基于网络分析视角下的贵州省大学生社交媒体成瘾心理因素

职业与健康 ›› 2024, Vol. 40 ›› Issue (23): 3265-3270.

基于网络分析视角下的贵州省大学生社交媒体成瘾心理因素

刘晓容, 张宛筑

贵州医科大学医学人文学院,贵州贵阳 550025

收稿日期:2024-03-17 修回日期:2024-04-10 出版日期:2024-12-01 发布日期:2026-04-09
通信作者: 张宛筑,副教授,E-mail：269396139@qq.com
作者简介:刘晓容,女,在读硕士研究生,研究方向为青少年心理健康。
基金资助:
贵州省教育规划课题（2020B181）; 贵州省卫生健康委科学技术基金项目（gzwkj2023-477）; 贵州省教育厅高校人文社会科学研究项目（23GZGXRWJD1931）

Psychological factors of social media addiction among college students in Guizhou Province based on the perspective of network analysis

LIU Xiaorong, ZHANG Wanzhu

School of Medical Humanities,Guizhou Medical University,Guiyang,Guizhou 550025,China

Received:2024-03-17 Revised:2024-04-10 Online:2024-12-01 Published:2026-04-09
Contact: ZHANG Wanzhu,Associate professor,E-mail：269396139@qq.com

摘要/Abstract

摘要： 目的采用网络分析法探讨影响大学生社交媒体成瘾的心理因素。方法 2023年3—5月以便利抽样方法选取贵州省1 284名大学生,采用社交媒体成瘾量表、社会排斥量表、人际疏离感量表、自我调节疲劳量表和心理灵活性量表进行调查。使用R 4.3.1软件中“Qgraph”程序包对社交媒体成瘾心理因素进行网络结构分析和视觉呈现,并使用“Bootnet”包评估社交媒体成瘾网络的准确性和稳定性。结果贵州省大学生社交媒体成瘾得分为（16.66±4.09）分,社会排斥中的直接排斥与间接排斥得分为（17.47±6.31）和（17.19±6.14）分,人际疏离感中的孤独感、亲人疏离感与社会孤立感得分分别为（22.98±5.92）、（11.53±4.60）和（11.86±4.67）分,自我调节疲劳中的认知、情绪和行为得分分别为（17.42±2.65）、（12.87±3.52）和（13.06±2.93）分,心理灵活性得分为（33.97±7.36）分。社交媒体成瘾与人际疏离感中的孤独感维度、自我调节疲劳里的情绪维度和心理灵活性间具有较强关联（r=0.33、0.33、-0.36,均P<0.01）且预期影响程度较高,分别为3.29、2.98和-4.19,是社交媒体成瘾网络的重要潜在干预靶点。结论贵州省大学生社交媒体成瘾心理因素的核心靶点主要有孤独感、情绪和心理灵活性维度,可采用针对性措施对大学生社交媒体成瘾开展干预。

关键词: 大学生, 社交媒体成瘾, 网络分析法, 心理因素

Abstract: Objective To explore the psychosocial factors affecting college students' social media addiction based on the perspective of network analysis. Methods From March to May 2023,1 284 college students in Guizhou Province were selected by convenience sampling method,and the social media addiction scale,social exclusion scale,interpersonal alienation scale,self-regulation fatigue scale and psychological flexibility scale were used to conduct the survey. The network structure analysis and visual presentation of the psychological factors of social media addiction were carried out using the "Qgraph" package in R 4.3.1 software,and the accuracy and stability of the social media addiction network were evaluated by using the "Bootnet" package. Results The scores of social media addiction among college students in Guizhou Province were （16.66±4.09）points,the scores of direct exclusion and indirect exclusion in social exclusion were （17.47±6.31） and （17.19±6.14）points,and the scores of loneliness,family alienation and social isolation in interpersonal alienation were （22.98±5.92）,（11.53±4.60） and （11.86±4.67）points,respectively. The cognitive, emotional,and behavioral scores in self-regulated fatigue were （17.42±2.65）,（12.87±3.52） and （13.06±2.93）points,respectively,and the scores of psychological flexibility were （33.97±7.36）points. Social media addiction（PA） was strongly associated with the dimensions of loneliness in interpersonal alienation（PC1）,emotional dimension in self-regulated fatigue（PD2）,and psychological flexibility（PF）（r=0.33,0.33,-0.36,all P<0.01）,and the expected impact was relatively high,at 3.29,2.98 and -4.19,respectively,which was an important potential intervention target for social media addiction networks. Conclusion The core targets of psychological factors related to social media addiction among college students in Guizhou Province mainly include loneliness,emotion and psychological flexibility,and targeted measures can be taken to intervene in social media addiction among college students.

Key words: College students, Social media addiction, Network analysis method, Psychological factors

中图分类号:

R395.6

刘晓容, 张宛筑. 基于网络分析视角下的贵州省大学生社交媒体成瘾心理因素. [J]职业与健康, 2024, 40(23): 3265-3270.

