[Analysis of multimorbidity trends and influencing factors of internet addiction and depression symptoms among middle school students in Zhejiang Province]

Zhonghua Yu Fang Yi Xue Za Zhi. 2024 Dec 30:59:24-30. doi: 10.3760/cma.j.cn112150-20240806-00631. Online ahead of print.
[Article in Chinese]

Abstract

Objective: To analyze the multimorbidity trends and influencing factors of internet addiction and depressive symptoms among middle school students in Zhejiang Province. Methods: 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 Chi-square test was used to analyze the changing trends of internet addiction, depression and multimorbidity prevalence. Results: 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 (OR=1.34, 95%CI: 1.26-1.42), low-frequency (OR=1.59, 95%CI: 1.46-1.73), and high-frequency sugary drink consumption (OR=3.91, 95%CI: 3.55-4.31) increased the risk of multimorbidity among middle school students. In contrast, higher frequencies of moderate-to-high-intensity exercise (medium: OR=0.54, 95%CI: 0.50-0.58; high: OR=0.49, 95%CI: 0.44-0.55) and sufficient sleep (OR=0.52, 95%CI: 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 (χ²trend=0.43, P=0.051). The prevalence of internet addiction showed an upward trend (χ²trend=20.54, P<0.001), while depressive symptoms showed a downward trend (χ²trend=181.41, P<0.001). Conclusion: 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.

目的: 分析浙江省中学生网络成瘾与抑郁症状多病趋势及其相关因素。 方法: 于2018—2023年,采用多阶段分层随机整群抽样方法,选取浙江省12~18岁中学生,使用网络成瘾量表和流调中心抑郁量表判定其网络成瘾和抑郁情况,当两者均存在时则为多病。采用多因素logistic回归模型分析中学生网络成瘾与抑郁症状的多病相关因素,采用趋势χ²检验分析网络成瘾、抑郁症状和多病患病率的变化趋势。 结果: 共纳入193 505名研究对象,2018—2023年中学生网络成瘾和抑郁症状多病患病率波动在2.7%~3.5%,网络成瘾患病率波动在4.7%~6.0%,抑郁症状患病率波动在18.7%~25.1%。多因素logistic回归分析显示,与非住校和不摄入含糖饮料的学生相比,住校学生(OR=1.34,95 % CI:1.26~1.42)、低频率含糖饮料摄入(OR=1.59,95 % CI:1.46~1.73)和高频率含糖饮料摄入(OR=3.91,95 % CI:3.55~4.31)与中学生多病的风险增加。相比于低频率中高强度运动和睡眠不足的学生,中高强度运动频率的增加(中频率OR=0.54,95 % CI:0.50~0.58);高频率(OR=0.49,95%CI:0.44~0.55)以及保持充足睡眠(OR=0.52,95 % CI:0.49~0.56)的中学生多病的风险降低。2018—2023年中学生的多病患病率变化差异无统计学意义(χ²趋势=0.43,P=0.051),网络成瘾患病率呈现上升趋势(χ²趋势=20.54,P<0.001),抑郁症状患病率呈现下降趋势(χ²趋势=181.41,P<0.001)。 结论: 2018—2023年浙江省中学生的网络成瘾和抑郁症状的多病患病率趋势平稳,网络成瘾患病率呈上升趋势,抑郁症状患病率呈下降趋势,多病风险与学生住校、摄入含糖饮料、运动缺乏和睡眠不足相关。.

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