Influence of stimuli emotional features and typicality on memory performance: insights from a virtual reality context.

The present study tested the influence of stimuli emotional valence, emotional arousal, and typicality on memory recollection in three groups of participants exposed to the same environment through different modalities: in vivo exposure (i.e., real-life), 3D virtual reality (i.e., VR), and 2D pictures. Context-related free-recall, recognition accuracy, and recognition confidence were analyzed. The results showed that memory performance was best in the real-life modality, and participants in the VR and 2D pictures modalities performed comparably. Interesting effects of stimuli emotional valence and typicality emerged: in the VR and 2D pictures modalities, positive items were better recalled than negative items; typicality was relevant only in the real-life modality, with less common objects within the explored setting (i.e., an office) recalled more often. Furthermore, recognition accuracy and confidence were significantly higher in the real-life modality than in the VR and 2D pictures modalities. Further research is needed to support the creation of VR environments that are sufficiently comparable to real-life contexts in order to obtain higher ecological validity in studies of cognitive performance. In particular, the impact of stimuli typicality and emotional valence in VR contexts should be investigated to gain insight into how these features might improve memory recall in virtual scenarios.

Detecting faking-good response style in personality questionnaires with four choice alternatives.

Deliberate attempts to portray oneself in an unrealistic manner are commonly encountered in the administration of personality questionnaires. The main aim of the present study was to explore whether mouse tracking temporal indicators and machine learning models could improve the detection of subjects implementing a faking-good response style when answering personality inventories with four choice alternatives, with and without time pressure. A total of 120 volunteers were randomly assigned to one of four experimental groups and asked to respond to the Virtuous Responding (VR) validity scale of the PPI-R and the Positive Impression Management (PIM) validity scale of the PAI via a computer mouse. A mixed design was implemented, and predictive models were calculated. The results showed that, on the PIM scale, faking-good participants were significantly slower in responding than honest respondents. Relative to VR items, PIM items are shorter in length and feature no negations. Accordingly, the PIM scale was found to be more sensitive in distinguishing between honest and faking-good respondents, demonstrating high classification accuracy (80-83%).

The COVID-19 lockdown and psychological distress among Italian parents: Influence of parental role, parent personality, and child difficulties.

The Italian lockdown following the spread of COVID-19 exposed residents to a long and unexpected period of managing offspring at home. Throughout this time, most parents continued to work remotely. The present research aimed at assessing multiple sociodemographic and psychological variables for parental well-being during the lockdown. An online survey was administered from 6 to 11 April 2020. Respondents were 917 parents aged 23-67 years with up to six children, aged 3-13 years. The measures employed were: 14 demographic questions, the Big Five Inventory (BFI-10), the Emotional Symptoms and Hyperactivity-Inattention subscales of the Strength and Difficulties Questionnaire (SDQ-P), and the General Health Questionnaire (GHQ-12). Multiple moderated linear regression analyses were performed. Motherhood, higher levels of education, higher neuroticism, lower extroversion, and more child emotional and hyperactivity-inattention symptoms were found to be significant predictors of parent distress. Furthermore, a significant two-way interaction between child emotional problems and parent extroversion was found. Overall, parents showed high rates of psychological distress, signalling severe difficulties during the lockdown. Families with a child suffering from emotional and behavioural difficulties should immediately be detected by social services to activate support interventions to prevent chronic and amplified manifestations of these problems.

Parenting-Related Exhaustion During the Italian COVID-19 Lockdown.

