The current study used multivariable logistic regression analysis to investigate associations between the intake frequencies of 13 food groups(or four diet groups)and infectious diseases.The analysis included 487849 p...The current study used multivariable logistic regression analysis to investigate associations between the intake frequencies of 13 food groups(or four diet groups)and infectious diseases.The analysis included 487849 participants from the UK Biobank,with 75209 participants diagnosed with infectious diseases.Participants reporting the highest intake frequency of processed meat(odds ratio[OR]=1.0964,95%confidence interval[CI]:1.0622–1.1318)and red meat(OR=1.0895,95%CI:1.0563–1.1239)had a higher risk of infectious diseases,compared with those with the lowest intake frequency.Consuming fish 2.0–2.9 times(OR=0.8221,95%CI:0.7955–0.8496),cheese≥5.0 times(OR=0.8822,95%CI:0.8559–0.9092),fruit 3.0–3.9 servings(OR=0.8867,95%CI:0.8661–0.9078),and vegetables 2.0–2.9 servings(OR=0.9372,95%CI:0.9189–0.9559)per week were associated with a lower risk of infection.Low meat-eaters(OR=0.9404,95%CI:0.9243–0.9567),fish-eaters(OR=0.8391,95%CI:0.7887–0.8919),and vegetarians(OR=0.9154,95%CI:0.8561–0.9778)had a lower risk of infectious diseases,compared with regular meat-eaters.The mediation analysis revealed that glycosylated hemoglobin,white blood cell count,and body mass index served as the mediators in the associations between diet and infectious diseases.The current study indicates that the intake frequency of food groups is a risk factor for infectious diseases,and fish-eaters have a lower risk of infection.展开更多
Background Socioeconomic status(SES)inequity was recognized as a driver of some certain infectious diseases.However,few studies evaluated the association between SES and the burden of overall infections,and even fewer...Background Socioeconomic status(SES)inequity was recognized as a driver of some certain infectious diseases.However,few studies evaluated the association between SES and the burden of overall infections,and even fewer identified preventable mediators.This study aimed to assess the association between SES and overall infectious diseases burden,and the potential roles of factors including lifestyle,environmental pollution,chronic disease history.Methods We included 401,009 participants from the UK Biobank(UKB)and defined the infection status for each participant according to their diagnosis records.Latent class analysis(LCA)was used to define SES for each participant.We further defined healthy lifestyle score,environment pollution score(EPS)and four types of chronic comorbidities.We used multivariate logistic regression to test the associations between the four above covariates and infectious diseases.Then,we performed the mediation and interaction analysis to explain the relationships between SES and other variables on infectious diseases.Finally,we employed seven types of sensitivity analyses,including considering the Townsend deprivation index as an area level SES variable,repeating our main analysis for some individual or composite factors and in some subgroups,as well as in an external data from the US National Health and Nutrition Examination Survey,to verify the main results.Results In UKB,60,771(15.2%)participants were diagnosed with infectious diseases during follow-up.Lower SES[odds ratio(OR)=1.5570]were associated with higher risk of overall infections.Lifestyle score mediated 2.9%of effects from SES,which ranged from 2.9 to 4.0%in different infection subtypes,while cardiovascular disease(CVD)mediated a proportion of 6.2%with a range from 2.1 to 6.8%.In addition,SES showed significant negative interaction with lifestyle score(OR=0.8650)and a history of cancer(OR=0.9096),while a significant synergy interaction was observed between SES and EPS(OR=1.0024).In subgroup analysis,we found that males and African(AFR)with lower SES showed much higher infection risk.Results from sensitivity and validation analyses showed relative consistent with the main analysis.Conclusions Low SES is shown to be an important risk factor for infectious disease,part of which may be mediated by poor lifestyle and chronic comorbidities.Efforts to enhance health education and improve the quality of living environment may help reduce burden of infectious disease,especially for people with low SES.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.82173585 and 82273741)the Natural Science Foundation of Jiangsu Higher Education Institutions of China(Grant Nos.21KJB330005 and 22KJB330007)+1 种基金the Nanjing Major Science and Technology Project(Grant No.2021-11005)the Priority Academic Program Development of Jiangsu Higher Education Institutions.
