Chronic Stress in Vocational and Intimate Partner Domains as Predictors of Depressive Symptoms After Breast Cancer Diagnosis.

BackgroundAfter cancer diagnosis, depressive symptoms are elevated on average and decline over time, but substantial variability is apparent. Few studies have examined to what extent chronic stress in distinct life domains affects depressive symptoms.PurposeChronic stress in vocational and intimate partner life domains, and their interaction, were tested as predictors of depressive symptoms after breast cancer diagnosis.MethodsWomen (N = 460) completed validated interviews regarding chronic stress in specific life domains shortly after diagnosis and a measure of depressive symptoms every 6 weeks for 6 months.ResultsIn latent growth curve modeling analyses, greater chronic stress in work (b = 2.90; p < .001) and intimate partner domains (b = 1.38, p = .02) was associated with higher depressive symptoms at study entry (intercept), and greater work stress predicted faster recovery from depressive symptoms over time (b = -0.10; p = .01). The two domains of chronic stress also interacted significantly on depressive symptoms at study entry (b = -1.54; p < .02) and over time (b = 0.14; p < .001). Greater work stress was associated with higher depressive symptoms at study entry regardless of intimate partner stress, but greater intimate partner stress was associated with higher depressive symptoms when work stress was low. The decline over 6 months in initially elevated depressive symptoms predicted by high work stress was significantly steeper when intimate partner stress was low.ConclusionsTargeting interventions to recently diagnosed breast cancer patients living with chronically stressful vocational and intimate partner life circumstances could be worthwhile

Second trimester inflammatory and metabolic markers in women delivering preterm with and without preeclampsia.

ObjectiveInflammatory and metabolic pathways are implicated in preterm birth and preeclampsia. However, studies rarely compare second trimester inflammatory and metabolic markers between women who deliver preterm with and without preeclampsia.Study designA sample of 129 women (43 with preeclampsia) with preterm delivery was obtained from an existing population-based birth cohort. Banked second trimester serum samples were assayed for 267 inflammatory and metabolic markers. Backwards-stepwise logistic regression models were used to calculate odds ratios.ResultsHigher 5-α-pregnan-3β,20α-diol disulfate, and lower 1-linoleoylglycerophosphoethanolamine and octadecanedioate, predicted increased odds of preeclampsia.ConclusionsAmong women with preterm births, those who developed preeclampsia differed with respect metabolic markers. These findings point to potential etiologic underpinnings for preeclampsia as a precursor to preterm birth

Cross-Sectional Study Protocol for the COVID-19 Impact Survey of Mothers and Their 7–11 Year Old Children in Alberta, Canada

Objectives: Our aim is to understand the effect of the COVID-19 pandemic on families who have been followed longitudinally in two cohorts studied in Alberta, Canada. We will examine household infections during the COVID-19 pandemic, financial impact, domestic violence, substance use, child school and daily life and relationships in the home. We will identify risk and protective factors for maternal mental health outcomes using longitudinal data that can inform policy and government resource allocation in future disasters.Methods: Mothers who are currently participating in two longitudinal studies, Alberta Pregnancy Outcomes and Nutrition (APrON; N = 1,800) and All Our Families (AOF: N = 2,534) were eligible to participate. Mothers were invited to complete the baseline COVID-19 Impact Survey (20–30 min) within 4 months of March 15, 2020, which was when the province of Alberta, Canada, implemented school closures and physical-distancing measures to prevent the spread of COVID-19. Mothers were asked to report on their own, their child's and their family's functioning. Mothers were re-surveyed at 6 months after completion of the initial COVID-19 Impact Survey, and will be re-surveyed again at 12 months.Results: Responses from participants in both cohorts will be examined in harmonized analyses as well as separately. Descriptive, multivariable analysis will be undertaken to examine risk and resiliency over time and factors that predict mental health and well-being.Conclusions: This study will provide timely information on the impact of COVID-19 for Albertan families. It will identify risk and protective factors for mental health and well-being among contemporary urban families supported by a publicly funded health care system to inform allocation of resources to support those most vulnerable during a global pandemic