OBJECTIVE: Worldwide, the coronavirus disease 2019 (COVID-19) pandemic has generated significant worry, uncertainty, anxiety, sadness, and loneliness. In Italy, these effects have been particularly pronounced. While research on the COVID-19 outbreak has mainly focused on the clinical features of infected patients and the psychological impact on the general population and health professionals, no investigation has yet assessed the psychological impact of the pandemic on parents. In the present research, we conducted a web-based survey of Italian parents to examine the prevalence of parenting-related exhaustion-and to identify its associated risk and protective factors-4 weeks into the lockdown. METHODS: A total of 1,226 parents provided their consent to participate in the study and completed a demographic questionnaire, information relating to particular COVID-19 experiences, and measures of emotional exhaustion, parental resilience, social connections, and psychological distress during the lockdown. RESULTS: Seventeen percent of our sample experienced significant parenting-related exhaustion, with mothers more severely affected. Multiple regression analyses showed that greater parenting-related exhaustion was predicted by psychological distress, lower parental resilience, motherhood, fewer perceived social connections, and being single, as well as having a child with special needs, having a large number of children, and having younger children. CONCLUSION: The findings add further support to the call for preventive programs to support parents throughout the COVID-19 pandemic. Mental health professionals and social workers should be warned of the effects of lockdown and social distancing on parenting and, consequently, the well-being of children.

Psychometric properties of the FertiQoL questionnaire in Italian infertile women in different stages of treatment.

BACKGROUND: Reliable Fertility-specific QoL measures can be obtained through the FertiQoL, a questionnaire with six-subscales that consider different core aspects of the person's wellbeing and way of behaving during treatment. OBJECTIVE: Examine the psychometric properties of all six-subscales of the Italian FertiQoL in a sample of infertile women and explore the effects of the ART treatment phases. METHOD: 323 women, in three different treatment stages (Diagnostic, Stimulation, Transfer), completed the FertiQoL. Raw data were subject to Confirmatory Factor Analysis (CFA), and a structural equation modelling (SEM) was used to validate the hypothesised model. RESULTS: CFA shows a good fit of the data to the FertiQoL hierarchical model (chi-square/df = 1.989, CFI = 0.88, RMSEA = 0.055). After the deletion of 2 items, all FertiQoL scales have good internal consistency. SEM showed that the ART treatment phase was positively associated with fertility-related QoL scores both in the Relational (ß = 0.14, p < 0.05) and in the Tolerability (ß = 0.17, p < 0.05) subscales. CONCLUSION: All scales of the Italian FertiQoL version maintain good psychometric characteristics; Tolerability and Relational subscales are sensitive to the treatment stage and thus providing relevant information for the medical staff.

The ecological validity of the IOP-29: A follow-up study using the MMPI-2-RF and the SIMS as criterion variables.

Current guidelines for conducting symptom validity assessments require that professionals administer multiple symptom validity tests (SVTs) and that the SVTs selected for their evaluations provide nonredundant information. However, not many SVTs are currently available, and most of them rely on the same, (in)frequency-based, feigning detection strategy. In this context, the Inventory of Problems (IOP-29) could be a valuable addition to the assessor's toolbox because of its brevity (29 items) and its different approach to assessing the credibility of presented symptoms. As its ecological validity has been poorly investigated, the present study used a criterion groups design to examine the classification accuracy of the IOP-29 in a data set of 174 court-ordered psychological evaluations focused on psychological injury. The validity scales of the Minnesota Multiphasic Personality Inventory-2 Restructured Form and the total score of the Structured Inventory of Malingered Symptoms were used as criterion variables. Overall, the results of this study confirm that the IOP-29 is an effective measure (1.70 ≤ d ≤ 2.67) that provides valuable information when added to the multimethod assessment of symptom validity in civil forensic contexts. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Machine learning item selection for short scale construction: A proof-of-concept using the SIMS.

ObjectiveThis proof-of-concept paper provides evidence to support machine learning (ML) as a valid alternative to traditional psychometric techniques in the development of short forms of longer parent psychological tests. ML comprises a variety of feature selection techniques that can be efficiently applied to identify the set of items that best replicates the characteristics of the original test. MethodsIn the present study, we integrated a dataset of 329 participants from published and unpublished datasets used in previous research on the Structured Inventory of Malingered Symptomatology (SIMS) to develop a short version of the scale. The SIMS is a multi-axial self-report questionnaire and a highly efficient psychometric measure of symptom validity, which is frequently applied in forensic settings. Results State-of-the-art ML item selection techniques achieved a 72% reduction in length while capturing 92% of the variance of the original SIMS. The new SIMS short form now consists of 21 items. ConclusionsThe results suggest that the proposed ML-based item selection technique represents a promising alternative to standard psychometric correlation-based methods (i.e. item selection, item response theory), especially when selection techniques (e.g. wrapper) are employed that evaluate global, rather than local, item value.

