The influence of gender role on the prediction of antisocial behaviour and somatization

Castro, Yessenia; Carbonell, Joyce L.; Anestis, Joye C.

doi:10.1177/0020764011406807

Cited by 18 publications

(12 citation statements)

References 57 publications

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“…According to gender, findings showed differences in specific personality domains, with females reporting higher Negative affectivity scores and males showing higher Antagonism. These data are consistent with those of a recent study (Romero & Alonso, 2019) and confirmed previous results regarding higher prevalence of antisocial traits among males (Castro, Carbonell & Anestis, 2012) as well as a higher incidence of anxiety and internalizing disorders in females (Kessler, Berglund, Demler, Jin, Merikangas & Walters, 2005). These gender differences are likely to be rooted in biological, cognitive, social‐emotional and cultural factors (Zahn‐Waxler, Shirtcliff & Marceau, 2008).…”

Section: Discussionsupporting

confidence: 93%

The relationship between maladaptive personality functioning and problematic technology use in adolescence: A cluster analysis approach

Amendola

Spensieri

Biuso

et al. 2020

Scandinavian J Psychology

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In the last two decades, scientific research has explored the problematic use of internet, videogames and mobile phones. However, there is still little consistent knowledge regarding the co-occurrence of problematic technology use and the role of maladaptive personality characteristics in adolescence. The present study aimed to investigate adolescents' styles of technology use with a cluster analysis approach focusing on personality functioning. The sample comprised 408 Italian adolescents (46.3% males) aged 11 to 18 years (M age = 13.80; SD = 2.08). Data were collected using the Internet Addiction Test, the Videogame Dependency Scale, the Test of Mobile-Phone Dependence Brief Form and the Personality Inventory for DSM5 Brief Form. Results provided a four-cluster solution based on the co-occurrence of problematic technology use. The four clusters were labeled as follows: cluster 1: "Above average internet and mobile-phone use"; cluster 2: "Below average technology use"; cluster 3: "Above average videogame use"; and cluster 4: "Problematic technology use." Analyses on demographic variables (e.g., gender and age) demonstrated significant differences between the four groups. Adolescents with high levels of problematic technology use reported greater overall personality dysfunction than the other three groups. This finding supported our hypothesis on maladaptive personality functioning in adolescents at risk for addiction. Finally, the Antagonism domain played a specific role in differentiating the severity of adolescents' involvement in technology use. Further studies are needed to confirm our findings and to plan preventive interventions as well as therapeutic treatments.

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Section: Discussionsupporting

confidence: 93%

The relationship between maladaptive personality functioning and problematic technology use in adolescence: A cluster analysis approach

Amendola

Spensieri

Biuso

et al. 2020

Scandinavian J Psychology

View full text Add to dashboard Cite

show abstract

“…Furthermore, the findings are congruent with accumulating evidence for the high prevalence of antisocial traits among men (e.g. Castro et al 2012;Hamburger et al 1996) because males were found to score higher than females on antagonism.…”

Section: Discussionsupporting

confidence: 84%

The Associations Between Maladaptive Personality Traits, Craving, Alcohol Use, and Adolescent Problem Gambling: An Italian Survey Study

et al. 2019

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Although gambling disorder (GD) criteria do not explicitly address craving, it has received increased attention because it has been found to be a significant predictor of gambling severity. Furthermore, recent findings have suggested that both alcohol consumption and maladaptive personality traits may be risk factors among adult GD. To date, no study has evaluated the relative contribution of these factors in adolescent gambling behavior. Consequently, the present study investigated the relationship between gambling severity, craving, maladaptive personality traits, and alcohol use among adolescents. The sample comprised 550 Italian high-school students (50.2% males), aged 14-19 years (mean age = 16.24 years; SD = 1.56). Participants were administered the South Oaks Gambling Screen-Revised for Adolescents (SOGS-RA), Gambling Craving Scale (GACS), Personality Inventory for DSM-5-Brief Format (PID-5-BF), and Alcohol Use Disorders Identification Test (AUDIT). Results indicated that relative to both non-gamblers and nonproblem gamblers, at-risk gamblers and problem gamblers scored higher on GACS, PID-5-BF and AUDIT. Regression analysis showed that Antagonism and Disinhibition PID-5-BF dimensions, Anticipation and Desire GACS subscales, and AUDIT total score were the best predictors of adolescent gambling involvement. These findings provide the first empirical evidence of associations between problematic gambling, craving, alcohol consumption, and maladaptive personality traits in adolescence.

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“…Femininity was found to be protective against both a high and increasing symptom severity. This is different from earlier crosssectional studies that showed an association between femininity, measured by the gender index, domestic responsibilities, or the BEM sex role inventory, respectively, and higher levels of common somatic symptoms (Ballering et al, 2020;Krantz & Ostergren, 2001) or that found no association (Castro, Carbonell, & Anestis, 2012). These differences may be explained by the longitudinal nature of the current study, which provides insight into the dynamics of symptoms over time and may result in a more precise assessment of somatic symptom severity.…”

Section: Sex and Gender In Relation To Somatic Symptom Trajectoriescontrasting

confidence: 99%

Female sex and femininity independently associate with common somatic symptom trajectories

et al. 2020

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Background Multiple predictors have been associated with persistent somatic symptoms. However, previous studies problematically defined the persistence of symptoms, conflated participants' sex and gender, and focused on patient populations. Therefore, we studied associations between predictors, especially sex and gender, and longitudinal patterns of somatic symptoms in the general adult population. We also assessed whether predictors for persisting symptoms differ between sexes. Method To identify developmental trajectories of somatic symptoms, assessed by the SCL-90 SOM, we used latent class trajectory modeling in the Dutch Lifelines Cohort Study [N = 150 494; 58.6% female; median time to follow-up: 46.0 (min–max: 22.0–123.0) months]. To identify predictors of trajectories, we applied multiple logistic regression analyses. Predictors were measured by surveys at baseline and a composite gender index was previously developed. Results A five-class linear LCGA model fitted the data best: 93.7% of the population had a stable symptom trajectory, whereas 1.5% and 4.8% of the population had a consistently increasing or decreasing symptom trajectory, respectively. Female sex predicted severe, stable symptom severity (OR 1.74, 95% CI 1.36–2.22), but not increasing symptom severity (OR 1.15, 95% CI 0.99–1.40). Femininity was protective hereof (OR 0.60, 95% CI 0.44–0.82 and OR 0.66, 95% CI 0.51–0.85, respectively). Merely a few predictors of symptom severity, for instance hours of paid employment and physical functioning, differed in strength between sexes. Yet, effect sizes were small. Conclusion Female sex and femininity predict symptom trajectories. No large sex differences in the strength of additional predictors were found, thus it may not be clinically useful to distinguish between predictors specific to male or female patients of persistent somatic symptoms.

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The influence of gender role on the prediction of antisocial behaviour and somatization

Cited by 18 publications

References 57 publications

The relationship between maladaptive personality functioning and problematic technology use in adolescence: A cluster analysis approach

The relationship between maladaptive personality functioning and problematic technology use in adolescence: A cluster analysis approach

The Associations Between Maladaptive Personality Traits, Craving, Alcohol Use, and Adolescent Problem Gambling: An Italian Survey Study

Female sex and femininity independently associate with common somatic symptom trajectories

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