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基于美国国家健康和营养检查调查(NHANES)数据库的肺功能与中风风险的关联

Association of pulmonary function with the risk of stroke based on the NHANES database.

作者信息

Shi Licheng, Yang Yin, Su Yingying, Liu Jiannan, Zhu Xuanfeng

机构信息

Department of Respiratory Medicine, Jiangsu Province Official Hospital, Geriatric Hospital of Nanjing Medical University, Nanjing, 210000, China.

Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.

出版信息

BMC Public Health. 2025 Jul 2;25(1):2239. doi: 10.1186/s12889-025-23521-6.

Abstract

BACKGROUND

Stroke is a significant cause of morbidity and mortality worldwide, often associated with various risk factors including age, hypertension, and diabetes. This study aimed to investigate the relationship between pulmonary function and the presence of stroke, accounting for demographic and clinical factors.

METHODS

A total of 6700 participants were enrolled from National Health and Nutrition Examination Survey. Logistic regression analysis was conducted to calculated the odds ratio (OR) and 95% confidence interval (CI) of pulmonary function variables, including forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), and peak expiratory flow rate (PEF), and the risk of stroke.

RESULTS

Participants with stroke were older, had higher body mass index (BMI), and exhibited a higher prevalence of diabetes and hypertension. Additionally, stroke patients had significantly lower levels of FEV1, FVC, and PEF. Higher quartiles of FEV1 (OR 0.21, 95%CI 0.05 to 0.67; P = 0.014), FVC (OR 0.29, 95%CI 0.10 to 0.82; P = 0.023), and PEF (OR 0.22, 95%CI 0.08 to 0.57; P = 0.003) were independently associated with risk of stroke after adjustment for demographic and clinical variables.

CONCLUSION

Higher levels of FEV1, FVC, and PEF were consistently associated with a reduced risk of stroke. These results highlight the potential importance of monitoring pulmonary function as a marker for stroke risk assessment and warrant further investigation into the underlying mechanisms of this association.

摘要

背景

中风是全球发病和死亡的重要原因,常与多种风险因素相关,包括年龄、高血压和糖尿病。本研究旨在探讨肺功能与中风存在之间的关系,并考虑人口统计学和临床因素。

方法

从国家健康与营养检查调查中纳入了总共6700名参与者。进行逻辑回归分析以计算肺功能变量的比值比(OR)和95%置信区间(CI),这些变量包括1秒用力呼气量(FEV1)、用力肺活量(FVC)和呼气峰值流速(PEF),以及中风风险。

结果

中风患者年龄更大,体重指数(BMI)更高,糖尿病和高血压患病率更高。此外,中风患者的FEV1、FVC和PEF水平显著更低。在调整人口统计学和临床变量后,FEV1(OR 0.21,95%CI 0.05至0.67;P = 0.014)、FVC(OR 0.29,95%CI 0.10至0.82;P = 0.023)和PEF(OR 0.22,95%CI 0.08至0.57;P = 0.003)的较高四分位数与中风风险独立相关。

结论

较高水平的FEV1、FVC和PEF始终与中风风险降低相关。这些结果突出了监测肺功能作为中风风险评估标志物的潜在重要性,并值得进一步研究这种关联的潜在机制。

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