Obesity and Psychological Factors Associated with Weight Loss after Bariatric Surgery: A Longitudinal Study.

Bariatric surgery is indicated for treatment of severely obese people and can lead to significant weight loss as well as reduction of comorbidities associated with obesity. The present study aims to investigate the relationship between different psychological factors (e.g., tendency to binge eating, impulsivity, alexithymia), adherence to the nutritional plan, and weight loss after bariatric surgery. Forty-five candidates for bariatric surgery accessing a center for the care of obesity were assessed at T0 (pre-surgery) and T1 (6 months post-surgery) through anthropometric and psychometric measures. Simple linear correlations and linear regressions were conducted to evaluate the relationship between the psychological variables, adherence to nutritional plan, and weight loss 6 months after bariatric surgery. Non-planning impulsivity was the principal factor that succeeded in explaining adherence to the diet plan among all the variables considered. Adherence to the nutritional plan and non-planning impulsivity were considered reliable short-term predictors of weight loss after bariatric surgery. This evidence explains the usefulness of promoting research on psychological predictors of outcome in bariatric surgery. Mid- and long-term weight maintenance and quality of life need to be investigated through further follow-up.

High Expressed Emotion (HEE), Assessed Using the Five-Minute Speech Sample (FMSS), as a Predictor of Psychiatric Relapse in Patients with Schizophrenia and Major Depressive Disorder: A Meta-Analysis and Meta-Regression.

Expressed Emotion (EE) describes the tone of a caregiver's response to a patient with a mental disorder, and it is used to predict relapse. The Five-Minute Speech Sample (FMSS) is a 5-min interview with a caregiver that evaluates only two EE dimensions. The present study aimed at evaluating HEE (High Expressed Emotion) as a predictor of relapse in patients with schizophrenia and major depressive disorder. Six studies were selected for the meta-analysis. In total, the studies included 297 subjects. The analyses included a random effects model; a meta-analysis excluding the study with the smallest sample; a cumulative meta-analysis; a meta-regression with random effects, using patient age and duration of illness as moderators; a leave-one-out meta-analysis; and a funnel plot to estimate publication bias. The FMSS emerged as a valid and reliable tool for measuring EE as a predictor of relapse in patients with schizophrenia and major depressive disorder. Patient age and duration of illness had no significant effect on the results. Future meta-analyses should include more studies to reduce publication bias. EE may be a good predictor of relapse when examined through a fast measurement technique such as the FMSS, which may also be useful to analyze the psychopathological structure of caregivers.

How Has COVID-19 Affected Mental Health and Lifestyle Behaviors after 2 Years? The Third Step of a Longitudinal Study of Italian Citizens.

The COVID-19 pandemic and its protective measures had a tremendous effect on the general population's mental health and deeply affected their lifestyle. The present study carried out a longitudinal analysis to evaluate the long-lasting psychological effects of the pandemic and its impact on the general population's day-to-day routine. Three points in time were considered: the initial period of the lockdown (T1; n = 2766; March 2020), the final period of the lockdown (T2; n = 439; May 2020) and two years after the lockdown (T3; n = 268; July 2022). Frequency analyses were carried out to examine which behavioral changes were maintained following the COVID-19 pandemic and lockdown; furthermore, a repeated measures ANOVA test was run to measure differences in depression, stress, and anxiety levels between the three periods considered; lastly, multivariable ordinal logistic regression analyses were carried out to examine which variables were associated with psychological distress more than two years after the lockdown. The results highlighted that depression at T3 was associated with depression at T2 and negative affect, whereas stress at T3 was associated with stress at T2 and detachment. The psychological effects and lifestyle changes are also discussed.

Personality and Lockdown: A Study on Italian Undergraduates During the COVID-19 Pandemic.

