The Predictive Role of Tolerance and Health Problems in Problem Gambling: A Cross-Sectional and Cross-Lagged Network Analyses

How much online pornography is too much? A comparison of two theoretically distinct assessment scales

BACKGROUND

Online pornography use, an ever more common activity, has raised myriad psychosocial and clinical concerns. While there is a need to screen for and measure its problematic dimension, there is a debate about the adequacy of existing assessment tools.

OBJECTIVE

The study compares two instruments for measuring pathological online pornography use (POPU) that are based on different theoretical frameworks-one in line with DSM-5 criteria and the six-component addiction model and one in line with ICD-11 criteria.

METHODS

An international sample of 1,823 adults (Mean age = 31.66, SD = 6.74) answered an online questionnaire that included the Short Version of the Problematic Pornography Consumption Scale (PPCS-6) and the Assessment of Criteria for Specific Internet-Use Disorders (ACSID-11). Factorial, correlational, and network analyses were conducted on the data.

RESULTS

Both tools adequately screened for online "addictive" behavior, but the ACSID-11 was superior in assessing the degree of clinical risk.

CONCLUSION

Depending on the specific aim of the assessment (screening vs. clinical diagnostics), both online pornography measurement tools may be useful.

Changes in some health and lifestyle behaviours are significantly associated with changes in gambling behaviours: Findings from a longitudinal New Zealand population study

Although a large number of studies have investigated associations between risky gambling behaviours and health, lifestyle and social factors, research has not focused on changes in these factors and associations with changes in gambling risk level. This study utilised existing data from the four waves of the longitudinal New Zealand National Gambling Study to examine associations between changes in substance use, mental and physical health, and quality of life and deprivation with changes in gambling risk level over time. A Markov chain transition model was used to perform these analyses using data from participants who had completed all four waves (11,080 data transitions). Although changes in various covariates were associated with changes in all gambling risk levels, the highest number of significant factors was for transitioning into risky gambling from non-problematic gambling, including development, or continuation, of several negative health and lifestyle factors that may possibly be alleviated by transitioning out of risky gambling. These findings highlight the importance of screening for gambling behaviours when assisting people with substance use, health issues, or social situations or conditions in order to provide appropriate and effective social, health and treatment supports for people whose gambling behaviour increases over time.

Longitudinal relationship between oppositional defiant disorder symptoms and attention-deficit/hyperactivity disorder symptoms in Chinese children: insights from cross-lagged panel network analyses

Oppositional defiant disorder (ODD) and attention-deficit/hyperactivity disorder (ADHD) are two of the most common childhood mental disorders, and they have substantial comorbidity. The developmental precursor model has long been widely used to explain the mechanisms of comorbidity between ODD and ADHD, however whether it is equally effective at the symptomatic level is unclear. Therefore, this study aimed to (a) examine the stability of the ODD and ADHD comorbidity network in a longitudinal sample of high-risk children in China; and (b) examine the longitudinal relationship between the ODD and ADHD symptom networks based on a developmental precursor model. Two hundred sixty-three Chinese children aged 6 to 13 years with ODD and/or ADHD were assessed for symptoms of ODD and ADHD in two surveys conducted 1 year apart. We used data from these two time points to construct two cross-sectional networks and a cross-lagged panel network (CLPN) to explore the symptom network for comorbidity of ODD and ADHD. The analysis shows that: (1) the two cross-sectional networks are highly similar in terms of structure, existence of edges, centrality estimates, and the invariance test shows that there is no significant difference between them. The symptoms "follow through", "interrupts/intrudes", "difficulty playing quietly" and "concentration" had the highest expected influence centrality at both time points. (2) Combined with the results of the cross-sectional and cross-lagged networks, we found that "annoy" and "blame" are potential bridge symptoms between the ODD and ADHD symptom networks. The symptom "annoy" forms a reciprocal predictive relationship with "interrupts/intrudes", while "blame" unidirectionally predicts "close attention". In addition, we found that "vindictive" predicted numerous ADHD symptoms, whereas "angry" was predicted by numerous ADHD symptoms. The findings emphasize the broad predictive relationship between ODD and ADHD symptoms with each other, and that ODD symptoms may lead to activation of the ADHD symptom network and vice versa. These findings suggest that the developmental precursor model at the symptom level may partially explain the comorbidity mechanisms of ODD and ADHD, and future studies should further investigate the underlying multiple mechanisms.

