内蒙古地区学生网络成瘾与抑郁症状的共发趋势及关联

袁雯; 蒋家诺; 秦阳; 王若琳; 张奕; 张依航; 陈力; 刘婕妤; 郭桐君; 杨田; 张秀红; 宋逸; 马军; 董彦会

doi:10.16835/j.cnki.1000-9817.2023.09.004

内蒙古地区学生网络成瘾与抑郁症状的共发趋势及关联

doi: 10.16835/j.cnki.1000-9817.2023.09.004

袁雯¹,
蒋家诺¹,
秦阳¹,
王若琳¹,
张奕¹,
张依航¹,
陈力¹,
刘婕妤¹,
郭桐君¹,
杨田²,
张秀红²,
宋逸¹,
马军¹,
董彦会^1, ,

1.
北京大学公共卫生学院/北京大学儿童青少年卫生研究所，北京 100191
2.
内蒙古自治区综合疾病预防控制中心学校卫生科

基金项目:

北京市教育科学“十四五”规划2022年度课题项目 AECA22126

详细信息

作者简介:
袁雯(1991-)，女，湖北十堰人，博士，助理研究员，主要研究方向为儿童青少年慢性病的心理行为因素、环境因素与机制探讨

通讯作者:
董彦会，E-mail：dongyanhui@bjmu.edu.cn

利益冲突声明 所有作者声明无利益冲突。
中图分类号: G444 C913.5 R179
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- 文章访问数: 266
- HTML全文浏览量: 149
- PDF下载量: 69
- 被引次数: 0
出版历程
- 收稿日期: 2023-07-19
- 修回日期: 2023-08-31
- 网络出版日期: 2023-09-28
- 刊出日期: 2023-09-25

Co-occurrence trend and association study of Internet addiction and depressive symptoms among students in Inner Mongolia Autonomous Region

1.
Institute of Child and Adolescent Health/School of Public Health, Peking University, Beijing (100191), China

摘要

摘要: 目的探讨内蒙古地区学生网络成瘾和抑郁的流行现状，并分析两者的共发趋势与关联，为制订儿童青少年网络成瘾和抑郁的防控策略提供科学依据。方法于2017—2021年每年9月采用分层随机整群抽样的方法选取内蒙古12个盟市(103个旗县区)6 317，7 152，81 808，71 180和89 932名10~24岁学生为研究对象。使用网络成瘾量表和流调中心抑郁量表(CES-D)判定其网络成瘾和抑郁情况，计算学生网络成瘾和抑郁症状的年检出率、群组差异以及共发趋势，采用多元线形回归和限制性立方样条分析估计学生网络成瘾与抑郁症状的线形与非线形关联。结果学生网络成瘾检出率由2017年的4.1%逐渐下降到2020年的2.1%，但是2021年又上升至3.9%；抑郁症状检出率由2017年的20.9%上升至2020年的28.0%和2021年的27.0%；网络成瘾和抑郁共发的检出率保持在1.8%~2.5%。2017—2021各年份男生网络成瘾检出率均高于女生，2017年后女生抑郁症状检出率高于男生(χ²值分别为42.82，553.90，P值均 < 0.05)；以2019年为分界点，网络成瘾检出率实现了城乡逆转，抑郁症状和共病检出率总体上仍表现为城区高于郊县，且差异表现出逐年缩小甚至追平的趋势。2021年学生网络成瘾得分与抑郁得分(B=1.67，95%CI=1.64~1.71)、抑郁症状检出(OR=1.39，95%CI=1.38~1.41)和重度抑郁症状检出(OR=1.35，95%CI=1.33~1.36)均呈正相关(P值均 < 0.05)，且在不同性别、城乡和学段中均呈近似的“n”型曲线。结论学生网络成瘾与抑郁存在线性和非线形关联，这种关联在不同性别、地区、学段中均存在。各地区，尤其是郊县应加快制订和落实相关措施，遏制儿童青少年网络成瘾和抑郁的加速增长。
- 行为，成瘾 /
- 因特网 /
- 抑郁 /
- 共病现象 /
- 回归分析 /
- 学生 /
- 少数民族
Abstract: Objective To investigate the prevalence of Internet addiction and depression of students, and to analyze the co-occurrence and trend, so as to provide a theoretical basis for prevention and controlling measures of Internet addiction and depression. Methods A total of 6 317, 7 152, 81 808, 71 180 and 89 932 students aged 10 to 24 years from 12 leagues (103 banners) in Inner Mongolia Autonomous Region were selected by stratified random cluster sampling in September each year from 2017 to 2021. The Internet Addiction Scale and the Central for Epidemiologic Studies Depression Scale(CES-D) was used to measure Internet addiction and depression. And the annual inspection rate, group difference and annual change trend in students were calculated. Multivariate linear regression and restricted cubic spline analysis were used to estimate the linear and non-linear associations between Internet addiction and depression in students. Results The Internet addiction proportion in students gradually decreased from 4.1% in 2017 to 2.1% in 2020, but increased to 3.9% in 2021. And the depressive symptoms proportion increased from 20.9% in 2017 to 28.0% in 2020 and 27.0% in 2021. The detection rate of Internet addiction and depression co-morbidities remained at 1.8% to 2.5%. The Internet addiction proportion in boys was higher than that in girls(χ²=42.82, P < 0.05). The depressive symptoms prevalence in girls was higher than that in boys(χ²=553.90, P < 0.05). Taking reversal in prevalence of Internet addiction in urban and rural areas was observed in 2019. The detection rates of depressive symptoms and comorbidity were higher in urban areas than these in suburban counties on the whole, and the difference showed a trend of decreasing or even equalizing year by year. Internet addiction was positively correlated with depressive symptoms score (B=1.67, 95%CI=1.64-1.71), the proportion of depressive symptoms (OR=1.39, 95%CI=1.38-1.41) and the proportion of major depressive symptoms (OR=1.35, 95%CI=1.33-1.36) among students in 2021 (P < 0.05). An N-shaped curve was found in the significant nonlinear associations between internet addiction and depression across sex, region and school stage. Conclusion Internet addiction and depression in students show significant linear and non-linear associations, which are consistent in different sexes, regions and school stages. Therefore, relevant measures should be made and implemented in each region, especially in suburb areas, so as to prevent the increasingly development of adolescents and children's Internet addiction and depression.
- Behavior, addictive /
- Internet /
- Depression /
- Comorbidity /
- Regression analysis /
- Students /
- Minority groups
注释:

