Factors associated with smartphone addiction: A comparative study between Japanese and Thai high school students

The Association Between Proneness to Smartphone Addiction and Social Anxiety Among School Students and the Mediating Role of Social Support: A Call to Advance Jordanian Adolescents' Mental Health

BACKGROUND

Social anxiety is an emerging public health issue associated with significant impairment of social functioning during adolescence. Among many determinants of social anxiety, proneness to smartphone addiction may significantly contribute to the development of social anxiety. To cope with the consequential development of social anxiety, adolescent school students may rely on various forms of social support. Particularly in the Middle East, including Jordan, the relationship between proneness to smartphone addiction and adolescent social anxiety is understudied.

AIM

To examine the mediating role of social support in the relationship between proneness to smartphone addiction and social anxiety in a sample of adolescent school students.

METHODS

In this cross-sectional study, 432 adolescents were recruited via a random cluster sample from public schools across three provinces in Jordan. The data were collected face-to-face using the Social Anxiety Scale for Adolescents, the Smartphone Addiction Proneness Scale, and the Multidimensional Scale of Perceived Social Support.

RESULTS

Significantly higher levels of social anxiety were associated with females of lower economic status who reported more gaming hours and higher levels of proneness to smartphone addiction. Familial social support significantly mediated the relationship between proneness to smartphone addiction and social anxiety, controlling for the other covariates in the social anxiety model.

CONCLUSIONS

Familial social support reduced the impact of proneness to smartphone addiction on social anxiety. Nurses may supplement treatment for reducing social anxiety in adolescents suffering from proneness to smartphone addiction by fostering sources of familial social support.

Associations between mobile phone involvement, BMI levels, and sleep quality among Chinese university students: evidence from a multi-regional large-scale survey

Objective

This study aims to explore the association between mobile phone involvement, body mass index (BMI) levels, and the sleep quality of Chinese university students.

Methods

Using a cluster sampling method, we selected 17,085 university students from three universities in eastern, central, and western China as the study subjects. Demographic information such as age and sex were collected. The Pittsburgh Sleep Quality Index (PSQI) and the Mobile Phone Involvement Questionnaire (MPIQ) were utilized to measure their sleep quality scores and mobile phone involvement scores, respectively. Pearson correlation analysis, two-way ANOVA, and multiple linear regression were employed to examine the relationship between BMI levels, mobile phone involvement, and sleep quality.

Results

The results show that 15.87% (2,712 participants) are classified as overweight, and 18.45% (3,151 participants) are classified as obese. Additionally, 35.87% (6,125 participants) exhibit mobile phone involvement, while 57.94% (9,899 participants) reported poor sleep quality. Pearson correlation analysis indicates a significant negative correlation (p < 0.01) between sleep quality and both BMI levels and mobile phone involvement. Two-way ANOVA shows the significant effect of BMI levels (p < 0.001) and mobile phone involvement (p < 0.001) on sleep quality, and there is no interaction effect between the two. Additionally, the sleep quality of overweight and obese individuals is significantly poorer than that of those with normal weight (p < 0.05), while the sleep quality of overweight individuals is significantly lower than that of obese individuals (p < 0.05). Multiple linear regression analysis indicates that, after controlling for age and gender, both BMI (β = -2.69) levels and mobile phone involvement (β = -1.34) are significantly negatively associated with sleep quality (p < 0.001), accounting for 19% of the variance in poor sleep quality.

Conclusion

This study found that BMI levels and mobile phone involvement are both independently associated with sleep quality among Chinese university students. However, among individuals with excess BMI, although their sleep quality is worse than individuals with normal weight, overweight individuals may have poorer sleep quality than obese individuals. This study also revealed high rates of overweight and obesity, with over half of participants reporting poor sleep quality, highlighting the need for targeted interventions to address weight management and mobile phone usage to improve sleep health in this population.

Cognitive failures and hand/neck discomfort: Does smartphone addiction contribute?

BACKGROUND

Due to the emergence of smartphone addiction, as a 21th century phenomenon, investigating its subsequent negative effects is essential.

OBJECTIVE

The present study aims to test the predicting effect of smartphone addiction on musculoskeletal discomfort in hand/neck region as well as cognitive failures.

