The impact of adverse childhood events on service support and educational outcomes of children who are autistic: A theory-guided analysis using structural equation modeling.

Autistic children who have experienced adverse childhood experiences (ACEs) may have barriers to receiving special education or other developmental services-thus, impacting educational outcomes. Our objective was to model such a pathway using the 2016-2021 National Survey of Children's Health datasets. We extracted data for school outcomes, use of special education and autism-related specialty services and sociodemographic characteristics among autistic children within the data. Associations between sociodemographics and ACEs (categorized as 0, 1-3, and 4+) were tested using design-based X2 tests. We then used structural equation modeling to map the quasi-causal pathways. The sample for our analysis included 4717 autistic children-38.94% were aged 6-10 years, 35.73% of children aged 11-14 years, and 25.32% were between 15 and 17 years-with 88.70% living in metropolitan areas. The X2 showed significant relationships between ACEs and age, ethnoracial groups, and urbanicity among others. The SEM showed ACEs were directly associated with poorer school outcomes (ß = -0.14 (0.04), p = 0.002) and through their inverse relationship with support services (ß = -0.08 (0.04), p = 0.023)- when support services were increased, school outcomes improved (ß = 0.62, p < 0.001). Findings suggested ACEs have a significant direct and indirect impact on school outcomes of autistic children, and 10.76% of children who are autistic have experienced four or more ACEs-which were more likely to occur with severe autism symptomatology and in rural areas. Results highlight the need for communities to recognize the potential long-term impact of ACEs on the academic outcomes of autistic children.

Associations of intimate partner violence and maternal comorbidities: a cross-sectional analysis of the Pregnancy Risk Assessment Monitoring System.

CONTEXT: Intimate partner violence (IPV) occurs when an intimate partner inflicts physical, sexual, and/or emotional assault with coercive control and is a traumatic experience with repercussions that can be exacerbated when a woman is pregnant. While screening for IPV during pregnancy is recommended to occur regardless of risk, less than 50% of pregnant women are screened. OBJECTIVES: Identifying clinical factors commonly associated with IPV during pregnancy may improve screening rates, thus our primary objective was to examine associations between IPV and maternal comorbidities. METHODS: We conducted a cross-sectional analysis of the Pregnancy Risk Assessment Monitoring System (PRAMS) Phase 8 spanning 2016 through 2019. Bivariate and multivariable logistic regression was utilized to calculate adjusted odds ratios (AORs) to determine associations between IPV and diabetes, anxiety, hypertension, depression, asthma, polycystic ovary syndrome (PCOS), and thyroid disease. RESULTS: More than 40% of women experiencing IPV reported a history of depression or anxiety. The occurrence of IPV was higher among women with depression (AOR 3.48, CI 3.14-3.85), anxiety (AOR 2.98, CI 2.64-3.37), hypertension (AOR 1.21, CI 1.02-1.44), and asthma (AOR 1.37; CI 1.17-1.59) than women without those respective conditions, but not among diagnoses of diabetes, PCOS, or thyroid disorders. CONCLUSIONS: Our findings show that pregnant individuals reporting having experienced IPV were more likely to report having certain comorbidities compared to those who did not report experiencing IPV. Given the low rates of screening, knowing clinically relevant associations may increase screening sensitivity among clinicians and, in turn, increase the likelihood that individuals experiencing IPV receive supportive care.

Within Clinic Reliability and Usability of a Voice-Based Amazon Alexa Administration of the Patient Health Questionnaire 9 (PHQ 9).

Over the last two decades, metric-based instruments have garnered popularity in mental health. Self-administered surveys, such as the Patient Health Questionnaire 9 (PHQ 9), have been leveraged to inform treatment practice of Major Depressive Disorder (MDD). The aim of this study was to measure the reliability and usability of a novel voice-based delivery system of the PHQ 9 using Amazon Alexa within a patient population. Forty-one newly admitted patients to a behavioral medicine clinic completed the PHQ 9 at two separate time points (first appointment and one-month follow up). Patients were randomly assigned to a version (voice vs paper) completing the alternate format at the next appointment. Patients additionally completed a 26-item User Experience Questionnaire (UEQ) and open-ended questionnaire at each session. Assessments between PHQ 9 total scores for the Alexa and paper version showed a high degree of reliability (α = .86). Quantitative UEQ results showed significantly higher overall positive attitudes towards the Alexa format with higher subscale scores on attractiveness, stimulation, and novelty. Further qualitative responses supported these findings with 85.7% of participants indicating a willingness to use the device at home. With the benefit of user instruction in a clinical environment, the novel Alexa delivery system was shown to be consistent with the paper version giving evidence of reliability between the two formats. User experience assessments further showed a preference for the novel version over the traditional format. It is our hope that future studies may examine the efficacy of the Alexa format in improving the at-home clinical treatment of depression.

Brief Report: Public Awareness of Asperger Syndrome Following Greta Thunberg Appearances.

Thunberg's increased media attention coupled with her diagnosis-Asperger Syndrome (AS)-may foster help-seeking behaviors among those with similar psychiatric disorders. Using Google Trends data, we compared values of AS from the week of the UN Climate Summit through the end of the year compared to an ARIMA model predicting search interest had Thunberg not been in the media. The search trend for AS at peak was 254.07% higher than predicted and was on average 10.61 points above the projected model during this time. As the primary goal of AS intervention focuses on improving quality of life and preventing common comorbidities such as depression and anxiety, capitalizing on increased public interest in AS and help-seeking behaviors is imperative.