Quality of Life and Its Psychosocial Predictors among Patients with Disorders of Gut-Brain Interaction: A Comparison with Age- and Sex-Matched Controls.

The disorders of gut-brain interaction (DGBIs) are a heterogeneous group of chronic conditions that greatly reduce patients' quality of life (QoL). To date, biopsychosocial factors (such as gastrointestinal symptoms, alexithymia, and interpersonal problems) are believed to contribute to the development and maintenance of DGBIs, but their role in affecting patients' QoL is still under investigation. Out of 141 patients seeking treatment for their gastrointestinal symptoms, 71 were diagnosed with a DGBI (47 females, 66.2%; Mage: 41.49 ± 17.23 years) and were age- and sex-matched to 71 healthy controls (47 females, 66.2%; Mage: 40.45 ± 16.38 years) without any current gastrointestinal symptom or diagnosis. Participants completed a sociodemographic and clinical questionnaire and a survey investigating several psychosocial risk factors. We found greater symptom severity and difficulties in identifying feelings among patients compared to controls. Further, multiple linear regression analyses evidenced that, among patients, higher expressive suppression of emotions, difficulties in identifying feelings and interpersonal problems, and a lower cognitive reappraisal of emotions predicted lower QoL. Data suggest that the QoL of patients with DGBIs is affected not only by common risk factors (e.g., interpersonal problems) but also by specific difficulties in processing and regulating emotions. The implications of these findings are discussed.

The Use of Mobile Assessments for Monitoring Mental Health in Youth: Umbrella Review.

BACKGROUND: Improving mental health in youth is a major concern. Future approaches to monitor and intervene in youth mental health problems should rely on mobile tools that allow for the daily monitoring of mental health both actively (eg, using ecological momentary assessments [EMAs]) and passively (eg, digital phenotyping) by capturing individuals' data. OBJECTIVE: This umbrella review aims to (1) report the main characteristics of existing reviews on mental health and young people, including mobile approaches to mental health; (2) describe EMAs and trace data and the mental health conditions investigated; (3) report the main results; and (4) outline promises, limitations, and directions for future research. METHODS: A systematic literature search was carried out in 9 scientific databases (Communication & Mass Media Complete, Psychology and Behavioral Sciences Collection, PsycINFO, CINAHL, ERIC, MEDLINE, the ProQuest Sociology Database, Web of Science, and PubMed) on January 30, 2022, coupled with a hand search and updated in July 2022. We included (systematic) reviews of EMAs and trace data in the context of mental health, with a specific focus on young populations, including children, adolescents, and young adults. The quality of the included reviews was evaluated using the AMSTAR (Assessment of Multiple Systematic Reviews) checklist. RESULTS: After the screening process, 30 reviews (published between 2016 and 2022) were included in this umbrella review, of which 21 (70%) were systematic reviews and 9 (30%) were narrative reviews. The included systematic reviews focused on symptoms of depression (5/21, 24%); bipolar disorders, schizophrenia, or psychosis (6/21, 29%); general ill-being (5/21, 24%); cognitive abilities (2/21, 9.5%); well-being (1/21, 5%); personality (1/21, 5%); and suicidal thoughts (1/21, 5%). Of the 21 systematic reviews, 15 (71%) summarized studies that used mobile apps for tracing, 2 (10%) summarized studies that used them for intervention, and 4 (19%) summarized studies that used them for both intervention and tracing. Mobile tools used in the systematic reviews were smartphones only (8/21, 38%), smartphones and wearable devices (6/21, 29%), and smartphones with other tools (7/21, 33%). In total, 29% (6/21) of the systematic reviews focused on EMAs, including ecological momentary interventions; 33% (7/21) focused on trace data; and 38% (8/21) focused on both. Narrative reviews mainly focused on the discussion of issues related to digital phenotyping, existing theoretical frameworks used, new opportunities, and practical examples. CONCLUSIONS: EMAs and trace data in the context of mental health assessments and interventions are promising tools. Opportunities (eg, using mobile approaches in low- and middle-income countries, integration of multimodal data, and improving self-efficacy and self-awareness on mental health) and limitations (eg, absence of theoretical frameworks, difficulty in assessing the reliability and effectiveness of such approaches, and need to appropriately assess the quality of the studies) were further discussed. TRIAL REGISTRATION: PROSPERO CRD42022347717; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=347717.

