Ezhou High School, Ezhou, Hubei, China.
Emilio Aguinaldo College, Manila, Philippines.
BMJ Open. 2024 Nov 27;14(11):e084920. doi: 10.1136/bmjopen-2024-084920.
This study aims to investigate the association of physical activity (PA) and sedentary behaviour (SB) with chronic kidney disease (CKD), and to illustrate whether inflammatory biomarkers play a mediating role.
A cross-sectional study.
This study analysed cross-sectional data from the National Health and Nutrition Examination Survey 2007-2018.
A total of 27 808 participants aged 20-80 years old were enrolled in the final analysis.
PA and SB were self-reported by participants using the Global Physical Activity Questionnaire. Inflammatory biomarkers including neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR) and systemic immune inflammation index (SII) were examined in subjects' peripheral blood samples. Estimated glomerular filtration rate <60 mL/min/1.73 m was defined as CKD. Multivariable logistic regression and medication model were performed to examine the associations of PA, SB and inflammatory biomarkers with CKD.
PA was associated with CKD, with a 20% lower OR of CKD compared with inactive (p=0.002) and a 2% lower OR per 30 min moderate-to-vigorous PA increase (p=0.027). SB was also associated with CKD, with a significant 39% higher OR for high SB (p<0.001), and a 3% higher OR per 30 min SB increase (p<0.001). NLR and SII both significantly mediated the association of PA and SB with CKD. NLR explained 1.87% (medication effect: -0.0003, direct effect: -0.0162) and 2.73% (medication effect: 0.0005, direct effect: 0.0192) association of PA and SB with CKD (p<0.001), respectively. While SII explained 1.77% (medication effect: -0.0003, direct effect: -0.0162) and 1.22% (medication effect: 0.0002, direct effect: 0.0199) association of PA and SB with CKD (p<0.001), respectively. The results did not show any statistical association between PLR and CKD in this sample.
This finding revealed increasing PA and shortening SB may be effective strategies in CKD prevention and early management through the regulation of systemic inflammation. NLR and SII may not only be prognostic indicators of CKD, but also novel potential markers in predicting CKD occurrence.
本研究旨在探讨身体活动(PA)和久坐行为(SB)与慢性肾脏病(CKD)的关系,并阐明炎症生物标志物是否发挥中介作用。
横断面研究。
本研究分析了 2007-2018 年全国健康与营养调查的横断面数据。
共纳入 27808 名 20-80 岁的参与者进行最终分析。
PA 和 SB 由参与者使用全球体力活动问卷自行报告。炎症生物标志物包括中性粒细胞/淋巴细胞比值(NLR)、血小板/淋巴细胞比值(PLR)和全身免疫炎症指数(SII)在受试者外周血样本中进行检测。肾小球滤过率估计值<60 mL/min/1.73 m 定义为 CKD。采用多变量逻辑回归和药物模型来检验 PA、SB 和炎症生物标志物与 CKD 的关系。
PA 与 CKD 相关,与不活动相比,CKD 的 OR 降低 20%(p=0.002),与中高强度 PA 增加 30 分钟相比,OR 降低 2%(p=0.027)。SB 也与 CKD 相关,与高 SB 相比,OR 显著升高 39%(p<0.001),与 SB 增加 30 分钟相比,OR 升高 3%(p<0.001)。NLR 和 SII 均显著介导了 PA 和 SB 与 CKD 的关联。NLR 解释了 PA 和 SB 与 CKD 相关的 1.87%(药物效应:-0.0003,直接效应:-0.0162)和 2.73%(药物效应:0.0005,直接效应:0.0192)(p<0.001)。而 SII 解释了 PA 和 SB 与 CKD 相关的 1.77%(药物效应:-0.0003,直接效应:-0.0162)和 1.22%(药物效应:0.0002,直接效应:0.0199)(p<0.001)。在该样本中,PLR 与 CKD 之间没有显示出任何统计学关联。
本研究结果表明,增加 PA 和缩短 SB 可能通过调节全身炎症来预防和早期管理 CKD。NLR 和 SII 不仅是 CKD 的预后指标,而且可能是预测 CKD 发生的新的潜在标志物。