“…In a recent review, Sharp (2020) argues that the AMPD is suitable for personality pathology assessment in adolescents because it integrates a developmental perspective on personality pathology by focusing on identity functioning. However, research on existing Criterion A measures in adolescent samples is scarce (Fossati & Somma, 2021) and to date, only two measures of Criterion A for adolescents are available: the Adolescent Personality Structure Questionnaire (APS-Q; Benzi et al, 2021) and the LoPF-Q 12-18 (Goth et al, 2018).…”
Section: The Dsm-5 Section III Alternative Model For Personality Diso...mentioning
In Section III of the Diagnostic and Statistical Manual of Mental Disordersfifth edition (DSM-5), an Alternative Model for Personality Disorders (AMPD) is proposed, including a criterion for personality functioning impairment (Criterion A) to assess severity of personality pathology. The present study examined the structure, reliability, and convergent validity of the Dutch version of a five-item screening scale for Criterion A -the Five-Item Screening Scale for Personality Disorders (FISSPD;Skodol et al., 2011) -in a community sample of 1,477 adolescents and 546 adults. To assess convergent validity, identity and personality (pathology) questionnaires were completed by adolescents and adults.Confirmatory factor analysis yielded a single factor structure for the FISSPD, which proved to be (partially) invariant across age and gender. Adequate reliability coefficients were obtained for the FISSPD. In both the adolescent and adult sample, significant correlations were found between the FISSPD and consolidated identity (negative) and disturbed identity/lack of identity (positive). In the adult sample, the FISSPD showed significant correlations with several personality disorders (and especially with the borderline personality disorder), maladaptive personality traits (Criterion B of the AMPD), and general personality impairment. In the adolescent sample, the FISSPD was positively correlated with borderline personality disorder characteristics. Furthermore, significant correlations were found with the Big-Five personality traits in the adolescent sample: the FISSPD correlated significantly positive with neuroticism, and negative with extraversion, agreeableness, and conscientiousness. In sum, the present study supports the reliability and validity of the FISSPD to screen for (severity of) personality pathology.
“…In a recent review, Sharp (2020) argues that the AMPD is suitable for personality pathology assessment in adolescents because it integrates a developmental perspective on personality pathology by focusing on identity functioning. However, research on existing Criterion A measures in adolescent samples is scarce (Fossati & Somma, 2021) and to date, only two measures of Criterion A for adolescents are available: the Adolescent Personality Structure Questionnaire (APS-Q; Benzi et al, 2021) and the LoPF-Q 12-18 (Goth et al, 2018).…”
Section: The Dsm-5 Section III Alternative Model For Personality Diso...mentioning
In Section III of the Diagnostic and Statistical Manual of Mental Disordersfifth edition (DSM-5), an Alternative Model for Personality Disorders (AMPD) is proposed, including a criterion for personality functioning impairment (Criterion A) to assess severity of personality pathology. The present study examined the structure, reliability, and convergent validity of the Dutch version of a five-item screening scale for Criterion A -the Five-Item Screening Scale for Personality Disorders (FISSPD;Skodol et al., 2011) -in a community sample of 1,477 adolescents and 546 adults. To assess convergent validity, identity and personality (pathology) questionnaires were completed by adolescents and adults.Confirmatory factor analysis yielded a single factor structure for the FISSPD, which proved to be (partially) invariant across age and gender. Adequate reliability coefficients were obtained for the FISSPD. In both the adolescent and adult sample, significant correlations were found between the FISSPD and consolidated identity (negative) and disturbed identity/lack of identity (positive). In the adult sample, the FISSPD showed significant correlations with several personality disorders (and especially with the borderline personality disorder), maladaptive personality traits (Criterion B of the AMPD), and general personality impairment. In the adolescent sample, the FISSPD was positively correlated with borderline personality disorder characteristics. Furthermore, significant correlations were found with the Big-Five personality traits in the adolescent sample: the FISSPD correlated significantly positive with neuroticism, and negative with extraversion, agreeableness, and conscientiousness. In sum, the present study supports the reliability and validity of the FISSPD to screen for (severity of) personality pathology.