Single task-level, 2SD-based cutoffs for the Italian version of the Edinburgh Cognitive and Behavioral ALS screen (ECAS).

The present study aimed at deriving, by means of a traditional "2 standard deviation-based" (2SD) approach, single task-level cutoffs for the Italian version of the Edinburgh Cognitive and Behavioral ALS Screen (ECAS). Cutoffs were derived - as M-2*SD - from the sample of healthy participants (HPs) included within 2016 Poletti et al.'s normative study - N = 248; 104 males; age: 57.8 ± 10.6; education: 14.1 ± 4.6 - separately for the four, original demographic classes: 1) education <14 years and age ≤60 years; 2) education <14 years and age >60 years; 3) education ≥14 years and age ≤60 years; 4) education ≥14 years and age >60 years. The prevalence of deficits on each task was then estimated within a cohort of N = 377 amyotrophic lateral sclerosis (ALS) patients without dementia. The distribution of abnormal performance prevalences was overall consistent with the cognitive phenotype of ALS. In conclusion, the single task-level cutoffs herewith provided for the Italian version of the ECAS, which complement those already available within Poletti et al.'s normative framework, will help better profile Italian ALS patients' cognitive phenotype within both clinical and research settings.

Italian validation of the Clinical Outcomes in Routine Evaluation-10 (CORE-10): a short measure for routine outcome monitoring in clinical practice.

The customization of the intervention using patient feedback is an evidence-based practice aimed at the continuous evaluation, during treatment, of the patient's change at a clinical level. There are few easy-to-use tools for common assessment of psychological distress, designed to be used for screening and during treatment to monitor progress. The Clinical Outcomes in Routine Evaluation-10 (CORE-10) is definitely one of them. Thus, the aim of the present study was to examine the psychometric properties of the Italian version of the CORE-10. A sample of 548 participants (females, N=463, 84.5%; mean age 23.29±7.21 years) was recruited in the study and filled out a battery of measures. The internal validity of the CORE-10 was investigated through a confirmatory factor analysis which evidenced a good fit to the data, suggesting a unidimensional factorial structure of the measure. Further, the scale had a good internal reliability and was significantly associated with other measures of distress, interpersonal problems, well-being, and insecure attachment. Finally, it showed excellent diagnostic accuracy, as well as intrinsic and post-test diagnostics. Given its validity and reliability, the CORE-10 may be adopted by Italian-speaking psychotherapists and researchers to evaluate the outcomes of mental health interventions as well as to track the session-to-session changes over time in psychological distress among patients.

Clinimetrics of the cognitive section of the Italian ALS Cognitive Behavioral Screen (ALS-CBS™).

BACKGROUND: The present study aimed at (1) providing further validity and reliability evidence for the Italian version of the cognitive section of the ALS Cognitive Behavioral Screen (ALS-CBS™) and (2) testing its diagnostics within an Italian ALS cohort, as well as at (3) exploring its capability to discriminate patients from healthy controls (HCs). METHODS: N = 293 non-demented ALS patients were administered the cognitive sections of the ALS-CBS™ and Edinburgh Cognitive and Behavioural ALS Screen (ECAS). N = 96 HCs demographically matched with N = 96 patients were also administered the cognitive section of the ALS-CBS™. In patients, factorial and construct validity, internal reliability, and diagnostics against a defective score on the cognitive section of the ECAS were tested. Case-control discrimination was assessed via a logistic regression. RESULTS: ALS-CBS™ cognitive subscales were underpinned by a simple, unidimensional structure, internally reliable (McDonald's ω = 0.74), and mostly related with ECAS executive and fluency scores (rs = 0.54-0.71). Both raw and age- and education-adjusted scores on the cognitive section of the ALS-CBS™ accurately detected ECAS-defined cognitive impairment (AUC = 0.80 and .88, respectively), yielding optimal error-based, information-based and unitary diagnostics. A cut-off of < 15.374 was identified on adjusted scores. The test was able to discriminate patients from HCs (p < 0.001). DISCUSSION: The cognitive section of the Italian ALS-CBS™ is a valid, reliable, and diagnostically sound ALS-specific screener for detecting frontotemporal, executive-/attentive-based cognitive inefficiency in non-demented ALS patients, being also able to discriminate them from normotypical individuals.