The unique role of smartphone addiction and related factors among university students: a model based on cross-sectional and cross-lagged network analyses

Smartphone addiction is a global problem affecting university students. Previous studies have explored smartphone addiction and related factors using latent variables. In contrast, this study examines the role of smartphone addiction and related factors among university students using a cross-sectional and cross-lagged panel network analysis model at the level of manifest variables. A questionnaire method was used to investigate smartphone addiction and related factors twice with nearly six-month intervals among 1564 first-year university students (M = 19.14, SD = 0.66). The study found that procrastination behavior, academic burnout, self-control, fear of missing out, social anxiety, and self-esteem directly influenced smartphone addiction. Additionally, smartphone addiction predicted the level of self-control, academic burnout, social anxiety, and perceived social support among university students. Self-control exhibited the strongest predictive relationship with smartphone addiction. Overall, self-control, self-esteem, perceived social support, and academic burnout were identified as key factors influencing smartphone addiction among university students. Developing prevention and intervention programs that target these core influencing factors would be more cost-effective.

Longitudinal joint trajectories of gambling disorder and hypomentalization: A latent class growth analysis among young adults

INTRODUCTION

Only a few studies have investigated the relationship between risk for gambling disorder (GD) and mentalization difficulties. However, these results on positive correlations were all from cross-sectional studies; therefore, it would be important to investigate the longitudinal relationship between the constructs.

AIMS

It was aimed to identify subgroups of gamblers with different joint growth trajectories of risk for GD and hypomentalization (i.e., uncertainty of understanding own and others' mental states) and to compare the identified latent classes along impulsivity, sensation seeking and depression.

METHODS

Data from waves 1-3 of the Budapest Longitudinal Study were used. The final sample included 219 young adult gamblers who completed the study questionnaire and reported past-year gambling in all three waves (Females: N = 93 [42.29%]; Mean age: 28.36 years [SD = 4.29]). Standardized questionnaires were administered to measure the main constructs.

RESULTS

A four-class model was retained based on latent class growth analysis. Class 1 had consistently moderately high risk for GD and hypomentalization, and Class 4 presented consistently low risk for GD and hypomentalization. Classes 2-3 were characterized by low risk for GD and increasing hypomentalization. Class 1 had significantly higher sensation seeking and depression compared with the other subgroups in multiple cases. Class 4 showed significantly lower impulsivity and sensation seeking than the other classes.

CONCLUSIONS

Elevated hypomentalization was presented among individuals with risk for GD. However, there is little empirical evidence to support that the two constructs have convergently changing trajectories. A cautious interpretation of the results is recommended due to low symptom presence.

Gambling Disorder among Porto's University Students

BACKGROUND

Gambling disorder is an emerging problem among young adults and must be researched to provide the necessary support. This study aims to characterise gambling disorders in Porto's university students.

METHODS

A cross-sectional study distributed an online questionnaire to Porto's university students. The authors developed a self-administered questionnaire that included the South Oaks Gambling Screen questionnaire-Portuguese Version (SOGS-PV).

RESULTS

A total of 1123 responses were included. The participants' average age was 22.4 years (SD = 6.2), and 60.9% were women. Gambling activities were performed by 66.4% of the students, most commonly online or video games, "scratch card" games, skill games, lotteries, and sports bets. The final scores of the SOGS-PV suggested 19.7% (95% CI: 17.4-22.0) of students may have a gambling disorder, with 16.6% (95% CI: 14.4-18.8) being "probable pathological gamblers" and 3.1% (95% CI: 2.1-4.1) being "problem gamblers". Gambling in the stocks/commodities market/virtual coins, sports bets, playing cards for money, and the numbers or betting on lotteries presents a higher risk of gambling disorder. The age (OR: 0.953; 95% CI: 0.922-0.986), being male (OR: 2.756; 95% CI: 1.899-4.000), the highest daily gambling amount (OR: 3.938; 95% CI: 2.580-6.012), the effects of the COVID-19 pandemic (OR: 0.129; 95% CI: 0.087-0.191), a mother with gambling disorder (OR: 5.284; 95% CI: 1.038-26.902), the personal services education area (OR: 2.858; 95% CI: 1.179-6.929), and the linguistics education area (OR: 2.984; 95% CI: 1.538-5.788) stand out as contributing factors to the development of this disorder.

CONCLUSIONS

This study reveals a high level of possible gambling disorder among university students and emphasises the importance of this problem in the academic community. Physician awareness and prevention programmes are needed in this population.