Racial and Economic Adversity Differences in Stress Markers and Immune Function Among Urban Adolescents

Adolescent sources of stress, stress levels, and associations between stress and changes in weight outcomes at the time of COVID-19 related school closure in March 2020

Objective

Stress is associated with weight changes, yet how level and sources of stress relate to this association is poorly understood. This mixed methods study examined associations between adolescent stress at the COVID-19 pandemic onset and standardized BMI (BMIz) over a three-month period. Methods: Participants (N = 197, mean age 13.66 ± 1.43 years, 85% Hispanic, 56% female) were recruited from a charter school in Texas to participate in a healthy lifestyle intervention during physical education class. We calculated BMIz using height and weight measurements taken December 2019 and the week of COVID-19 school closures in March 2020. We measured stress in March 2020 with the 4-item Perceived Stress Scale. We ran a multiple linear regression model controlling for baseline BMIz (December 2019), age, sex, intervention condition, and assessed the interaction between baseline BMIz and PSS-4 score on BMIz change.

Results

Overall, our sample had an average PSS-4 score of seven and mean BMIz decrease of 0.04 over the three-month period. We observed a significant interaction between PSS-4 score and baseline BMIz. At lower baseline BMIz scores, higher PSS-4 scores were associated with decreases in BMIz over time. There was no significant association at higher baseline BMIz scores. COVID-19 pandemic-related concerns and school performance were the two primary stressors reported.

Conclusions

The relation between stress and weight changes differed based on starting weight status. Future interventions should consider the influence of external stressors on intervention adherence and outcomes.

Impact of exposure to air pollution on cervicovaginal microbial communities

PURPOSE

Vaginal microbial communities can be dominated by anaerobic (community state type IV, CST IV) or Lactobacillus (other CSTs) species. CST IV is a risk factor for spontaneous preterm birth (sPTB) and is more common among Black than White populations. In the US, average air pollution exposures are higher among Black compared to White people and exert systemic health effects. We sought to (1) quantify associations of air pollution, specifically particulate matter <2.5 μm in diameter (PM2.5), with CST IV and (2) explore the extent to which racial disparities in PM2.5 exposure might explain racial differences in the prevalence of CST IV.

DESIGN

Methods: We performed a secondary analysis of 566 participants of the Motherhood & Microbiome study. PM2.5 exposures were derived from a machine learning model integrating NASA satellite and EPA ground monitor data. Previously, cervicovaginal swabs from 15 to 20 weeks' gestation were analyzed using 16 S rRNA sequencing and hierarchical clustering assigned CSTs. Multivariable logistic regression models calculated adjusted odds ratios of CST IV (vs. other CSTs) per interquartile range (IQR) increment of PM2.5. Race-stratified and mediation analyses were performed.

RESULTS

Higher PM2.5 exposure was associated with CST IV (aOR 1.39, 95% CI 1.02-1.91). Further adjustment for race/ethnicity attenuated the association (aOR 1.34, 95% CI: 0.97-1.83). Black participants (vs. White) had higher median PM2.5 exposure (10.6 vs. 9.6 μg/m3, P < 0.001) and higher prevalence of CST IV (47% vs. 11%, P < 0.001). Mediation analysis revealed that higher PM2.5 exposure may explain 3.9% (P = 0.038) and 3.3% (P = 0.15) of the Black-White disparity in CST IV in unadjusted and adjusted models, respectively.

CONCLUSION

PM2.5 was associated with CST IV, a risk factor for sPTB. Additionally, PM2.5 exposure may partially explain racial differences in the prevalence of CST IV. Further research is warranted to discover how environmental exposures affect microbial composition and perpetuate racial health disparities.

Associations of depression and anxiety and adolescent telomere length

BACKGROUND

Telomere length (TL), a biomarker of cellular aging, is influenced by adverse life experiences. Although depression and anxiety are associated with shorter TL in adults, the relationship in younger ages has received little attention. We examined relationships between depression and anxiety diagnoses and symptomatology and TL in adolescence, an important developmental window for early intervention. Sex differences in relationships were also examined.

METHODS

Wave 1 survey and TL data from the Adolescent Health and Development in Context study were analyzed (N = 995). Depression and anxiety diagnosis were parent-reported measures categorized as: current diagnosis, prior diagnosis, and never diagnosed (reference category). Depressive symptoms were measured via adolescent-report using nine items from the Center for Epidemiologic Studies-Depression scale, short form. Anxiety symptoms were measured via adolescent-report using eight items from the pediatric anxiety scale obtained from the Patient-Reported Outcomes Measurement Information System. Genomic DNA was isolated from 500 μL saliva via ethanol precipitation. Genomic DNA TL was assessed using monoplexed quantitative polymerase chain reactions. Relative T/S quantities were calculated in accordance with established procedures. Covariates included sociodemographic factors (sex, age, race/ethnicity, caregiver marital status and education level, and household income), pubertal development, and season of collection. Descriptive and multivariable linear regression analyses were conducted, including an examination of sex as a moderator in the relationships between depression, anxiety, and TL.

RESULTS

In multivariable analysis, adolescents with a current depression diagnosis (b = -0.26, p < .05), but not a prior diagnosis (b =0.05, p > .05) had shorter TL than those who were never diagnosed; higher depressive symptom scores were associated with shorter TL (b = -0.12, p < .05). No significant associations were found between anxiety diagnosis and TL; however, higher anxiety symptom scores were associated with shorter TL (b = -0.14, p < .01). Sex did not significantly moderate any of the relationships between depression, anxiety and TL.

