How different levels of mobile phone addiction relate to adolescent depressive symptoms: the mediating role of parent-adolescent relationships

Gao, Qiufeng; Sun, Ruimei; Li, Bing; Xiang, Kangqiao; Zheng, Mianping; Fu, En; Kong, Fanchang

doi:10.1007/s10862-022-09993-5

Cited by 3 publications

(5 citation statements)

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“…For example, the Mobile phone Addiction Index (MPAI) is the most common scale to screen MPA and its total score ranges from 17 to 85 ( Leung, 2008 ). Some studies take 51 as the cut-off value of having MPA or not, while others take 60 ( Gao et al., 2022 ; Li et al., 2022 ). However, we took another measure approach of MPAI, which is consistent with the Young's Internet Addiction Diagnosis Questionnaire ( Young, 1998 ).…”

Section: Discussionmentioning

confidence: 99%

“…It has an advantage of generalizing the findings of the study for adolescents around the China. Second, we controlled some confounding variables in the analysis that are highly related to MPA and suicidality, including depression, anxiety, smoking, and drinking alcohol ( Gao et al., 2022 ; Ismail et al., 2020 ; Kim, 2022 ; Kim & Han, 2020 ; Li et al., 2022 ; Shi et al., 2021 ; Yang et al., 2019 ). Consequently, the results could be more stable and reliable.…”

Section: Discussionmentioning

confidence: 99%

“…Our findings have several practical implications for developing prevention programs for suicide among Chinese adolescents. First, considering the direct effect of MPA on suicidality, it is reasonable for parents and teachers to limit mobile phone use duration in adolescents and guide them to utilize mobile phones with beneficial functions, such as online learning and searching information ( Gao et al., 2022 ). Concerning clinical implications, mental health professionals should monitor suicidal risk in mobile phone addicts.…”

Section: Discussionmentioning

confidence: 99%

“…The amount of mobile phone users has reached 5 billion globally, and it is anticipated that this number will dramatically increase in the forthcoming years ( Islam, 2021 ). In China, mobile phone users are over 1,028 million in 2021, and 13.3% of these population are adolescents between the ages of 10 and 19 years ( Gao et al., 2022 ). Mobile phones have been an essential tool for communication, entertainment, and learning in our daily lives ( Chen et al., 2016 ; Demirci, Akgönül, & Akpinar, 2015 ; Jasso-Medrano & López-Rosales, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

“…More importantly, growing evidence has found that MPA is related to various adverse outcomes ( Kim & Han, 2020 ; Xie, Dong, & Wang, 2018 ), such as emotional or psychological problems (i.e. depressive symptoms, anxiety, and suicidality) ( Chen et al., 2016 ; Elhai, Levine, Dvorak, & Hall, 2017 ; Gao et al., 2022 ; Kim & Han, 2020 ), poor sleep quality ( Demirci et al., 2015 ; Yang et al., 2020 ), poor academic performance ( Kuss & Griffiths, 2011 ; Samaha & Hawi, 2016 ), and physical health problems (i.e. cardiovascular diseases and obesity) ( Lissak, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

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Mobile phone addiction and suicide behaviors among Chinese adolescents: The mediation of poor sleep quality

Cheng,

Peng,

Rong

et al. 2024

JBA

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Background and aimsMobile phone addiction (MPA) is emerging among adolescents, especially during the COVID-19 pandemic. Nevertheless, there is a dearth of knowledge regarding the correlation between MPA and suicide behaviors and its mechanism. The objective of the current study is exploring the direct effect of MPA on suicide behaviors and the indirect effect through poor sleep quality.MethodsA total of 18,900 Chinese adolescents aged 12 to 18 were recruited via a multi-stage cluster sampling method.ResultsThe prevalence of MPA and poor sleep quality was 26.2 and 23.1%, respectively. During the past year, 24.4% participants were involved in suicide behaviors. Specifically, suicide ideators, suicide planners, and suicide attempters were 10.7, 8.4, and 5.3%, respectively. Particularly, rural females had the highest prevalence of suicide behaviors, MPA, and poor sleep quality. Logistic regression analysis showed that MPA was significantly associated with suicide ideators (OR = 1.22, 95% CI: 1.09–1.37, p < 0.001) and planners (OR = 1.18, 95% CI: 1.04–1.34, p < 0.05), but not for suicide attempters (p > 0.05). Structural equation modelling demonstrated that MPA had direct effect on suicide behaviors (β = 0.145, 95% CI = 0.127–0.160), and poor sleep quality partially mediated the relationship (the mediating ratio was 46.7%). The mediating ratio of poor sleep quality was the highest in urban males.ConclusionsMPA has both direct and indirect effects on suicide behaviors. For suicide prevention, limited mobile phone use and improvement sleep quality may be practical for adolescents. Additionally, more efforts of intervention could give priority to rural girls.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mobile phone addiction and suicide behaviors among Chinese adolescents: The mediation of poor sleep quality

Cheng,

Peng,

Rong

et al. 2024

JBA

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Family factors related to adolescent screen media use and mental health outcomes: A systematic review and recommendation for practices

Liu,

Flores

et al. 2024

Journal of Adolescence

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IntroductionScreen media serves an essential role in adolescents' lives, posing growth opportunities and mental health challenges. Family plays a crucial role in mitigating these challenges. This systematic review offers a comprehensive analysis of the family factors related to adolescent screen media use and mental health.MethodsA systematic search was conducted in PubMed, CINAHL, PsycINFO, Scopus, and Embase, adhering to Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guidelines using the following inclusion criteria: English, peer‐reviewed, observational design, and published since 2013; adolescent samples aged 10–17 years; and examining screen media use, family factors, and internalizing problems. The role of family factors as predictors, moderators, and mediators was also examined.ResultsOf the 3587 records, 32 met the inclusion criteria. These studies, primarily cross‐sectional, presented a global perspective of 14 countries. A heterogeneous range of family factors, screen media use, and mental health outcomes were examined, revealing significant associations between elevated screen media use and internalizing problems. Positive family processes and democratic media‐specific parenting mitigate such association. A few studies underscored family socioeconomic status (SES), noting elevated screen media use and mental health risks among adolescents in families of low SES.ConclusionsAccumulating evidence supports the important role of positive family contexts in fostering balanced screen media use and mental health in adolescents, accentuating the need for professional screening and education to promote positive screen media use among adolescents and families. Further research requires refinement in measurement and methodology to better capture the intricate relationship between family dynamics, screen media use, and adolescent mental health.

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Depression and internet addiction among adolescents:A meta-analysis

Zhang

Zhao

2023

Psychiatry Research

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How different levels of mobile phone addiction relate to adolescent depressive symptoms: the mediating role of parent-adolescent relationships

Cited by 3 publications

References 58 publications

Mobile phone addiction and suicide behaviors among Chinese adolescents: The mediation of poor sleep quality

Mobile phone addiction and suicide behaviors among Chinese adolescents: The mediation of poor sleep quality

Family factors related to adolescent screen media use and mental health outcomes: A systematic review and recommendation for practices

Depression and internet addiction among adolescents:A meta-analysis

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