PDF(Pubmed)
Abstract：
OBJECTIVE: This study aims to explore the relationship between waist circumference and asthma attack in adults.
METHODS: In this cross-sectional study, we analysed data from 5,530 U.S. adults diagnosed with asthma. Participants were categorized into two groups based on their experience of asthma attacks: with or without asthma attacks. We employed adjusted weighted logistic regression models, weighted restricted cubic splines, subgroup and sensitivity analyses to assess the association between waist circumference and asthma attack.
RESULTS: The median age of all participants was 43 years, and the median waist circumference was 98.9 cm, with a median BMI was 28.50 kg/m2. Participants in the asthma attack group had significantly higher waist circumferences than those in the non-attack group (P < 0.001). After full adjustment for body mass index-defined obesity, age, gender, race, education levels, poverty income ratio levels, smoking status, and metabolic syndrome, every 5 cm increase in waist circumference exhibited a 1.06 times higher likelihood of asthma attack probability. The weighted restricted cubic spline analysis demonstrated an increased risk of asthma attacks with rising waist circumference. Subgroup analyses confirmed this relationship across various groups differentiated by gender, age, and smoking status. When applying a stricter definition of asthma attack, the weighted logistic regression models showed robust association between waist circumference and asthma attack.
CONCLUSIONS: Waist circumference is an independent predictor of asthma attacks. Our findings underscore the importance of waist circumference measurement in evaluating the risk of asthma attacks.
METHODS: In this cross-sectional study, we analysed data from 5,530 U.S. adults diagnosed with asthma. Participants were categorized into two groups based on their experience of asthma attacks: with or without asthma attacks. We employed adjusted weighted logistic regression models, weighted restricted cubic splines, subgroup and sensitivity analyses to assess the association between waist circumference and asthma attack.
RESULTS: The median age of all participants was 43 years, and the median waist circumference was 98.9 cm, with a median BMI was 28.50 kg/m2. Participants in the asthma attack group had significantly higher waist circumferences than those in the non-attack group (P < 0.001). After full adjustment for body mass index-defined obesity, age, gender, race, education levels, poverty income ratio levels, smoking status, and metabolic syndrome, every 5 cm increase in waist circumference exhibited a 1.06 times higher likelihood of asthma attack probability. The weighted restricted cubic spline analysis demonstrated an increased risk of asthma attacks with rising waist circumference. Subgroup analyses confirmed this relationship across various groups differentiated by gender, age, and smoking status. When applying a stricter definition of asthma attack, the weighted logistic regression models showed robust association between waist circumference and asthma attack.
CONCLUSIONS: Waist circumference is an independent predictor of asthma attacks. Our findings underscore the importance of waist circumference measurement in evaluating the risk of asthma attacks.
摘要：
目的：本研究旨在探讨成人腰围与哮喘发作之间的关系。
方法：在这项横断面研究中，我们分析了5,530名被诊断为哮喘的美国成年人的数据.参与者根据哮喘发作的经历分为两组：有或没有哮喘发作。我们采用调整加权逻辑回归模型，加权限制三次样条,亚组和敏感性分析评估腰围和哮喘发作之间的关联。
结果：所有参与者的中位年龄为43岁，腰围中位数为98.9厘米，BMI中位数为28.50kg/m2。哮喘发作组患者腰围明显高于非发作组(P<0.001)。在对体重指数定义的肥胖进行全面调整后，年龄,性别,种族,教育水平,贫困收入比水平，吸烟状况,代谢综合征,腰围每增加5cm,哮喘发作的可能性增加1.06倍.加权限制三次样条分析显示，腰围增加，哮喘发作的风险增加。亚组分析证实了按性别区分的不同群体之间的这种关系，年龄,和吸烟状况。当应用更严格的哮喘发作定义时，加权logistic回归模型显示腰围与哮喘发作之间存在密切关联.
结论：腰围是哮喘发作的独立预测因子。我们的发现强调了腰围测量在评估哮喘发作风险中的重要性。
方法：在这项横断面研究中，我们分析了5,530名被诊断为哮喘的美国成年人的数据.参与者根据哮喘发作的经历分为两组：有或没有哮喘发作。我们采用调整加权逻辑回归模型，加权限制三次样条,亚组和敏感性分析评估腰围和哮喘发作之间的关联。
结果：所有参与者的中位年龄为43岁，腰围中位数为98.9厘米，BMI中位数为28.50kg/m2。哮喘发作组患者腰围明显高于非发作组(P<0.001)。在对体重指数定义的肥胖进行全面调整后，年龄,性别,种族,教育水平,贫困收入比水平，吸烟状况,代谢综合征,腰围每增加5cm,哮喘发作的可能性增加1.06倍.加权限制三次样条分析显示，腰围增加，哮喘发作的风险增加。亚组分析证实了按性别区分的不同群体之间的这种关系，年龄,和吸烟状况。当应用更严格的哮喘发作定义时，加权logistic回归模型显示腰围与哮喘发作之间存在密切关联.
结论：腰围是哮喘发作的独立预测因子。我们的发现强调了腰围测量在评估哮喘发作风险中的重要性。
