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Journal ArticleDOI

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

TL;DR: Wang et al. as discussed by the authors examined the association between personality traits and smartphone addiction and its effects on sleep disturbance and found 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.
Abstract: 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.
Citations
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Journal ArticleDOI
TL;DR: In this article, a systematic review of the impact of smartphone addiction on health outcomes was carried out and the authors found that there are consistent associations between smartphone addiction and physical and mental health, especially mental health.
Abstract: Background: Smartphones play a critical role in increasing human–machine interactions, with many advantages. However, the growing popularity of smartphone use has led to smartphone overuse and addiction. This review aims to systematically investigate the impact of smartphone addiction on health outcomes. Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were used to carry out the systematic review. Five electronic databases including Medline, Web of Science, PsycINFO, PubMed, and Scopus were searched to identify eligible studies. Eligible studies were screened against predetermined inclusion criteria and data were extracted according to the review questions. This review is registered in PROSPERO (CRD42020181404). The quality of the articles was assessed using the National Institutes of Health (NIH) Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. Results: A total of 27 of 2550 articles met the inclusion criteria. All of the studies were cross-sectional and focused on physical, mental, and neurological health outcomes. The majority of the studies focused on mental health outcomes and consistent associations were observed between smartphone addiction and several mental health outcomes. Anxiety and depression were commonly found to mediate mental health problems. A wide range of physical health sequelae was also associated with smartphone addiction. Furthermore, there was an association between smartphone addiction and neurological disorders. Conclusions: Our findings suggest that there are consistent associations between smartphone addiction and physical and mental health, especially mental health. Social awareness campaigns about smartphone addiction and its impact on physical and mental health are needed. Further studies, especially randomized controlled trials, are warranted to validate the impacts of smartphone addiction.

37 citations

Journal ArticleDOI
TL;DR: Problematic smartphone use appears to impact social functioning longitudinally among individuals with schizophrenia via poor sleep and self-stigma concerns, and interventions aimed at reducing problematic smartphone use, improving sleep, and addressing self-Stigma may help improve social functioning.
Abstract: Abstract Background and aims Individuals with schizophrenia may often experience poor sleep, self-stigma, impaired social functions, and problematic smartphone use. However, the temporal relationships between these factors have not been investigated. The present study used a longitudinal design to examine potential mediating roles of poor sleep and self-stigma in associations between problematic smartphone use and impaired social functions among individuals with schizophrenia. Methods From April 2019 to August 2021, 193 individuals with schizophrenia (mean [SD] age = 41.34 [9.01] years; 88 [45.6%] males) were recruited and asked to complete three psychometric scales: the Smartphone Application-Based Addiction Scale to assess problematic smartphone use; the Pittsburgh Sleep Quality Index to assess sleep quality; and the Self-Stigma Scale-Short Scale to assess self-stigma. Social functioning was evaluated by a psychiatrist using the Personal and Social Performance Scale. All measures were assessed five times (one baseline and four follow-ups) at three-month intervals between assessments. Results General estimating equations found that problematic smartphone use (coefficient = −0.096, SE = 0.021; P < 0.001), sleep quality (coefficient = −0.134, SE = 0.038; P < 0.001), and self-stigma (coefficient = −0.612, SE = 0.192; P = 0.001) were significant statistical predictors for social functioning. Moreover, sleep quality and self-stigma mediated associations between problematic smartphone use and social functioning. Conclusion Problematic smartphone use appears to impact social functioning longitudinally among individuals with schizophrenia via poor sleep and self-stigma concerns. Interventions aimed at reducing problematic smartphone use, improving sleep, and addressing self-stigma may help improve social functioning among individuals with schizophrenia.

14 citations

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors investigated the relationship between real-life social support and Internet addiction among older adults during the COVID-19 pandemic and found that social support could mitigate Internet addiction by increasing the levels of hopefulness and decreasing the feeling of loneliness.
Abstract: Internet addiction among the elderly is a novel issue in many countries. However, extant research about excessive use of the Internet is focusing on adolescents and younger adults. There are few studies to explore the topic of the elderly's Internet addiction. The purpose of this study is to investigate the relationship between real-life social support and Internet addiction among older adults during the COVID-19 pandemic. This article adopted a self-reported questionnaire via internet links to collect data. A total of 303 valid samples about Internet addiction for the elderly were obtained in China. The results suggested that real-life social support is significantly and negatively related to Internet addiction among the aged. Moreover, the findings revealed that real-life social support could mitigate Internet addiction by increasing the levels of hopefulness and decreasing the feeling of loneliness. We expect that this study can enrich the understanding of the problematic Internet usage within older populations. Finally, the contributions, practical significance, and limitations of this study were discussed.

7 citations

Journal ArticleDOI
TL;DR: In this paper , a meta-analysis was conducted by searching Pubmed, Embase, Scopus, and Web of science using a retrieval strategy related to mobile phone addiction and sleep disorder.