METHODS

A cross-sectional study was designed in which 533 smartphone users (60.2% females and 39.8% males; mean age: 35.9±11.0 years) participated. Smartphone Addiction Scale (SAS), Cognitive Failures Questionnaires (CFQ), Neck Disability Index (NDI) and Cornell Hand Discomfort Questionnaire (CHDQ) were used for data collection. Age, gender and occupational use of electronic devices were considered as socio-demographic factors. Independent t-test, chi-square, and logistic regression were used for data analysis.

RESULTS

The overall prevalence of smartphone addiction was 37.9% among Iranian 20-61 years users. Addicted smartphone users were 3.3, 2.2, 2.9, and 2.8 times more likely to develop musculoskeletal discomfort in right hand, left hand, neck, and cognitive failures than non-addicted smartphone users. High occupational use of electronic devices predicted right-hand discomfort (by 2.6 times) as well as cognitive failures (by 3.4 times). Women were significantly more likely to develop all the studied outcomes. Age did not predict any of the studied outcomes.

CONCLUSIONS

Addiction to smartphones can lead to a sharp rise in the prevalence of neck and hand discomfort, as well as cognitive failures, particularly among working age people. This is concerning issue that requires effective preventive and corrective measures. Developing behavioral approaches to address this problem can help reduce its impact on society.

The association between digital addiction and interpersonal relationships: A systematic review and meta-analysis

Digital addiction (DA) has been identified as an emerging public health problem worldwide. However, the extent and direction of the association between DA and interpersonal relationships (IRs) are unknown. Does DA have adverse effects on IRs, and how credible is the evidence for this association in published analyses of real-world data? Using the PRISMA method, we conducted a meta-analysis to quantitatively synthesize the results of the relevant studies and obtain reliable effect size estimates and performed an analysis of moderating factors. A systematic literature search identified 98 studies involving 134,593 participants and 99 effect sizes. A significant negative association was observed between DA and IRs. Importantly, our meta-analysis revealed that the DA subtype has no significant moderating effect on IRs, suggesting that combining numerous categories of DA rather than focusing on specific forms of DA may be appropriate for understanding the relationship between DA and IRs. Relative to the IR subtype, the association between DA and offline relationships is significant and negative, whereas the association between DA and online relationships is significant and positive. The strength of the relationship is also influenced by the participants' sex ratio, educational level, and measurement tools. These results may help resolve the disagreement over the magnitude and direction of the association between DA and IRs and have potential implications for the treatment of DA.

Predicting Smartphone Addiction Trajectories in Korean Adolescents: A Longitudinal Analysis of Protective and Risk Factors Based on a National Survey from 2018 to 2020

This longitudinal study aimed to identify the role of psychosocial factors affecting smartphone addiction (SA) among Korean adolescents and predict the trajectory of SA based on the Korean Children and Youth Panel Survey (KCYPS) 2018 to 2020. The dependent variable was SA score as measured by the Korean Smartphone Addiction Propensity Scale (SAPS), and the independent variables were psychosocial factors (attention, grit, life satisfaction, self-esteem, aggression, depression, social withdrawal and physical symptom). Generalized estimating equation (GEE) analysis (adjusted for covariates) results indicated that attention (B = -0.346, P < .001), grit (B = -0.402, P < .001), life satisfaction (B = -0.150, P < .001), and self-esteem (B = -0.099, P < .001) were protective factors for reducing SA score. Conversely, aggression (B = 0.222, P < .001) and depression (B = 0.067, P = .005) were predicted to be risk factors for increasing SA score. A better understanding of the relationship between behavioral addiction and psychosocial development factors in adolescence will assist in the development of more effective prevention and treatment strategies.

Smartphone addiction, sleep quality, depression, anxiety, and stress among medical students

Introduction

Studies consistently link excessive smartphone use to poor sleep quality, depression, anxiety, and stress. This study specifically aimed to investigate these associations among medical students in Belgrade and Nis (Central Serbia).

Materials and methods

The cross-sectional study included a sample of 761 students, who were selected from both the Faculties of Medicine at the University of Belgrade and the University of Nis. Questionnaires, including the International Physical Activity Questionnaire - Short Form (IPAQ-SF), Smartphone Addiction Scale - Short Version (SAS-SV), the Pittsburgh Sleep Quality Index (PSQI), and the Depression, Anxiety, and Stress Scale - 21 items (DASS-21), were completed by the participants. Statistical analysis techniques, such as the Chi-square test, student's t-test, and logistic regression, were employed to examine the relationship between smartphone addiction, physical activity, sleep quality, depression, anxiety, and stress.