1) 利益冲突声明 所有作者声明无利益冲突。

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图 1 不同性别、地区、学段内蒙古学生网络成瘾和抑郁得分的非线形关联

Figure 1. Non-linear association of students' Internet addiction and depression from Inner Mongolia Autonomous Region in different sex, area, school type groups

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表 1 不同组别内蒙古学生2017—2021年网络成瘾和抑郁症状及共发的检出率/%

Table 1. The detection rate of Internet addiction and depression and co-occurrence among students from Inner Mongolia Autonomous Region during 2017 to 2021/%

组别	选项	2017年				2018年				2019年				2020年				2021年
组别	选项	人数	网络成瘾	抑郁症状	共发	人数	网络成瘾	抑郁症状	共发	人数	网络成瘾	抑郁症状	共发	人数	网络成瘾	抑郁症状	共发	人数	网络成瘾	抑郁症状	共发
性别	男	2 760	4.6	21.0	2.6	3 180	3.4	23.8	1.7	40 248	3.4	23.5	2.1	34 507	5.0	24.8	2.6	43 968	4.3	23.5	2.1
	女	3 557	3.7	20.8	2.1	3 972	3.1	26.5	2.0	41 560	2.8	27.4	1.9	36 673	3.8	31.0	2.5	45 964	3.5	30.3	2.2
监测点	城区	4 490	4.5	21.1	2.4	4 746	3.4	26.7	1.9	30 424	3.1	25.9	2.1	25 840	4.3	28.6	2.6	28 200	3.8	27.4	2.2
	郊县	1 827	3.2	20.5	1.9	2 406	2.8	22.5	1.7	51 384	3.1	25.2	1.9	45 340	4.5	27.7	2.5	61 732	4.0	26.8	2.1
学段	初中	2 725	3.4	19.0	2.1	3 011	3.1	20.7	1.7	46 524	3.0	24.0	1.9	35 849	4.1	23.9	2.0	54 472	3.3	23.5	1.6
	普高	1 912	4.9	25.4	2.6	2 277	3.9	30.3	2.2	26 385	3.5	29.0	2.3	28 866	5.0	34.7	3.3	28 988	5.0	34.6	3.3
	职高	986	4.4	21.3	2.5	1 128	3.3	29.3	2.1	4 289	2.8	29.5	1.9	3 089	5.1	28.0	2.8	3 593	4.6	26.8	2.3
	大学	694	4.2	15.7	1.9	736	1.2	22.6	0.8	4 610	2.4	16.1	1.3	3 376	2.1	15.4	0.9	2 879	2.3	15.1	1.1
合计		6 317	4.1	20.9	2.3	7 152	3.2	25.3	1.8	81 808	3.1	25.5	2.0	71 180	2.1	28.0	2.5	89 932	3.9	27.0	2.2

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表 2 2021年内蒙古学生网络成瘾与抑郁症状的Logistic回归分析(n=89 932)

Table 2. Logistic regression between Internet addiction and depressive symptoms among students from Inner Mongolia Autonomous Region in 2021(n=89 932)

组别	选项	抑郁症状			重度抑郁症状
组别	选项	β值	标准误	OR值(95%CI)	β值	标准误	OR值(95%CI)
性别	男	0.30	0.007	1.34(1.33~1.36)	0.28	0.008	1.33(1.31~1.35)
	女	0.38	0.008	1.47(1.44~1.49)	0.32	0.008	1.38(1.36~1.40)
地区	城区	0.36	0.009	1.44(1.41~1.46)	0.31	0.010	1.36(1.33~1.39)
	郊县	0.32	0.006	1.38(1.36~1.39)	0.29	0.007	1.34(1.32~1.36)
学段	初中	0.32	0.007	1.37(1.36~1.39)	0.30	0.007	1.34(1.32~1.36)
	普高	0.33	0.008	1.39(1.37~1.41)	0.30	0.009	1.35(1.33~1.37)
	职高	0.31	0.023	1.36(1.30~1.42)	0.23	0.025	1.26(1.19~1.32)
	大学	0.44	0.035	1.55(1.44~1.66)	0.30	0.046	1.35(1.23~1.48)
合计		0.33	0.005	1.39(1.38~1.41)	0.30	0.006	1.35(1.33~1.36)
注：P值均 < 0.05。

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