Relationship of problematic social networks use, online social anxiety and depressive symptoms in college students

LIU Zhihong; ZHANG Shanshan; WU Hanyu

doi:10.16835/j.cnki.1000-9817.2022.11.024

Volume 43 Issue 11

Nov. 2022

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LIU Zhihong, ZHANG Shanshan, WU Hanyu. Relationship of problematic social networks use, online social anxiety and depressive symptoms in college students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2022, 43(11): 1699-1703. doi: 10.16835/j.cnki.1000-9817.2022.11.024

Citation:

LIU Zhihong, ZHANG Shanshan, WU Hanyu. Relationship of problematic social networks use, online social anxiety and depressive symptoms in college students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2022, 43(11): 1699-1703. doi: 10.16835/j.cnki.1000-9817.2022.11.024

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Relationship of problematic social networks use, online social anxiety and depressive symptoms in college students

doi: 10.16835/j.cnki.1000-9817.2022.11.024

College of Education Science, Shenyang Normal University, Shenyang(110034), China

Received Date: 2022-06-22
Rev Recd Date: 2022-07-19
Publish Date: 2022-11-25

Abstract

Abstract

Objective To identify potential categories of problematic social networks use for college students and further analyze the association of different categories with online social anxiety and depressive symptoms, and to provide reference for formulating preventive measures to promote college students' rational use of social networks. Methods From May to June 2021, 1 082 college students from 3 universities in Shenyang, Liaoning Province were selected by convenient sampling. Students completed the Problematic Mobile Social Media Usage Assessment Questionnaire(PMSMUAQ), the Social Anxiety Scale for Social Media Users (SAS-SMU) and Center for Epidemiologic Studies Depression Scale (CES-D), the latent profile analysis (LPA) and R3STEP were used to analyze the data. Results College students' problematic social network use was divided into three potential categories: moderate use group (31.98%, 346), mild dependence group (49.26%, 533), and deep addiction group (18.76%, 203). Logistic regression analysis showed that urban students had a greater proportion in the deeply addicted group (OR=1.62, P < 0.05). The incidence ratios of the mildly dependent and deeply addicted groups gradually increased as daily time spent online increased (OR=1.11, 1.20, P < 0.01). There were significant differences in online social anxiety and depressive symptoms among college students with different problematic social network use types(χ²=188.70, 62.60, P < 0.01), and the deeply addicted group scored higher on online social anxiety and depressive symptoms. Conclusion There is heterogeneity in problematic social network use among college students. And to reduce the emergence of online social anxiety and depressive symptoms, college educators and parents should pay more attention to students with higher levels of problematic social network use.
- Internet,
- Anxiety,
- Depression,
- Mental health,
- Regression analysis,
- Students

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References(23)

