Li Renjie, Li Tingting, Xie Yang, Zhai Shuang, Qu Yang, Zhang Dan, Zou Liwei, Yang Yajuan, Wu Xiaoyan, Tao Fangbiao, Tao Shuman
Department of Maternal, Child & Adolescent Health, School of Public Health, Anhui Medical University, Hefei, 230032, People's Republic of China.
MOE Key Laboratory of Population Health Across Life Cycle; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, 230032, People's Republic of China.
Psychol Res Behav Manag. 2023 Apr 27;16:1509-1519. doi: 10.2147/PRBM.S411043. eCollection 2023.
Smartphone use could lead to being physically inactive and a greater risk for health problems, such as inflammation. However, the associations between smartphone use, physical activity (PA), and systemic low-grade inflammation remained unclear. This study aimed to examine the potential mediating effect of PA on the association between smartphone use and inflammation.
A two-year follow-up study was conducted between April 2019 and April 2021. Duration of smartphone use, smartphone dependence and PA were assessed by a self-administered questionnaire. Laboratory analysis of blood samples was performed to evaluate the levels of TNF-α, IL-6, IL-1β, and CRP as biomarkers of systemic inflammation. The correlations between smartphone use, PA, and inflammation were analyzed using Pearson correlation. Structural equation modelling was used to analyze the potential mediating effect of PA on the associations between smartphone use and inflammation.
A total of 210 participants were included with a mean (standard deviation) age of 18.7 (1.0) years, 82 (39%) of whom were males. Smartphone dependence was negatively associated with the total PA level (r=-0.18, <0.01). PA mediated the associations between the duration of smartphone use and smartphone dependence with inflammatory markers. Specifically, as PA decreased, the duration of smartphone use was more negatively associated with TNF-α (ab=-0.027; 95% CI: -0.052, -0.007) and more positively correlated to IL-6 (ab=0.020; 95% CI: 0.001, 0.046) and CRP (ab=0.038; 95% CI: 0.004, 0.086); smartphone dependency was more negatively associated with TNF-α (ab=-0.139; 95% CI: -0.288, -0.017) and more positively related to CRP (ab=0.206; 95% CI: 0.020, 0.421).
Our study illustrates that there are no direct associations between smartphone use and systemic low-grade inflammation, however, PA level plays a weak but significant mediating effect on the associations between smartphone use and inflammation among college students.
使用智能手机可能导致身体活动不足,并增加患健康问题(如炎症)的风险。然而,智能手机使用、身体活动(PA)与全身性低度炎症之间的关联仍不明确。本研究旨在探讨PA在智能手机使用与炎症关联中的潜在中介作用。
2019年4月至2021年4月进行了一项为期两年的随访研究。通过自填问卷评估智能手机使用时长、智能手机依赖程度和PA。对血样进行实验室分析,以评估TNF-α、IL-6、IL-1β和CRP的水平,作为全身性炎症的生物标志物。使用Pearson相关性分析智能手机使用、PA和炎症之间的相关性。采用结构方程模型分析PA在智能手机使用与炎症关联中的潜在中介作用。
共纳入210名参与者,平均(标准差)年龄为18.7(1.0)岁,其中82名(39%)为男性。智能手机依赖程度与总PA水平呈负相关(r = -0.18,P < 0.01)。PA介导了智能手机使用时长和智能手机依赖程度与炎症标志物之间的关联。具体而言,随着PA减少,智能手机使用时长与TNF-α的负相关性更强(间接效应ab = -0.027;95%置信区间:-0.052,-0.007),与IL-6(ab = 0.020;95%置信区间:0.001,0.046)和CRP(ab = 0.038;95%置信区间:0.004,0.086)的正相关性更强;智能手机依赖程度与TNF-α的负相关性更强(ab = -0.139;95%置信区间:-0.288,-0.017),与CRP的正相关性更强(ab = 0.206;95%置信区间:0.020,0.421)。
我们的研究表明,智能手机使用与全身性低度炎症之间没有直接关联,然而,PA水平在大学生智能手机使用与炎症的关联中起微弱但显著的中介作用。