CONCLUSIONS

Depression and anxiety were associated with shorter TL in this diverse community sample of adolescents and the findings highlight the potential for impaired mental health to contribute to cellular senescence as early as adolescence. Prospective research on the long-term effect of depression and anxiety occurring earlier in the life span on TL over time is needed, including examination of potential mechanisms that may accelerate or buffer the negative effects of impaired mental health on TL.

Dyadic Hair Cortisol Self-Collection Procedure

BACKGROUND

At-home self-collection of specimens has become more commonplace because of measures taken in response to the coronavirus pandemic. Self-collection of hair cortisol is important because chronic stress is present in many populations, such as older adults living with Alzheimer's disease and their family caregivers. For the evaluation of chronic stress, scalp hair can be used as a predictive biomarker because it examines the cumulative, retrospective stress from previous months.

OBJECTIVES

The aim of the paper is to provide a study procedure for at-home, scalp hair self-collection for cortisol concentration analysis from dyads consisting of a person living with Alzheimer's disease and their family caregiver.

METHODS

After informed electronic consent is obtained, a package containing the necessary tools for self-collection of hair samples from the dyad is mailed to the participant's home. Participants are provided detailed print and video multimedia guides outlining how to obtain the hair samples. Ideally, the hair samples are obtained during the virtual data collection meeting with research personnel. Participants mail back the hair sample in a prepaid package to the biomedical laboratory for analysis.

DISCUSSION

At-home, self-collection of hair provides potential advantages such as reduced participant burden, especially for vulnerable populations where transportation and different environments are challenging. At-home sample collection options may increase research participation and can be applied to multiple research foci. Research considerations for dyads, such as people living with Alzheimer's disease and their caregivers, are discussed.

Everyday perceptions of safety and racial disparities in hair cortisol concentration

OBJECTIVE

Black-White disparities in physiological stress during adolescence are increasingly evident but remain incompletely understood. We examine the role of real-time perceptions of safety in the context of everyday routines to gain insight into the sources of observed adolescent racial differences in chronic stress as measured by hair cortisol concentration (HCC).

METHOD

We combined social survey, ecological momentary assessment (EMA), and hair cortisol data on 690 Black and White youth ages 11-17 from wave 1 of the Adolescent Health and Development in Context (AHDC) study to investigate racial differences in physiological stress. Individual-level, reliability-adjusted measures of perceived unsafety outside the home were drawn from a week-long smartphone-based EMA and tested for association with hair cortisol concentration.

RESULTS

We observed a statistically significant interaction (p < .05) between race and perceptions of unsafety. For Black youth, perceived unsafety was associated with higher HCC (p < .05). We observed no evidence of an association between perceptions of safety and expected HCC for White youth. For youth who perceive their out-of-home activity locations to be consistently safe, the racial difference in expected HCC was not statistically significant. At the high end of perceived unsafety, however, Black-White differences in HCC were pronounced (0.75 standard deviations at the 95th percentile on perceived unsafety; p < .001).

DISCUSSION

These findings call attention to the role of everyday perceptions of safety across non-home routine activity contexts in explaining race differences in chronic stress as assessed by hair cortisol concentrations. Future research may benefit from data on in situ experiences to capture disparities in psychological and physiological stress.

Capturing the dynamic nature of stress exposure in the Pittsburgh Girls Study

Background

The science of stress exposure and health in humans has been hampered by differences in operational definitions of exposures and approaches to defining timing, leading to results that lack consistency and specificity. In the present study we aim to empirically derive variability in type, timing and chronicity of stress exposure for Black and White females using prospectively collected data in the Pittsburgh Girls Study (PGS).

Methods

The PGS is an ongoing 20-year longitudinal, community-based study. In this paper we focused on annual caregiver reports of three domains of stress: subsistence (e.g., resource strain, overcrowding); safety (e.g., community violence, inter-adult aggression), and caregiving (e.g., separation, maternal depression) from early childhood through adolescence. Z-scores were used to conduct a finite mixture model-based latent class trajectory analysis. Model fit was compared using the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). We examined differences in timing and chronicity of stress exposure between Black and White girls.

Results

Distinct trajectory groups characterized by differential timing and chronicity of stress exposure were observed across all stress domains. Six trajectories characterized subsistence and safety stress, and five characterized caregiving stress. Variability in initial level, chronicity, and magnitude and timing of change was observed within and across domains of stressors. Race differences also varied across the domains: race differences in timing and chronicity were most pronounced for the subsistence and safety domains, whereas Black and White girls had similar levels of exposure to caregiving stress.

Conclusions

Substantial variability in timing and chronicity was observed within and across stress domains. Modeling specific domains and dimensions of stress exposure is likely important in testing associations between exposure and health; such specificity may lead to more effective deployment of preventive interventions based on stress exposure.

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Distinct trajectories in exposure were observed for subsistence, safety, and caregiving stress domains.

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Race differences in timing and chronicity of exposure were pronounced for subsistence and safety domains.

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Patterns of exposure (e.g., level, timing) are likely critical for understanding the impact on stress exposure on health.