Associations of socioeconomic status with infectious diseases mediated by lifestyle, environmental pollution and chronic comorbidities: a comprehensive evaluation based on UK Biobank

被引:32
|
作者
Ye, Xiangyu [1 ]
Wang, Yidi [1 ]
Zou, Yixin [1 ]
Tu, Junlan [1 ]
Tang, Weiming [1 ,2 ]
Yu, Rongbin [1 ]
Yang, Sheng [3 ]
Huang, Peng [1 ]
机构
[1] Nanjing Med Univ, Ctr Global Hlth, Sch Publ Hlth, Dept Epidemiol, Nanjing, Peoples R China
[2] Univ N Carolina, Inst Global Hlth & Infect Dis, Chapel Hill, CA USA
[3] Nanjing Med Univ, Ctr Global Hlth, Sch Publ Hlth, Dept Biostat, Nanjing, Peoples R China
基金
英国医学研究理事会; 中国国家自然科学基金; 英国惠康基金;
关键词
Socioeconomic status; Infectious diseases; Healthy lifestyle; Environmental pollution; Chronic comorbidities; AMBIENT AIR-POLLUTION; USE REGRESSION-MODELS; CARDIOVASCULAR-DISEASE; HEALTH; INEQUALITY; EXPOSURE; MIDDLE; RISK; MORTALITY; COVID-19;
D O I
10.1186/s40249-023-01056-5
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
BackgroundSocioeconomic 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.MethodsWe 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.ResultsIn 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.ConclusionsLow 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.
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页数:23
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