The Contextual Factors Associated with Co-occurring Substance and Problematic Internet Use in Adolescence: a Network Approach

Investigating the Links Between Food Addiction, Emotional Dysregulation, Impulsivity and Quality of Life in Brazilian and Canadian College Students: A Network Analysis

INTRODUCTION

Food addiction (FA) has been associated with emotional dysregulation, impulsivity and reduced quality of life, but its interrelationships remain underexplored. This cross-sectional descriptive study aimed to examine these connections using network analysis.

METHODS

Data were collected from 1777 university students in Brazil and Canada through an online survey. Participants were classified into three groups based on the modified Yale Food Addiction Scale 2.0 (mYFAS 2.0): No food addiction (NFA), mild food addiction (MFA) and moderate/severe food addiction (MSFA).

RESULTS

The MSFA group reported significantly higher levels of depression, anxiety, stress, impulsivity and emotional dysregulation, as well as lower quality of life compared to the other groups. Network analysis identified stress as the most influential variable in both samples, whereas impulsivity played a key role in connecting FA with emotional problems, particularly, in the MSFA group.

CONCLUSIONS

This study addresses this gap by identifying impulsivity as central to the co-occurrence of FA and emotional dysfunction, thereby offering insights for future research and interventions targeting FA.

Profile of Brazilian Undergraduates Who Use Electronic Cigarettes: a Cross-Sectional Study on Forbidden Use

The use of electronic cigarettes (e-cigarettes) persists in Brazil, despite restrictions on sales, imports, and advertising. This study aimed to identify the prevalence of e-cigarette use and user profiles among university students. This cross-sectional study used a convenience sample of 3083 university students (female = 2253, male = 830; M=26.1; SD =8.43) who completed an online survey. We employed logistic regression models and network analysis to determine the profile of e-cigarette users. The prevalence of e-cigarette use in the past year was 12.2% (n =377). Men, single individuals, Caucasians, secular individuals, and non-heterosexual individuals were more likely to engage in e-cigarette use. Intense use of alcohol, tobacco products, and illicit drugs increased the likelihood of e-cigarette use. Brazilian college students continue to use electronic cigarettes despite the prohibition. The pattern of alcohol abuse and tobacco product use among e-cigarette users is concerning. These risky behaviors render young and highly educated individuals targets for public policies to control and regulate electronic cigarettes in the country.

Escaping negative moods and concentration problems play bridge roles in the symptom network of problematic smartphone use and depression

Background

Problematic smartphone use (PSU) has become an issue of great concern in the age of smartphones. PSU is associated with emotional problems, one of which is depression, as shown by empirical studies. However, previous studies have been limited in that they have focused solely on the total score for symptoms of PSU and depression while ignoring the symptomatic heterogeneity of these two concepts.

Method

This study filled this gap by exploring links between symptoms of PSU and depression among 1,849 university students (59.17% female participants, 17-23 years old). Network analysis was utilized to reveal symptom connections, central symptoms, and bridge symptoms between PSU and depression.

Results

(1) A total of 17 of 81 symptom connections (about 21%) between PSU and depression existed in the symptom network. For example, "self-control failure" for PSU was positively correlated with "concentration problems" for depression; (2) "recklessly continuing" for PSU and "fatigue" for depression were central symptoms within the PSU symptom network and depression symptom network, respectively; (3) "escaping negative moods" for PSU and "concentration problems" for depression were bridge symptoms. The former was maximumly connected with the depression symptoms and the latter was maximumly connected with the PSU symptoms; and (4) gender had very minimal influence on the network characteristics.

Conclusion

The results are in keeping with the central idea of the compensatory internet use theory that excessive smartphone use may be a coping strategy for depressed emotions derived from escaping motivation. Moreover, concentration problems may be a mediator explaining how negative emotions (e.g., depression) cause PSU, which is undefined in current internet use theories. Finally, symptom connections, central symptoms, and bridge symptoms could be potential targets for the prevention and intervention of PSU and depression in young adults.