The severity of mobile phone addiction and its relationship with quality of life in Chinese university students

Lu, Li; Lok, Grace K.I.; Mei, Song; Cui, Xi Ling; Lin, Li; Ng, Chee H.; Ungvári, Gábor S.; Zhang, Juan; An, Feng Rong; Xiang, Yu Tao

doi:10.7717/peerj.8859

“…For example, high school students with neurotic personality may have obstacles to interpersonal communication due to emotional instability. Mobile phones can make them avoid contact with others to the greatest extent, and in this way can compensate for the lack of information obtained due to the narrow social network [ 36 , 37 ]. The anonymity of using social software on mobile phones can enable them to escape the negative emotions in real life, and moderate use of mobile phones can regulate negative emotions and obtain a sense of happiness [ 38 , 39 ].…”

Section: Discussionmentioning

confidence: 99%

Core self-evaluation, mental health and mobile phone dependence in Chinese high school students: why should we care

Li¹,

Wang²,

You³

et al. 2022

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Background Mobile phone dependence is a common problem in the population of high school students. We aimed to evaluate the core self-evaluation, mental health and mobile phone dependence in Chinese high school students, to provide reliable evidence to the support of high school students. Methods We conducted a survey of high school students in Xiamen, China. The self-assessment questionnaire on mobile phone use dependence among teenagers (SQAPMPU), Mental Health Scale for Middle School Students (MSSMHS) and Core self-evaluation scale were used to evaluate the mobile phone dependence, mental health and core self-evaluation. t-tests, Pearson correlation and multiple linear stepwise regression analyses were conducted to analyze the potential relationships. Results A total of 1692 students were enrolled. The total score of mobile phone dependence of students in grades 10–12 was higher than that of students in grades 7–9. A total of 329 students in grades 7–9 and 371 students in grades 10–12 had abnormal mental status. The detection rate of psychological abnormalities among students in grades 10–12 was higher than that of students in grades 10–12. Core self-evaluation had significantly negative correlation with various factors of mental health (P < 0.01). The worse the mental health, the higher the degree of mobile phone dependence, core self-evaluation played a mediating role between mental health and mobile phone dependence (8.03%). Conclusions Core self-evaluation is an important factor affecting the mental health of high school students and mobile phone dependence. Educators should strengthen core self-evaluation of high school students to improve the mental health and reduce the mobile phone dependence.

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“…Fatehi et al [ 36 ] in Iran showed that IA decreased the QOL in physical, psychological, and social dimensions [ 36 ]. The results of three studies in Taiwan [ 37 ], China [ 49 ], and the USA [ 38 ] indicated that IA decreased the QOL in physical, social, psychological, and environmental aspects. In addition to a small number of cross-sectional studies, which make the comparison and deduction of causal relationships difficult, differences in contexts and ignorance of the underlying factors affecting the QOL dimensions (such as unemployment, chronic diseases, mental/psychological disorders (depression, negative feelings, and stress)) can be considered as reasons for the contradiction between results on the Internet impact on QOL dimensions [ 45 , 50 , 51 ].…”

Section: Discussionmentioning

confidence: 99%

Internet Addiction Effect on Quality of Life: A Systematic Review and Meta-Analysis

Noroozi

¹

,

Hassanipour

²

,

Eftekharian

³

et al. 2021

The Scientific World Journal

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Purpose. Due to the use of different methodologies, tools, and measurements, the positive or negative impact of Internet use on human life quality is accompanied by a series of ambiguities and uncertainties. Therefore, in this study, a systematic review and meta-analysis are conducted regarding the effect of Internet addiction on the quality of life. Methods. A systematic search of resources was conducted to investigate the effect of Internet addiction on the quality of life. The databases of PubMed, Cochrane Library, Scopus, Web of Science, Embase, and Science Direct were searched from January 1980 to July 2020. The articles were screened by two researchers in multiple levels in terms of the title, abstract, and full-text; then, final studies that met the inclusion criteria were retrieved and included in the study. Results. After searching the previously mentioned international databases, 3863 papers were found, 18 of which we included in the final analysis. Surveys indicated that people who had a high Internet addiction received lower scores of quality of life than those who were normal Internet users (OR = 2.45, 95% CI; 2.31–2.61, p < 0.001 ; I2 = 85.23%, p < 0.001 ). Furthermore, There was a negative significant relationship between Internet addiction and quality of life in the psychological (OR = 0.56, 95% CI: 0.32–0.99, p = 0.04 , I2 = 97.47%, p < 0.001 ), physical (OR = 0.58, 95% CI: 0.39–0.86, p = 0.007 , I2 = 95.29%, p = 0.001 ), and overall quality of life score (OR = 0.39, 95% CI: 0.27–0.55, p < 0.001 , I2 = 0.0%, p = 0.746 ). Conclusion. These findings illustrate that Internet addiction should be regarded as a major health concern and incorporated into health education and intervention initiatives.

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“…For excessive smartphone use, i.e., long usage times without considering symptoms of behavioural addiction, associations with poorer sleep quality [ 32 ], bad mood [ 33 ], low psychological well-being [ 34 ] and behavioural and emotional problems [ 35 ] were observed. It is important to mention that most previous studies on PSU were performed in Asian countries (especially South Korea [ 36 ]) and in older adolescents or young adults [ 15 , 17 , 28 ]. They reported that a high number of adolescents (mean age 15.6 years) in South Korea showed PSU (30.9%) [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Associations between problematic smartphone use and behavioural difficulties, quality of life, and school performance among children and adolescents

Kliesener

¹

,

Meigen

²

,

Kieß

³

et al. 2022

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Background European studies on determinants and factors associated with problematic smartphone use (PSU) in children and adolescents are still sparse. This study reports the current amount of PSU symptoms and the presence of (clinically relevant) PSU in German children and adolescents. We also investigated associations between socio-demographic factors, different smartphone usage patterns, and daily smartphone usage time and the amount of PSU symptoms in this group. In addition, associations of PSU symptoms and high smartphone usage times (> 2 h/day) with behavioural problems, quality of life (QoL), and school performance were investigated. Methods Within the framework of the LIFE Child study, 564 children and adolescents aged 10–18 years provided information on PSU symptoms (using the Smartphone Addiction Proneness Scale), daily smartphone usage time, smartphone activities, behavioural strengths and difficulties (using the Strengths and Difficulties Questionnaire), QoL (using the KIDSCREEN-27), and school performance. Multiple regression analyses were applied to assess associations. Results In the present sample, PSU was present in 13 children (2.3%). Older age, female gender, high daily smartphone usage time of > 2 h, and intensive smartphone use for social networking, gaming, or watching video clips were significantly associated with more PSU symptoms. Children and adolescents reporting more PSU symptoms also showed lower QoL, more behavioural difficulties, and poorer school performance, independently of age, gender, socio-economic status, and daily smartphone usage time. In contrast, daily smartphone usage time per se showed only weak or non-significant associations with these aspects of health and behaviour. Conclusion Intensive smartphone use for entertainment may increase the risk of developing PSU symptoms. Furthermore, the results indicate that PSU symptoms (more than long smartphone usage times per se) are associated with more behavioural difficulties and poorer QoL.

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The severity of mobile phone addiction and its relationship with quality of life in Chinese university students

Cited by 25 publications

References 35 publications

Core self-evaluation, mental health and mobile phone dependence in Chinese high school students: why should we care

Core self-evaluation, mental health and mobile phone dependence in Chinese high school students: why should we care

Internet Addiction Effect on Quality of Life: A Systematic Review and Meta-Analysis

Associations between problematic smartphone use and behavioural difficulties, quality of life, and school performance among children and adolescents

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