Gu F, Yang Y, Zheng W J, Li J J, Gao L, Shen Y, Meng J, Zhang R H, Dong B
Division of School Health, Department of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Section of Inner Infection Prevention, Zhejiang Medical & Health Group Hangzhou Hospital, Hangzhou 310022, China.
Zhonghua Yu Fang Yi Xue Za Zhi. 2025 Feb 6;59(2):167-173. doi: 10.3760/cma.j.cn112150-20240806-00631.
To analyze the multimorbidity trends and influencing factors of internet addiction and depressive symptoms among middle school students in Zhejiang Province. From 2018 to 2023, a multistage stratified random cluster sampling method was used to select middle school students aged 12 to 18 in Zhejiang Province. Internet addiction and depression status were measured by the Internet Addiction Scale and the Center for Epidemiologic Studies Depression Scale. When both symptoms were present, it was defined as multimorbidity.The multivariate logistic regression model was used to analyze the influencing factors of multimorbidity among middle school students, and a trend -square test was used to analyze the changing trends of internet addiction, depression and multimorbidity prevalence. A total of 193 505 students were included in the study. From 2018 to 2023, the prevalence of multimorbidity of internet addiction and depressive symptoms among middle school students ranged from 2.7% to 3.5%. The prevalence of internet addiction ranged from 4.7% to 6.0%, while the prevalence of depressive symptoms ranged from 18.7% to 25.1%. Multivariate logistic regression showed that boarding students (1.34 95% 1.26-1.42), low-frequency (=1.59, 95%: 1.46-1.73), and high-frequency sugary drink consumption (=3.91, 95% 3.55-4.31) increased the risk of multimorbidity among middle school students. In contrast, higher frequencies of moderate-to-high-intensity exercise (medium: =0.54, 95%: 0.50-0.58; high: =0.49, 95%: 0.44-0.55) and sufficient sleep (=0.52, 95%: 0.49-0.56) were protective factors. From 2018 to 2023, there was no significant change in the trend of multimorbidity prevalence among middle school students (=3.82, =0.051). The prevalence of internet addiction showed an upward trend (=20.54, <0.001), while depressive symptoms showed a downward trend (=181.41, <0.001). The prevalence of internet addiction and depression symptoms among middle school students in Zhejiang Province remains stable from 2018 to 2023. The prevalence of internet addiction shows an upward trend, while the prevalence of depression symptoms shows a downward trend. The risk of multimorbidity is related to students' boarding, consumption of sugary drinks, lack of exercise, and insufficient sleep.
分析浙江省中学生网络成瘾与抑郁症状的共病趋势及影响因素。2018年至2023年,采用多阶段分层随机整群抽样方法选取浙江省12至18岁的中学生。通过网络成瘾量表和流行病学研究中心抑郁量表测量网络成瘾和抑郁状况。当两种症状都存在时,定义为共病。采用多因素logistic回归模型分析中学生共病的影响因素,采用趋势平方检验分析网络成瘾、抑郁和共病患病率的变化趋势。本研究共纳入193505名学生。2018年至2023年,中学生网络成瘾与抑郁症状共病的患病率在2.7%至3.5%之间。网络成瘾的患病率在4.7%至6.0%之间,而抑郁症状的患病率在18.7%至25.1%之间。多因素logistic回归显示,寄宿学生(1.34,95%可信区间1.26 - 1.42)、低频率(比值比 = 1.59,95%可信区间:1.46 - 1.73)和高频率饮用含糖饮料(比值比 = 3.91,95%可信区间3.55 - 4.31)会增加中学生共病的风险。相反,较高频率的中高强度运动(中等强度:比值比 = 0.54,95%可信区间:0.50 - 0.58;高强度:比值比 = 0.49,95%可信区间:0.44 - 0.55)和充足睡眠(比值比 = 0.52,95%可信区间:0.49 - 0.56)是保护因素。2018年至2023年,中学生共病患病率趋势无显著变化(χ² = 3.82,P = 0.051)。网络成瘾患病率呈上升趋势(χ² = 20.54,P < 0.001),而抑郁症状呈下降趋势(χ² = 181.41,P < 0.001)。2018年至2023年,浙江省中学生网络成瘾和抑郁症状患病率保持稳定。网络成瘾患病率呈上升趋势,而抑郁症状患病率呈下降趋势。共病风险与学生寄宿、饮用含糖饮料、缺乏运动和睡眠不足有关。