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1. Childhood adversity during the post‐apartheid transition and COVID ‐19 stress independently predict adult PTSD risk in urban S outh A frica: A biocultural analysis of the stress sensitization hypothesis

   https://doi.org/10.1002/ajpa.24791  

   Kim, Andrew Wooyoung; Said Mohamed, Rihlat; Norris, Shane A.; Naicker, Sara; Richter, Linda M.; Kuzawa, Christopher W. (June 2023, American Journal of Biological Anthropology)

   Abstract ObjectivesThe COVID‐19 pandemic in South Africa introduced new societal adversities and mental health threats in a country where one in three individuals are expected to develop a psychiatric condition sometime in their life. Scientists have suggested that psychosocial stress and trauma during childhood may increase one's vulnerability to the mental health consequences of future stressors—a process known as stress sensitization. This prospective analysis assessed whether childhood adversity experienced among South African children across the first 18 years of life, coinciding with the post‐apartheid transition, exacerbates the mental health impacts of psychosocial stress experienced during the 2019 coronavirus (COVID‐19) pandemic (ca. 2020–2021). Materials and MethodsData came from 88 adults who participated in a follow‐up study of a longitudinal birth cohort study in Soweto, South Africa. Childhood adversity and COVID‐19 psychosocial stress were assessed as primary predictors of adult PTSD risk, and an interaction term between childhood adversity and COVID‐19 stress was calculated to evaluate the potential effect of stress sensitization. ResultsFifty‐six percent of adults exhibited moderate‐to‐severe PTSD symptoms. Greater childhood adversity and higher COVID‐19 psychosocial stress independently predicted worse post‐traumatic stress disorder symptoms in adults. Adults who reported greater childhood adversity exhibited non‐significantly worse PTSD symptoms from COVID‐19 psychosocial stress. DiscussionThese results highlight the deleterious mental health effects of both childhood trauma and COVID‐19 psychosocial stress in our sample and emphasize the need for greater and more accessible mental health support as the pandemic progresses in South Africa. 

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2. Pre-pandemic mental health and brain characteristics predict adolescent stress and emotions during the COVID-19 pandemic

   https://doi.org/10.1371/journal.pone.0334028  

   Risner, Matthew; Hu, Linfeng; Stamoulis, Catherine (October 2025, PLOS One)

   Seyedmirzaei, Homa (Ed.)

   The COVID-19 pandemic had profound effects on developing adolescents that, to date, remain incompletely understood. Youth with preexisting mental health problems and associated brain alterations were at increased risk for higher stress and poor mental health. This study investigated impacts of adolescent pre-pandemic mental health problems and their neural correlates on stress, negative emotions and poor mental health during the first 15 months of the COVID-19 pandemic. N = 2,641 adolescents (median age = 12.0 years) from the Adolescent Brain Cognitive Development (ABCD) cohort were studied, who had pre-pandemic data on anxiety, depression, and behavioral (attention, aggression, social withdrawal, internalizing, externalizing) problems, longitudinal survey data on mental health, stress and emotions during the first 15 months following the outbreak, structural MRI, and resting-state fMRI. Data were analyzed using mixed effects mediation and moderation models. Preexisting mental health and behavioral problems predicted higher stress, negative affect and negative emotions (β = 0.09–0.21, CI=[0.03,0.32]), and lower positive affect (β = −0.21 to −0.09, CI=[−0.31,-0.01]) during the first ~6 months of the outbreak. Pre-pandemic structural characteristics of brain regions supporting social function and emotional processing (insula, superior temporal gyrus, orbitofrontal cortex, and the cerebellum) mediated some of these relationships (β = 0.10–0.15, CI=[0.01,0.24]). The organization of pre-pandemic brain circuits moderated (attenuated) associations between preexisting mental health and pandemic stress and negative emotions (β = −0.17 to −0.06, CI=[−0.27,-0.01]). Preexisting mental health problems and their structural brain correlates were risk factors for youth stress and negative emotions during the early months of the outbreak. In addition, the organization of some brain circuits was protective and attenuated the effects of preexisting mental health issues on youth responses to the pandemic’s stressors. 

