Smartphone Addiction and Depression among Low-Income Boys since COVID-19: The Moderating Effect of Being an Only Child

The interplay of psychological resilience and adolescent mobile phone addiction in Henan province, China: insights from latent class analysis

Background

The aim of this study was to classify distinct subgroups of adolescents based on the severity levels of their mobile phone addiction and to investigate how these groups differed in terms of their psychosocial characteristics. We surveyed a total of 2,230 adolescents using three different questionnaires to assess the severity of their mobile phone addiction, stress, anxiety, depression, psychological resilience, and personality. Latent class analysis was employed to identify the subgroups, and we utilized Receiver Operating Characteristic (ROC) curves and multinomial logistic regression for statistical analysis. All data analyses were conducted using SPSS 26.0 and Mplus 8.5.

Methods

We classified the subjects into subgroups based on their mobile phone addiction severity, and the results revealed a clear pattern with a three-class model based on the likelihood level of mobile phone addiction (p < 0.05). We examined common trends in psychosocial traits such as age, grade at school, parental education level, anxiety levels, and resilience. ROC analysis of sensitivity versus 1-specificity for various mobile phone addiction index (MPAI) scores yielded an area under the curve (AUC) of 0.893 (95% CI, 0.879 to 0.905, p < 0.001). We also determined diagnostic value indices for potential cutoff points ranging from 8 to 40. The optimal cutoff value for MPAI was found to be >14, which corresponded to the maximum Youden index (Youden index = 0.751).

Results

The latent classification process in this research confirmed the existence of three distinct mobile phone user groups. We also examined the psychosocial characteristics that varied in relation to the severity levels of addiction.

Conclusion

This study provides valuable insights into the categorization of adolescents based on the severity of mobile phone addiction and sheds light on the psychosocial characteristics associated with different addiction levels. These findings are expected to enhance our understanding of mobile phone addiction traits and stimulate further research in this area.

Relationship between smartphone addiction, loneliness, and depression in adolescents: A correlational structural equation modeling study

PURPOSE

This study was aimed to investigate the relationship between smartphone addiction, loneliness, and depression in adolescents.

DESIGN AND METHODS

This study was designed in a correlational-cross-sectional-descriptive model and was conducted with 1041 adolescents attending high schools in a provincial center in Eastern Turkey. The data were collected through face-to-face interviews using a personal information form, Smartphone Addiction Scale-Short Version for Adolescents, UCLA Loneliness Scale, and Kutcher Adolescent Depression Scale.

RESULTS

The average scores for smartphone addiction were found to be higher among females, individuals with low academic success, and those with a high-income level. Similarly, the average scores for loneliness were higher among individuals residing in broken families and those with parents who have limited literacy. Additionally, the mean scores for depression were higher among individuals with low academic success and those with a high-income level. Furthermore, a significant positive correlation was observed between the duration of smartphone use and levels of smartphone addiction, loneliness, and depression.

CONCLUSION

Smartphone addiction, loneliness, and depression were found to be prevalent above the moderate level in adolescents. Additionally, a significant positive correlation was observed between the depression and loneliness scores of adolescents.

PRACTICE IMPLICATIONS

Pediatric and school nurses should assess children's phone use. Nurses are well-positioned to establish a follow-up program aimed at monitoring adolescents' efforts in managing smartphone use, offering continuous support, and providing guidance when necessary. The implementation of such programs enables prompt intervention in addressing any arising issues.

The experiences of counselors caring for children and adolescents with problematic smartphone use

This study examines field experts' experiences to ascertain the actual circumstances and strategies to increase the efficacy of intervention programs for children and adolescents with problematic smartphone use. Three focus group interviews were conducted via video conferencing. The data were grouped into three major themes: (1) the screening and inflow phase, which included the inaccuracy of the screening tests, barriers in the inflow process, and the importance of school cooperation; (2) the intervention phase, which included the necessity of developing a program tailored to the target audience, the importance of parental participation, and concerns about the vulnerable; and (3) the maintenance phase, which included the lack of a long-term strategy, the need to re-establish the purpose of the counseling/intervention programs, and the need for systematic maintenance of the system. To improve the reliability of the screening test for children and adolescents with problematic smartphone use, it is necessary to improve the measurement tools and environment. To increase parental involvement, education should be provided on perceiving the severity of problematic smartphone use, and program running hours should be varied. The findings offer information necessary for improving counseling and interventions for children and adolescents with problematic smartphone use.

