Associations of diet with infectious diseases in UK BiobankOA
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.
Junlan Tu;Xuehong Cai;Yifan Wang;Xiangyu Ye;Meijie Yu;Sheng Yang;Rongbin Yu;Peng Huang
Department of Epidemiology,Center for Global Health,School of Public Health,National Vaccine Innovation Platform,Nanjing Medical University,Nanjing,Jiangsu 211166,ChinaDepartment of Epidemiology,Center for Global Health,School of Public Health,National Vaccine Innovation Platform,Nanjing Medical University,Nanjing,Jiangsu 211166,ChinaDepartment of Infectious Disease,Jurong Hospital Affiliated to Jiangsu University,Jurong,Jiangsu 212400,ChinaDepartment of Epidemiology,Center for Global Health,School of Public Health,National Vaccine Innovation Platform,Nanjing Medical University,Nanjing,Jiangsu 211166,ChinaDepartment of Epidemiology,Center for Global Health,School of Public Health,National Vaccine Innovation Platform,Nanjing Medical University,Nanjing,Jiangsu 211166,ChinaDepartment of Biostatistics,Center for Global Health,School of Public Health,National Vaccine Innovation Platform,Nanjing Medical University,Nanjing,Jiangsu 211166,ChinaDepartment of Epidemiology,Center for Global Health,School of Public Health,National Vaccine Innovation Platform,Nanjing Medical University,Nanjing,Jiangsu 211166,ChinaDepartment of Epidemiology,Center for Global Health,School of Public Health,National Vaccine Innovation Platform,Nanjing Medical University,Nanjing,Jiangsu 211166,China
预防医学
infectious diseasesdietfood groupsUK Biobankmediation analysis
《Journal of Biomedical Research》 2024 (6)
P.597-612,16
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)the Nanjing Major Science and Technology Project(Grant No.2021-11005)the Priority Academic Program Development of Jiangsu Higher Education Institutions.
评论