“…Interest in the developmental aspects of personality disorder has increased over the last two decades, motivated by research showing that personality disorder onsets in adolescence; therefore, early identification and intervention in adolescence may prevent significant suffering and cost for individuals and families (5)(6)(7). While a robust literature exists supporting both the traditional DSM-5 section II conceptualization of borderline personality disorder in adolescence, and that of DSM-5 Section III Criterion B/ICD-11 maladaptive traits in children and adolescents, much less research has been conducted on the entry criteria of both the AMPD and the ICD-11 formulations (maladaptive self-and inter-personal function) in adolescents (8). Hence, little is known about the mean differences between age groups in the common features of maladaptive personality function.…”
Little is known about the differences between age groups in maladaptive personality function as denoted in Criterion A of the Alternative Model for Personality Disorder (AMPD) in the DSM-5, which is the entry criterion for diagnosing personality disorder in the upcoming ICD-11. The current study aimed to address this gap by evaluating latent mean age group differences in maladaptive identity, which is one aspect that has been identified as an important feature of maladaptive, general personality function as represented in the DSM-5 and ICD-11. We were also interested whether mean differences would track with mean differences in borderline personality disorder (BPD) features given prior data suggesting that general personality function overlap with the construct of BPD. A community sample of N = 2,381 adolescents, representing a mix of different socio-economic and educational backgrounds, ages 12-18 (M = 14.92, SD = 1.94; 46% male) completed a measure of maladaptive identity. A subset (n = 1,165) completed a measure of borderline personality features. Latent variable modeling was used to evaluate latent mean differences across seven age bands. Results suggested a normative increase in maladaptive identity after age 12, which remained consistent until age 17 when it dropped back to levels observed in 12-year-olds. Maladaptive identity was significantly associated with mean-level increases in borderline personality features, with these constructs becoming more closely associated with increasing age.
“…Five levels of severity of LPFS impairment can be distinguished ( none , mild , moderate , severe , and extreme ; Hutsebaut et al, 2017). A STiP-5.1 cutoff value of 2 (moderate impairment) indicates the presence of a PD (Fossati & Somma, 2021; Hutsebaut et al, 2017; Morey et al, 2013). According to the manual, the calculation of the STiP-5.1 threshold is not predefined and at the discretion of the professional who employs the diagnostic tool.…”
Borderline personality disorder (BPD) has been associated with a reduced functional flexibility of the autonomic nervous system (ANS), indexed by decreased vagally mediated heart rate variability (vmHRV). Employing a comprehensive Section II-based assessment approach and a partial Section III-based assessment approach (including Criterion A of the alternative model of personality disorders [AMPD]), the present study investigates how different conceptualizations of personality disorders (PDs) according to the Diagnostic and Statistical Manual for Mental Disorders, 5th edition relate to ANS function. Using the BPD section of the Structured Clinical Interview for DSM-IV Axis II Disorders (SCID-II, a Section IIbased assessment approach) and the Semistructured Interview for Personality Functioning DSM-5 (STiP-5.1, a Section III-based assessment approach), we conducted linear regression analyses to examine how categorical (BPD diagnosis) and dimensional (severity and domain) measures of PD are associated with ANS activity among adolescent psychiatric patients (N = 147, M age = 15.25 years). Replicating earlier findings, analyses revealed a statistically significant positive association between the SCID-II measures of BPD and heart rate (HR), b = 0.43, t(59) = 3.57, p = .001, f = .57, as well as a statistically significant negative association between the SCID-II measures of BPD and vmHRV, b = −0.34, t(59) = −2.74, p = .008, f = .47. Neither the STiP-5.1 total score nor the subscales of the Level of Personality Functioning Scale (LPFS) were associated with HR or vmHRV. The present findings indicate that the SCID-II may capture features of PD that are more informative of variance in physiological function than the STiP-5.1.
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