Prolonged mobile phone use is associated with depressive symptoms in Chinese adolescents

Liu, Jianghong; Liu, Colin X.; Wu, Tina; Liu, Bao-Peng; Jia, Cun-Xian; Liu, Xianchen

doi:10.1016/j.jad.2019.08.017

Cited by 64 publications

(36 citation statements)

References 30 publications

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“…Studies have shown that in individuals with PMPU, constant exposure to blue light can inhibit the secretion of melatonin, and cause sleep and circadian rhythm disorders [40,41], which might be an important factor in the generation of psychopathological symptoms such as depression [42]. Previous studies have explored the mediating role of sleep quality between PMPU and depressive symptoms using crosssectional study designs [43,44]. However, there have also been studies with conflicting results, in which depressive symptoms played a mediating role between PMPU and sleep quality [45].…”

Section: Sleep Qualitymentioning

confidence: 99%

Longitudinal relationships among problematic mobile phone use, bedtime procrastination, sleep quality and depressive symptoms in Chinese college students: a cross-lagged panel analysis

Cui

Yin

et al. 2021

BMC Psychiatry

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Background Cross-sectional and longitudinal studies have found that problematic mobile phone use, bedtime procrastination, sleep quality, and depressive symptoms are strongly associated. However, studies are inconsistent regarding whether problematic mobile phone use predicts depressive symptoms or vice versa, and sleep factors have been infrequently focused on in this regard. In addition, few studies have examined the longitudinal associations and directions of effects between these factors. Therefore, this study aims to explore the longitudinal relationship among problematic mobile phone use, bedtime procrastination, sleep quality, and depressive symptoms in college students. Methods Overall, 1181 college students completed questionnaires on problematic mobile phone use, bedtime procrastination, sleep quality, and depressive symptoms at two time points 12 months apart. A cross-lagged model was used to examine the longitudinal relationship between these factors. Results Cross-lagged analyses showed significant bidirectional relationships of problematic mobile phone use with bedtime procrastination and depressive symptoms. Additionally, there were also significant bidirectional relationships of sleep quality with bedtime procrastination and depressive symptoms. Problematic mobile phone use predicted subsequent sleep quality one-way, and bedtime procrastination predicted subsequent depressive symptoms one-way. Conclusions This study further expands our understanding of the longitudinal and bidirectional relationships among problematic mobile phone use, bedtime procrastination, sleep quality and depressive symptoms and helps school mental health educators design targeted interventions to reduce problematic mobile phone use, sleep problems, and depressive symptoms among college students.

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Section: Sleep Qualitymentioning

confidence: 99%

Longitudinal relationships among problematic mobile phone use, bedtime procrastination, sleep quality and depressive symptoms in Chinese college students: a cross-lagged panel analysis

Cui

Yin

et al. 2021

BMC Psychiatry

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“…This dataset focuses on the impact of the excessive use of COVID-19′s e-learning digital tools on university students’ psychological and mental health. The dataset further investigates whether there is a correlation between the students’ prolonged use of e-learning digital tools, imposed by the COVID-19 crisis, and the psychosomatic symptoms and disorders [ 1 , 2 ].…”

Section: Data Descriptionmentioning

confidence: 99%

Dataset of Jordanian university students’ psychological health impacted by using e-learning tools during COVID-19

Haider

Al-Salman

2020

Data in Brief

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A dataset was compiled to examine the psychosomatic impact of COVID-19′s e-learning digital tools on Jordanian university students’ well-being. In response to the state of emergency imposed by COVID-19, Jordanian universities switched to the online learning model as an alternative to traditional face-to-face education. The researchers designed a questionnaire that consists of two main sections; the first section included demographic information including gender, level/year, age, and cumulative average (GPA). The second section comprised five main constructs: (1) use of digital tools (mobile phone, laptop, i-pad) before and after COVID-19, (2) sleeping habits before and after COVID-19, (3) social interaction, (4) psychological state, and (5) academic performance. The researchers contacted different instructors teaching compulsory courses at four public and private universities and asked them to distribute the electronic questionnaire. Using the snowball sampling method, the questionnaire was delivered to students studying at the selected universities, and a total of 775 responses were received. The data were analyzed according to Likert's five-point scale, where frequencies and percentages were calculated. The data will be useful for researchers interested in studying the relationship between the e-learning model and psychosomatic disorders. Policymakers can use the data to identify university students’ emotional and psychological needs and propose practical solutions for their educational well-being.

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“…Besides, mobile health application usage has reduced somatic anxiety by 18% and depression symptoms by 22%, to a manageable level, and improves students' quality of life [63]. On the other hand, the authors argue that prolonged mobile phone use for more than 2 hours per day among teenagers has significantly contributed to a higher risk of depression [64]. Meanwhile, social media use also posed a threat to teenagers' well-being as according to the study, 201 out of 225 Instagram post contains Non-suicidal self-injury (NSSI) hashtag which is associated to depression and selfharm [65].…”

Section: Well-beingmentioning

confidence: 99%

“…The most prevalent of these problems reported is the excessive use of technologies (e.g., internet, computers, smartphones, mobile devices) associated with mental health issues and poor physical fitness. Several studies indicated that teenagers that are categorized into the same internet addiction (IA) cohort were linked to severe depressive symptoms [64,73,74,76]. One of the reasons is because the majority of teenagers have exceeded the ideal screen time limit when using digital devices.…”

Section: Most Studied Research Areasmentioning

confidence: 99%

“…One of the reasons is because the majority of teenagers have exceeded the ideal screen time limit when using digital devices. According to [64], teenagers' recommended screen time is a maximum of two hours per day. Besides, the extensive use of digital devices also constituted to poor physical health such as musculoskeletal pain, overweight or even unbalance diet [51,54,[56][57][58].…”

Section: Most Studied Research Areasmentioning

confidence: 99%

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Do information and communication technologies influence skills, competencies, health and well-being of teenagers? Current evidence

Lim¹,

Chua²,

Islam³

2021

EAI Endorsed Trans Perv Health Tech

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INTRODUCTION: Information and Communication Technologies are deemed to be a significant influence on teenagers' development. It is important for studies to be conducted to assess the underlying influence of ICT on the teenager age group. OBJECTIVES: The aim of this paper is to review whether ICT influences teenagers' skills, competencies, health and wellbeing based on previous studies. METHODS: Articles from 2015 to 2020 were selected for analysis to identify the influences on teenagers. RESULTS: Computer and mobile devices offer opportunities to improve literacy in digital skills and competencies. It is also evident that teenagers are prone to risks of getting musculoskeletal symptoms as a result of excessive use of such devices, and it also leads to unforeseen illnesses such as depression in the case of teenager's well-being. CONCLUSION: Adopting ICT may have beneficial implications for teenagers, but it can pose more adverse effects on their development when used excessively.

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Prolonged mobile phone use is associated with depressive symptoms in Chinese adolescents

Cited by 64 publications

References 30 publications

Longitudinal relationships among problematic mobile phone use, bedtime procrastination, sleep quality and depressive symptoms in Chinese college students: a cross-lagged panel analysis

Longitudinal relationships among problematic mobile phone use, bedtime procrastination, sleep quality and depressive symptoms in Chinese college students: a cross-lagged panel analysis

Dataset of Jordanian university students’ psychological health impacted by using e-learning tools during COVID-19

Do information and communication technologies influence skills, competencies, health and well-being of teenagers? Current evidence

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