The association between problematic mobile phone use (PMPU) and negative emotions in university students is not well understood in terms of causality and directionality. This study aims to clarify whether negative emotions trigger PMPU or whether the PMPU itself leads to increased negative emotions over time.
A two-wave longitudinal study was conducted involving 5568 Chinese freshmen who were surveyed at baseline and followed up after one academic year. PMPU, social media use, online game use, fear of missing out, loneliness, social anxiety, and academic burnout were measured. Cross-sectional and longitudinal connections between these variables were examined using network analysis techniques.
The variable with the strongest influence in both contemporaneous networks was “Productivity loss” of MAPI. Moreover, “Academic burnout” at baseline significantly predicted higher levels of problematic smartphone use and negative emotions at follow-up, suggesting that it may serve as a catalyst for addictive tendencies. Furthermore, we observed bidirectional relationships between “Escapism” and “Social anxiety”, as well as between “Social anxiety” and “Inability to control craving”, suggesting a potential self-perpetuating cycle.
These findings highlight the role of academic burnout in initiating cycles of PMPU and negative emotions. In order to effectively tackle PMPU, it is crucial to consider the underlying drivers such as academic burnout and emotional states. This is important due to the complex and reciprocal associations uncovered through our longitudinal network analysis.
A core feature of body dysmorphic disorder (BDD) is body image disturbance. Many with BDD misperceive and are dissatisfied with the sizes and shapes of body parts, but detailed quantification and analysis of this has not yet been performed. To address this gap, we applied Somatomap 3D, a digital avatar tool, to quantify body image disturbances by assessing body size estimation (BSE) accuracy and body dissatisfaction.
Sixty-one adults (31 with BDD, 30 healthy controls) created avatars to reflect their perceived current body and ideal body by altering 23 body part sizes and lengths using Somatomap 3D. Physical measurements of corresponding body parts were recorded for comparison. BSE accuracy (current minus actual) and body dissatisfaction (ideal minus current) were compared between groups and in relation to BDD symptom severity using generalized estimating equations.
Individuals with BDD significantly over- and under-estimated certain body parts compared to healthy controls. Individuals with BDD overall desired significantly thinner body parts compared to healthy controls. Moreover, those with worse BSE accuracy had greater body dissatisfaction and poorer insight.
In sum, this digital avatar tool revealed disturbances in body image in individuals with BDD that may have perceptual and cognitive/affective components.
By providing a structured assessment of specific risk factors, risk assessment tools allow statements to be made about the likelihood of future recidivism in people who have committed a crime. These tools were originally developed for and primarily tested in men and are mainly based on the usual criminological background of men. Despite significant progress in the last decade, there is still a lack of empirical research on female offenders, especially female forensic psychiatric inpatients. To improve prognosis in female offenders, we performed a retrospective study to compare the predictive quality of the following risk assessment tools: PCL-R, LSI-R, HCR-20 v3, FAM, and VRAG-R.
Data were collected from the information available in the medical files of 525 female patients who had been discharged between 2001 and 2017. We examined the ability of the tools to predict general and violent recidivism by comparing the predictions with information from the Federal Central Criminal Register.
Overall, the prediction instruments had moderate to good predictive performance, and the study confirmed their general applicability to female forensic psychiatric patients.
The LSI-R proved to be particularly valid for general recidivism, and both, LSI-R and HCR-20 v3, for violent recidivism.