Results

The findings indicated a prevalence of smartphone addiction among medical students at 21.7%, with rates of 22.9% among males and 21.1% among females. Females exhibited significantly higher scores on the SAS-SV scale compared to males (p = 0.032). Univariate logistic regression analysis revealed significant associations between smartphone addiction and spending over 4 h daily on smartphones (OR = 2.39; p < 0.001), poor sleep quality (OR = 1.65; p = 0,005), as well as elevated levels of stress (OR = 1.75; p = 0.003), anxiety (OR = 2.04; p < 0.001), and depression (OR = 2.29; p < 0.001). Multivariate regression analysis identified spending more than 4 h daily on smartphones (OR = 2.39; p < 0.001) and increased levels of depression (OR = 2.51; p < 0.001) as independent significant factors associated with smartphone addiction.

Conclusion

This study sheds light on the prevalence of smartphone addiction among medical students, with spending excessive time on smartphones and higher levels of depression standing out as significant factors. Future research should delve into the underlying mechanisms and causal relationships between smartphone addiction and these psychosocial factors. Understanding these connections will aid in developing effective interventions and strategies to tackle this growing public health concern.

Impact of COVID-19 on Adolescents' Smartphone Addiction in South Korea

The outbreak of COVID-19 impacted numerous people globally, but most notably affected adolescents negatively by contributing to the increase in their use of media and smartphones and therefore their susceptibility to smartphone addiction. Based on the social-ecological model, this study seeks to identify the individual-, family-, and school-level factors of smartphone addiction through two groups of users: a first group whose smartphone usage time increased after the outbreak of COVID-19, and a second group whose usage time did not. Based on the data collected from 360 Korean adolescents aged 15 to 18, results reveal that personal-level factors (i.e., gender, depressive symptoms, self-control, and cyberbullying victimization) are associated with smartphone addiction. For the group whose smartphone usage time increased after the outbreak, economic status, academic performance, and academic year were related to smartphone addiction. Based on these findings, the study makes specific guidelines and suggestions on addressing the smartphone addiction among Korean adolescents.

Problematic smartphone and social media use among undergraduate students during the COVID-19 pandemic: In the case of southern Ethiopia universities

BACKGROUND

Smartphone and social media use are supposed to be integral parts of university students' daily lives. More specifically, smartphones and social media are frequently used for communication in daily life during the COVID-19 pandemic. Nonetheless, uninterrupted and persistent use of these technologies may lead to several psychological problems. Even though smartphones and social media were used more frequently during the pandemic, there is no evidence suggesting that the studies were not undertaken in low-income countries, including Ethiopia. Therefore, the current study aimed to assess problematic smartphone use and social media use among undergraduate university students in southern Ethiopia.

METHODS

A cross-sectional study was carried out among 1,232 university students using a simple random sampling technique. The Bergen Social Media Addiction Scale and Smartphone Application-Based Addiction Scale were used to collect data on social media and smartphone use, respectively. The Beck Depression Inventory, Generalized Anxiety Assessment Tool, Rosenberg Self-Esteem Scale, and Pittsburg Sleep Quality Index were standardized tools used to measure other independent variables. To identify factors, simple and multiple linear regression analyses were performed. A p-value of 0.05 was used to determine statistical significance.

RESULTS

The overall response rate was 95%. The mean scores for problematic smartphone and problematic social media use were 17 ± 3.3/36 and 12.7 ± 2.2/30, respectively. A linear regression model revealed that being female, first-year students and poor sleep quality were significantly associated with problematic smartphone use. Factors associated with problematic social media use (PSMU) were depression, substance use, and urban residence.

CONCLUSIONS

This study identified significant problems with smartphone and social media use among university students. Therefore, it is preferable to provide psychological counselling, educate students about safe, beneficial, and healthy internet use, and focus on recognized high-risk groups in order to give them special attention. It is also preferable to seek counselling about substance use. It is preferable to regularly screen and treat individuals with psychological problems in collaboration with stakeholders.

