» Articles » PMID: 38664662

The Association Between Waist Circumference and Adult Asthma Attack Using Nationally Representative Samples

Overview
Publisher Biomed Central
Specialty Public Health
Date 2024 Apr 25
PMID 38664662
Authors
Affiliations
Soon will be listed here.
Abstract

Aims: 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/m. 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.

Conclusion: 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.

References
1.
Wang Y, Rimm E, Stampfer M, Willett W, Hu F . Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men. Am J Clin Nutr. 2005; 81(3):555-63. DOI: 10.1093/ajcn/81.3.555. View

2.
Tang M, Liu M, Zhang Y, Xie R . Association of family income to poverty ratio and vibration-controlled transient elastography quantified degree of hepatic steatosis in U.S. adolescents. Front Endocrinol (Lausanne). 2023; 14:1160625. PMC: 10079211. DOI: 10.3389/fendo.2023.1160625. View

3.
. Global, regional, and national deaths, prevalence, disability-adjusted life years, and years lived with disability for chronic obstructive pulmonary disease and asthma, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet Respir Med. 2017; 5(9):691-706. PMC: 5573769. DOI: 10.1016/S2213-2600(17)30293-X. View

4.
Yusuf S, Hawken S, Ounpuu S, Bautista L, Franzosi M, Commerford P . Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case-control study. Lancet. 2005; 366(9497):1640-9. DOI: 10.1016/S0140-6736(05)67663-5. View

5.
Kosmalski M, Rozycka-Kosmalska M, Witusik A, Pietras T . The coincidence of diabetes mellitus and asthma, their probable causal relationships and therapeutic opportunities. Adv Respir Med. 2021; 88(6):590-598. DOI: 10.5603/ARM.a2020.0168. View