Association between negative emotion, family intimacy and Internet addiction among junior and senior school students

SHENG Jiating; YANG Yaming; XIAO Yue; JIANG Xuanli; WANG Xiaoyu; LIU Fangdu; LI Minhui; SU Liyan; MA Jun; ZHANG Xujun

doi:10.16835/j.cnki.1000-9817.2023.12.005

Volume 44 Issue 12

Dec. 2023

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Article Navigation > CHINESE JOURNAL OF SCHOOL HEALTH > 2023 > 44(12): 1780-1783

SHENG Jiating, YANG Yaming, XIAO Yue, JIANG Xuanli, WANG Xiaoyu, LIU Fangdu, LI Minhui, SU Liyan, MA Jun, ZHANG Xujun. Association between negative emotion, family intimacy and Internet addiction among junior and senior school students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(12): 1780-1783. doi: 10.16835/j.cnki.1000-9817.2023.12.005

Citation:

SHENG Jiating, YANG Yaming, XIAO Yue, JIANG Xuanli, WANG Xiaoyu, LIU Fangdu, LI Minhui, SU Liyan, MA Jun, ZHANG Xujun. Association between negative emotion, family intimacy and Internet addiction among junior and senior school students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(12): 1780-1783. doi: 10.16835/j.cnki.1000-9817.2023.12.005

Citation:

SHENG Jiating, YANG Yaming, XIAO Yue, JIANG Xuanli, WANG Xiaoyu, LIU Fangdu, LI Minhui, SU Liyan, MA Jun, ZHANG Xujun. Association between negative emotion, family intimacy and Internet addiction among junior and senior school students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(12): 1780-1783. doi: 10.16835/j.cnki.1000-9817.2023.12.005

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Association between negative emotion, family intimacy and Internet addiction among junior and senior school students

doi: 10.16835/j.cnki.1000-9817.2023.12.005

1.
Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing (210009), Jiangsu Province, China

Received Date: 2023-07-13
Rev Recd Date: 2023-10-09

Available Online: 2023-12-26

Publish Date: 2023-12-25

Abstract

Abstract

Objective To explore the association between negative emotion (depression, anxiety and stress), family intimacy and Internet addiction, so as to provide a basis for the intervention of Internet addiction among junior and senior high school students. Methods Students were selected by stratified random cluster sampling method from junior high schools and senior high schools from December 2022 to February 2023 in Yixing City, Jiangsu Provicne. A total of 3 026 students completed the questionnaire survey, including the demographic characteristics, Depression, Anxiety and Stress Scale-21 (DASS-21), Family Environment Scale-Chinese Version (FES-CV), and Chinese Internet Addiction Scale Revised (CIAS-R). Bivariate correlation was used to analyzed the association of family intimacy, depression, anxiety, stress, and Internet addiction. Mediating effect model was used to analyzed the mediating effect of negative emotion between family intimacy and Internet addiction. Results The average score of Internet addiction among junior and senior high school students was (46.26±15.58), and there were statistical differences in the average scores of Internet addiction across different grades (F=87.15, P < 0.01). Depression (r=0.57), anxiety (r=0.56), stress (r=0.57) were positively correlated with Internet addiction, and family intimacy (r=-0.34) was negatively correlated with Internet diction (P < 0.01). In the mediating effect model, family intimacy negatively predicted negative emotion (β=-0.48) and Internet addiction (β=-0.10), and negative emotion positively predicted Internet addiction (β=0.45) (P < 0.01). Negative emotion played a partial mediating role between family intimacy and Internet addiction (the mediation value: -1.71, 95%CI=-1.96-1.49, mediation ratio: 67.9%, P < 0.05). Conclusions There are associations between negative emotion, family intimacy and Internet addiction among junior and senior school students. Family intimacy indirectly affects Internet addiction mainly through negative emotion. It suggests that family education is in need of attention to reduce the prevalence rate of Internet addiction among junior and senior high school students, especially family intimacy.
- Emotions,
- Family relations,
- Internet,
- Behavior, addictive,
- Mental health,
- Students

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References(23)

