大学生手机依赖与焦虑抑郁共病症状的关联

曲杨; 伍晓艳; 陶舒曼; 杨娅娟; 邹立巍; 谢阳; 李婷婷; 张丹; 翟爽; 陶芳标

doi:10.16835/j.cnki.1000-9817.2021.12.020

大学生手机依赖与焦虑抑郁共病症状的关联

doi: 10.16835/j.cnki.1000-9817.2021.12.020

曲杨¹,
伍晓艳^{1, 2, ,},
陶舒曼³,
杨娅娟⁴,
邹立巍¹,
谢阳¹,
李婷婷¹,
张丹¹,
翟爽¹,
陶芳标^{1, 2}

1.
安徽医科大学公共卫生学院儿少卫生与妇幼保健学系，合肥 230032
2.
出生人口健康教育部重点实验室/人口健康与优生安徽省重点实验室
3.
安徽医科大学第二附属医院肾脏内科
4.
安徽医科大学护理学院

基金项目:

国家自然科学基金 82173542

国家自然科学基金 81773455

国家自然科学基金 81803257

安徽省教育厅2020年度高校优秀人才支持计划重点项目 gxyqZD2020011

详细信息

作者简介:
曲杨(1997-)，女，山东烟台人，在读硕士，主要研究方向为青少年心理健康

通讯作者:
伍晓艳，E-mail：xywu85@126.com

中图分类号: G444 G647.8 B844.2
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- 文章访问数: 760
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- 被引次数: 0
出版历程
- 收稿日期: 2021-04-28
- 修回日期: 2021-06-17
- 网络出版日期: 2021-12-23
- 刊出日期: 2021-12-25

Association between cell phone dependence and anxiety-depression co-morbid symptoms among college students

1.
Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei (230032), China

摘要

摘要: 目的描述大学生手机依赖和焦虑抑郁共病症状的流行现况及关联，为促进大学生心理健康发展提供参考依据。方法于2019年4—5月在安徽省合肥市和江西省上饶市2所高校中随机整群抽样1 135名在校大学生进行基线调查，2019年11月对抽样人群进行随访调查，与基线调查匹配后有效人数为1 110人。使用青少年手机使用依赖自评问卷评估大学生手机依赖情况，使用抑郁-焦虑-压力自评量表评估抑郁、焦虑、焦虑抑郁共病症状，使用自编大学生健康相关行为及心理健康问卷报告睡眠时长。结果基线与随访调查中大学生手机依赖检出率分别为24.5%和27.7%，基线调查中焦虑症状、抑郁症状、焦虑抑郁共病症状的检出率分别为28.7%，21.3%和18.4%。二元Logistic回归模型结果显示，手机依赖与大学生基线(OR=5.79，95%CI=4.06~8.24)和随访调查(OR=2.62，95%CI=1.86~3.69)焦虑抑郁共病症状风险均呈正关联(P值均＜0.01)。调节效应分析结果显示，睡眠时长在手机依赖与焦虑抑郁共病症状关联间起调节作用，交互项具有统计学意义(β_基线=0.08，β_随访=0.04，P值均＜0.01)。结论大学生手机依赖可增加抑郁焦虑共病症状的发生风险，睡眠时长可缓解手机依赖对大学生抑郁焦虑共病症状的预测作用。
- 便携式电话 /
- 行为, 成瘾 /
- 焦虑 /
- 抑郁 /
- 回归分析 /
- 学生
Abstract: Objective To describe the prevalence of cell phone dependence and anxiety-depression co-morbidity among college students, and to explore the association between cell phone dependence and anxiety-depression co-morbidity among college students, in order to provide a reference basis for promoting the development of college students' mental health. Methods Using a prospective study design, baseline survey was conducted in April-May 2019 among a random whole-group sample of 1 135 individuals in two universities in Hefei, Anhui Province and Shangrao, Jiangxi Province, and a follow-up survey was conducted in November 2019 among the sampled population, with a valid number of 1 110 individuals after matching with the baseline survey. The Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU) was used to assess college students' cell phone dependence, and the Depression-Anxiety-Stress Self-Rating Scale (DASS-21) to assess depression, anxiety, and anxiety-depression co-morbidity symptoms, and the self-administered Health-Related Behavior and Mental Health Questionnaire for College Students to report sleep duration. Results The detection rates of cell phone dependence among college students at baseline and follow-up surveys were 24.5% and 27.7%, respectively, and the detection rates of anxiety symptoms, depressive symptoms, and anxiety-depression co-morbidities were 28.7%, 21.3%, and 18.4%, respectively. The results of the binary Logistic regression model showed that cell phone dependence was positively associated with the risk of anxiety-depression co-morbid symptoms among college students at baseline (OR=5.79, 95%CI=4.06-8.24) and after six months of follow-up (OR=2.62, 95%CI=1.86-3.69) (P < 0.01). The results of the moderating effect analysis showed that sleep duration moderated the association between cell phone dependence and anxiety-depression co-morbidities, and the interaction term was statistically significant (β=0.08, 0.04, P < 0.01). Conclusion Cell phone dependence in college students increases the risk of depressive and anxiety co-morbid symptoms, and sleep mitigates effect of cell phone dependence on depressive and anxiety co-morbid symptoms in college students.
- Cellular phone /
- Behavior, addictive /
- Anxiety /
- Depression /
- Regression analysis /
- Students

