Early maladaptive schemas and behavioural addictions: A systematic literature review.

As observed in other mental health difficulties, behavioural addiction is a complex construct with several potential predisposing factors, which include biological factors (e.g., genetic predispositions), psychological factors (e.g., personality traits), and social factors (e.g., family, and social history). One factor that may play a significant role in both developing and perpetuating behavioural addiction is the activation of early maladaptive schemas (EMSs). The aim of the present review was to synthesize the evidence concerning the relationship between behavioural addiction and EMSs. A comprehensive literature search using keywords and subject headings was performed with three electronic databases, resulting in 20 studies that met the inclusion criteria. In relation to specific behavioural addiction, the 20 studies examined: binge-eating/food addiction (n = 6), sexual addiction/compulsive sexual behaviours (n = 3), multiple addictive behaviours (n = 2), internet addiction (n = 2), smartphone addiction (n = 2), social networking/Facebook addiction (n = 2), exercise dependence (n = 1), gambling (n = 1), and videogame addiction (n = 1). The patterns of association between EMS and behavioural addiction were examined in both clinical and non-clinical population. The 'Disconnection and Rejection' domain was the most strongly related schema domain across all addictive behaviours, followed by 'Impaired Limits'. The present review suggests a positive relationship between schema activation and several addictive behaviours, including addictions to gambling, gaming, social media use sex, exercise, and food. The clinical implications of the findings are discussed, but further research is needed to inform treatment plans and interventions for those who struggle with behavioural addictions.

Dating App Use and Wellbeing: An Application-Based Pilot Study Employing Ecological Momentary Assessment and Objective Measures of Use.

Smartphones are part of individuals' daily lifestyles, as are smartphone applications such as dating apps. Previous evidence suggests that high engagement in dating applications can be detrimental to some users' wellbeing. However, much of the published research has relied on cross-sectional studies and self-report measures. Therefore, the present study aims to overcome the limitations of subjective measures in cross-sectional designs by investigating for the first time the relationship between dating app users' wellbeing (self-esteem, craving and mood) and objective measures of their use during a one-week period. To do this, the present study employed a newly developed application, DiaryMood and utilized ecological momentary assessment (EMA), as it measured subjects' mood, self-esteem and craving three times per day and the time spent using the dating apps per day during one week. A convenience sample of 22 online dating app users participated in the present study. Findings from a three-level multilevel analysis indicated that increased time spent on dating apps predicted craving among dating app users and that notifications led to an improved mood and higher self-esteem. The results are discussed in relation to previous online dating studies. In sum, the present study sets a precedent for the use of EMA within the scope of online dating research, which may promote further studies adopting this methodology.

Passive objective measures in the assessment of problematic smartphone use: A systematic review.

Research focussing on problematic smartphone use has predominantly employed psychometric tests which cannot capture the automatic processes and behaviours associated with problematic use. The present review aimed to identify passive objective measures that have been used or developed to assess problematic smartphone use. A systematic search was conducted using Web of Science, Scopus, PsychInfo and PubMed databases to identify passive objective measures that have been employed to assess problematic smartphone use, resulting in 18 studies meeting the inclusion criteria. Objective data that were monitored predominantly focussed on general screen usage time and checking patterns. Findings demonstrate that passive monitoring can enable smartphone usage patterns to be inferred within a relatively short timeframe and provide ecologically valid data on smartphone behaviour. Challenges and recommendations of employing passive objective measures in smartphone-based research are discussed.

Mobile gaming and problematic smartphone use: A comparative study between Belgium and Finland.

Background and aims Gaming applications have become one of the main entertainment features on smartphones, and this could be potentially problematic in terms of dangerous, prohibited, and dependent use among a minority of individuals. A cross-national study was conducted in Belgium and Finland. The aim was to examine the relationship between gaming on smartphones and self-perceived problematic smartphone use via an online survey to ascertain potential predictors. Methods The Short Version of the Problematic Mobile Phone Use Questionnaire (PMPUQ-SV) was administered to a sample comprising 899 participants (30% male; age range: 18-67 years). Results Good validity and adequate reliability were confirmed regarding the PMPUQ-SV, especially the dependence subscale, but low prevalence rates were reported in both countries using the scale. Regression analysis showed that downloading, using Facebook, and being stressed contributed to problematic smartphone use. Anxiety emerged as predictor for dependence. Mobile games were used by one-third of the respective populations, but their use did not predict problematic smartphone use. Very few cross-cultural differences were found in relation to gaming through smartphones. Conclusion Findings suggest mobile gaming does not appear to be problematic in Belgium and Finland.