Standardization of the Italian ALS-CBS™ Caregiver Behavioral Questionnaire.

Background: The present investigation aimed at testing the psychometrics and diagnostics of the Italian version of the Caregiver Behavioral Questionnaire (CBQ) from the ALS Cognitive Behavioral Screen (ALS-CBS™), as well as its case-control discrimination, in a cohort of non-demented patients with ALS. Methods: The caregivers of N = 265 non-demented patients with ALS and N = 99 healthy controls (HCs) were administered the CBQ and the Edinburgh Cognitive and Behavioural ALS Screen-Carer Interview (ECAS-CI). For N = 98 patients, an in-depth behavioural/psychopathological assessment via the Frontal Behavioural Inventory (FBI), the Dimensional Apathy Scale (DAS), the State and Trait Anxiety Inventory-Form Y (STAI-Y), and the Beck Depression Inventory (BDI) was also available. Factorial and construct validity, internal reliability, and diagnostics against an abnormal ECAS-CI score were tested in patients. Case-control discrimination was explored through logistic regression. Results: The CBQ was internally reliable (McDonald's ω = 0.90) and underpinned by a simple, unidimensional structure; it converged with ECAS-CI, FBI, and DAS scores and diverged from STAI-Y and BDI ones. A cutoff of ≤ 33 accurately detected abnormal ECAS-CI scores (AUC = 0.85), yielding optimal error- and information-based diagnostics. The CBQ was independent of demographic and disease-related variables and discriminated patients from HCs (p < 0.001). Discussion: The Italian version of the CBQ from the ALS-CBS™ is a valid, reliable, diagnostically sound, and feasible screener for detecting frontotemporal-like behavioural changes in non-demented patients with ALS. Its adoption is thus recommended within clinical practice and research in the view of providing preliminary information on whether the administration of more extensive behavioural instruments is needed.

Examining bi-directionality between Fear of Missing Out and problematic smartphone use. A two-wave panel study among adolescents.

BACKGROUND: In recent years, the Fear of Missing Out (FoMO) construct has been the object of growing attention in digital technology research with previous studies finding support for the relationship between FoMO and problematic smartphone use (PSU) among adolescents and young adults. However, no previous studies clarified the causal link between FoMO and PSU using a longitudinal design. METHODS: An auto-regressive, cross-lagged panel design was tested by using a longitudinal dataset with two waves of data collection (T0 and T1, one year apart). Participants included two hundred and forty-two adolescents (109 males and 133 females), with a mean age of 14.16 years, who filled out the Fear of Missing Out scale (FoMOs) and the Smartphone Addiction Scale (SAS). Moreover, participants filled out the Difficulties in Emotion Regulation Scale (DERS), at the first time-point of data collection. RESULTS: The findings of the study show that FoMO (both FoMO-Fear and FoMO-Control subscales) and PSU are positively related at both time-points (i.e. at a cross-sectional level). However no cross-lagged associations between them were longitudinally supported. Females and older adolescents show higher FoMO-Fear at T1. CONCLUSIONS: The findings of the present study suggest caution when causal links between FoMO and PSU are inferred.