How smartphone use becomes problematic: Application of the ALT-SR model to study the predicting role of personality traits

Examining Self-Regulation and Problematic Smartphone Use in Canadian Adolescents: A Parallel Latent Growth Modeling Approach

Despite extensive research on the prevalence and mental health implications of problematic smartphone use in adolescents, the cognitive mechanisms underpinning its development, such as self-regulation, remain underexplored. This study aims to fill this research gap by investigating the developmental trajectories of self-regulation and problematic smartphone use among Canadian adolescents. Participants (N = 1303; 614 girls; Mage = 14.60 years, SD = 1.16 years) attended one of five public high schools in Southern British Columbia. Adolescents self-reported their self-regulation skills, as well as problematic smartphone use annually for three years. In line with developmental expectations, results indicated that both self-regulation and problematic smartphone use increased across the three years. Parallel latent growth models revealed significant intercept and positive slope differences for self-regulation and problematic smartphone use, showing that higher initial self-regulation predicted lower initial problematic smartphone use, and vice versa. Girls exhibited higher initial levels of problematic smartphone use, but gender differences in developmental trajectories were not observed. These findings emphasize the importance of early self-regulation skills in preventing the escalation of problematic smartphone use in adolescents, providing evidence-based insights for developing targeted interventions.

The relationship between personality and short video addiction among college students is mediated by depression and anxiety

Background

Short video addiction (SVA) among college students is influenced by personality traits, namely, neuroticism and agreeableness. However, the role of depression and anxiety as mediators remains unclear.

Objective

This study aims to explore the mediating role of comorbid depression and anxiety in the relationship between different dimensions of university students' personalities and SVA.

Methods

The SPSS PROCESS was utilized to analyze data from 804 university students across seven universities in China.

Results

The findings show that neuroticism, agreeableness, and extraversion in the personalities of Chinese university students are all significantly linked to SVA; neuroticism and agreeableness in the personalities of university students have a greater impact on SVA; both neuroticism and agreeableness can first induce depression and then lead to anxiety and SVA, whereas only agreeableness can first lead to anxiety and then result in depression and SVA.

Conclusion

This study uncovers the intricate relationship between personality traits and SVA among college students, emphasizing depression and anxiety as critical chain mediators in this relationship. It reveals that neuroticism and agreeableness significantly influence SVA through specific pathways involving depression and anxiety, indicating that interventions targeting these traits are essential.

Testing the validity of the smartphone pervasiveness scale for adolescents with self-reported objective smartphone use data

An ongoing and heated scientific debate pertains to the conceptualization and quantification of adolescents' problematic smartphone use (PSU). To address the limitations of existing surveys, the smartphone pervasiveness scale for adolescents (SPS-A) has been designed to measure the subjective frequency of smartphone usage during significant moments within daily routines. Given the weak correlations in prior literature between self-reported PSU metrics and objective use data, this study investigates the relationships between diverse self-reported objective metrics of smartphone engagement-that is duration, frequency, and count of notifications-and the SPS-A scale, employing a cohort of Swiss adolescents (N = 1396; Mage = 15.8, SDage = 0.81; 59% female). The findings reveal a substantial correlation between the total objectively measured duration of smartphone engagement and the SPS-A scale (r = .41 for iOS users and r = .42 for Android users). Moreover, a similar trend emerges as users are categorized by their level of objective use, with each category displaying a linear augmentation in smartphone pervasiveness levels. Instead, modest correlations emerge when considering the quantity of device unlocks and notifications. Noteworthy, no gender disparities emerged. These results add to our knowledge about the usefulness of the concept and measurement of smartphone pervasiveness: not only the SPS-A is a valid alternative to scales on "smartphone addiction" to capture non-pathological PSU, but it is also a better predictor of smartphone objective duration of use than self-reported measures. The correlation found between self-reported pervasiveness and actual use is discussed in light of the debate about the relevance of screen time in the study of PSU.

Smartphone use increases the likelihood of making short-sighted financial decisions

Contextualizing in the digitalization of personal finance (e.g., mobile banking), the present research explores how financial decisions made on smartphones (vs. laptops or tablets) are more likely to be shortsighted, manifesting in being unwilling to save for retirement, referring to recent information while making financial decisions, and opting for instant but smaller rewards. We trace the effect to smartphones’ affordance of ubiquity, an attribute that allows users to satisfy various needs with considerable flexibility of time and space and prompts users to seek instant gratifications. We also rule out potential alternative factors that might account for this effect, including haptic gratification, direct-touch effect, task difficulty, thinking style, concentration, and the hedonic usage of the devices by users. Furthermore, we demonstrate that prompting users to deliberate on their decisions successfully attenuates the effect. Implications for the development of interventions are discussed.

Trajectory of problematic smartphone use among adolescents aged 10-18 years: The roles of childhood family environment and concurrent parent-child relationships

BACKGROUND AND AIMS

Adolescence is a period of high incidence of problematic smartphone use. Understanding the developmental trajectory of problematic smartphone use in adolescence and its influencing factors could guide the choice of timing for prevention and intervention. This study fitted the growth trajectory of problematic smartphone use among adolescents and examined its associations with the childhood family environment and concurrent parent-child relationships.

METHODS

Using a cohort sequential design, we investigated 2,548 Chinese adolescents and their parents three times in three years. Multiple group multiple cohort growth models were used to fit the growth trajectory.

RESULTS

The quadratic growth trajectory of problematic smartphone use in adolescents aged 10-18 years showed a clear increasing trend, with a possible decreasing trend in late adolescence or early adulthood. Early life socioeconomic status, childhood family unpredictability, and the concurrent parent-child relationship had unique impacts on the development of problematic smartphone use during adolescence.

DISCUSSION AND CONCLUSIONS

Early adolescence is a favorable time for problematic smartphone use prevention and intervention. A supportive family environment should be maintained throughout the different developmental stages of children and adolescents.

The Association Between Temperament and Characteristics, Smartphone App Use Patterns and Academic Performance of University Students

BACKGROUND

Smartphone use patterns may predict daily life efficacy and performance improvements in sports. Additionally, personal characteristics may be associated with smartphone overuse.

METHODS

We investigated the correlation between the temperament and character inventory (TCI) and academic performance using smartphone log data. We hypothesized that the elite and general groups, divided based on academic performance, differed according to the TCI and downloadable smartphone apps (applications). Additionally, we hypothesized a correlation between smartphone app usage patterns and TCI. A total of 151 students provided smartphone log data of the previous four weeks. They also completed the TCI and provided academic records of the previous year.

RESULTS

The first and second most frequently used apps by both groups of students were social networking and entertainment, respectively. Elite students scored higher on novelty seeking, reward dependence, persistence, self-directedness, and self-transcendence than general students. In all participants, the usage time of serious apps was correlated with the scores for novelty seeking (r = 0.32, P < 0.007), reward dependence (r = 0.32, P < 0.007), and self-transcendence (r = 0.35, P < 0.006). In the elite group, the usage time of serious apps was correlated with the scores for novelty seeking (r = 0.45, P < 0.001), reward dependence (r = 0.39, P = 0.022), and self-transcendence (r = 0.35, P = 0.031). In the general group, the usage time of serious apps was correlated only with self-transcendence (r = 0.32, P < 0.007).

CONCLUSION

High usage time of serious apps can help sports majors to excel academically. Particularly among sports majors, serious apps are related to activity, the desire for rewards and recognition, and the tendency to transcend themselves.