Correlations between Problematic Mobile Phone Use and Depressiveness and Daytime Sleepiness, as Well as Perceived Social Support in Adolescents

Nowak, Marta; Rachubińska, Kamila; Starczewska, Małgorzata; Kupcewicz, Ewa; Szylińska, Aleksandra; Cymbaluk‐Płoska, Aneta; Grochans, Elżbieta

doi:10.3390/ijerph192013549

Cited by 8 publications

(6 citation statements)

References 61 publications

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“… 45 Previous findings suggest that adolescents with lower perceived social support have problematic smartphone use behaviors and significantly higher severity of depressive symptoms and daytime sleepiness. 47 The findings may support the hypothesis that problematic smartphone use might mediate the association between social support and daytime sleepiness. Therefore, the roles of loneliness and problematic smartphone use in the relationship between social support and daytime sleepiness should be explored more broadly and thoroughly.…”

Section: Introductionsupporting

confidence: 54%

Social Support and Daytime Sleepiness Among Chinese Medical Students: Mediating Roles of Loneliness and Problematic Smartphone Use

Chen,

Li,

Wen

2023

PRBM

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Background Sleep problems have become a serious threat to public health worldwide. Daytime sleepiness is an important indicator of many sleep problems, which have a significant impact on academic performance, physical and mental health, and wellbeing among medical students. We aimed to explore the factors associated with daytime sleepiness among medical students. Methods We conducted a cross-sectional survey of 466 medical students recruited via convenience sampling. Self-rated psychometric scales, including the Social Support Rate Scale, the Epworth Sleepiness Scale, the Chinese version of the UCLA loneliness scale, and the Mobile Phone Addiction Index (MPAI), were utilized to evaluate social support, daytime sleepiness, loneliness, and problematic smartphone use. A sequential mediation model was constructed with daytime sleepiness as the dependent variable, social support as the independent variable, and loneliness and problematic smartphone use as mediating variables. Age, gender, and grade were taken as covariates. Results Social support among medical students was negatively associated with loneliness, problematic smartphone use, and daytime sleepiness ( p < 0.01). A sequential mediation analysis showed that loneliness (the first mediator) and problematic smartphone use (the second mediator) sequentially mediated the path from social support to daytime sleepiness among medical students ( β = −0.008; 95% CI = −0.016, −0.002). Moreover, there were also significant mediating roles observed in the relationship between social support and daytime sleepiness via loneliness only ( β = −0.037; 95% CI = −0.062, −0.015) and problematic smartphone use only ( β = −0.022; 95% CI = −0.041, −0.008). Conclusion Social support, loneliness, and problematic smartphone use among medical students influenced their daytime sleepiness. Interventions targeting medical student loneliness and problematic smartphone use behaviors might attenuate the effects from low levels of social support and further improve daytime sleepiness.

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Section: Introductionsupporting

confidence: 54%

Social Support and Daytime Sleepiness Among Chinese Medical Students: Mediating Roles of Loneliness and Problematic Smartphone Use

Chen,

Li,

Wen

2023

PRBM

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“…The study of 567 Polish students showed that students in the MPD category had lower social support levels compared to non-MPD students, and that low social support levels were also positively associated with isolation and social fear among students, which led to more frequent use of mobile phones. 41 A study of 1149 Turkey college students found that those who used their phones problematic had fewer support resources from family, teachers and friends than those who used their phones normally. 72 Furthermore, a meta-analysis in China found that the negative correlation between MPD and social support in the eastern region (r = −0.152) with the best economic development level is lower than that in the central region (r = −0.216), but because of the lack of studies on the relationship between MPD and social support in the western region with the lowest level of economic development, few studies were included in the meta-analysis, so the relationship between the two is not significant.…”

Section: Discussionmentioning

confidence: 99%

“… 84 Additionally, previous studies have found that the cause of MPD in individuals is not entirely due to the lack of realistic social support resources, but also may be due to the failure to make good use of existing social support. 41 Therefore, in addition to providing adequate social support to adolescents, we should also pay attention to their emotional social support and support utilization.…”

