3.8 Review

Asthma and metabolic syndrome: a comprehensive systematic review and meta-analysis of observational studies

Journal

JOURNAL OF CARDIOVASCULAR AND THORACIC RESEARCH
Volume 12, Issue 2, Pages 120-128

Publisher

TABRIZ UNIV MEDICAL SCIENCES & HEALTH SERVICES
DOI: 10.34172/jcvtr.2020.20

Keywords

Metabolic Syndrome; Prevalence; Asthma; Epidemiology; Meta-analysis

Funding

  1. Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran [20974]

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Introduction: This study aimed to perform a meta-analysis on the prevalence of metabolic syndrome (MetS) among patients with asthma and to measure the association asthma has with MetS. Methods: The Web of Science, Medline, Scopus, Embase and Google Scholar were searched using the Asthma, Metabolic Syndrome, Dysmetabolic Syndrome, Cardiovascular Syndrome, Insulin Resistance Syndrome, Prevalence, Odds Ratio, Cross-Sectional Studies, and Case-Control Studies keywords. All observational studies reporting the prevalence of MetS among people with and without asthma were included in the study. In the presence of heterogeneity, random-effects models were used to pool the prevalence and odds ratios (OR), as measures of association in cross-sectional and case-control/ cohort studies, respectively. Results: The prevalence of MetS among patients with asthma (8 studies) and the OR comparing the prevalence of MetS among patients with and without asthma (5 studies) were pooled separately. The pooled prevalence of MetS among patients with asthma was found to be 25% (95% confidence interval (CI): 13%-38%). In contrast, the overall pooled OR for MetS in patients with asthma, compared to healthy controls, was 1.34 (95% CI: 0.91-1.76), which was not statistically significant. Conclusion: The prevalence of MetS was relatively high in patients with asthma. Furthermore, the odds of MetS was higher in patients with asthma, compared to healthy controls, although this difference was not statistically significant. More original studies among different populations are needed in order to more accurately examine the association between asthma and MetS, as well as the relationship asthma has with the individual components of MetS.

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