Brain Emotion Systems, Personality, Hopelessness, Self/Other Perception, and Gambling Cognition: A Structural Equation Model

Validation of the Italian version of the 25-item Hikikomori Questionnaire (HQ-25-I)

INTRODUCTION

The present study aimed to adapt the 25-item Hikikomori Questionnaire to the Italian context (HQ-25-I) and to test its psychometric properties in two samples, particularly a sample of residents with psychiatric conditions (n = 117) and a sample of individuals from the community (n = 209).

METHODS

We tested the fit of the original three-factor structure (Socialization, Isolation, and Emotional Support) and measurement invariance across the two groups, and the reliability, convergent, and criterion (concurrent) validity of the HQ-25-I.

RESULTS

The results showed that the original measurement model fitted the data well and that it was invariant across the two groups. The measure was reliable and positively correlated with some maladaptive personality trait domains (PID-5-BF), Depression (BDI-II), and Hopelessness (BHS) in both groups, with higher scores observed in the clinical sample. However, low correlations were found between the HQ-25-I and the PID-5-BF Detachment and Negative Affectivity.

CONCLUSIONS

The results from the study showed that the HQ-25-I is reliable, but further examination of its validity is warranted. Implications for theory and future research are discussed.

Do people have control over the decisions they make? Psychometric properties of the Italian version of the free will and scientific determinism questionnaire (FAD-plus-I)

The FAD-Plus is a multidimensional measure of lay Beliefs in Free Will, Fatalistic Determinism, Scientific Determinism, and Unpredictability. This study had four aims: First, to test the factor structure of the Italian translation of the FAD-Plus in a sample of adults from the community, using structural equation modeling. Second, to test the reliability of the four scales. Third, to investigate gender invariance in item thresholds and factor loadings. Fourth, to analyze the criterion-related validity of the measure. Participants were 328 adults from the community, specifically 173 females and 155 males aged 18–56 years. Results showed that the proposed bifactor model tested by means of exploratory structural equation modeling fitted the data well (CFI = 1.000, RMSEA = 0.000, SRMR = 0.045), and that all the scales were reliable (Omega = .91–.98). Gender invariance was established, with no significant differences in fit indices between females and males. Beliefs in Free Will correlated positively and lowly to moderately with Aggressiveness (rs = .12), Extraversion (.25), Self- (.40) and Other-Representations of adult attachment (.43). Beliefs in Fatalistic Determinism correlated positively and lowly with Other-Representations (rs = .11), whereas its correlations with Aggressiveness, Extraversion, and Neuroticism were close to zero. In conclusion, these findings provide researchers and practitioners with evidence on a reliable and valid measure of Beliefs in free will and determinism in the Italian context, considered as predictors of individuals’ autonomy, effective coping, and prosocial behavior, of foremost importance for prevention and intervention in the community, particularly in occupational, legal, and clinical settings.

The Relationship between Impulsiveness, Self-Esteem, Irrational Gambling Belief and Problem Gambling Moderating Effects of Gender

The present study investigated the relationship between impulsivity, self-esteem, irrational gambling belief, and problem gambling and also explored whether the relationships between these constructs are different for males and females. Participants included 563 college students with 259 males (46.0%) and 304 females (54.0%) from Korea. Participants completed a survey. The results showed that 5.3% of students were problem gamblers, while 9.4% were moderate-risk gamblers. The relationships between impulsivity, self-esteem, irrational gambling belief, and problem gambling differed for males and females. For females, greater impulsivity and lower self-esteem predicted higher irrational gambling belief, while higher irrational gambling belief predicted more problem gambling. For males, greater impulsivity predicted higher irrational gambling belief, and higher irrational gambling belief predicted more problem gambling. This finding suggests that different prevention efforts are needed, which will require identifying the variables that affect problem gambling.

A comprehensive review of studies using the Affective Neuroscience Personality Scales in the psychological and psychiatric sciences

Jaak Panksepp's Affective Neuroscience Theory (ANT) belongs to the most prominent emotion theories in the psychological and psychiatric sciences. ANT proposes the existence of seven primary emotional systems deeply anchored in the mammalian brain. These emotional/motivational systems have been shaped by evolutionary processes and function as tools for survival in mammalian species. The systems are called SEEKING, LUST, CARE, and PLAY, as well as ANGER, FEAR, and SADNESS. Panksepp carved out these emotional systems via means of deep brain stimulation, brain lesion and pharmacological manipulation studies. Davis et al. (2003) designed the Affective Neuroscience Personality Scales (ANPS) against the background of findings from ANT. This self-report inventory is meant to enable researchers to assess individual differences in primary emotional systems. Seventeen years have passed since the first version of the ANPS has been published. Therefore, we now provide a comprehensive overview on studies using the ANPS including work from personality science, psychiatry and the neurosciences.