References

[1]	KIM Y, WANG Y, OH J. Digital media use and social engagement: how social media and smartphone use influence social activities of college students[J]. Cyberpsychol Behav Soc Netw, 2016, 19(4): 264-269. doi: 10.1089/cyber.2015.0408
[2]	姜永志, 白晓丽, 阿拉坦巴根, 等. 青少年问题性社交网络使用[J]. 心理科学进展, 2016, 24(9): 1435-1447. https://www.cnki.com.cn/Article/CJFDTOTAL-XLXD201609012.htm JIANG Y Z, BAI X L, A LATANBAGEN, et al. Problematic social networks usage of adolescent[J]. Adv Psychol Sci, 2016, 24(9): 1435-1447. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XLXD201609012.htm
[3]	JOLLIFF A F, MORENO M A, D'ANGELO J. The mediating role of depressive and anxiety symptoms in the association between obesity and problematic social media use in young adults[J]. Obes Sci Pract, 2020, 6(5): 454-459. doi: 10.1002/osp4.434
[4]	MESHI D, ELLITHORPE M E. Problematic social media use and social support received in real-life versus on social media: associations with depression, anxiety and social isolation[J]. Addict Behav, 2021, 119: 106949. doi: 10.1016/j.addbeh.2021.106949
[5]	陈必忠, 张瑞敏, 张绮琳, 等. 社交媒体用户社交焦虑量表在中国大学生中的初步应用[J]. 中国临床心理学杂志, 2020, 28(6): 1190-1193, 1198. https://www.cnki.com.cn/Article/CJFDTOTAL-ZLCY202006023.htm CHEN B Z, ZHANG R M, ZHANG Q L, et al. Reliability and validity of the Social Anxiety Scale for Social Media Users(SAS-SMU) in Chinese university students[J]. Chin J Clin Psychol, 2020, 28(6): 1190-1193, 1198. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZLCY202006023.htm
[6]	姜永志, 张斌, 李笑燃. 基于安戈夫法的青少年问题性移动社交网络使用评估标准[J]. 心理科学, 2019, 42(1): 75-81. https://www.cnki.com.cn/Article/CJFDTOTAL-XLKX201901012.htm JIANG Y Z, ZHANG B, LI X R. Evaluation of adolescent problematic mobile social network usage based on Angoff Method[J]. J Psychol Sci, 2019, 42(1): 75-81. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XLKX201901012.htm
[7]	张馨予, 孙琦, 周广东, 等. 大学生进食障碍症状的潜在剖面分析及其与抑郁的关系[J]. 心理与行为研究, 2022, 20(1): 73-79. https://www.cnki.com.cn/Article/CJFDTOTAL-CLXW202201011.htm ZHANG X Y, SUN Q, ZHOU G D, et al. A latent profile analysis to symptoms of eating disorder in college students and its relation to depression[J]. Stud Psychol Behav, 2022, 20(1): 73-79. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CLXW202201011.htm
[8]	邹维兴, 谢玲平, 王洪礼. 亲子依恋与留守儿童攻击性行为的关系: 基于潜在剖面的分析[J]. 中国健康心理学杂志, 2022, 30(5): 703-708. https://www.cnki.com.cn/Article/CJFDTOTAL-JKXL202205014.htm ZOU W X, XIE L P, WANG H L. Relationship between parent-child attchment and aggressive behavior of left-behind children: an application of latent profile analysis[J]. Chin J Health Psychol, 2022, 30(5): 703-708. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JKXL202205014.htm
[9]	姜永志. 青少年问题性移动社交媒体使用评估问卷编制[J]. 心理技术与应用, 2018, 6(10): 613-621. https://www.cnki.com.cn/Article/CJFDTOTAL-XLJS201810018.htm JIANG Y Z. Development of Problematic Mobile Social Media Usage Assessment Questionnaire for Adolescents[J]. Psychol Tech Appl, 2018, 6(10): 613-621. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XLJS201810018.htm
[10]	章婕, 吴振云, 方格, 等. 流调中心抑郁量表全国城市常模的建立[J]. 中国心理卫生杂志, 2010, 24(2): 139-143. https://www.cnki.com.cn/Article/CJFDTOTAL-ZXWS201002019.htm ZHANG J, WU Z Y, FANG G, et al. Development of the Chinese age norms of CES-D in urban area[J]. Chin Ment Health J, 2010, 24(2): 139-143. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZXWS201002019.htm
[11]	汤丹丹, 温忠麟. 共同方法偏差检验: 问题与建议[J]. 心理科学, 2020, 43(1): 215-223. https://www.cnki.com.cn/Article/CJFDTOTAL-XLKX202001030.htm TANG D D, WEN Z L. Statistical approaches for testing common method bias: problems and suggestions[J]. J Psychol Sci, 2020, 43(1): 215-223. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XLKX202001030.htm
[12]	NYLUND K L, ASPAROUHOV T, MUTHéN B O. Deciding on the number of classes in latent class analysis and growth mixture modeling: a monte-carlo simulation study[J]. Struct Equ Model, 2007, 14(4): 535-569.
[13]	GRIFFITHS M D, KUSS D J, DEMETROVICS Z. Social networking addiction: an overview of preliminary findings[J]. Behav Addict, 2014: 119-141.
[14]	KARDEFELT-WINTHER D. A conceptual and methodological critique of internet addiction research: towards a model of compensatory internet use[J]. Comput Human Behav, 2014, 31: 351-354.
[15]	CHEN C, ZHANG K Z K, GONG X, et al. Dual mechanisms of reinforcement reward and habit in driving smartphone addiction: the role of smartphone features[J]. Int Res, 2019, 29(6): 1551-1570.
[16]	STAVROPOULOS V, ALEXANDRAKI K, MOTTI-STEFANIDI F. Recognizing internet addiction: prevalence and relationship to academic achievement in adolescents enrolled in urban and rural Greek high schools[J]. J Adolesc, 2013, 36(3): 565-576.
[17]	XIN M, XING J, PENGFEI W, et al. Online activities, prevalence of Internet addiction and risk factors related to family and school among adolescents in China[J]. Addict Behav Rep, 2018, 7: 14-18.
[18]	彭顺, 张湘一, 张红坡, 等. 负面评价恐惧与大学生网络过度使用的关系: 社交焦虑和自我控制的中介作用[J]. 心理科学, 2020, 43(1): 81-86. https://www.cnki.com.cn/Article/CJFDTOTAL-XLKX202001012.htm PENG S, ZHANG X Y, ZHANG H P, et al. The relationship between fear of negative evaluation and internet overuse: the mediating effects of social anxiety and self-control[J]. J Psychol Sci, 2020, 43(1): 81-86. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XLKX202001012.htm
[19]	MALAEB D, SALAMEH P, BARBAR S, et al. Problematic social media use and mental health (depression, anxiety, and insomnia) among Lebanese adults: any mediating effect of stress?[J]. Perspect Psychiatr Care, 2021, 57(2): 539-549.
[20]	陈云祥, 娄骥, 张鹏, 等. 大学生问题性社交网络使用的定性研究[J]. 中国心理卫生杂志, 2019, 33(2): 143-148. https://www.cnki.com.cn/Article/CJFDTOTAL-ZXWS201902015.htm CHEN Y X, LOU J, ZHANG P, et al. Qualitative research on problematic social networks usage in college students[J]. Chin Ment Health J, 2019, 33(2): 143-148. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZXWS201902015.htm
[21]	CARRUTHERS S E, WARNOCK-PARKES E L, CLARK D M. Accessing social media: help or hindrance for people with social anxiety?[J]. J Exp Psychopathol, 2019, 10(2): 2043808719837811.
[22]	才源源, 崔丽娟, 李昕. 青少年网络游戏行为的心理需求研究[J]. 心理科学, 2007, 30(1): 169-172. https://www.cnki.com.cn/Article/CJFDTOTAL-XLKX200701042.htm CAI Y Y, CUI L J, LI X. A research on the psychological needs of teenagers' online game behaviors[J]. J Psychol Sci, 2007, 30(1): 169-172. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XLKX200701042.htm
[23]	杨邦林, 林谷洋, 严由伟. 被动性社交网络使用对硕士生睡眠质量的影响: 一个有调节的中介模型[J]. 中国特殊教育, 2018(3): 83-90. https://www.cnki.com.cn/Article/CJFDTOTAL-ZDTJ201803014.htm YANG B L, LIN G Y, YAN Y W. The effect of the passive use of social networking sites on master's degree candidates' sleep quality: a mode of moderation-oriented mediation[J]. Chin J Spec Educ, 2018(3): 83-90. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZDTJ201803014.htm