Elsevier

Psychoneuroendocrinology

Volume 109, November 2019, 104376
Psychoneuroendocrinology

Hair cortisol and depressive symptoms in youth: An investigation of curvilinear relationships

https://doi.org/10.1016/j.psyneuen.2019.104376Get rights and content

Highlights

  • Adolescent hair cortisol levels were not significantly associated with depressive symptoms in the linear model.

  • Adolescent hair cortisol levels at the low and high end of the sample distribution were associated with increased depressive symptoms.

  • Significant sex differences in the curvilinear relationship between hair cortisol levels and depressive symptoms were not found.

Abstract

Background

As the prevalence of depression is increasing among youth in the U.S., research on the utility of biomarkers in predicting depressive symptomatology is burgeoning. Hair cortisol may be a useful biomarker as it is a retrospective and longer-term measure of the mean cortisol level. However, studies have yet to examine the relationships between hair cortisol and depressive symptoms in samples of youth, and findings with adult samples are mixed. This study examined hair cortisol as a predictor of depressive symptoms, including the potential for nonlinear relationships.

Methods

A representative community sample of 432 adolescents aged 11 to 17 years was examined. Depressive symptoms were measured using a 9-item short-form of the Center for Epidemiologic Studies-Depression scale. Hair was cut from the posterior vertex region of the scalp using thinning shears. Hair was washed, minced, ground and assayed with Salimetrics® Cortisol Enzyme Immunoassay Kit. Hair cortisol levels were logged for statistical analysis.

Results

In multivariable regression analysis, no significant linear relationship was found in model 1 between hair cortisol and depressive symptoms (b= -0.036, se = 0.02, p = 0.13). In model 2, a marginally significant linear association (b= -0.044, se = 0.02, p-value = 0.06) and a significant curvilinear relationship (b = 0.039, se = 0.01, p-value = 0.005) were found between hair cortisol and depressive symptoms. The results were graphed depicting a u-shaped curve such that hair cortisol levels on the lower and higher end of the distribution predicted depressive symptoms.

Conclusions

The findings highlight the need to consider investigation of nonlinear associations between cortisol and depressive symptoms. Longitudinal mechanistic research is needed to elucidate the causal relationships between hypothalamic-pituitary-adrenal axis dysregulation and depressive symptoms as well as a better understanding of the biological mechanisms through which cortisol may contribute to depressive symptoms and psychopathology.

Introduction

Nearly 1 in 8 U.S. adolescents reported a major depressive episode in 2016, a proportion that has steadily increased over the past decade. (National Institute of Mental Health, 2017). Early identification of depression is vital as suicide is now the second leading cause of death among adolescents aged 11–17 years (Hedegaard et al., 2018). Stress biomarkers, such as cortisol, have been investigated as potential tools to aid in the diagnosis and management of adolescent depression. (Guerry and Hastings, 2011) Hair cortisol may be a particularly useful biomarker to aid in the diagnosis of depression as it provides a longer term and retrospective measure of cortisol with less collection burden than salivary measures (Short et al., 2016).

However, few studies to date have examined hair cortisol as a predictor of depression for any life stage of development, and of those that have, the findings have been mixed (Caparros-Gonzalez et al., 2017; Dowlati et al., 2010; Gerber et al., 2013; Mayer et al., 2018). Specifically, the association between hair cortisol and depression or depressive symptoms was reported as null in adults with coronary artery disease (Dowlati et al., 2010) as well as in young adult medical interns (Mayer et al., 2018); positive in adult pregnant women in which higher hair cortisol levels during the first and third trimester predicted post-partum depression (Caparros-Gonzalez et al., 2017); and negative in a small young adult sample of university students in which higher hair cortisol levels were associated with fewer depressive symptoms (Gerber et al., 2013). Thus, we build on this research through the investigation of hair cortisol as a predictor of depressive symptoms in a representative community sample of youth. We explore both linear and nonlinear associations due to the mixed findings in the literature and findings from prior research in which urinary cortisol levels at both the low and high end of the distribution were associated with increased depressive symptoms in older adults (Penninx et al., 2007).

Section snippets

Study design and sample

The current study examined data from the Adolescent Health and Development in Context (AHDC) study– a longitudinal cohort study investigating the impact of social and spatial exposures on the health of diverse youth aged 11–17 years (n = 1401) in Franklin County, OH; stress biomarkers, including hair cortisol, were collected on a subsample of youth participating in the first wave of the AHDC study (N = 600). The study design is described in detail elsewhere (Ford et al., 2016; Ford and Stowe,

Discussion

This study is among the first to examine linear and nonlinear relationships between cortisol levels in hair and depressive symptoms finding that hair cortisol levels at the lower and higher end of the sample distribution predicted increased depressive symptoms in this large representative sample of youth. These findings are consistent with a study of older adults in which urinary cortisol levels at the low and high end predicted depressive symptoms (Penninx et al., 2007). Together, these

CRediT authorship contribution statement

Jodi L Ford: Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Writing - original draft, Writing - review & editing. Samantha J. Boch: Conceptualization, Data curation, Methodology, Writing - review & editing. Christopher R. Browning: Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Writing - review & editing.

Declaration of Competing Interest

Drs. Ford, Boch and Browning have no conflicts of interest to disclose.

Acknowledgements

This study was funded by the U.S. National Institutes of Health, National Institute on Drug Abuse (Ford, 1R21DA034960 and Browning, 5R01DA032371) and National Institute of Child Health and Development (Casterline, 2P2CHD058484).

References (19)

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