ArticleFrontiers in nutrition2024
The dietary inflammatory index and asthma prevalence: a cross-sectional analysis from NHANES.
Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Article
- Associations of inflammatory burden index with the prevalence and mortality of asthma in adults: a population based study.Journal of thoracic disease · 2025Article
- Association of the skeletal muscle mass to visceral fat area ratio with metabolically healthy obesity and metabolically unhealthy non-obesity: a cross-sectional study based on NHANES 2011-2018.Lipids in health and disease · 2025Article
- Association between different modes of physical activity and sleep disorders in young and middle-aged adults: a population-based study.European journal of medical research · 2025Article
- Association between asthma and polyunsaturated fatty acids intake in Brazilian adolescents: study of cardiovascular risk in adolescents-ERICA.Frontiers in public health · 2025Article
- Dietary fiber and fatty acids may impact clinical outcomes in pediatric obesity-associated asthma: insights from the SOAP study.Frontiers in nutrition · 2025Article
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Abstract
Background: Inflammation is a key factor in the development of asthma, and diet significantly influences inflammatory responses. This study examines the relationship between the Dietary Inflammatory Index (DII) and asthma prevalence. Methods: We conducted a cross-sectional analysis using data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. Demographic details, anthropometric measurements, dietary habits, lifestyle factors, and asthma status were recorded for all participants. Multivariable logistic regression was utilized to assess the relationship between DII and asthma prevalence. Additionally, restricted cubic spline (RCS) analysis was employed to explore the nonlinearity and dose-response relationship between DII and asthma risk. Subgroup analyses were stratified by gender, age, race, body mass index (BMI), poverty income ratio (PIR), education, smoking status, alcohol use, and family medical history to dissect the association between DII and asthma across diverse populations. Results: The analysis included 37,283 adults from NHANES. After adjusting for potential confounders in the multivariable logistic regression model, a significant positive association was identified between DII and asthma (OR, 95% CI: 1.05, 1.02-1.09, per 1 SD increase). The RCS analysis revealed a nonlinear association ( Conclusion: The findings underscore a significant and nonlinear association between DII and asthma. To enhance asthma prevention and management, greater emphasis should be placed on modulating dietary-induced inflammation.
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