The relationship between anxiety and depression with smartphone addiction among college students: The mediating effect of executive dysfunction

被引:28
作者
Ge, JiaMin [1 ,2 ]
Liu, Ya [1 ,2 ]
Cao, Wenjing [1 ,2 ]
Zhou, Shuyin [1 ,2 ]
机构
[1] Chongqing Normal Univ, Sch Educ Sci, Chongqing, Peoples R China
[2] Chongqing Normal Univ, Key Lab Appl Psychol, Chongqing, Peoples R China
关键词
anxiety; smartphone addiction; depression; executive function; I-PACE model; CIUT model; MOBILE PHONE ADDICTION; ACADEMIC-PERFORMANCE; INTERNET ADDICTION; WORKING-MEMORY; NECK-SHOULDER; COGNITION; SATISFACTION; METAANALYSIS; BEHAVIOR; DEFICITS;
D O I
10.3389/fpsyg.2022.1033304
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Smartphone addiction symptom is increasing globally. Many studies have found that negative emotion is associated with smartphone addiction, but few explore the mediating effect of executive dysfunction. In a large-scale, cross-sectional survey, 421 Chinese college students completed measures on anxiety, depression, smartphone addiction, and executive dysfunction. We surveyed the prevalence of depression, impaired executive function, and smartphone addiction. A confirmatory factor analysis was performed on the questionnaire structure, and the mediation models were used to examine the relationship between anxiety, depression, impaired executive function, and smartphone addiction. The main finding indicated that anxiety, depression, and executive dysfunction were positively and significantly associated with smartphone addiction. Executive dysfunction plays a mediation role between anxiety and depression with smartphone addiction. Specifically, executive dysfunction completely mediates the pathway of anxiety and smartphone addiction and partly mediates the path of depression and smartphone addiction. Depression directly predicted smartphone addiction positively but anxiety did not. The sample consisted of Chinese college students, which limits generalizability and self-reported lack of objectivity. The result suggests that we should pay more attention to the mediating role of executive dysfunction between negative emotion and smartphone addiction.
引用
收藏
页数:9
相关论文
共 77 条
[61]   CORRELATION OF MOBILE PHONE ADDICTION SCALE (MPAS) SCORE WITH CRANIOVERTEBRAL ANGLE, SCAPULAR INDEX AND BECK'S DEPRESSION INVENTORY SCORE IN YOUNG ADULTS [J].
Salvi, Rupali ;
Battin, Sneha .
INTERNATIONAL JOURNAL OF PHYSIOTHERAPY, 2018, 5 (01) :7-12
[62]   The relationship between smartphone use and students` academic performance [J].
Sapci, Onur ;
Elhai, Jon D. ;
Amialchuk, Aliaksandr ;
Montag, Christian .
LEARNING AND INDIVIDUAL DIFFERENCES, 2021, 89
[63]   Does Digital Detox Work? Exploring the Role of Digital Detox Applications for Problematic Smartphone Use and Well-Being of Young Adults Using Multigroup Analysis [J].
Schmuck, Desiree .
CYBERPSYCHOLOGY BEHAVIOR AND SOCIAL NETWORKING, 2020, 23 (08) :526-532
[64]   State anxiety moderates the association between motivations and excessive smartphone use [J].
Shen, Xi ;
Wang, Hai-Zhen ;
Rost, Detlef H. ;
Gaskin, James ;
Wang, Jin-Liang .
CURRENT PSYCHOLOGY, 2021, 40 (04) :1937-1945
[65]   The Effect of Negative Affect on Cognition: Anxiety, Not Anger, Impairs Executive Function [J].
Shields, Grant S. ;
Moons, Wesley G. ;
Tewell, Carl A. ;
Yonelinas, Andrew P. .
EMOTION, 2016, 16 (06) :792-797
[66]  
Smith A, 2015, TWENTY-FIRST CENTURY FEMINISM: FORMING AND PERFORMING FEMININITY, P1
[67]  
Spielberger C. D., 1970, MANUAL STATE TRAIT A
[68]  
Statista, 2022, SHAR AM OWN SMARTPH
[69]   Severity of depression and anxiety in relation to problematic smartphone use in the United Arab Emirates: The mediational roles of rumination and fear of missing out [J].
Vally, Zahir ;
Alghraibeh, Ahmad M. ;
Elhai, Jon D. .
HUMAN BEHAVIOR AND EMERGING TECHNOLOGIES, 2021, 3 (03) :423-431
[70]   Modeling habitual and addictive smartphone behavior The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender [J].
van Deursen, Alexander J. A. M. ;
Bolle, Colin L. ;
Hegner, Sabrina M. ;
Kommers, Piet A. M. .
COMPUTERS IN HUMAN BEHAVIOR, 2015, 45 :411-420