Charles Perkins Centre, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, NSW, Australia.
Charles Perkins Centre, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, NSW, Australia.
Brain Behav Immun. 2021 Aug;96:18-27. doi: 10.1016/j.bbi.2021.04.022. Epub 2021 May 1.
In this community-based cohort study, we investigated the relationship between combinations of modifiable lifestyle risk factors and infectious disease mortality. Participants were 468,569 men and women (56.5 ± 8.1, 54.6% women) residing in the United Kingdom. Lifestyle indexes included traditional and emerging lifestyle risk factors based on health guidelines and best practice recommendations for: physical activity, sedentary behaviour, sleep quality, diet quality, alcohol consumption, and smoking status. The main outcome was mortality from infectious diseases, including pneumonia, and coronavirus disease 2019 (COVID-19). Meeting public health guidelines or best practice recommendations among combinations of lifestyle risk factors was inversely associated with mortality. Hazard ratios ranged between 0.26 (0.23-0.30) to 0.69 (0.60-0.79) for infectious disease and pneumonia. Among participants with pre-existing cardiovascular disease or cancer, hazard ratios ranged between 0.30 (0.25-0.34) to 0.73 (0.60-0.89). COVID-19 mortality risk ranged between 0.42 (0.28-0.63) to 0.75 (0.49-1.13). We found a beneficial dose-response association with a higher lifestyle index against mortality that was consistent across sex, age, BMI, and socioeconomic status. There was limited evidence of synergistic interactions between most lifestyle behaviour pairs, suggesting that the dose-response relationship among different lifestyle behaviours is not greater than the sum of the risk induced by each behaviour. Improvements in lifestyle risk factors and meeting public health guidelines or best practice recommendations could be used as an ancillary measure to ameliorate infectious disease mortality.
在这项基于社区的队列研究中,我们调查了可改变的生活方式风险因素组合与传染病死亡率之间的关系。参与者为居住在英国的 468569 名男性和女性(56.5±8.1,54.6%为女性)。生活方式指数包括基于健康指南和最佳实践建议的传统和新兴生活方式风险因素:身体活动、久坐行为、睡眠质量、饮食质量、饮酒量和吸烟状况。主要结局是传染病(包括肺炎和 2019 冠状病毒病)导致的死亡率。在生活方式风险因素的组合中,符合公共卫生指南或最佳实践建议与死亡率呈反比。传染病和肺炎的危险比范围为 0.26(0.23-0.30)至 0.69(0.60-0.79)。在患有心血管疾病或癌症的参与者中,危险比范围为 0.30(0.25-0.34)至 0.73(0.60-0.89)。COVID-19 的死亡率风险范围为 0.42(0.28-0.63)至 0.75(0.49-1.13)。我们发现,生活方式指数与死亡率之间存在有益的剂量反应关系,这种关系在性别、年龄、BMI 和社会经济地位方面具有一致性。大多数生活方式行为对之间的协同相互作用证据有限,这表明不同生活方式行为之间的剂量反应关系并不大于每个行为所带来的风险总和。改善生活方式风险因素并符合公共卫生指南或最佳实践建议可以作为辅助措施,以改善传染病死亡率。