Department of Plastic and Burns Surgery, West China Hospital, Sichuan University, 37 Guoxuexiang, Chengdu, 610041, China.
Sci Rep. 2024 Jun 11;14(1):13444. doi: 10.1038/s41598-024-63875-2.
Lifestyles maybe associated with the immune and inflammatory state of human body. We aimed to comprehensively explore the relationship between lifestyles and circulating immune-inflammatory markers in the general population. Data from NHANES 1999-2014 was used. Lifestyle factors included leisure-time physical activity (LTPA), diet quality (Healthy Eating Index-2015, HEI-2015), alcohol consumption, cigarettes smoking, sleep hour and sedentary time. Immune makers included C-reactive protein (CRP), neutrophil-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), platelet-lymphocyte ratio (PLR) and monocyte-lymphocyte ratio (MLR). Generalized linear regression models were used to adjust confounders. Regressions of restricted cubic splines were utilized to evaluate the potentially non-linear relationships between exposures and outcomes. As results, HEI was negatively associated with CRP (P < 0.001), SII (P < 0.001), and NLR (P < 0.001). Cigarettes per day was positively associated with CRP (P < 0.001), SII (P < 0.001), and NLR (P = 0.008). Alcohol consumption was negatively associated with CRP (P < 0.001), but positively associated with PLR (P = 0.012) and MLR (P < 0.001). Physical activity was negatively associated with CRP (P < 0.001), SII (P = 0.005), and NLR (P = 0.002), but positively associated with PLR (P = 0.010). Participants with higher healthy lifestyle score had significantly lower CRP, SII and NLR (all P values < 0.05). Most of the sensitivity analyses found similar results. In conclusion, we found significant associations between lifestyles and immune markers in the general population, which may reflect a systemic inflammatory response to unhealthy lifestyles.
生活方式可能与人体的免疫和炎症状态有关。我们旨在全面探讨普通人群中生活方式与循环免疫炎症标志物之间的关系。使用了来自 NHANES 1999-2014 年的数据。生活方式因素包括休闲时间体力活动(LTPA)、饮食质量(健康饮食指数-2015,HEI-2015)、饮酒、吸烟、睡眠小时数和久坐时间。免疫标志物包括 C 反应蛋白(CRP)、中性粒细胞-淋巴细胞比值(NLR)、系统性免疫炎症指数(SII)、血小板-淋巴细胞比值(PLR)和单核细胞-淋巴细胞比值(MLR)。使用广义线性回归模型调整混杂因素。利用限制立方样条回归评估暴露与结局之间潜在的非线性关系。结果表明,HEI 与 CRP(P<0.001)、SII(P<0.001)和 NLR(P<0.001)呈负相关。每天吸烟支数与 CRP(P<0.001)、SII(P<0.001)和 NLR(P=0.008)呈正相关。饮酒与 CRP(P<0.001)呈负相关,但与 PLR(P=0.012)和 MLR(P<0.001)呈正相关。体力活动与 CRP(P<0.001)、SII(P=0.005)和 NLR(P=0.002)呈负相关,但与 PLR(P=0.010)呈正相关。具有较高健康生活方式评分的参与者 CRP、SII 和 NLR 显著降低(所有 P 值均<0.05)。大多数敏感性分析得出了相似的结果。总之,我们发现普通人群中生活方式与免疫标志物之间存在显著关联,这可能反映了不健康生活方式对全身炎症反应的影响。