Psychometric properties of the Italian version of the Interpersonal Needs Questionnaire-15 (INQ-15-I)

OBJECTIVE

The Interpersonal Needs Questionnaire (INQ-15) is a self-report measure of thwarted belongingness and perceived burdensomeness, two constructs associated with suicidal ideation. The objective of the current study was to translate the INQ-15 from English to Italian (INQ-15-I) and to test its factor structure, reliability, and validity in Italian samples.

METHOD

We examined (a) whether the components of the hypothesized two-factor measurement model are invariant across a community sample (N = 510) and a clinical sample (N = 259); (b) the relations between the INQ-15-I factors and measures of depression (Beck Depression Inventory-II), hopelessness (Beck Hopelessness Scale), and suicidal ideation (Beck Scale for Suicide Ideation); (c) the reliability and psychometric properties of the INQ-15-I.

RESULTS

Results from multigroup confirmatory factor analyses supported the adequacy of the two-factor model to represent thwarted belongingness and perceived burdensomeness. The model is invariant across community and clinical groups, showing excellent fit. The two INQ-15-I scales measure highly intercorrelated constructs. Both significantly correlate with depression, hopelessness, and suicidal ideation, and correlations are high in the clinical sample.

CONCLUSION

The INQ-15-I is a valid and reliable measure of thwarted belongingness and perceived burdensomeness. Implications for research, assessment, and intervention in suicidal ideation are discussed.

Psychometric Properties of the Italian Versions of the Gambling Urge Scale (GUS) and the Gambling Refusal Self-Efficacy Questionnaire (GRSEQ)

Gambling urges and gambling refusal self-efficacy beliefs play a major role in the development and maintenance of problem gambling. This study aimed to translate the Gambling Urge Scale (GUS) and the Gambling Refusal Self-Efficacy Questionnaire (GRSEQ) from English to Italian (GUS-I, GRSEQ-I) and to test their factor structure, internal consistency, construct validity, concurrent validity, and gender differences in 513 individuals from the Italian community. Factor structure and construct validity were tested through Confirmatory Factor Analysis, internal consistency through Cronbach’s alpha, concurrent validity through correlations with gambling-related cognitions (GRCS-I), probable pathological gambling (SOGS-I), and gambling functioning (GFA-R-I). Results confirmed that the 6 items of the GUS-I load highly on one dimension of Gambling Urge, and each of the 26 items of the GRSEQ-I load highly on their relevant sub-dimension, among the following: situations/thoughts, drugs, positive emotions, negative emotions. Both scales are internally consistent and show concurrent validity with gambling-related cognitions, probable pathological gambling, and gambling functioning. Males score higher than females at the GUS-I; females score higher than males at the GRSEQ-I. The findings from the present study suggest that the GUS-I and the GRSEQ-I are internally consistent and valid scales for the assessment of gambling urges and gambling refusal self-efficacy in Italian individuals from the community, with significant repercussions in terms of assessment, prevention, and intervention.

Identifying Environmental and Social Factors Predisposing to Pathological Gambling Combining Standard Logistic Regression and Logic Learning Machine

Identifying potential risk factors for problem gambling (PG) is of primary importance for planning preventive and therapeutic interventions. We illustrate a new approach based on the combination of standard logistic regression and an innovative method of supervised data mining (Logic Learning Machine or LLM). Data were taken from a pilot cross-sectional study to identify subjects with PG behaviour, assessed by two internationally validated scales (SOGS and Lie/Bet). Information was obtained from 251 gamblers recruited in six betting establishments. Data on socio-demographic characteristics, lifestyle and cognitive-related factors, and type, place and frequency of preferred gambling were obtained by a self-administered questionnaire. The following variables associated with PG were identified: instant gratification games, alcohol abuse, cognitive distortion, illegal behaviours and having started gambling with a relative or a friend. Furthermore, the combination of LLM and LR indicated the presence of two different types of PG, namely: (a) daily gamblers, more prone to illegal behaviour, with poor money management skills and who started gambling at an early age, and (b) non-daily gamblers, characterised by superstitious beliefs and a higher preference for immediate reward games. Finally, instant gratification games were strongly associated with the number of games usually played. Studies on gamblers habitually frequently betting shops are rare. The finding of different types of PG by habitual gamblers deserves further analysis in larger studies. Advanced data mining algorithms, like LLM, are powerful tools and potentially useful in identifying risk factors for PG.