Li, Jianxun Cao, Mengyu Yang, Longchun Hua, Xingxia Zhang, Ailing Yang, Fengwa Zhang, Yuxia Ma","doi":"10.1002/brb3.70550","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>To explore the relationship between body mass index (BMI) and the recurrence risk of stroke.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We searched databases, including the Web of Science, Cochrane Library, Embase, PubMed, Chinese Biomedical Literature (CBM), CQVIP, WanFang Database, and China National Knowledge Infrastructure (CNKI), from inception to February 2025, to collect literature on BMI and the recurrence risk of stroke. After two researchers independently screened the literature, extracted the literature data, and assessed the quality of the literature included in the study, a meta-analysis was conducted using Stata 16.0 software, and the dose–response relationship between BMI and the recurrence risk of stroke was analyzed using generalized least squares trend estimation method (GLST) and restricted cubic spline function.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>A total of 18 studies were included, involving 165,366 patients. In terms of stroke recurrence risk, compared with normal-weight patients, underweight patients [relative risk (RR) = 1.59, 95% confidence interval (CI) 1.33–1.90, <i>I</i><sup>2</sup> = 0%, <i>p </i>= 0.444] had a higher recurrence risk of stroke, whereas overweight (RR = 0.91, 95% CI 0.86–0.96, <i>I</i><sup>2</sup> = 0%, <i>p </i>= 0.454) and obese patients (RR = 0.89, 95% CI 0.84–0.94, <i>I</i><sup>2</sup> = 13.1%, <i>p </i>= 0.330) had a lower recurrence risk of stroke. The results of the linear trend show that for every unit increase in BMI, the recurrence risk of stroke decreases by 2% (RR = 0.98, 95% CI 0.96–0.99, <i>p </i>< 0.001).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Increased BMI is associated with a decreased recurrence risk of stroke. Underweight is a risk factor for stroke recurrence, whereas overweight and obesity are protective factors for stroke recurrence. Overweight and obesity may be beneficial for secondary prevention in stroke patients.</p>\n </section>\n \n <section>\n \n <h3> Clinical Trial Registration</h3>\n \n <p>Not applicable.</p>\n </section>\n </div>","PeriodicalId":9081,"journal":{"name":"Brain and Behavior","volume":"15 6","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/brb3.70550","citationCount":"0","resultStr":"{\"title\":\"The Relationship Between Body Mass Index and Recurrence Risk of Stroke: A Systematic Review and Dose–Response Meta‑Analysis\",\"authors\":\"Qiuxia Qian, Yuting Zhao, Xin Fan, Jialu Li, Jianxun Cao, Mengyu Yang, Longchun Hua, Xingxia Zhang, Ailing Yang, Fengwa Zhang, Yuxia Ma\",\"doi\":\"10.1002/brb3.70550\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>To explore the relationship between body mass index (BMI) and the recurrence risk of stroke.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>We searched databases, including the Web of Science, Cochrane Library, Embase, PubMed, Chinese Biomedical Literature (CBM), CQVIP, WanFang Database, and China National Knowledge Infrastructure (CNKI), from inception to February 2025, to collect literature on BMI and the recurrence risk of stroke. After two researchers independently screened the literature, extracted the literature data, and assessed the quality of the literature included in the study, a meta-analysis was conducted using Stata 16.0 software, and the dose–response relationship between BMI and the recurrence risk of stroke was analyzed using generalized least squares trend estimation method (GLST) and restricted cubic spline function.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>A total of 18 studies were included, involving 165,366 patients. In terms of stroke recurrence risk, compared with normal-weight patients, underweight patients [relative risk (RR) = 1.59, 95% confidence interval (CI) 1.33–1.90, <i>I</i><sup>2</sup> = 0%, <i>p </i>= 0.444] had a higher recurrence risk of stroke, whereas overweight (RR = 0.91, 95% CI 0.86–0.96, <i>I</i><sup>2</sup> = 0%, <i>p </i>= 0.454) and obese patients (RR = 0.89, 95% CI 0.84–0.94, <i>I</i><sup>2</sup> = 13.1%, <i>p </i>= 0.330) had a lower recurrence risk of stroke. The results of the linear trend show that for every unit increase in BMI, the recurrence risk of stroke decreases by 2% (RR = 0.98, 95% CI 0.96–0.99, <i>p </i>< 0.001).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>Increased BMI is associated with a decreased recurrence risk of stroke. Underweight is a risk factor for stroke recurrence, whereas overweight and obesity are protective factors for stroke recurrence. 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引用次数: 0