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3. Associations between Maternal Psychosocial Stress, DNA Methylation, and Newborn Birth Weight Identified by Investigating Methylation at Individual, Regional, and Genome Levels

   https://doi.org/10.13110  

   Clukay, Chris J; Hughes, David A; Kertes, Darlene A; Mulligan, Connie J (April 2019, Human biology)

   null (Ed.)

   Stress is known to affect health throughout life and into future generations, but the underlying molecular mechanisms are unknown. We tested the hypothesis that maternal psychosocial stress influences DNA methylation (DNAm), which in turn impacts newborn health outcomes. Specifically, we analyzed DNAm at individual, regional, and genome-wide levels to test for associations with maternal stress and newborn birth weight. Maternal venous blood and newborn cord blood (n = 24 and 22, respectively) were assayed for methylation at ∼450,000 CpG sites. Methylation was analyzed by examining CpG sites individually in an epigenome-wide association study (EWAS), as regional groups using variably methylated region (VMR) analysis in maternal blood only, and through the epigenome-wide measures using genome-wide mean methylation (GMM), Horvath's epigenetic clock, and mitotic age. These methylation measures were tested for association with three measures of maternal stress (maternal war trauma, chronic stress, and experience of sexual violence) and one health outcome (newborn birth weight). We observed that maternal experiences of war trauma, chronic stress, and sexual assault were each associated with decreased newborn birth weight (p < 1.95 × 10-7 in all cases). Testing individual CpG sites using EWAS, we observed no associations between DNAm and any measure of maternal stress or newborn birth weight in either maternal or cord blood, after Bonferroni multiple testing correction. However, the top-ranked CpG site in maternal blood that associated with maternal chronic stress and sexual violence before multiple testing correction is located near the SPON1 gene. Testing at a regional level, we found increased methylation of a VMR in maternal blood near SPON1 that was associated with chronic stress and sexual violence after Bonferroni multiple testing correction (p = 1.95 × 10-7 and 8.3 × 10-6, respectively). At the epigenomic level, cord blood GMM was associated with significantly higher levels of war trauma (p = 0.025) and was suggestively associated with sexual violence (p = 0.053). The other two epigenome-wide measures were not associated with maternal stress or newborn birth weight in either tissue type. Despite our small sample size, we identified associations even after conservative multiple testing correction. Specifically, we found associations between DNAm and the three measures of maternal stress across both tissues; specifically, a VMR in maternal blood and GMM in cord blood were both associated with different measures of maternal stress. The association of cord blood GMM, but not maternal blood GMM, with maternal stress may suggest different responses to stress in mother and newborn. It is noteworthy that we found associations only when CpG sites were analyzed in aggregate, either as VMRs or as a broad summary measure of GMM. 

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4. Detecting Clinically Relevant Emotional Distress and Functional Impairment in Children and Adolescents: Protocol for an Automated Speech Analysis Algorithm Development Study

   https://doi.org/10.2196/46970  

   Alemu, Yared; Chen, Hua; Duan, Chenghao; Caulley, Desmond; Arriaga, Rosa I; Sezgin, Emre (January 2023, JMIR Research Protocols)

