Migraine and the risk of post-traumatic stress disorder among a cohort of pregnant women

Exploring the Causal Relationship Between Migraine and Insomnia Through Bidirectional Two-Sample Mendelian Randomization: A Bidirectional Causal Relationship

Introduction

The intricate relationship between migraine and insomnia has been a subject of great interest due to its complex mechanisms. Despite extensive research, understanding the causal link between these conditions remains a challenge.

Material and Methods

This study employs a bidirectional Mendelian randomization approach to investigate the causal relationship between migraine and insomnia. Risk loci for both conditions were derived from large-scale Genome-Wide Association Studies (GWAS). The primary method of Mendelian Randomization utilized in this study is the Inverse Variance Weighted (IVW) method.

Results

Our findings indicate a bidirectional causal relationship between migraine and insomnia. In the discovery set, migraine had a significant effect on insomnia (OR=1.02, 95% CI=1.02 (1.01-1.03), PIVW=5.30E-04). However, this effect was not confirmed in the validation set (OR=1.03, 95% CI=1.03 (0.87-1.21), PIVW=0.77). Insomnia also had a significant effect on migraine (OR=1.02, 95% CI=1.02 (0.01-1.03), PIVW=2.67E-08), and this effect was validated in the validation set (OR=2.30, 95% CI=2.30 (1.60-3.30), PIVW=5.78E-06).

Conclusion

This study provides meaningful insights into the bidirectional causality between migraine and insomnia, highlighting a complex interplay between these conditions. While our findings advance the understanding of the relationship between migraine and insomnia, they also open up new avenues for further research. The results underscore the need for considering both conditions in clinical and therapeutic strategies.

Poor sleep Quality and Obstructive Sleep Apnea are Associated with Maternal Mood, and Anxiety Disorders in Pregnancy

BACKGROUND

Previous studies suggest sleep quality and obstructive sleep apnea (OSA) may be associated with psychiatric symptoms, including depression, anxiety, and posttraumatic stress disorder (PTSD). However, few studies have examined the relationship between sleep quality and OSA with maternal psychiatric symptoms during pregnancy, a state of vulnerability to these disorders.

OBJECTIVE

The objective of our study is to examine the association between poor sleep quality and sleep apnea with antepartum depression, anxiety, and PTSD among pregnant women.

METHODS

A cross-sectional study was conducted among women seeking prenatal care in Lima, Peru. Sleep quality was measured using the Pittsburgh Sleep Quality Index, and the Berlin questionnaire was used to identify women at high risk for OSA. Depression, generalized anxiety, and PTSD symptoms were measured using the Patient Health Questionnaire-9, Generalized Anxiety Disorder Assessment, and PTSD Checklist - Civilian Version. Multivariate logistic regression procedures were used to estimate adjusted odds ratios (aOR) and 95% confidence intervals (95% CI).

RESULTS

Approximately 29.0X% of women had poor sleep quality, and 6.2% were at high risk for OSA. The prevalence of psychiatric symptoms was high in this cohort with 25.1%, 32.5%, and 30.9% of women reporting symptoms of antepartum depression, antepartum anxiety, and PTSD, respectively. Women with poor sleep quality had higher odds of antepartum depression (aOR = 3.28; 95%CI: 2.64-4.07), generalized anxiety (aOR = 1.94; 95%CI: 1.58-2.38), and PTSD symptoms (aOR = 2.81; 95% CI: 2.28-3.46) as compared with women who reported good sleep quality. Women with a high risk of OSA had higher odds of antepartum depression (aOR = 2.36; 95% CI: 1.57-3.56), generalized anxiety (aOR = 2.02, 95% CI: 1.36-3.00), and PTSD symptoms (aOR = 2.14; 95%CI: 1.43-3.21) as compared with those with a low risk of sleep apnea.

CONCLUSIONS

Poor sleep quality and high risk of OSA are associated with antepartum depression, generalized anxiety, and PTSD symptoms among pregnant women. Further characterizations of the associations of these prevalent sleep, mood, and anxiety conditions among pregnant women could aid in evaluating and delivering optimal perinatal care to women with these comorbidities.

Assessment and Management of Posttraumatic Stress Disorder

PURPOSE

The goal of this article is to increase clinicians' understanding of posttraumatic stress disorder (PTSD) and improve skills in assessing risk for and diagnosing PTSD. The importance and sequelae of lifetime trauma burden are discussed, with reference to trends in prevention, early intervention, and treatment.

RECENT FINDINGS

PTSD has different clinical phenotypes, which are reflected in the changes in Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria. PTSD is almost always complicated by comorbidity. Treatment requires a multimodal approach, usually including medication, different therapeutic techniques, and management of comorbidity. Interest is growing in the neurobiology of childhood survivors of trauma, intergenerational transmission of trauma, and long-term impact of trauma on physical health. Mitigation of the risk of PTSD pretrauma in the military and first responders is gaining momentum, given concerns about the cost and disability associated with PTSD. Interest is also growing in screening for PTSD in medical populations, with evidence of improved clinical outcomes. Preliminary research supports the treatment of PTSD with repetitive transcranial magnetic stimulation.

SUMMARY

PTSD is a trauma-related disorder with features of fear and negative thinking about the trauma and the future. Untreated, it leads to ongoing disruption of life due to avoidance, impaired vocational and social functioning, and other symptoms, depending on the phenotype. Despite a theoretical understanding of underlying mechanisms, PTSD remains challenging to treat, although evidence exists for benefit of pharmacologic agents and trauma-focused therapies. A need still remains for treatments that are more effective and efficient, with faster onset.