The role of stressful life events on the cortisol reactivity patterns of breast cancer survivors

Postpartum symptoms of anxiety, depression and stress: differential relationships to women's cortisol profiles

PURPOSE

Women are at high risk of stress, anxiety, and depression during the postpartum but the ways in which these different types of psychological distress are related to cortisol regulation is not clear. We examined the distinct association of each type of distress with women's average cortisol level, cortisol awakening response (CAR), cortisol decline across the day (diurnal slope), and overall amount of cortisol secretion across the day (AUCG).

METHODS

At 6 months postpartum, a diverse group of 58 women completed measures of depression, anxiety, perceived stress, and life stressors. Each woman provided 4 salivary samples for cortisol assay from waking to bedtime on each of 2 consecutive days. Linear regressions were used to examine associations of stress, anxiety and depression to each of the 4 cortisol measures, controlling for number of stressful life events.

RESULTS

Depressive symptoms were associated with less of a rise in the CAR (β = -.46, p = 0.01), steeper diurnal slope (β = .51, p = 0.006), and higher average cortisol level (β = .42, p = .01). Women who met the clinical cutoff for an anxiety disorder had lower overall cortisol output (β = -.29, p = 0.03). Stress was not related to any cortisol metric.

CONCLUSIONS

Findings suggest that stress is less associated with cortisol alterations in the postpartum than are more severe types of psychological distress. Anxiety and depression may have distinct and opposite profiles of cortisol dysregulation. Results indicate that mental health assessment is critical even in the later postpartum so that interventions can be initiated to reduce emotional suffering and the risk of impaired cortisol regulation.

The differential calibration of the HPA axis as a function of trauma versus adversity: A systematic review and p-curve meta-analyses

Although there is an abundance of evidence linking the function of the hypothalamic-pituitary-adrenal (HPA) axis to adverse early-life experiences, the precise nature of the association remains unclear. Some evidence suggests early-life adversity leads to cortisol hyper-reactivity, while other evidence suggests adversity leads to cortisol hypo-reactivity. Here, we distinguish between trauma and adversity, and use p-curves to interrogate the conflicting literature. In Study 1, trauma was operationalized according to DSM-5 criteria; the p-curve analysis included 68 articles and revealed that the literature reporting associations between trauma and blunted cortisol reactivity contains evidential value. Study 2 examined the relationship between adversity and cortisol reactivity. Thirty articles were included in the analysis, and p-curve demonstrated that adversity is related to heightened cortisol reactivity. These results support an inverted U-shaped function relating severity of adversity and cortisol reactivity, and underscore the importance of distinguishing between "trauma" and "adversity".

The role of coping in the relationship between stressful life events and quality of life in persons with cancer

OBJECTIVE

Stressful life events (SLEs) impact the quality of life (QOL) of cancer patients. This study investigated the mediation of the relationship between SLEs and QOL (Model 1: Emotional-EQOL and Model 2: Physical/Functional-PFQOL by three types of coping: Action/Planning, Support/Advise-Seeking, and Disengagement/Denial). Design and Main Measures: 662 persons with cancer completed a Stressful Life Events Checklist, the Brief COPE scale, the FACT Emotional, Physical, and Functional Scales, and the Physical Impact Scale of the Sickness Impact Profile.

RESULTS

SLEs were positively associated with Action/Planning (Model 1: B = 0.195, 95% CI = [0.089, 0.304]; Model 2: B = 0.192, 95% CI = [0.086, 0.289]) and Disengagement/Denial (Model 1: B = 0.394, 95% CI = [0.281, 0.513]; Model 2: B = .392, 95% CI = [0.285, 0.508]) but not Support/Advice-Seeking; however, only Disengagement/Denial was related to Emotional-QOL (Model 1: B = -0.659, 95% CI = [-0.848, -0.498]) and Physical/Functional-QOL (Model 2: B = -1.460, 95% CI = [-1.856, -1.069]). Thus, only Disengagement/Denial mediated the relationship between SLEs and QOL.

CONCLUSIONS

The results indicated that SLEs represent a class of events for which there may be only one dominant coping response, disengagement. SLEs may not be controllable or predictable and reduce capacity for active coping with serious illness. However, SLEs may be detected at any point in the cancer trajectory so that supportive services might be provided.