The current study aimed at increasing our understanding of the psychological impact of the COVID-19 lockdown on undergraduate students, particularly with respect to the association between personality traits; defense mechanisms (DMs); depression, anxiety, and stress symptoms (DASSs); and compliance with the government recommended health measures. A sample of 1,427 Italian undergraduate students were administered the Personality Inventory for the DSM-5-Brief Form; the Defense Style Questionnaire-40; and the Depression, Anxiety and Stress Scale-21. Compliance with the COVID-19 behavioral recommendations was measured through a 10-item survey measure. Results showed that immature DMs and internalizing personality traits (i.e., detachment, negative affect, psychoticism) were risk factors of DASSs. Furthermore, subjects with higher levels of DASSs appeared less compliant with the health measures recommended by the Italian government. Experts may use these results to identify and subsequently support (via the Internet) young subjects at greater risk of mental health problems as a result of the COVID-19 pandemic.

The Relevance of Insomnia in the Diagnosis of Perinatal Depression: Validation of the Italian Version of the Insomnia Symptom Questionnaire.

BACKGROUND: Sleep disorders are common in perinatal women and may underlie or trigger anxiety and depression. We aimed to translate and validate and evaluate the psychometric properties of the Italian version of the Insomnia Symptom Questionnaire (ISQ), in a sample of women during late pregnancy and 6-months postpartum according to the DSM-5 criteria. METHODS: The ISQ was administered to 292 women prenatally along with other measures of sleep quality, depression, and anxiety, to examine its construct and convergent validity. Women were readministered the ISQ six months postdelivery to assess test-retest reliability. Women were divided into DSM-5 No-Insomnia (N = 253) and Insomnia (N = 39) groups. RESULTS: The insomnia group had received more psychopharmacotherapy, had more psychiatric family history, increased rates of medically assisted reproduction, of past perinatal psychiatric disorders, and scored higher on almost all TEMPS-A dimensions, on the EPDS, HCL-32, PSQI, and on ISQ prenatally and postnatally. ISQ scores correlated with all scales, indicating adequate convergent and discriminant validity; furthermore, it showed antenatal-postnatal test-retest reliability, 97.5% diagnostic accuracy, 79.5% sensitivity, 94.9% specificity, 70.5% positive predictive power, and 92.8% negative predictive power. CONCLUSIONS: The ISQ is useful, valid, and reliable for assessing perinatal insomnia in Italian women. The Italian version showed equivalent properties to the original version.

Psychometric Properties of the Perinatal Anxiety Screening Scale Administered to Italian Women in the Perinatal Period.

Literature stressed the importance of using valid, reliable measures to assess anxiety in the perinatal period, like the self-rated Perinatal Anxiety Screening Scale (PASS). We aimed to examine the psychometric properties of the Italian PASS version in a sample of Italian women undergoing mental health screening during their third trimester of pregnancy and its diagnostic accuracy in a control perinatal sample of psychiatric outpatients. Sample comprised 289 women aged 33.17 ± 5.08, range 19-46 years, undergoing fetal monitoring during their third trimester of pregnancy, with 49 of them retested 6 months postpartum. Controls were 60 antenatal or postnatal psychiatric outpatients aged 35.71 ± 5.02, range 22-50 years. Groups were assessed through identical self- and clinician-rating scales. Confirmatory Factor Analysis (CFA), Principal Component Analysis (PCA), Pearson's correlations and receiver operating characteristic were conducted for PASS. PCA and CPA confirmed four-factor structure with slight differences from the original version. Construct validity and test-retest reliability were supported. Cut-off was 26. The PASS correlated with principal anxiety scales. Despite small sample size, findings confirm reliability and validity of the Italian PASS version in assessing anxiety symptoms in the perinatal period. Its incorporation in perinatal care will improve future mother and child psychological health.

The Effect of Parent Psychological Distress on Child Hyperactivity/Inattention During the COVID-19 Lockdown: Testing the Mediation of Parent Verbal Hostility and Child Emotional Symptoms.

