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.

Assessment of the Popularity and Perceived Effectiveness of Smartphone Tools That Track and Limit Smartphone Use: Survey Study and Machine Learning Analysis.

BACKGROUND: Problematic smartphone use, like problematic internet use, is a condition for which treatment is being sought on the web. In the absence of established treatments, smartphone-provided tools that monitor or control smartphone use have become increasingly popular, and their dissemination has largely occurred without oversight from the mental health field. OBJECTIVE: We aimed to assess the popularity and perceived effectiveness of smartphone tools that track and limit smartphone use. We also aimed to explore how a set of variables related to mental health, smartphone use, and smartphone addiction may influence the use of these tools. METHODS: First, we conducted a web-based survey in a representative sample of 1989 US-based adults using the crowdsourcing platform Prolific. Second, we used machine learning and other statistical tools to identify latent user classes; the association between latent class membership and demographic variables; and any predictors of latent class membership from covariates such as daily average smartphone use, social problems from smartphone use, smartphone addiction, and other psychiatric conditions. RESULTS: Smartphone tools that monitor and control smartphone use were popular among participants, including parents targeting their children; for example, over two-thirds of the participants used sleep-related tools. Among those who tried a tool, the highest rate of perceived effectiveness was 33.1% (58/175). Participants who experienced problematic smartphone use were more likely to be younger and more likely to be female. Finally, 3 latent user classes were uncovered: nonusers, effective users, and ineffective users. Android operating system users were more likely to be nonusers, whereas younger adults and females were more likely to be effective users. The presence of psychiatric symptoms did not discourage smartphone tool use. CONCLUSIONS: If proven effective, tools that monitor and control smartphone use are likely to be broadly embraced. Our results portend well for the acceptability of mobile interventions in the treatment of smartphone-related psychopathologies and, potentially, non-smartphone-related psychopathologies. Better tools, targeted marketing, and inclusive design, as well as formal efficacy trials, are required to realize their potential.

Apathetic symptom presentations in patients with severe traumatic brain injury: Assessment, heterogeneity and relationships with psychosocial functioning and caregivers' burden.

OBJECTIVES: Apathy is frequently described following traumatic brain injury (TBI) and defined on the basis of three dimensions (emotional blunting, lack of initiative, lack of interest), which are commonly assessed by the Apathy Inventory (AI). The aims were (1) to explore the psychometric properties of this scale in the TBI population and the relationships between the dimensions; and (2) to determine whether sub-groups of patients differing with respect to the three AI dimensions could be identified and to examine their differences on psychosocial functioning and caregivers' burden. PARTICIPANTS AND MEASURES: Close relatives of 68 patients with severe TBI were given the AI and two questionnaires to assess their subjective burden and patients' changes in psychosocial functioning. RESULTS: The scores distribution and the sensitivity of each sub-scale showed that the AI can be used as a screening tool in the TBI population. Four clusters were identified: one group with high scores on each dimension, one group with low scores on each dimension, one group with high emotional blunting alone and another with elevated lack of initiative/interest. The high apathetic group and the lack of initiative/interest group were associated with poorer psychosocial functioning and the high apathetic group was related to subjective burden. CONCLUSIONS: These results shed new light on the concept of apathy in patients with TBI and underline the necessity to take into account the various profiles of symptoms of apathy.

Assessment of impulsivity after moderate to severe traumatic brain injury.

The aim of the study was to develop and validate a short questionnaire assessing four dimensions of impulsivity (urgency, lack of premeditation, lack of perseverance, sensation seeking) in patients with traumatic brain injury (TBI). To this end, 82 patients with TBI and their caregivers completed a short questionnaire adapted from the UPPS Impulsive Behavior Scale designed to assess impulsivity changes after TBI. Confirmatory factor analyses (CFAs) performed on the version of the scale completed by the relatives revealed that a hierarchical model holding that lack of premeditation and lack of perseverance are facets of a higher order construct (lack of conscientiousness), with urgency and sensation seeking as separate correlated factors, fit the data best. Urgency, lack of premeditation, and lack of perseverance increased after the TBI, whereas sensation seeking decreased. CFA failed to reveal a satisfactory model in the version of the scale completed by the patients. The psychological processes related to these impulsivity changes and the discrepancy observed between self-report and informant-report are discussed. This short questionnaire opens up interesting prospects for better comprehension and assessment of behavioural symptoms of TBI.