Interaction between Prenatal Maternal Stress and Autonomic Arousal in Predicting Conduct Problems and Psychopathic Traits in Children

Gao, Yu; Huang, Yonglin; Li, Xiaobo

doi:10.1007/s10862-016-9556-8

Cited by 44 publications

(50 citation statements)

References 56 publications

(65 reference statements)

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“…Symptom non-specificity has long been an issue in defining PTSD, as many PTSD symptoms overlap with other mental health disorders, including mood and anxiety disorders (Spitzer et al, 2007), although this is a problem inherent to many DSM diagnoses, not just PTSD (Byllesby et al, 2016; Watson, 2005; Zbozinek et al, 2012). Our findings indicate that some of these non-specific symptoms are important to the PTSD network.…”

Section: Discussionmentioning

confidence: 99%

“…Although many PTSD symptoms overlap with symptoms of other mental disorders, many disorders, particularly mood and anxiety disorders, share symptoms (Byllesby, Charak, Durham, Wang, & Elhai, 2016; Watson, 2005; Zbozinek et al, 2012). Further, there are several important questions that need to be addressed before we can presume that the non-specific symptoms can or should be eliminated.…”

mentioning

confidence: 99%

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Network models of DSM–5 posttraumatic stress disorder: Implications for ICD–11.

Mitchell

Wolf

Bovin

et al. 2017

Journal of Abnormal Psychology

118

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Recent proposals for revisions to the 11th edition of the International Classification of Diseases (ICD-11) posttraumatic stress disorder (PTSD) diagnostic criteria have argued that the current symptom constellation under the Diagnostic and Statistical Manual of Mental Disorders-5 is unwieldy and includes many symptoms that overlap with other disorders. The newly proposed criteria for the ICD-11 include only six symptoms. However, restricting the symptoms to those included in the ICD-11 has implications for PTSD diagnosis prevalence estimates, and it remains unclear whether these six symptoms are most strongly associated with a diagnosis of PTSD. Network analytic methods, which assume that psychiatric disorders are networks of interrelated symptoms, provide information regarding which symptoms are most central to a network. We estimated network models of PTSD in a national sample of veterans of the Iraq and Afghanistan wars. In the full sample, the most central symptoms were persistent negative emotional state, efforts to avoid external reminders, efforts to avoid thoughts or memories, inability to experience positive emotions, distressing dreams, and intrusive distressing thoughts or memories; i.e., three of the six most central items to the network would be eliminated from the diagnosis under the current proposal for ICD-11. An empirically-defined index summarizing the most central symptoms in the network performed comparably to an index reflecting the proposed ICD-11 PTSD criteria at identifying individuals with an independently-assessed DSM-5 defined PTSD diagnosis. Our results highlight the symptoms most central to PTSD in this sample, which may inform future diagnostic systems and treatment.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Network models of DSM–5 posttraumatic stress disorder: Implications for ICD–11.

Mitchell

Wolf

Bovin

et al. 2017

Journal of Abnormal Psychology

118

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“…Emotional components of alexithymia were measured by two subscales of the Toronto Alexithymia Scale [ 30 , 31 ], namely (1) difficulties identifying one’s own feelings (DIF) (seven items) and (2) difficulties in describing one’s own feelings (DDF) (five items). As recommended by previous research, we combined these subscales into one sum scored scale [ 32 , 33 , 34 , 35 , 36 ]. Since the third subscale, externally-oriented thinking (EOT), showed low reliability in previous research and previous research revealed that alexithymia can be reliable measured among adolescents without using the EOT subscale [ 32 , 36 ] we did not measure this subscale in the current study.…”

Section: Methodsmentioning

confidence: 99%

“…As recommended by previous research, we combined these subscales into one sum scored scale [ 32 , 33 , 34 , 35 , 36 ]. Since the third subscale, externally-oriented thinking (EOT), showed low reliability in previous research and previous research revealed that alexithymia can be reliable measured among adolescents without using the EOT subscale [ 32 , 36 ] we did not measure this subscale in the current study. To measure DIF and DDF, participants were asked to rate to what extent they agreed with statements such as “It is difficult for me to reveal my innermost feelings, even to close friends” or “It is difficult for me to find the right words for my feelings” on a five-point Likert scale, ranging from “strongly disagree” (=1) to “strongly agree” (=5).…”

Section: Methodsmentioning

confidence: 99%

Do Emotional Components of Alexithymia Mediate the Interplay between Cyberbullying Victimization and Perpetration?