A Systematic Overview of Adolescents’ Smartphone Habits and Internet Addiction During the COVID-19 Era

In order to prevent the spread of the virus during the Covid-19 epidemic period, measures such as maintaining social distance, quarantine practices, and keeping schools closed have been taken in many countries. In this process, individuals' internet use has also increased in order to restore interpersonal relationships that have decreased with staying at home. In addition, the transfer of educational activities, which are risky to be carried out face-to-face during the epidemic period, to online platforms, as in many countries, brought about an increase in the time spent on devices with internet providers in adolescents. For this reason, it is important to evaluate the results of studies examining the concepts of internet and smartphone addiction in relation to the use of the internet in the Covid-19 period. In this context, in this systematic review, "What is the status of adolescents' smartphone and internet addictions in the Covid-19 Era?" The question has been tried to be answered. As a result of the searches made in the databases, fourteen studies were reached and these studies were examined in depth. The findings showed that adolescents’ internet/smartphone addictions were higher than before the epidemic, the prevalence of internet/smartphone addictions increased in general, and internet/smartphone addictions were associated with adolescents' mental disorders and problems.

Impact of income on mental health during the COVID-19 pandemic: Based on the 2020 China family panel survey

Since December 2019, the COVID-19 has continued to rage, and epidemic prevention policies have limited contact between individuals, which may has a great influence on the income of individuals, exacerbate anxiety and depression, and cause serious mental health problems. The current study aims to examine the association between income and mental health during the COVID-19 pandemic by using the data of 9,296 observations from the 2020 China Family Panel Studies. Employing ordinary least squares regression and two-stage least squares regression, we find the significant positive effect of income on Chinese mental health during this pandemic. In addition, the number of cigarettes smoked per day has significant negative effects on mental health. Education levelˎmarriage and exercise frequency have significant positive correlation with mental health. Furthermore, the impact of income on individuals of different groups is heterogeneous during this pandemic. The impact of income for well-educated individuals is less strong than their less-educated counterparts. People who exercise regularly respond less strongly to changes in income than those who do not exercise. Finally, individuals’ salary satisfaction and interpersonal relationship are shown to be the potential mechanism for the effect of income on Chinese mental health.

Lower-Income Predicts Increased Smartphone Use and Problematic Behaviors Among Schoolchildren During COVID-19 Related School Modification: A Longitudinal Study

BACKGROUND

As the coronavirus disease 2019 (COVID-19) has continued for a couple of years, the long-term effects of the pandemic and the subsequent school curriculum modification on the mental health of children and parents need to be investigated. To clarify the changes that can occur during one school year and to predict the risk factors for vulnerable groups, this study identified parameters relative to children's screen time, their problematic behavior, and parental depression.

METHODS

A total of 186 participants were analyzed who were parents of elementary schoolchildren in South Korea. These parents were required to complete a web-based questionnaire twice. The questionnaires were conducted in June 2020 and September 2021. Participants' general demographics including family income, children's screen time, sleep patterns, problematic behavior, and parental depression were assessed via the parental questionnaire that included various measurement tools.

RESULTS

Children's body mass index (BMI) increased significantly in 2021 (18.94 ± 3.75 vs. 18.14 ± 3.30, P < 0.001). Smartphone frequency of use per week (5.35 vs. 4.54, P < 0.001) and screen time per day (3.52 vs. 3.16, P < 0.001) significantly increased during the period of the COVID-19 pandemic. The television screen time (2.88 vs. 3.26, P < 0.001), frequency of viewing (3.77 vs. 4.77, P < 0.001), and children's problematic behaviors significantly decreased (9.15 vs. 11.85, P < 0.001). A lower income household was a key predictor of increased smartphone frequency (B = 1.840, 95% confidence interval [CI], 0.923-2.757, P < 0.001) and smartphone screen time (B = 1.992, 95% CI, 1.458-2.525, P < 0.001). The results showed that the lower income household (B = 5.624, 95% CI, 2.927-8.320, P < 0.001) and a child's psychiatric treatment history (B = 7.579, 95% CI, 5.666-9.492, P < 0.001) was the most significant predictor of problematic behaviors of children and parental depression (B = 3.476, 95% CI, 1.628-5.325, P < 0.001; B = 3.138, 95% CI, 1.827-4.450, P < 0.001).