Relationships between adolescent smartphone usage patterns, achievement goals, and academic achievement

As smartphones are emerging as a common device for adolescent, prior studies have provided theoretical and empirical evidence for the factors affecting adolescent smartphone use. However, mainstream research has tended to focus on the negative effects of smartphone. Even though smartphone use can have adverse outcomes, it may also allow students to engage in flexible mobile learning, gain access to important information about their possible future careers and achieve their personal goals. To fill this gap in adolescent smartphone usage, this study explored the smartphone usage patterns of adolescent subpopulations and the associations with their self-control, achievement goals, and academic achievements. Data were collected from 2341 s-year high school students as part of a larger longitudinal panel study. Three distinct smartphone usage profiles were identified in the latent profile analysis: learning, recreational use, and minimal use. Respondents with high perseverance were assigned to the learning group, and respondents with lower compliance and perseverance were assigned to the recreational group. The achievement goal score was found to be the highest in the learning group and lowest in the recreational group. Academic achievement was found to be higher in both the learning and minimal use groups than the recreational use group. Based on these findings, the implications of this study for research and practice are discussed.

Sexual health literacy and preventive behaviors among middle-school students in a rural area during the COVID-19 situation: A mixed methods study

Background: This study explored the association between sexual health literacy (SHL) and preventive behaviors of pregnancies and sexually transmitted diseases (STDs) among middle-school students during the COVID-19 outbreak to aid in the development of an informative program.

Methods: Mixed-method study with stratified two-stage cluster sampling was used to obtain 730 students from 20 middle schools in a rural province of Thailand. Online self-administered questionnaire was used to collect data from February 2020 to February 2021. Two brainstorming sessions were conducted with a purposeful sample of 25 stakeholders. Multiple linear regressions were used to assess the relationships.

Results: The associated significant factors with the preventive behaviors were sex (b=2.06, 95% CI: 1.07, 3.05), nightlife (b=-2.33, 95% CI: -3.99, -0.67), drinking alcoholic beverages (b=2.24, 95% CI: -3.24, -1.23), sexual intercourse experience (b=-2.64, 95% CI: -4.56, -0.72), and SHL (b=0.12, 95% CI: 0.08, 0.16). The stakeholders recommended an edutainment online program via Facebook.

Conclusion: This study investigated factors associated with SHL and preventive behaviors among middle school students. The most effective variable in this model was SHL. Therefore, a trial of an online program emphasizing SHL improvement should be examined for effectiveness among these students and seems appropriate, considering their rural area context and middle-school status.

Food Addiction and Emotional Eating Behaviors Co-Occurring with Problematic Smartphone Use in Adolescents?

Addiction in adolescence is increasing and has a significant impact on physical and mental health. Notably, addictions can be comorbid and affect each other. Despite the recent growing interest in food addiction (FA) and problematic smartphone use (PSU), few studies have investigated their association in adolescents. We investigated the relationship between FA and PSU in adolescents and the effects of eating behaviors. A total of 209 adolescents (44.5% male; mean age = 12.86 ± 0.7 years) participated in the current school-based community study. We found a positive correlation between the dimensional Yale Food Addiction Scale for Children 2.0 (dYFAS-C2.0) and the Smartphone Overdependence Scale after adjusting for age, sex, body mass index, and socioeconomic status. The high-risk PSU group accounted for 17.2% of participants. Furthermore, this group showed 2.3 times higher dYFAS-C2.0 scores than the general group. Emotional overeating and satiety responsiveness were correlated with PSU. A comprehensive evaluation of addiction symptoms is needed for proper intervention, especially in adolescents with symptoms of abnormal eating behaviors.

Problematic Mobile Phone Use and Life Satisfaction Among University Students During the COVID-19 Pandemic in Shanghai, China

Objective

This study examined problematic mobile phone use (PMPU) and its relationship with life satisfaction in Chinese university students during the pandemic.

Methods

An anonymous online survey was conducted in a university in China. The Mobile Phone Addiction Index (MPAI) and the Satisfaction with Life Scale (SWLS) were used to assess the severity of problematic mobile phone use and life satisfaction, respectively. Data on demographic and health-related factors were also collected.

Results

A total of 1,491 undergraduate students (73.3% were male) completed the survey. On average, students in the survey reported spending 7.4 ± 4.3 h/day on phone use. Their MPAI score was 38.1 ± 13.3 and SWLS score was 24.9 ± 6.8, respectively. After controlling for confounding factors, the MPAI score was significantly associated with lower life satisfaction. Multiple linear regression revealed that higher monthly allowances, frequent insomnia, longer phone use duration were significantly associated with PMPU.

