Association of modifiable risk factors and infectious diseases among individuals with hypertension: a prospective cohort study.

IF 3.4 3区 医学 Q2 INFECTIOUS DISEASES BMC Infectious Diseases Pub Date : 2024-10-15 DOI:10.1186/s12879-024-10064-1
Niandan Hu, Bo Ai, Yaohuai Wang, Yongdong Ren, Hairui Chen, Zhen Chen, Wenqiang Li
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Abstract

Background: A comprehensive assessment of combined modifiable risk factors in relation to infectious diseases among individuals with hypertension is lacking, and the potential mechanisms of these associations remain unclear. To investigate the prospective associations of a combination of lifestyle behaviors and cardiometabolic factors with the risk of infectious diseases among individuals with hypertension and to estimate whether and to what extent blood biomarkers mediate these associations.

Methods: This cohort study included 147,188 participants with hypertension and complete data on modifiable risk factors from the UK Biobank. Health score was constructed from eight modifiable risk factors, including four lifestyle behaviors (diet, physical activity, smoking, and sleep duration) and four cardiometabolic factors (body mass index, blood lipids, blood glucose, and blood pressure). Cox proportional hazards regression analysis was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the health score and infectious diseases. The mediation analysis was performed to assess the potential intermediation effects of blood biomarkers.

Results: Over a median follow-up of 12.5 years, 27,398 participants with infectious diseases were documented, with 960 respiratory infectious diseases and 7940 digestive infectious diseases. After adjusting for potential confounders, the HR (95% CI) for the highest versus the lowest quartile of health score was 0.64 (0.62, 0.66) for infectious diseases, 0.72 (0.60, 0.86) for respiratory infectious diseases, and 0.66 (0.62, 0.71) for digestive infectious diseases. Stratified factors including duration of hypertension did not modify the associations between the health score and infectious diseases. In addition, biomarkers including inflammation and renal function collectively explained 46.60% of the associations between the combined lifestyle factors and infectious disease risk among individuals with hypertension.

Conclusions and relevance: Ideal management of combined modifiable risk factors was associated with lower risks of infectious diseases and might produce profound changes in blood biomarkers among individuals with hypertension. Additionally, specific biomarkers appeared to serve as an intermediate between combined lifestyle factors and infectious diseases. These insights highlighted the important role of a combination of healthy lifestyle and favorable cardiometabolic status in reducing disease burden and facilitated the understanding of biological mechanisms underlying modifiable risk factors with infectious diseases.

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高血压患者中可改变的风险因素与传染病的关系:一项前瞻性队列研究。
背景:目前还缺乏对高血压患者中与传染病有关的可改变的综合风险因素的全面评估,而且这些关联的潜在机制仍不清楚。目的:研究生活方式行为和心脏代谢因素的组合与高血压患者感染传染病风险的前瞻性关联,并估计血液生物标志物是否以及在多大程度上介导这些关联:这项队列研究纳入了 147188 名高血压患者,他们的可改变风险因素的完整数据来自英国生物库。健康评分由 8 个可改变的风险因素构成,包括 4 种生活方式(饮食、体力活动、吸烟和睡眠时间)和 4 种心脏代谢因素(体重指数、血脂、血糖和血压)。采用 Cox 比例危险回归分析来估算健康评分和传染病的危险比(HRs)和 95% 的置信区间(CIs)。此外,还进行了中介分析,以评估血液生物标志物的潜在中介效应:中位随访时间为 12.5 年,记录了 27398 名感染传染病的参与者,其中有 960 人患有呼吸道传染病,7940 人患有消化道传染病。调整潜在混杂因素后,健康评分最高与最低四分位数的HR(95% CI)分别为:感染性疾病0.64(0.62,0.66),呼吸道感染性疾病0.72(0.60,0.86),消化道感染性疾病0.66(0.62,0.71)。包括高血压持续时间在内的分层因素并未改变健康评分与传染病之间的关联。此外,包括炎症和肾功能在内的生物标志物共同解释了高血压患者综合生活方式因素与传染病风险之间46.60%的关联:对可改变的综合风险因素的理想管理与较低的传染病风险有关,并可能对高血压患者的血液生物标志物产生深远的影响。此外,特定的生物标志物似乎是综合生活方式因素与传染病之间的中间体。这些见解强调了健康的生活方式和良好的心脏代谢状况相结合在减少疾病负担方面的重要作用,并有助于了解可改变的风险因素与传染病之间的生物机制。
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来源期刊
BMC Infectious Diseases
BMC Infectious Diseases 医学-传染病学
CiteScore
6.50
自引率
0.00%
发文量
860
审稿时长
3.3 months
期刊介绍: BMC Infectious Diseases is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of infectious and sexually transmitted diseases in humans, as well as related molecular genetics, pathophysiology, and epidemiology.
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