   Background Even before the onset of the COVID-19 pandemic, children and adolescents were experiencing a mental health crisis, partly due to a lack of quality mental health services. The rate of suicide for Black youth has increased by 80%. By 2025, the health care system will be short of 225,000 therapists, further exacerbating the current crisis. Therefore, it is of utmost importance for providers, schools, youth mental health, and pediatric medical providers to integrate innovation in digital mental health to identify problems proactively and rapidly for effective collaboration with other health care providers. Such approaches can help identify robust, reproducible, and generalizable predictors and digital biomarkers of treatment response in psychiatry. Among the multitude of digital innovations to identify a biomarker for psychiatric diseases currently, as part of the macrolevel digital health transformation, speech stands out as an attractive candidate with features such as affordability, noninvasive, and nonintrusive. Objective The protocol aims to develop speech-emotion recognition algorithms leveraging artificial intelligence/machine learning, which can establish a link between trauma, stress, and voice types, including disrupting speech-based characteristics, and detect clinically relevant emotional distress and functional impairments in children and adolescents. Methods Informed by theoretical foundations (the Theory of Psychological Trauma Biomarkers and Archetypal Voice Categories), we developed our methodology to focus on 5 emotions: anger, happiness, fear, neutral, and sadness. Participants will be recruited from 2 local mental health centers that serve urban youths. Speech samples, along with responses to the Symptom and Functioning Severity Scale, Patient Health Questionnaire 9, and Adverse Childhood Experiences scales, will be collected using an Android mobile app. Our model development pipeline is informed by Gaussian mixture model (GMM), recurrent neural network, and long short-term memory. Results We tested our model with a public data set. The GMM with 128 clusters showed an evenly distributed accuracy across all 5 emotions. Using utterance-level features, GMM achieved an accuracy of 79.15% overall, while frame selection increased accuracy to 85.35%. This demonstrates that GMM is a robust model for emotion classification of all 5 emotions and that emotion frame selection enhances accuracy, which is significant for scientific evaluation. Recruitment and data collection for the study were initiated in August 2021 and are currently underway. The study results are likely to be available and published in 2024. Conclusions This study contributes to the literature as it addresses the need for speech-focused digital health tools to detect clinically relevant emotional distress and functional impairments in children and adolescents. The preliminary results show that our algorithm has the potential to improve outcomes. The findings will contribute to the broader digital health transformation. International Registered Report Identifier (IRRID) DERR1-10.2196/46970 

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5. Discrimination and Cardiovascular Health in Black Americans: Exploring Inflammation as a Mechanism and Perceived Control as a Protective Factor

   https://doi.org/10.1097/PSY.0000000000001300  

   Merritt, Carrington C; Muscatell, Keely A (April 2024, Psychosomatic Medicine)

   ABSTRACT ObjectiveInflammation may be an integral physiological mechanism through which discrimination impacts cardiovascular health and contributes to racial health disparities. Limited research has examined psychosocial factors that protect against the negative effects of discrimination on inflammation. Perceived control is a promising possible protective factor, given that it has been shown to moderate the relationship between other psychosocial stressors and physiological outcomes. This study thus tested whether systemic inflammation mediated the link between discrimination and cardiovascular health and whether perceived control moderated this relationship. MethodsData for this project included 347 non-Hispanic/Latinx Black adults (mean [standard deviation] age = 51.64 [11.24] years; 33% female) taken from the Midlife in the United States study. Perceived control and daily discrimination were assessed via self-report, and inflammation was measured via circulating levels of C-reactive protein (CRP), interleukin-6 (IL-6), fibrinogen, and tumor necrosis factor α. Cardiovascular health was measured by morbidity of cardiovascular conditions: heart disease, hypertension, and/or stroke. ResultsCRP (indirect effect:b =0.004, 95% confidence interval [CI] = 0.001–0.007) and fibrinogen (indirect effect:b =0.002, 95% CI = 0.0003–0.005) mediated the link between discrimination and cardiovascular conditions. Perceived control moderated the relationship between discrimination and CRP (F(1, 293) = 4.58, ΔR²= 0.013,b= −0.02, SE = 0.01,p= .033). CRP mediated the link between discrimination and cardiovascular conditions only for those who reported low levels of perceived control (Index = −0.003, 95% CI = −0.007 to −0.0001). ConclusionFindings provide empirical evidence of inflammation as a mechanism linking discrimination to cardiovascular conditions among Black Americans. Additionally, perceived control may be protective. Findings could suggest beliefs about control as a potential intervention target to help reduce the negative effects of discrimination on cardiovascular health among Black Americans. 

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