Objective To clarify the current status and correlation between dietary patterns and dyslipidemia among military pilots in order to provide a theoretical basis for improving their combat effectiveness.Methods A status survey was conducted using a simplified food frequency questionnaire to obtain nutritional information on pilots'diets.Factor analysis was then applied to establish dietary patterns.Logistic regression analysis was used to identify the correlation between the prevalence of dyslipidemia and these dietary patterns.Results Among the 132 study participants,the prevalence of dyslipidemia was 9.10％(12/132).The factor analysis identified six dietary patterns:sweet beverage and seafood pattern,vegetable and roughage pattern,staple food pattern,processed meat and mushroom pattern,milk and egg pattern,and rice and wine pattern.After adjusting for potential confounding factors,multivariate logistic regression analysis revealed that the milk and egg pattern was negatively correlated with the risk of dyslipidemia by comparing the highest and lowest quantiles(T3∶T1,OR=0.014),while the processed meat and mushroom pattern was positively correlated with the risk of dyslipidemia(T3∶T1,OR=19.628).The sweet beverage and seafood pattern,vegetable and roughage pattern,staple food pattern,and rice and wine pattern were not found to be correlated with the risk of dyslipidemia.Conclusion Dietary patterns rich in milk and eggs may reduce the risk of dyslipidemia,while patterns rich in processed meat and mushrooms may increase the risk of dyslipidemia.
维普
万方数据