7 citations

Journal ArticleDOI
TL;DR: In this paper , the structural relationships between the dimensions of impulsivity and components of SMA and problematic smartphone use were investigated using network analysis, and the critical bridge node was identified.
Abstract: Background Prior studies have revealed the relationships between impulsivity and social media addiction (SMA) and between impulsivity and problematic smartphone use (PSU) based on total scores on standardized self-report scales. However, there has been a lack of studies exploring how the dimensions of impulsivity and components of SMA or PSU are interrelated. The present study aimed to investigate the structural relationships between the dimensions of impulsivity and components of SMA and PSU and determine the critical bridge node using network analysis. Methods A total of 325 healthy adults aged 18–36 years participated in the study. SMA and PSU were assessed using the Bergen Social Media Addiction Scale (BSMAS) and Smartphone Application-Based Addiction Scale (SABAS), respectively. Impulsivity was measured by the Barratt Impulsiveness Scale Version 11 (BIS-11). Network analysis was used to construct an SMA-Impulsivity network and a PSU-Impulsivity network. Bridge centrality (bridge expected influence, BEI) was estimated to identify influential bridge nodes. Results In addition to relationships within each community, network analysis revealed that the dimensions of impulsivity were closely associated with the components of SMA and PSU. Particularly, I2 “motor impulsivity” had a relatively strong connection with SMA3 “mood modification” and SMA4 “relapse” in the SMA-Impulsivity network, and with PSU2 “conflict” and PSU5 “withdrawal” in the PSU-Impulsivity network. Moreover, I2 “motor impulsivity” was identified as the most critical bridge node in both networks. Conclusion These findings demonstrate potential pathways between different dimensions of impulsivity and the components of SMA and PSU, providing new evidence relevant to understanding the underlying mechanisms that account for how highly impulsive individuals develop SMA and PSU, and highlight the critical bridge node—motor impulsivity—that may be a promising and effective target for the prevention and treatment of SMA and PSU.

5 citations

References
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Journal ArticleDOI
TL;DR: Un nouvel inventaire auto-administre destine a mesurer l'anxiete pathologique, le «Beck Anxiety Cheklist» (BAI) est decrit, evalue et compare au «Hamilton Anxiety Rating Scale» (test avec lequel des correlations moderees sont trouvees).
Abstract: Un nouvel inventaire auto-administre destine a mesurer l'anxiete pathologique, le «Beck Anxiety Cheklist» (BAI) est decrit, evalue et compare au «Hamilton Anxiety Rating Scale» (test avec lequel des correlations moderees sont trouvees)

11,139 citations

Journal ArticleDOI
TL;DR: The amended (revised) Beck Depression Inventory (BDI-IA) and theBeck Depression Inventory-II (BDi-II) were self-administered to 140 psychiatric outpatients with various psychiatric disorders.
Abstract: The amended (revised) Beck Depression Inventory (BDI-IA; Beck & Steer, 1993b) and the Beck Depression Inventory-II (BDI-II; Beck, Steer, & Brown, 1996) were self-administered to 140 psychiatric outpatients with various psychiatric disorders. The coefficient alphas of the BDI-IA and the BDI-II were, respectively, .89 and .91. The mean rating for Sadness on the BDI-IA was higher than it was on the BDI-II, but the mean ratings for Past Failure, Self-Dislike, Change in Sleeping Pattern, and Change in Appetite were higher on the BDI-II than they were on the BDI-IA. The mean BDI-II total score was approximately 2 points higher than it was for the BDI-IA, and the outpatients also endorsed approximately one more symptom on the BDI-II than they did on the BDI-IA. The correlations of BDI-IA and BDI-II total scores with sex, ethnicity, age, the diagnosis of a mood disorder, and the Beck Anxiety Inventory (Beck & Steer, 1993a) were within 1 point of each other for the same variables.

5,087 citations

Journal ArticleDOI
TL;DR: In this article, a method for clinical description and classification of both normal and abnormal personality variants is proposed based on a general biosocial theory of personality, and three dimensions of personality are defined in terms of the basic stimulus-response characteristics of novelty seeking, harm avoidance and reward dependence.
Abstract: • A systematic method for clinical description and classification of both normal and abnormal personality variants is proposed based on a general biosocial theory of personality. Three dimensions of personality are defined in terms of the basic stimulus-response characteristics of novelty seeking, harm avoidance, and reward dependence. The possible underlying genetic and neuroanatomical bases of observed variation in these dimensions are reviewed and considered in relation to adaptive responses to environmental challenge. The functional interaction of these dimensions leads to integrated patterns of differential response to novelty, punishment, and reward. The possible tridimensional combinations of extreme (high or low) variants on these basic stimulusresponse characteristics correspond closely to traditional descriptions of personality disorders. This reconciles dimensional and categorical approaches to personality description. It also implies that the underlying structure of normal adaptive traits is the same as that of maladaptive personality traits, except for schizotypal and paranoid disorders.

3,329 citations

Journal ArticleDOI
TL;DR: Studied internal consistencies of the 1961 and 1978 versions of the Beck Depression Inventory in two different samples of psychiatric patients and concluded that the internal consistency of both versions were comparable.
Abstract: Studied internal consistencies of the 1961 and 1978 versions of the Beck Depression Inventory in two different samples of psychiatric patients. The alpha coefficient for the 598 inpatients and outpatients who were administered the 1961 version was 0.88, and the alpha coefficient for the 248 outpatients who were self-administered the 1978 version was 0.86. The patterns of corrected item-total correlations were also similar, and it was concluded that the internal consistencies of both versions were comparable.

1,116 citations