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表 1 基线中不同人口统计学特征大学生在焦虑、抑郁及焦虑抑郁共病症状检出率比较

Table 1. Analysis of anxiety, depression, and anxiety-depression co-morbidity detection rates across demographic characteristics at baseline

人口统计学指标	选项	人数	焦虑症状		抑郁症状		焦虑抑郁共病症状
人口统计学指标	选项	人数	检出人数	χ²值	检出人数	χ²值	检出人数	χ²值
性别	男	419	139(33.2)	6.47^*	114(27.2)	14.22^**	102(24.3)	16.17^**
	女	691	180(26.0)		122(17.7)		102(14.8)
家庭居住地	农村	623	180(28.9)	0.12	134(21.5)	0.30	116(18.6)	0.48
	城镇	324	94(29.0)		70(21.6)		61(18.8)
	市区	163	45(27.6)		32(19.6)		27(16.6)
独生子女	是	260	82(31.5)	1.30	58(22.3)	0.22	49(18.8)	2.78
	否	850	237(28.7)		178(20.9)		155(18.2)
家庭经济条件	差	268	97(36.2)	9.59^*	69(25.7)	4.44	67(25.0)	12.37^*
	中等	785	207(26.4)		157(20.0)		130(16.6)
	好	57	15 (26.3)		10(17.5)		7(12.3)
健康状况	好	655	145(22.1)	46.72^**	112(17.1)	21.96^**	95(14.5)	46.32^**
	一般	411	147(35.8)		106(25.8)		92(22.4)
	差	44	27(61.4)		18(40.9)		17(38.6)
吸烟	没有	1 009	269(26.7)	23.40^**	195(19.3)	24.81^**	165(16.4)	31.18^**
	＞1 d	101	50(49.5)		41(40.6)		39(38.6)
饮酒	没有	855	228(26.7)	7.80^*	165(19.3)	8.57^*	137(16.0)	14.05^*
	＞1 d	255	91(35.7)		71(27.8)		67(26.3)
生活事件	0	320	64(20.0)	16.77^**	47(14.7)	11.61^*	40(12.5)	18.60^**
	≥1	790	235(32.3)		189(23.9)		164(20.8)
注： ()内数据为检出率/%；P＜0.05，*P＜0.01。

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表 2 大学生睡眠时长对手机依赖与焦虑抑郁共病症状关联间的调节效应(n=1 110)

Table 2. Moderating effect of sleep duration on the association between cell phone dependence and co-morbid symptoms among college students(n=1 110)

常量与变量	基线		随访
常量与变量	β值	t值	β值	t值
常量	10.43	32.01^**	9.21	24.27^**
手机依赖	0.85	23.51^**	0.44	10.51^**
睡眠时长	0.72	2.95^*	0.07	0.25
手机依赖×睡眠时长	0.08	4.47^**	0.04	1.99^*
R²值	0.34		0.09
F值	190.37^**		37.93^**
注： P＜0.05，*P＜0.01。

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