The coronavirus disease 2019 (COVID-19) health crisis is strongly affecting the psychological well-being of the general population. According to a very recent literature, the imposed lockdown and social distancing measures have generated a series of negative outcomes, including fear of the future, anxiety, and somatization symptoms. Few studies have investigated the impact of the COVID-19 pandemic on the well-being of parents and children, and still fewer studies have assessed the relationship between the psychological health of parents and children. The present study aimed at understanding the effect of parents' psychological distress and verbal aggression on behavioral and emotional symptoms of children during the COVID-19 lockdown. Using an online survey administered in the first weeks of the lockdown in Italy, we explored the mediating effects of parent verbal hostility and child emotional symptoms on the relationship between parent distress and child hyperactivity/inattention in a sample of 878 Italian parents (87.4% mothers; meanage = 40.58). Two hypotheses were proposed: (1) parent distress would significantly predict child hyperactivity/inattention, and (2) parent verbal hostility and child emotional symptoms would mediate the association between parent distress and child hyperactivity/inattention. The serial mediated model confirmed both hypotheses, suggesting that higher rates of psychological distress in parents were associated with higher levels of hyperactivity/inattention in children. Parent verbal hostility and child emotional problems were also found to positively mediate this relation. Our results may be used to improve sociopsychological interventions in the general population in the near future. They may also contribute to the clinical definition of therapeutic paths for parents and families.

Weight Gain in a Sample of Patients Affected by Overweight/Obesity with and without a Psychiatric Diagnosis during the Covid-19 Lockdown.

The present study aimed at identifying psychological and psychosocial variables that might predict weight gain during the COVID-19 lockdown in patients affected by overweight/obesity with and without a psychiatric diagnosis. An online survey was administered between 25 April and 10 May 2020, to investigate participants' changes in dietary habits during the lockdown period. 110 participants were recruited and allocated to two groups, 63 patients had no psychiatric diagnosis; there were 47 patients with psychiatric diagnosis. ANOVA analyses compared the groups with respect to psychological distress levels, risk perception, social support, emotion regulation, and eating behaviors. For each group, a binary logistic regression analysis was conducted, including the factors that were found to significantly differ between groups. Weight gain during lockdown was reported by 31 of the participants affected by overweight/obesity without a psychiatric diagnosis and by 31 patients with a psychiatric diagnosis. Weight gain predictors were stress and low depression for patients without a psychiatric diagnosis and binge eating behaviors for patients with a psychiatric diagnosis. Of patients without a psychiatric diagnosis, 60% reported much more frequent night eating episodes. The risk of night eating syndrome in persons affected by overweight/obesity with no psychiatric diagnosis should be further investigated to inform the development of tailored medical, psychological, and psychosocial interventions.

Predicting Perceived Stress Related to the Covid-19 Outbreak through Stable Psychological Traits and Machine Learning Models.

The global SARS-CoV-2 outbreak and subsequent lockdown had a significant impact on people's daily lives, with strong implications for stress levels due to the threat of contagion and restrictions to freedom. Given the link between high stress levels and adverse physical and mental consequences, the COVID-19 pandemic is certainly a global public health issue. In the present study, we assessed the effect of the pandemic on stress levels in N = 2053 Italian adults, and characterized more vulnerable individuals on the basis of sociodemographic features and stable psychological traits. A set of 18 psycho-social variables, generalized regressions, and predictive machine learning approaches were leveraged. We identified higher levels of perceived stress in the study sample relative to Italian normative values. Higher levels of distress were found in women, participants with lower income, and participants living with others. Higher rates of emotional stability and self-control, as well as a positive coping style and internal locus of control, emerged as protective factors. Predictive learning models identified participants with high perceived stress, with a sensitivity greater than 76%. The results suggest a characterization of people who are more vulnerable to experiencing high levels of stress during the COVID-19 pandemic. This characterization may contribute to early and targeted intervention strategies.

A Nationwide Survey of Psychological Distress among Italian People during the COVID-19 Pandemic: Immediate Psychological Responses and Associated Factors.