Wachs

Bilz

Fischer

et al. 2017

IJERPH

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A substantial amount of research has revealed that cyberbully-victims have more emotional and behavioral problems than either cyberbullying victims or perpetrators. However, until now, little research has been conducted into the factors that contribute to the interplay between cyberbullying victimization and perpetration. The purpose of this study was to examine the relationship between cyberbullying victimization, perpetration, and two emotional components of alexithymia, namely difficulties in identifying and describing one’s own feelings. Self-report questions were administered to 1549 adolescents between 12 and 18 years old (M = 14.51; SD = 1.68; 42.1% (n = 652) male) from Germany and Thailand. Results showed that cyberbullying victimization and alexithymia are associated with cyberbullying perpetration. Moreover, alexithymia mediated the associations between cyberbullying victimization and adolescents’ cyberbullying perpetration. Consequently, we suggest that the ability to describe and identify one’s own feelings might be important for understanding the link between cyberbullying, victimization, and perpetration. The results may help develop prevention and intervention programs focused on reducing cyberbullying.

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“…Exclusion criteria for participation included children diagnosed with psychiatric disorder, intellectual disability, or a pervasive developmental disorder. A detailed description of the study can be found elsewhere ( Gao et al, 2015 , 2016 ; Fagan et al, 2017 ).…”

Section: Methodsmentioning

confidence: 99%

Respiratory Sinus Arrhythmia Activity Predicts Internalizing and Externalizing Behaviors in Non-referred Boys

2017

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Atypical respiratory sinus arrhythmia (RSA), a biomarker of emotion dysregulation, is associated with both externalizing and internalizing behaviors. In addition, social adversity and gender may moderate this association. In this study, we investigated if RSA (both resting RSA and RSA reactivity in an emotion regulation task) predicts externalizing and/or internalizing behaviors and the extent to which social adversity moderates this relationship. Two hundred and fifty-three children (at Time 1, mean age = 9.05, SD = 0.60, 48% boys) and their caregivers from the community participated in this study. Resting RSA and RSA reactivity were assessed, and caregivers reported children’s externalizing and internalizing behaviors at both Time 1 and Time 2 (1 year later). We found that lower resting RSA (but not RSA reactivity) at Time 1 was associated with increased externalizing and internalizing behaviors at Time 2 in boys, even after controlling for the effects of Time 1 behavioral problems and Time 2 age. Moreover, there was a significant interaction effect between Time 1 resting RSA and social adversity such that lower resting RSA predicted higher externalizing and internalizing behaviors in boys only under conditions of high social adversity. Follow-up analyses revealed that these predictive effects were stronger for externalizing behavior than for internalizing behavior. No significant effects were found for girls. Our findings provide further evidence that low resting RSA may be a transdiagnostic biomarker of emotion dysregulation and a predisposing risk factor for both types of behavior problems, in particular for boys who grow up in adverse environments. We conclude that biosocial interaction effects and gender differences should be considered when examining the etiological mechanisms of child psychopathology.

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Interaction between Prenatal Maternal Stress and Autonomic Arousal in Predicting Conduct Problems and Psychopathic Traits in Children

Cited by 44 publications

References 56 publications

Network models of DSM–5 posttraumatic stress disorder: Implications for ICD–11.

Network models of DSM–5 posttraumatic stress disorder: Implications for ICD–11.

Do Emotional Components of Alexithymia Mediate the Interplay between Cyberbullying Victimization and Perpetration?

Respiratory Sinus Arrhythmia Activity Predicts Internalizing and Externalizing Behaviors in Non-referred Boys

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