文摘The current study used multivariable logistic regression analysis to investigate associations between the intake frequencies of 13 food groups(or four diet groups)and infectious diseases.The analysis included 487849 participants from the UK Biobank,with 75209 participants diagnosed with infectious diseases.Participants reporting the highest intake frequency of processed meat(odds ratio[OR]=1.0964,95%confidence interval[CI]:1.0622–1.1318)and red meat(OR=1.0895,95%CI:1.0563–1.1239)had a higher risk of infectious diseases,compared with those with the lowest intake frequency.Consuming fish 2.0–2.9 times(OR=0.8221,95%CI:0.7955–0.8496),cheese≥5.0 times(OR=0.8822,95%CI:0.8559–0.9092),fruit 3.0–3.9 servings(OR=0.8867,95%CI:0.8661–0.9078),and vegetables 2.0–2.9 servings(OR=0.9372,95%CI:0.9189–0.9559)per week were associated with a lower risk of infection.Low meat-eaters(OR=0.9404,95%CI:0.9243–0.9567),fish-eaters(OR=0.8391,95%CI:0.7887–0.8919),and vegetarians(OR=0.9154,95%CI:0.8561–0.9778)had a lower risk of infectious diseases,compared with regular meat-eaters.The mediation analysis revealed that glycosylated hemoglobin,white blood cell count,and body mass index served as the mediators in the associations between diet and infectious diseases.The current study indicates that the intake frequency of food groups is a risk factor for infectious diseases,and fish-eaters have a lower risk of infection.
基金Natural Science Foundation of China(Nos.82173585 and 82273741)Natural Science Foundation of Jiangsu Higher Education Institutions of China(Nos.21KJB330005 and 22KJB330007)+1 种基金Nanjing Important Science&Technology Specific Projects(No.2021-11005)Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)
文摘Background Socioeconomic status(SES)inequity was recognized as a driver of some certain infectious diseases.However,few studies evaluated the association between SES and the burden of overall infections,and even fewer identified preventable mediators.This study aimed to assess the association between SES and overall infectious diseases burden,and the potential roles of factors including lifestyle,environmental pollution,chronic disease history.Methods We included 401,009 participants from the UK Biobank(UKB)and defined the infection status for each participant according to their diagnosis records.Latent class analysis(LCA)was used to define SES for each participant.We further defined healthy lifestyle score,environment pollution score(EPS)and four types of chronic comorbidities.We used multivariate logistic regression to test the associations between the four above covariates and infectious diseases.Then,we performed the mediation and interaction analysis to explain the relationships between SES and other variables on infectious diseases.Finally,we employed seven types of sensitivity analyses,including considering the Townsend deprivation index as an area level SES variable,repeating our main analysis for some individual or composite factors and in some subgroups,as well as in an external data from the US National Health and Nutrition Examination Survey,to verify the main results.Results In UKB,60,771(15.2%)participants were diagnosed with infectious diseases during follow-up.Lower SES[odds ratio(OR)=1.5570]were associated with higher risk of overall infections.Lifestyle score mediated 2.9%of effects from SES,which ranged from 2.9 to 4.0%in different infection subtypes,while cardiovascular disease(CVD)mediated a proportion of 6.2%with a range from 2.1 to 6.8%.In addition,SES showed significant negative interaction with lifestyle score(OR=0.8650)and a history of cancer(OR=0.9096),while a significant synergy interaction was observed between SES and EPS(OR=1.0024).In subgroup analysis,we found that males and African(AFR)with lower SES showed much higher infection risk.Results from sensitivity and validation analyses showed relative consistent with the main analysis.Conclusions Low SES is shown to be an important risk factor for infectious disease,part of which may be mediated by poor lifestyle and chronic comorbidities.Efforts to enhance health education and improve the quality of living environment may help reduce burden of infectious disease,especially for people with low SES.