Section: Discussionmentioning

confidence: 99%

“… 40 An empirical survey of adolescents in Poland has also shown that social support is an important resource for avoiding MPD. 41 Additionally, Cohen and Wills’s 42 social support buffer theory suggests that that social support maintains and promotes physical and mental health by regulating the adverse effects of individual stress and burnout on psychological behavior. A range of buffering effects of social support for mental health (eg, anxiety, depression and burnout) and problem behavioral outcomes (eg, suicidal thoughts and MPD) have been demonstrated.…”

Section: Introductionmentioning

confidence: 99%

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Impact of Learning Burnout on Mobile Phone Dependence Among Adolescents in Western China Under the “Double Reduction” Policy: The Mediating Role of Social Support

Wu,

Luo,

Ren

et al. 2023

PRBM

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Purpose This paper investigated the prevalence of mobile phone dependence (MPD) and its associated with learning burnout under the “double reduction” policy among adolescents in Guizhou Province in western China. In addition, the influence of the mediating mechanism of social support on this relationship was investigated. Methods The sample was collected from 16,216 adolescents in West China’s Guizhou province, from December 2021 to January 2022 via multistage stratified random sampling. The Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU) was used to assess the MPD, the Adolescent Student Burnout Scale (ASBI) was used to assess the learning burnout, and the Social Support Scale (SSS) was used to assess the social support. A hierarchical linear regression model was used to analyze the relationship between MPD, learning burnout, and social support. The mediating effect of social support between MPD and learning burnout was analyzed by structural equation model. Results Prevalence of MPD was 26.4% among adolescents in Guizhou province in western China. After adjusting for confounding variables like demographics, multiple linear regression model has revealed that learning burnout positively predicted MPD and social support negatively predicted MPD. The structural equation model showed that 10.9% of the effect was explained by the mediating effect of social support. Conclusion These findings could inform service delivery and policy formulation to reduce learning and avoid MPD in adolescents.

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“…Sexual health is influenced by many factors such as sexual behavior, attitudes, societal factors, mental, emotional and physical state [20]. Among respondents who are addicted to social media or Internet, a higher prevalence of depressive symptoms was revealed [21]. The literature review conducted by Holland et al shows increased body dissatisfaction and increased prevalence of eating disorders correlated with time spent online.…”

Section: Discussionmentioning

confidence: 99%

Impact of Internet Addiction, Social Media Use and Online Pornography on the Male Sexual Function in Times of the COVID-19 Pandemic

Pawlikowska-Gorzelańczyk,

Fichte,

Rozmus

et al. 2023

JCM

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Over recent decades, the use of the Internet has dramatically increased, both for professional purposes and entertainment. We investigated the link between social media use, video games, dating apps, and pornography on men’s sexual health, which makes life easier, but also carries potential threats. Online surveys including The International Index of Erectile Function (IIEF) and Bergen Social Media Addiction Scale questionnaires were spread to young, sexually active men. We asked about demographics, sexual activity, and the use of social media, video games, dating apps, and pornography. We enrolled 702 men aged 18 to 60 years (mean 24.06 ± 5.70). In general, 1.6% of men were exposed to social media addiction. Social media addiction had a negative impact on IIEF scores, while pornography in general had no impact on men’s sexual health. However, more extensive use of pornography was correlated with lower IIEF scores. A negative impact of dating apps use on the IIEF score was also found but the correlation was weak (p = 0.049). No correlation was found between playing games and IIEF. We conclude that social media addiction negatively affected men’s sexual functioning during the COVID-19 pandemic. The development of strategies for the safe use of the Internet and dissemination of this knowledge through social media campaigns can help young people to recognize the first symptoms of social media addiction.

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Correlations between Problematic Mobile Phone Use and Depressiveness and Daytime Sleepiness, as Well as Perceived Social Support in Adolescents

Cited by 8 publications

References 61 publications

Social Support and Daytime Sleepiness Among Chinese Medical Students: Mediating Roles of Loneliness and Problematic Smartphone Use

Social Support and Daytime Sleepiness Among Chinese Medical Students: Mediating Roles of Loneliness and Problematic Smartphone Use

Impact of Learning Burnout on Mobile Phone Dependence Among Adolescents in Western China Under the “Double Reduction” Policy: The Mediating Role of Social Support

Impact of Internet Addiction, Social Media Use and Online Pornography on the Male Sexual Function in Times of the COVID-19 Pandemic

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