Conclusion

University students in China spend nearly half of their waking hours on mobile phone use, significantly longer than before the COVID-19 pandemic. PMPU is associated with insomnia, lower life satisfaction and higher allowances. If the trend continues after the pandemic, interventions may be needed. Increase in-person interactions, limiting online social and gaming time, awareness campaign may be effective in reducing the impact of PMPU and improve life satisfaction.

The Relationship between Smartphone Addiction, Parent–Child Relationship, Loneliness and Self-Efficacy among Senior High School Students in Taiwan

This study explores the link between smartphone addiction in senior high-school students, parent–child relationship, loneliness, and self-efficacy on the basis of the theory of planned behavior (TPB) and social cognitive theory (SCT). A survey of 2172 students (1205 female students, 966 male students; mean age = 16.58 years, SD = 0.78) from 32 senior high schools in Taiwan was conducted. Moderation mediation analysis was performed using Model 14 of SPSS PROCESS-macro to test the hypotheses of this study. The result showed that the parent–child relationship was negatively related both to smartphone addiction and loneliness, which mediated the link between parent–child relationship and smartphone addiction. Self-efficacy was also found to moderate the level of loneliness related to smartphone addiction. Specifically, loneliness will ease when the parent–child relationship improves, and smartphone addiction will accordingly lessen. It was also discovered that the elevation of self-efficacy could mitigate the level of addiction. Lastly, this study provided parents, education agencies, and other policymakers in the education sector with implications based on these findings. Preventive measures for smartphone addiction and recommendations for future investigations are also given.

An Investigation into Smartphone Addiction with Personality and Sleep Quality among University Students

Over the past two decades, smartphones have become common, and the accompanying devices have also become much more popular and easily accessible worldwide. With the development of smartphones, accompanied by internet facilities, excessive smartphone use or smartphone addiction may cause sleep disturbance and daily dysfunction. This study proposed examining the association between personality traits and smartphone addiction and its effects on sleep disturbance. Four hundred and twenty-two university participants (80 male and 342 female participants) with a mean age of 20.22 years old were recruited in this study. All participants were asked to complete the following questionnaires: Smartphone Addiction Inventory (SPAI), Tri-dimensional personality questionnaire (TPQ), and Chinese Pittsburgh Sleep Questionnaire Index (CPSQI). The results showed that people with a high tendency toward novelty seeking (NS) as a personality trait, compared to those with lower tendency toward NS, are more likely to become addicted to smartphone use. Moreover, those with a stronger trait of being NS and specific impulsivity factor were found to have higher total scores in the SPAI (p < 0.05). In addition, linear regression analysis showed that the individuals with higher scores for withdrawal symptoms on the SPAI and anticipatory worry factor on the TPQ tended to have higher CPSQI total scores (p < 0.05). This information may be useful for prevention in individuals with personality traits making them vulnerable to smartphone addiction and for designing intervention programs to reduce intensive smartphone use and programs to increase capability in managing smartphone use.

Mobile learning acceptance in social distancing during the COVID-19 outbreak: The mediation effect of hedonic motivation

M‐learning is a trending field in educational organizations, companies, and also for individual study. However, in some regions the ampleness of the phenomenon is not quantifiable or comparable due to the lack of an adequate framework and reliable metrics. Our research intends to make a little light by assessing the degree of m‐learning adoption in students at a moment when face‐to‐face education moved suddenly online due to the COVID‐19 outbreak's rapid and unpredictable spread. A new model relying on the Unified Theory of Acceptance and Use of Technology (UTAUT) was built to investigate and explain relationships between constructs. It reveals the key factors affecting technology adoption by considering hedonic motivation a mediator instead of an exogenous variable as in UTAUT2. Based on an analysis of 311 higher education learners, the way how performance expectancy, effort expectancy, social influence, and facilitating conditions influence directly or indirectly the behavioral intention is researched. The analysis was conducted employing partial least squares structural equation modeling. The strongest relationship is between hedonic motivation and behavioral intention followed by the one between perceived effectiveness and hedonic motivation. Age, gender, and experience moderate the model's relationships. Research contributes to theory development by successfully adjusting the original UTAUT model. Results indicate that universities may offer learners an enjoyable m‐learning experience by activating social support groups and inserting gameplay elements into the learning system.