摘要
目的探讨身体质量指数(BMI)与脑卒中复发风险的关系。方法检索Web of Science、Cochrane Library、Embase、PubMed、Chinese Biomedical Literature (CBM)、CQVIP、万方数据库、中国知网(CNKI)等数据库,收集BMI与脑卒中复发风险的相关文献,检索时间自成立至2025年2月。经两位研究者独立筛选文献,提取文献资料,评估纳入研究的文献质量后,采用Stata 16.0软件进行meta分析,并采用广义最小二乘趋势估计法(GLST)和受限三次样条函数分析BMI与卒中复发风险的剂量-反应关系。结果共纳入18项研究,共纳入165366例患者。在卒中复发风险方面,与正常体重患者相比,体重过轻患者[相对危险度(RR) = 1.59, 95%可信区间(CI) 1.33-1.90, I2 = 0%, p = 0.444]卒中复发风险较高,而超重患者(RR = 0.91, 95% CI 0.86-0.96, I2 = 0%, p = 0.454)和肥胖患者(RR = 0.89, 95% CI 0.84-0.94, I2 = 13.1%, p = 0.330)卒中复发风险较低。线性趋势结果显示,BMI每增加一个单位,卒中复发风险降低2% (RR = 0.98, 95% CI 0.96 ~ 0.99, p <;0.001)。结论BMI升高与卒中复发风险降低相关。体重过轻是中风复发的危险因素,而超重和肥胖是中风复发的保护因素。超重和肥胖可能有利于卒中患者的二级预防。临床试验注册不适用。
The Relationship Between Body Mass Index and Recurrence Risk of Stroke: A Systematic Review and Dose–Response Meta‑Analysis
Objective
To explore the relationship between body mass index (BMI) and the recurrence risk of stroke.
Methods
We searched databases, including the Web of Science, Cochrane Library, Embase, PubMed, Chinese Biomedical Literature (CBM), CQVIP, WanFang Database, and China National Knowledge Infrastructure (CNKI), from inception to February 2025, to collect literature on BMI and the recurrence risk of stroke. After two researchers independently screened the literature, extracted the literature data, and assessed the quality of the literature included in the study, a meta-analysis was conducted using Stata 16.0 software, and the dose–response relationship between BMI and the recurrence risk of stroke was analyzed using generalized least squares trend estimation method (GLST) and restricted cubic spline function.
Results
A total of 18 studies were included, involving 165,366 patients. In terms of stroke recurrence risk, compared with normal-weight patients, underweight patients [relative risk (RR) = 1.59, 95% confidence interval (CI) 1.33–1.90, I2 = 0%, p = 0.444] had a higher recurrence risk of stroke, whereas overweight (RR = 0.91, 95% CI 0.86–0.96, I2 = 0%, p = 0.454) and obese patients (RR = 0.89, 95% CI 0.84–0.94, I2 = 13.1%, p = 0.330) had a lower recurrence risk of stroke. The results of the linear trend show that for every unit increase in BMI, the recurrence risk of stroke decreases by 2% (RR = 0.98, 95% CI 0.96–0.99, p < 0.001).
Conclusion
Increased BMI is associated with a decreased recurrence risk of stroke. Underweight is a risk factor for stroke recurrence, whereas overweight and obesity are protective factors for stroke recurrence. Overweight and obesity may be beneficial for secondary prevention in stroke patients.
期刊介绍:
Brain and Behavior is supported by other journals published by Wiley, including a number of society-owned journals. The journals listed below support Brain and Behavior and participate in the Manuscript Transfer Program by referring articles of suitable quality and offering authors the option to have their paper, with any peer review reports, automatically transferred to Brain and Behavior.
* [Acta Psychiatrica Scandinavica](https://publons.com/journal/1366/acta-psychiatrica-scandinavica)
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* [Criminal Behaviour and Mental Health](https://publons.com/journal/3839/criminal-behaviour-and-mental-health)
* [Depression and Anxiety](https://publons.com/journal/1528/depression-and-anxiety)
* Developmental Neurobiology
* [Developmental Science](https://publons.com/journal/1069/developmental-science)
* [European Journal of Neuroscience](https://publons.com/journal/1441/european-journal-of-neuroscience)
* [Genes, Brain and Behavior](https://publons.com/journal/1635/genes-brain-and-behavior)
* [GLIA](https://publons.com/journal/1287/glia)
* [Hippocampus](https://publons.com/journal/1056/hippocampus)
* [Human Brain Mapping](https://publons.com/journal/500/human-brain-mapping)
* [Journal for the Theory of Social Behaviour](https://publons.com/journal/7330/journal-for-the-theory-of-social-behaviour)
* [Journal of Comparative Neurology](https://publons.com/journal/1306/journal-of-comparative-neurology)
* [Journal of Neuroimaging](https://publons.com/journal/6379/journal-of-neuroimaging)
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* [Journal of Organizational Behavior](https://publons.com/journal/1123/journal-of-organizational-behavior)
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