Mood instability underlies the relationship between impulsivity and internalizing psychopathology

To determine the relationship between the genetic and environmental risk factors for externalizing psychopathology and mental wellbeing, we examined detailed measures of emotional, social and psychological wellbeing, and a history of alcohol-related problems and smoking behavior in the last year in 1,386 individual twins from same-sex pairs from the MIDUS national US sample assessed in 1995. Cholesky decomposition analyses were performed withthe Mx program. The best fit model contained one highly heritable common externalizing psychopathology factor for both substance use/abuse measures, and one strongly heritable common factor for the three wellbeing measures. Genetic and environmental risk factors for externalizing psychopathology were both negatively associated with levels of mental wellbeing and accounted for, respectively, 7% and 21% of its genetic and environmental influences. Adding internalizing psychopathology assessed in the last year to the model, genetic risk factors unique for externalizing psychopathology were now positively related to levels of mental wellbeing, although accounting for only 5% of the genetic variance. Environmental risk factors unique to externalizing psychopathology continued to be negatively associated with mental wellbeing, accounting for 26% of the environmental variance. When both internalizing psychopathology and externalizing psychopathology are associated with mental wellbeing, the strongest risk factors for low mental wellbeing are genetic factors that impact on both internalizing psychopathology and externalizing psychopathology, and environmental factors unique to externalizing psychopathology. In this model, genetic risk factors for externalizing psychopathology predict, albeit weakly, higher levels of mental wellbeing.

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Attempting to disentangle the relationship between impulsivity and longitudinal self-harm: Epidemiological analysis of UK household survey data

International Journal of Social Psychiatry ◽

10.1177/0020764019827986 ◽

2019 ◽

Vol 65 (2) ◽

pp. 114-122 ◽

Cited By ~ 2

Author(s):

Angharad N de Cates ◽

Gennaro Catone ◽

Paul Bebbington ◽

Matthew R Broome

Keyword(s):

Household Survey ◽

Detailed Examination ◽

Epidemiological Analysis ◽

Mood Instability ◽

Adult Psychiatry ◽

Self Harm ◽

Household Survey Data ◽

The Relationship

Background: Impulsivity may be an important risk factor in terms of future self-harm. However, the extent of this, whether it may relate to self-harm that is new in onset and/or repetition of self-harm, and the detail of any interaction with mood instability (MI) and childhood sexual abuse (CSA) requires detailed examination. Aims: We used the 2000 Adult Psychiatry Morbidity Survey and an 18-month follow-up data to test hypotheses relating to the role of impulsivity, CSA and MI in the inception and persistence of self-harm. Methods: We assessed associations of impulsivity with (1) suicidal self-harm (SSH) and (2) non-SSH (NSSH) at baseline and follow-up, controlling for confounders including MI. Finally, we tested whether impulsivity mediated the relationship between CSA and self-harm. Results: A total of 8,580 respondents were assessed at baseline and 2,406 at follow-up as planned. Impulsivity significantly predicted emergence of new NSSH at 18-month follow-up even after adjustment for MI and other confounders. Impulsivity did not significantly predict repetition of NSSH, or repetition or new inception of SSH, even before inclusion of MI in the model. However, the absolute numbers involved were small. Cross-sectionally, impulsivity was a stronger mediator of the link between CSA and SSH (13.1%) than that between CSA and NSSH (4.8%). Conclusion: Impulsivity may increase the risk of future development of NSSH independently of MI, which is clinically important for risk assessment. The involvement of impulsivity in the repetition of self-harm generally appears less certain. However, impulsivity may have a role in SSH in the context of previous CSA.

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The Role of Anxiety Sensitivity in the Relationship Between Emotion Dysregulation and Internalizing Psychopathology Among Trauma-Exposed Inpatient Adolescents

Cognitive Therapy and Research ◽

10.1007/s10608-018-9943-4 ◽

2018 ◽

Vol 42 (6) ◽

pp. 823-831 ◽

Cited By ~ 5

Author(s):

Emma C. Woodward ◽

Andres G. Viana ◽

Elizabeth M. Raines ◽

Abigail E. Hanna ◽

Michael J. Zvolensky

Keyword(s):

Anxiety Sensitivity ◽

Emotion Dysregulation ◽

Internalizing Psychopathology ◽

The Relationship

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Mood instability, depression, and anxiety in pregnancy and adverse neonatal outcomes

BMC Pregnancy and Childbirth ◽

10.1186/s12884-021-04021-y ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Hua Li ◽

Angela Bowen ◽

Rudy Bowen ◽

Nazeem Muhajarine ◽

Lloyd Balbuena

Keyword(s):

Depression Scale ◽

Late Pregnancy ◽

Neonatal Outcomes ◽

Depression And Anxiety ◽

Logistic Regression Models ◽

Mood Instability ◽

Antenatal Depressive Symptoms ◽

Adverse Neonatal Outcomes ◽

The Relationship ◽

In Pregnancy

Abstract Background Antenatal women experience an increased level of mood and anxiety symptoms, which have negative effects on mothers’ mental and physical health as well as the health of their newborns. The relation of maternal depression and anxiety in pregnancy with neonate outcomes is well-studied with inconsistent findings. However, the association between antenatal mood instability (MI) and neonatal outcomes has not been investigated even though antenatal women experience an elevated level of MI. We sought to address this gap and to contribute to the literature about pregnancy neonate outcomes by examining the relationship among antenatal MI, depression, and anxiety and neonatal outcomes. Methods A prospective cohort of women (n = 555) participated in this study at early pregnancy (T1, 17.4 ± 4.9 weeks) and late pregnancy (T2, 30.6 ± 2.7 weeks). The Edinburgh Postnatal Depression Scale (EPDS) was used to assess antenatal depressive symptoms, anxiety was measured by the EPDS anxiety subscale, and mood instability was measured by a visual analogue scale with five questions. These mood states together with stress, social support, as well as lifestyle were also examined in relation to neonatal outcomes using chi-square tests and logistic regression models. Results Mood instability, depression, and anxiety were unrelated to adverse neonatal outcomes. Only primiparous status was associated with small for gestational age after Bonferroni correction. Conclusions We report no associations between antenatal mood symptoms including MI, depression, and anxiety and neonatal outcomes. More studies are required to further explore the relationship between antenatal mood instability, depression, and anxiety and neonatal outcomes.

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