The relationship between components of neuroticism and problematic smartphone use in adolescents: A network analysis

2022 ◽  
Vol 186 ◽  
pp. 111325
Author(s):  
Xinyi Wei ◽  
Huaibin Jiang ◽  
Hongxia Wang ◽  
Jingyu Geng ◽  
Ting Gao ◽  
...  
2021 ◽  
Vol 12 ◽  
Author(s):  
Chi Zhang ◽  
Ping Zeng ◽  
Joshua Tan ◽  
Siwei Sun ◽  
Minghao Zhao ◽  
...  

Background: The COVID-19 pandemic brought about great transformation to medical education mode. Although mobile communication devices played a crucial role in online learning among quarantined university students, the potential smartphone addition problems, negative health behaviors, and psychological symptoms need considerable attention. This study examined the relationship of problematic smartphone use (PSU), sleep quality, and daytime fatigue among medical students.Methods: A web-based survey was conducted in six polyclinic hospitals in Beijing between February and May 2020. 1016 participants (26.01 ± 2.46 years, 65.16% female) completed self-report measurements including Short Version Smartphone Addiction Scale (SAS-SV), Athens Insomnia Scale (AIS), and Subjective Fatigue Scale (FS). Spearman correlation coefficients and multiple regression models were used to analyze the association among PSU, sleep quality, and daytime fatigue. We used structural equation modeling to test the mediating effect of sleep quality between PSU and daytime fatigue.Results: 49.70% of the participants had PSU. Significant positive correlations were found among SAS-SV, AIS, and FS scores (r = 0.35–0.61, PS < 0.001). Subjects with PSU were more likely to report sleep disturbance (β = 1.07, P < 0.001, OR = 2.91, 95%CI = 2.17–3.91), physical fatigue (β = 1.16, P < 0.001, OR = 3.18, 95%CI = 2.45–4.15), and mental fatigue (β = 0.88, P < 0.001, OR = 2.42, 95%CI = 1.86–3.14). The indirect effect of PSU on physical fatigue and mental fatigue mediated by sleep quality accounted for 50.03 and 45.43% of the total effect, respectively.Conclusions: PSU was significantly associated with sleep disturbance and fatigue among medical students during the COVID-19 pandemic. Sleep quality mediated the relationship between PSU and daytime fatigue. Our results provide valuable information for maintaining medical students' health status and constructing online education structures.


2021 ◽  
pp. 0192513X2199388
Author(s):  
M. V. Jimeno ◽  
J. J. Ricarte ◽  
A. Toledano ◽  
S. Mangialavori ◽  
M. Cacioppo ◽  
...  

Overuse of the smartphone causes negative consequences on the health and behavior of younger people. It is necessary to know which factors can determine the problematic use of the smartphone. The aim of the present study was to explore the relationship between problematic smartphone use, attachment styles, and perceived family functioning in young adults. Three hundred and thirteen Spanish young adults took part in the study (255 women, 58 men) and completed the following instruments: the Smartphone Addiction Scale (SAS), the Relationship Questionnaire (RQ), the Parental Bonding Instrument (PBI), and the Family Adaptability and Cohesion Evaluation Scale (FACES IV). The results of the path analyses show that the cohesion and enmeshed functioning variables were the best predictors of problematic smartphone use. The preoccupied attachment scale was the only one whose score also showed indirect effects on problematic smartphone use through the variable of enmeshed family functioning.


2020 ◽  
Author(s):  
Sharon Horwood ◽  
Jeromy Anglim

Reliance on self-report to measure problematic smartphone use is a limitation of the extant literature. It is unclear whether self- and other-ratings of problematic smartphone use converge and whether correlations between personality and self-reported problematic smartphone use are distorted by common method bias. The current study provides the first comprehensive assessment of self-other agreement of problematic smartphone use and the relationship between personality and other-rated problematic smartphone use in a large sample of young adults. Focal participants (n = 1073) were Australian university students who completed measures of Big Five (IPIP) and HEXACO (HEXACO PI-R) personality, and problematic smartphone use. One or more people who knew the focal participant well (n = 2445) rated the focal participant's problematic smartphone use. People rated their own smartphone use as more problematic than did others. Self- and other-ratings of problematic smartphone use correlated 0.38. The pattern of self-other and other-other correlations indicated that self-ratings were more accurate than other-ratings. The pattern of high neuroticism and low conscientiousness predicting greater problematic smartphone use was observed for both self- and other-ratings. Findings suggest that self-report measures are reasonably valid, problematic smartphone usage is observable, and the relationship between personality and problematic smartphone use is robust.


2021 ◽  
Vol 9 (4) ◽  
pp. 1032-1043
Author(s):  
Shunsen Huang ◽  
Xiaoxiong Lai ◽  
Ye Xue ◽  
Cai Zhang ◽  
Yun Wang

AbstractBackground and aimsPrevious research has established risk factors for problematic smartphone use (PSU), but few studies to date have explored the structure of PSU symptoms. This study capitalizes on network analysis to identify the core symptoms of PSU in a large sample of students.MethodsThis research investigated 26,950 grade 4 students (male = 13,271) and 11,687 grade 8 students (male = 5,739) using the smartphone addiction proneness scale (SAPS). The collected data were analyzed using a network analysis method, which can provide centrality indexes to determine the core symptoms of PSU. The two networks from the different groups were compared using a permutation test.ResultsThe results indicated that the core symptoms of students' problematic smartphone use were the loss of control and continued excessive use across the two samples.Discussion and conclusionsThese findings suggest that loss of control is a key feature of problematic smartphone use. The results also provide some evidence relevant to previous research from the perspective of network analysis and some suggestions for future treatment or prevention of students' problematic smartphone use.


2018 ◽  
Vol 270 ◽  
pp. 97-103 ◽  
Author(s):  
Sümeyra Fırat ◽  
Hesna Gül ◽  
Mehmet Sertçelik ◽  
Ahmet Gül ◽  
Yusuf Gürel ◽  
...  

2021 ◽  
Vol 42 (5) ◽  
pp. 601-614
Author(s):  
Daeun Kim ◽  
Kyung Eun Jahng

Objectives: The prevalence of smartphone use among children raises concerns about the potential for problematic smartphone use. According to previous findings, it was reported that psychological factors affect children’s problematic smartphone use. However, cognitive factors affecting children’s problematic smartphone use have not been investigated enough. To find out how to mitigate and prevent their problematic smartphone use, the present study explores whether children’s negative automatic thoughts affect their problematic smartphone use. It also seeks to investigate the moderation effect of weekend family rituals on the relationship between children’s negative automatic thoughts and problematic smartphone use.Methods: The study participants included 274 fifth and sixth graders attending elementary schools in Seoul and Incheon, South Korea. Statistical analysis for the present study was conducted using SPSS 22.0 and PROCESS macro version 3.2.Results: The study found that children’s negative automatic thoughts are positively related to problematic smartphone use. In addition, children’s negative automatic thoughts are adversely related to weekend rituals, and weekends ritual are also negatively associated with children’s problematic smartphone use. Children’s negative automatic thoughts have an effect on their problematic smartphone use. It also found that weekend family rituals moderated the association between children’s negative automatic thoughts and their problematic smartphone use. That is, children who automatically perceive themselves negatively tend to be dependent on smartphones.Conclusion: Based on the results, this study suggests that it is necessary not only to design intervention programs for preventing children’s problematic smartphone use but also to support work and life balance so that families can create and maintain their weekend family rituals.


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