The uncontrolled spread of the coronavirus disease 2019 (COVID-19) has called for unprecedented measures, to the extent that the Italian government has imposed a quarantine on the entire country. Quarantine has a huge impact and can cause considerable psychological strain. The present study aims to establish the prevalence of psychiatric symptoms and identify risk and protective factors for psychological distress in the general population. An online survey was administered from 18-22 March 2020 to 2766 participants. Multivariate ordinal logistic regression models were constructed to examine the associations between sociodemographic variables; personality traits; depression, anxiety, and stress. Female gender, negative affect, and detachment were associated with higher levels of depression, anxiety, and stress. Having an acquaintance infected was associated with increased levels of both depression and stress, whereas a history of stressful situations and medical problems was associated with higher levels of depression and anxiety. Finally, those with a family member infected and young person who had to work outside their domicile presented higher levels of anxiety and stress, respectively. This epidemiological picture is an important benchmark for identifying persons at greater risk of suffering from psychological distress and the results are useful for tailoring psychological interventions targeting the post-traumatic nature of the distress.

The effect of the COVID-19 lockdown on parents: A call to adopt urgent measures.

The COVID-19 health crisis is strongly affecting the mental health of the general population. In particular, the pandemic may be producing psychological distress and collateral concerns for parents in lockdown, due to unstable financial circumstances, school closures, and suspended educational services for children. A call for measures to increase family-based interventions during the emergency is urgently needed to forestall psychopathological trajectories and prevent the exacerbation of vulnerable conditions. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Use of mouse-tracking software to detect faking-good behavior on personality questionnaires: an explorative study.

The aim of the present study was to explore whether kinematic indicators could improve the detection of subjects demonstrating faking-good behaviour when responding to personality questionnaires. One hundred and twenty volunteers were randomly assigned to one of four experimental groups (honest unspeeded, faking-good unspeeded, honest speeded, and faking-good speeded). Participants were asked to respond to the MMPI-2 underreporting scales (L, K, S) and the PPI-R Virtuous Responding (VR) scale using a computer mouse. The collected data included T-point scores on the L, K, S, and VR scales; response times on these scales; and several temporal and spatial mouse parameters. These data were used to investigate the presence of significant differences between the two manipulated variables (honest vs. faking-good; speeded vs. unspeeded). The results demonstrated that T-scores were significantly higher in the faking-good condition relative to the honest condition; however, faking-good and honest respondents showed no statistically significant differences between the speeded and unspeeded conditions. Concerning temporal and spatial kinematic parameters, we observed mixed results for different scales and further investigations are required. The most consistent finding, albeit with small observed effects, regards the L scale, in which faking-good respondents took longer to respond to stimuli and outlined wider mouse trajectories to arrive at the given response.

How to Improve Compliance with Protective Health Measures during the COVID-19 Outbreak: Testing a Moderated Mediation Model and Machine Learning Algorithms.

In the wake of the sudden spread of COVID-19, a large amount of the Italian population practiced incongruous behaviors with the protective health measures. The present study aimed at examining psychological and psychosocial variables that could predict behavioral compliance. An online survey was administered from 18-22 March 2020 to 2766 participants. Paired sample t-tests were run to compare efficacy perception with behavioral compliance. Mediation and moderated mediation models were constructed to explore the association between perceived efficacy and compliance, mediated by self-efficacy and moderated by risk perception and civic attitudes. Machine learning algorithms were trained to predict which individuals would be more likely to comply with protective measures. Results indicated significantly lower scores in behavioral compliance than efficacy perception. Risk perception and civic attitudes as moderators rendered the mediating effect of self-efficacy insignificant. Perceived efficacy on the adoption of recommended behaviors varied in accordance with risk perception and civic engagement. The 14 collected variables, entered as predictors in machine learning models, produced an ROC area in the range of 0.82-0.91 classifying individuals as high versus low compliance. Overall, these findings could be helpful in guiding age-tailored information/advertising campaigns in countries affected by COVID-19 and directing further research on behavioral compliance.