CONCLUSION

This study suggested that children's smartphone screen time and BMI increased during COVID-19 because of the school curriculum modification following school closures in South Korea. The increased children's problematic behaviors and parental depression were predicted by lower-income households and the previous psychiatric history of children. These results indicate that multiple social support systems to the vulnerable group are needed during the ongoing pandemic and that a modified school setting is required.

[Psychological and behavioral problems in children and adolescents during the coronavirus disease 2019 epidemic: a Scoping review]

OBJECTIVES

To investigate the psychological and behavioral problems and related influencing factors in children and adolescents during the coronavirus disease 2019 (COVID-19) epidemic.

METHODS

China National Knowledge Infrastructure, Wanfang Data, PubMed, and Web of Science were searched using the method of subject search for articles published up to March 31, 2022, and related data were extracted for Scoping review.

RESULTS

A total of 3 951 articles were retrieved, and 35 articles from 12 countries were finally included. Most of the articles were from the journals related to pediatrics, psychiatry, psychology, and epidemiology, and cross-sectional survey was the most commonly used research method. Psychological and behavioral problems in children and adolescents mainly included depression/anxiety/stress, sleep disorder, internet behavior problems, traumatic stress disorder, and self-injury/suicide. Influencing factors were analyzed from the three aspects of socio-demographic characteristics, changes in living habits, and ways of coping with COVID-19.

CONCLUSIONS

During the COVID-19 epidemic, the psychological and behavioral problems of children and adolescents in China and overseas are severe. In the future, further investigation and research can be carried out based on relevant influencing factors to improve the psychological and behavioral problems.

Excessive smartphone use and its correlations with social anxiety and quality of life among medical students in a public university in Malaysia: A cross-sectional study

INTRODUCTION

Smartphone usage has significantly increased in the last decade among young adults has significantly increased in the last decade. While its benefits are undeniable, its negative implications are increasingly emerging. Studies are needed to investigate the effects of excessive smartphone use on a young person's life. This study aimed to determine the prevalence of excessive smartphone use among medical students and its relations with social anxiety, self-esteem, and quality of life.

METHODS

A cross-sectional study was conducted among medical students from Universiti Kebangsaan Malaysia (UKM) in UKM Medical Center. A total of 273 students have consented to participate and completed self-reported questionnaires encompassing sociodemographic information, the Short Version Smartphone Addiction Scale (SAS-SV), the Social Interaction Anxiety Scale (SIAS), the World Health Organization Quality of Life (WHOQOL-BREF) and the Rosenberg Self-esteem Scale (RSES). Sociodemographic data, SIAS score, WHOQOL-BREF score and the Rosenberg Self-esteem Scale score were treated as independent variables. Smartphone addiction Scale score was treated as the dependent variable. Bivariate analysis was used to explore the relationship between independent and dependent variables using the Fisher exact test, Pearson Chi-Square and Pearson correlation coefficient. Multiple linear regression analysis was used to analyze the variables with a p-value of < 0.05 from the Pearson correlation coefficient test.

RESULTS

The percentage of excessive smarphone use among UKM medical students is 48%. The bivariate analysis showed that excessive smartphone use has a small but significant positive correlation with social anxiety (r = 0.173, p = 0.004) and negative correlations with physical health (r = -0.133, p = 0.028), psychological wellbeing (r =-0.135, p = 0.026), social relationships (r = -0.232, p = 0.001), environment (r = -0.260, p = 0.001) and self-esteem (r = -0.128, p = 0.035). In the multiple regression analysis, a better environment predicted a reduced risk for smartphone addiction (β = -0.233, p = 0.013).

CONCLUSION

Almost half of the students were found to have smartphone overdependence. Excessive smartphone use has shown a significant relationship with an increased risk for social anxiety, reduction in self-esteem, and quality of life among medical students. A closer look into the possible intervention is needed in the future to curb the negative effects arising from excessive smartphone use.