The relationships between negative emotions and latent classes of smartphone addiction

Yue, Heng; Zhang, Xuemin; Sun, Junfang; Liu, Min; Li, Cuiyun; Bao, Hugejiletu

doi:10.1371/journal.pone.0248555

Cited by 40 publications

(32 citation statements)

References 62 publications

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“…Although it is complicated to determine the directionality of the relationship between smartphone abuse and mental health problems, it can indeed be affirmed that adolescents who displays excessive use of their smartphone often do so as a strategy to cope with negative emotions ( Sun et al, 2019 ), for example boredom, social anxiety and depression ( Yue et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Smartphone Abuse Amongst Adolescents: The Role of Impulsivity and Sensation Seeking

et al. 2021

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Adolescence is the stage of development where the reward and emotional regulation systems are yet to be adjusted and where most excessive behaviors start, like smartphone abuse. In addition, in this evolutionary period adolescents are more susceptible to behavioral changes through specific interventions or educational programs. Thus, it is fundamental to analyze the personality profile of those adolescents showing excessive mobile phone usage to properly approach later prevention strategies. Impulsivity is one of the most repeated variables associated with teenage addictions, although it has been observed that not all impulsive behaviors need to be detrimental. The aim of this study is to analyze how impulsivity affects smartphone addiction directly, but also indirectly, by assessing its association with sensation seeking variables (thrill and adventure seeking, experience seeking, disinhibition, and boredom susceptibility) which are in turn decisive when using these technologies improperly. The sample was made up of 614 adolescents aged 13–18 attending secondary education from Burgos, Spain. Dickman Impulsivity Inventory, Sensation Seeking Scale, and Ad-hoc questionnaire on adolescent self-perception as to smartphone use were applied. Results show that 41.4% of participants admit to abusing smartphones sometimes, while 18.3% admit to abusing them more frequently and 24% to, at least ever, having defined themselves as smartphone addicts. Stepwise regression analysis revealed that gender (female), dysfunctional impulsivity and sensation seeking (disinhibition and thrill and adventure seeking) evidence 15.7% of variance in smartphone abuse. In addition, sensation seeking (thrill and adventure seeking, disinhibition, and boredom susceptibility) were found to mediate the relationship between dysfunctional impulsivity and smartphone abuse. Therefore, dysfunctional impulsivity was directly connected with teenage smartphone abuse, but also had an indirect stronger association through thrill and adventure seeking, disinhibition and boredom susceptibility.

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Section: Introductionmentioning

confidence: 99%

Smartphone Abuse Amongst Adolescents: The Role of Impulsivity and Sensation Seeking

et al. 2021

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“…A small body of research has attempted to identify typologies of PSU using a LCA [22,23]. Different studies have varied in the number of subgroups that they report, describing anywhere from three to six separate subgroups.…”

Section: Introductionmentioning

confidence: 99%

Distinct Patterns of Problematic Smartphone Use: A Latent Profile Analysis Among Chinese College Students

Hong

Lai

et al. 2022

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Background: This study aimed to categorize different subgroups of problematic smartphone use among Chinese college students. Differences in gender and psychosocial characteristics of the categorized groups were also examined.Methods: A total of 1,123 participants completed the Mobile Phone Addiction Index Scale (MPAI), the Center for Epidemiologic Studies Depression Scale (CES-D), the Perceived Social Support Scale, and the Perceived Stress Scale. Using latent profile analysis (LPA), we identified different subgroups of problematic smartphone use among college students. Multivariate logistic regression analysis was implemented to examine the relationship between latent classes and demographic, psychosocial covariates.Results: Four latent classes were identified: a low-risk group, a moderate-risk with no evasiveness group, a moderate-risk with evasiveness group, and high-risk group that accounted for 11.0%, 24.1%, 35.5%, and 29.4% of the total sample, respectively. Further analysis revealed that compared with the “low-risk” class, the other three classes differed significantly with respect to gender and prevalence of depression.Conclusions: Classifying college students based on features of problematic smartphone use is potentially useful for understanding risk factors and developing targeted prevention and intervention programs.

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“…A review of the literature showed that only one study on smartphone addiction among freshmen medical students, nepal newly admitted undergraduate medical students smartphone addiction was 36.8% [13] . In a previous publication, some signi cantly factors in uencing of the smartphone addiction which include gender [12] , age [14] , monthly income from the family [10] , negative emotions [15] , high impulsivity and narcissism [16] . When starting the present study, few studies have focused on the relationship between smartphone addiction, mental health and professional identity among freshman medical students; this is the focus of the current study.…”

Section: Introductionmentioning

confidence: 99%

Smartphone Addiction and its Associated Factors Among Freshmen Medical Students in China: A Cross-Sectional Study

Liu

Zhang

Zhou

et al. 2021

Preprint

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Background With the widespread smartphone use worldwide, this has brought about addiction and smartphone addiction recognized as an emerging epidemic. The study aims to investigate the prevalence of smartphone addiction among freshmen medical students and explore its association with personal factors, mental health and professional identity.Methods This cross-sectional study was conducted in October 10th to November 10th, 2020 and included 2182 first-year college students at Wannan Medical College, China.The Smartphone Addiction Test, Professional identity, 12-item General Health Questionnaire were used in this cross-sectional survey. Pearson correlation analysis was performed to examine the correlations between smartphone addiction with mental health and professional identity. Binary logistic regression analysis was conducted to assess examine the factors influencing smartphone addiction.Results Of the 2182 students, 866(39.7%) were identified as smartphone addiction. The logistic regression analysis shows that four factors (professional identity scale,poor mental health,whether or not smartphone use before sleep, and perceived study pressure) had a significantly associated with smartphone addiction.Conclusions This cross-sectional study showed that smartphone addiction was common among the chinese freshmen medical students. smartphone addiction was common among the freshmen medical students surveyed.The findings suggest that the promotion program aimed at enhancing the mental health and professional identity among freshmen medical students are beneficial to reducing their smartphone addiction.

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The relationships between negative emotions and latent classes of smartphone addiction

Cited by 40 publications

References 62 publications

Smartphone Abuse Amongst Adolescents: The Role of Impulsivity and Sensation Seeking

Smartphone Abuse Amongst Adolescents: The Role of Impulsivity and Sensation Seeking

Distinct Patterns of Problematic Smartphone Use: A Latent Profile Analysis Among Chinese College Students

Smartphone Addiction and its Associated Factors Among Freshmen Medical Students in China: A Cross-Sectional Study

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