References

[1]	CHEMNAD K, ALSHAKHSI S, AL-HARAHSHEH S, et al. Is it contagious? Does parents' Internet addiction impact their adolescents' Internet addiction?[J]. Soc Sci Comput Rev, 2023, 41(5): 1691-1711. doi: 10.1177/08944393221117408
[2]	CHI X L, HONG X, CHEN X C. Profiles and sociodemographic correlates of Internet addiction in early adolescents in southern China[J]. Addict Behav, 2020, 106: 106385. doi: 10.1016/j.addbeh.2020.106385
[3]	ZHOU M, ZHU W M, SUN X T, et al. Internet addiction and child physical and mental health: evidence from panel dataset in China[J]. J Affect Disord, 2022, 309: 52-62. doi: 10.1016/j.jad.2022.04.115
[4]	LEI H, LI S Y, CHIU M M, et al. Social support and Internet addiction among mainland Chinese teenagers and young adults: a Meta-analysis[J]. Comput Hum Behav, 2018, 85: 200-209. doi: 10.1016/j.chb.2018.03.041
[5]	CHANG E, KIM B. School and individual factors on game addiction: a multilevel analysis[J]. Int J Psychol, 2020, 55(5): 822-831. doi: 10.1002/ijop.12645
[6]	HUANG Y, WANG T, HUANG J, et al. In fluences of major public health emergencies on the psychology of primary and middle school students and strategies for their emotional guidance[J]. J Southwest Univ, 2021, 43(12): 147-156.
[7]	CARVALHO P O, HUELSDUENKER T, CARSON F. The impact of the COVID-19 lockdown on European students' negative emotional symptoms: a systematic review and Meta-analysis[J]. Behav Sci, 2022, 12(1): 3.
[8]	LIANG L, ZHU M, DAI J, et al. The mediating roles of emotional regulation on negative emotion and Internet addiction among Chinese adolescents from a development perspective[J]. Front Psychiatry, 2021, 12: 608317. doi: 10.3389/fpsyt.2021.608317
[9]	LOVIBOND P F, LOVIBOND S H. The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories[J]. Behav Res Ther, 1995, 33(3): 335-343. doi: 10.1016/0005-7967(94)00075-U
[10]	GONG X, XIE X, XU R, et al. Psychometric properties of the Chinese versions of DASS-21 in Chinese college students[J]. Chin J Clin Psychol, 2010, 18(4): 443-446.
[11]	李小玲, 唐海波, 郭锋, 等. 抑郁-焦虑-压力量表信效度研究述评[J]. 中国临床心理学杂志, 2012, 20(3): 350-352. https://www.cnki.com.cn/Article/CJFDTOTAL-ZLCY201203019.htm LI X L, TANG H B, GUO F, et al. A review of Depression-Anxiety-Stress Scale's reliability and validity[J]. Chin J Clin Psychol, 2012, 20(3): 350-352. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZLCY201203019.htm
[12]	费立鹏, 沈其杰, 郑延平, 等. "家庭亲密度和适应性量表"和"家庭环境量表"的初步评价: 正常家庭与精神分裂症家庭成员对照研究[J]. 中国心理卫生杂志, 1991, 5(5): 198-202, 238. https://www.cnki.com.cn/Article/CJFDTOTAL-ZXWS199105001.htm FEI L P, SHEN Q J, ZHENG Y P, et al. Preliminary evaluation of Chinese version of FACES Ⅱ and FES: comparison of normal families and families of schizophrenic patients[J]. Chin Ment Health J, 1991, 5(5): 198-202, 238. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZXWS199105001.htm
[13]	陶金花, 金凤仙, 张嫚茹, 等. 家庭环境量表中文版在问题青少年群体的信效度验证[J]. 中国临床心理学杂志, 2015, 23(6): 1024-1027. https://www.cnki.com.cn/Article/CJFDTOTAL-ZLCY201506015.htm TAO J H, JIN F X, ZHANG M R, et al. Reliability and validity of FES-CV in the adolescent population[J]. Chin J Clin Psychol, 2015, 23(6): 1024-1027. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZLCY201506015.htm
[14]	陈淑惠, 翁俪祯, 苏逸人, 等. 中文网络成瘾量表之编制与心理计量特性研究[J]. 中华心理学刊, 2003, 45(3): 279-294. CHEN S H, WENG L Z, SU Y R, et al. Development SNF psychometric characteristics of Chinese Internet Addiction Scale[J]. Chin J Psychol, 2003, 45(3): 279-294. (in Chinese)
[15]	方杰, 温忠麟, 张敏强, 等. 基于结构方程模型的多重中介效应分析[J]. 心理科学, 2014, 37(3): 735-741. https://www.cnki.com.cn/Article/CJFDTOTAL-XLKX201403035.htm FANG J, WEN Z L, ZHANG M Q, et al. The analyses of multiple mediation effedts based on structural equation modeling[J]. J Psychol Sci, 2014, 37(3): 735-741. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XLKX201403035.htm
[16]	SAROUR E O, El KESHKY M E S. Deviant peer affiliation as a mediating variable in the relationship between family cohesion and adaptability and Internet addiction among adolescents[J]. Curr Psychol, 2022, 42(25): 21833-21841.
[17]	LIU Q X, FANG X Y, YAN N, et al. Multi-family group therapy for adolescent Internet addiction: exploring the underlying mechanisms[J]. Addict Behav, 2015, 42: 1-8. doi: 10.1016/j.addbeh.2014.10.021
[18]	PACE U, ZAPPULLA C, GUZZO G, et al. Internet addiction, temperament, and the moderator role of family emotional involvement[J]. Int J Ment Health Addict, 2014, 12(1): 52-63. doi: 10.1007/s11469-013-9468-8
[19]	LI F, ZHANG D, WU S, et al. Positive effects of online games on the growth of college students: a qualitative study from China[J]. Front Psychol, 2023, 14: 1008211. doi: 10.3389/fpsyg.2023.1008211
[20]	MOHAMMAD S, JAN R A, ALSAEDI S L. Symptoms, mechanisms, and treatments of video game addiction[J]. Cureus, 2023, 15(3): e36957.
[21]	XU L X, WU L L, GENG X M, et al. A review of psychological interventions for Internet addiction[J]. Psychiatry Res, 2021, 302: 114016. doi: 10.1016/j.psychres.2021.114016
[22]	BÄCKLUND C, ELBE P, GAVELIN H M, et al. Gaming motivations and gaming disorder symptoms: a systematic review and Meta-analysis[J]. J Behav Addict, 2022, 11(3): 667-688. doi: 10.1556/2006.2022.00053
[23]	PINE R, FLEMING T, MCCALLUM S, et al. The effects of casual videogames on anxiety, depression, stress, and low mood: a systematic review[J]. Games Health J, 2020, 9(4): 255-264. doi: 10.1089/g4h.2019.0132