The Smartphone Addiction Scale: Psychometric Properties, Invariance, Network Perspective, and Latent Profile Analysis Among a Sample of Chinese University Students

Acculturative stress, loneliness, smartphone addiction, L2 emotions, and creativity among international students in China: a structural equation model

Introduction

International students in China often face psychological challenges such as acculturative stress, loneliness, and problematic smartphone use, which may affect their second language (L2) learning emotions and creativity. Although these factors have been studied individually, their interrelationships remain unclear.

Methods

Data were collected from 213 international students studying in China using validated instruments: the Acculturative Stress Scale for International Students (ASSIS), UCLA Loneliness Scale, Smartphone Addiction Scale Short Version (SAS-SV), Foreign Language Enjoyment and Classroom Anxiety Scale (FLE & FLCA), and the Inventory of Creative Activities and Achievements (ICAA). Structural equation modeling (SEM) was employed to assess the hypothesized model and test both direct and indirect relationships among the constructs.

Results

Acculturative stress significantly predicted smartphone addiction directly (β = 0.372, p < .001) and indirectly via loneliness (β = 0.169, p < .005). It also influenced FLCA through a chain mediation of loneliness and smartphone addiction (β = 0.135, p < .005). In terms of creativity, both acculturative stress (β = 0.300, p < .001) and FLE (β = 0.310, p < .001) positively predicted creative activities, which in turn strongly predicted creative achievement (β = 0.700, p < .001). FLCA was also positively related to creative achievement (β = 0.118, p = .016).

Discussion

These findings support the Dual Pathway to Creativity Model and suggest that long-term moods (e.g., acculturative stress) and situational emotions (e.g., FLE and FLCA) may differentially affect creativity, aligning with the Hierarchical Model of Affect, Mood, and Emotion, advancing the understanding of international students' cross-cultural adaptation in the digital age.

Mapping research on ICT addiction: a comprehensive review of Internet, smartphone, social media, and gaming addictions

Introduction

The use of information and communication technologies such as the Internet, smartphones, social media, and gaming has gained significant popularity in recent years. While the benefits are immense and ICTs have become essential in people's daily lives, the inappropriate use of these technologies has led to addiction, causing negative consequences in family, academic, and work environments.

Methods

This study analyzes existing research related to ICT addiction (Internet, smartphone, social media, and gaming), reviewing relevant contributions. Historical trends, regions, relevance, factors, and instruments were analyzed to map out the existing research on ICT addiction.

Results and discussion

The findings revealed that although the number of relevant studies has grown in recent years, there is still a lack of attention on ICT addiction and its relationship with psychological factors, social factors, physical factors, phenomenological experiences, and treatment/prevention approaches. In this regard, psychology scholars should consider appropriate methods to raise awareness about ICT addiction and emphasize the need for an in-depth understanding of the meaning, context, and practices associated with Internet, smartphone, social media, and gaming addiction.

The relationship between autistic traits and problematic smartphone use in adolescents: The serial mediating role of anxiety and executive dysfunction

BACKGROUND

Based on the Interaction of Person-Affect-Cognition-Execution (I-PACE) model, this study aimed to explore the relationship between autistic traits and problematic smartphone use (PSU) among Chinese adolescents and to examine the serial mediation effect of anxiety and executive dysfunction in the association between autistic traits and PSU.

METHODS

The Autism-Spectrum Quotient, Smartphone Addiction Scale, the trait version of the State-Trait Anxiety Inventory, and Dysexecutive Questionnaire were administered to a sample comprising 412 senior high school students (average age = 17.05 years, SD = 0.65). Structural equation models were utilized to explore the simple and serial mediating role of anxiety and executive dysfunction played in the association between autistic traits and PSU.

RESULTS

This study found that social rather than non-social autistic traits were positively associated with anxiety, executive dysfunction, and PSU. Furthermore, after controlling for gender, anxiety and executive dysfunction acted as sequential mediators in the connection between social autistic trait and PSU. However, non-social autistic trait did not predict anxiety, executive dysfunction, or PSU.

CONCLUSION

This study supports the I-PACE model and deepens understanding of PSU formation. Furthermore, the findings underscore the importance of addressing social challenges faced by adolescents with high autistic traits, providing a viable potential intervention pathway to promote healthy smartphone use in this population.