LIU Xiaorong, ZHANG Wanzhu. Psychological factors of social media addiction among college students in Guizhou Province based on the perspective of network analysis. [J]OCCUPATION AND HEALTH, 2024, 40(23): 3265-3270.

参考文献

[1] 中国互联网络信息中心(CNNIC).第52次中国互联网络发展状况统计报告[EB/OL].(2023-08-28)[2024-03-01].https://www.cnnic.net.cn/NMediaFile/2023/0908/MAIN1694151810549M3LV0UWOAV.pdf.
[2] MOREAU A,LACONI S,DELFOUR M,et al.Psychopathological profiles of adolescent and young adult problematic Facebook users[J].Comput Hum Behav,2015,44:64-69.
[3] BRAND M,YOUNG K S,LAIER C,et al.Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders:An Interaction of Person-Affect-Cognition-Execution(I-PACE) model[J].Neurosci Biobehav Rev, 2016,71:252-266.
[4] LIN X,LI S,QU C.Social network sites influence recovery from social exclusion:Individual differences in social anxiety[J].Comput Hum Behav,2017,75:538-546.
[5] 徐夫真,张文新.青少年疏离感与病理性互联网使用的关系:家庭功能和同伴接纳的调节效应检验[J].心理学报,2011,43(4):410-419.
[6] 王财玉,雷雳,乔雪.愉悦追求在自我调节疲劳与大学生智能手机成瘾之间的中介作用:自然联结的调节作用[J].心理发展与教育,2021, 37(4):601-608.
[7] CHOU W P,LEE K H,KO C H,et al.Relationship between psychological inflexibility and experiential avoidance and internet addiction:Mediating effects of mental health problems[J].Psychiat Res,2017,257(11):40-44.
[8] EPSKAMP S,BORSBOOM D,FRIED E I.Estimating psychological networks and their accuracy:A tutorial paper[J].Behav Res Methods,2018, 50(1):195-212.
[9] BORSBOOM D.A network theory of mental disorders[J].World Psychiat,2017,16(1):5-13.
[10] 蔡玉清,董书阳,袁帅,等.变量间的网络分析模型及其应用[J].心理科学进展,2020,28(1):178-195.
[11] HOFMANN S G,CURTISS J,MCNALLY R J.A complex network perspective on clinical science[J].Perspect Psychol Sci,2016,11(5):597-605.
[12] ANDREASSEN C,PALLESEN S,GRIFFITHS M.The relationshipbetween addictive use of social media,narcissism,and self-esteem:Findings from a large national survey[J].Addict Behav,2017,64:287-293.
[13] CHEN I H,PAKPOUR A H,LEUNG H,et al.Comparing generalized and specific problematic smartphone/internet use:Longitudinal relationships between smartphone application-based addiction and social media addiction and psychological distress[J].J Behav Addictions,2020, 9(2):410-419.
[14] 吴惠君,张姝玥,曾宇倩.大学生社会排斥问卷的编制与信效度检验[J].中国健康心理学杂志,2013,21(12):1829-1831.
[15] 杨东,张进辅,黄希庭.青少年学生疏离感的理论构建及量表编制[J].心理学报,2002,29(4):407-413.
[16] NES L S,EHLERS S L,WHIPPLE M O,et al.Self-regulatory fatigue inchronic multisymptom illnesses:Scale development,fatigue,and self-contro[J].J Pain Res,2013,6:181-188.
[17] 王利刚,张静怡,王佳,等.自我调节疲劳量表中文版测评青年人的效度与信度[J].中国心理卫生杂志,2015,29(4):290-294.
[18] FLEDDERUS M,VOSHAAR M A H O,TEN KLOOSTERP M,et al.Further evaluation of the psychometric properties of the Acceptance and Action Questionnaire-Ⅱ[J].Psychol Assess,2012,24(4):925-936.
[19] 曹静,吉阳,祝卓宏.接纳与行动问卷第二版中文版测评大学生的信效度[J].中国心理卫生杂志,2013,27(11):873-877.
[20] EPSKAMP S,CRAMER A O J,WALDORP L J,et al.qgraph:Network visualizations of relationships in psychometric data[J].J Stat Softw,2012, 48(4):367-371.
[21] 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.
[22] 高晓萌,朱博,张西蒙.大学生成人依恋与手机成瘾的关系:人际疏离感的中介作用[J].长江大学学报(社会科学版),2019,42(6):107-109,119.
[23] BAUMEISTER R F,CAMPBELL J D,KRUEGER J I,et al.Does high self-esteem cause better performance,interpersonal success,happiness, or healthier lifestyles?[J].Psychol Sci Public Interest,2003,4(1):1-44.
[24] 黄飞,郭林鑫,朱雪梅,等.心理灵活性在大学生D型人格与病理性网络使用间的中介作用[J].中华行为医学与脑科学杂志,2017, 26(12):1123-1126.
[25] HASLBECK J M B,FRIED E I.How predictable are symptoms in psychopathological networks? A reanalysis of 18 published datasets[J].Psychol Med,2017,47(16):2767-2776.