Exploration into the relationship between dietary patterns and asthma based on Bayesian Poisson regression
Objective To explore the relationship between dietary patterns and the prevalence of asthma among residents in Gansu Province.Methods Based on the dietary and asthma prevalence data of permanent residents aged 35 to 74 years old collected in the baseline survey of the Urban and Rural Natural Population Cohort Establishment and Tumor Follow-up Study in Gansu Province,dietary patterns were established using factor analysis,and then the Bayesian Poisson regression model was built to analyze the relationship between dietary patterns and the prevalence of asthma.Results Of the 17 556 respondents,the prevalence rate of asthma was 0.66％.Five dietary patterns were extracted through factor analysis.After adjusting age,the type of medical insurance,physical exercise,gender,and body mass index(BMI),the sugar-fat pattern and the oil-fat pattern were found to be positively associated with the prevalence of asthma,with their RR values(95％CI)being 1.192(1.016-1.393)and 1.254(1.035-1.503),respectively.Conclusion The sugar-fat pattern and oil-fat pattern can increase the risk of asthma,and the onset and progression of asthma should be prevented through a reasonable diet.
asthmadietary patternfactor analysisBayesian model
万方数据
维普
