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September 16.2025
2 Minutes Read

How Stress Measured in Hair Can Predict Anxiety and Depression in Children

Child being comforted in a warm embrace, illustrating emotional support.

Unveiling Depression Through Hair: A New Method

Research from the University of Waterloo has found a fascinating and non-invasive method to identify potential mental health issues in children: by measuring stress levels through hair samples. This innovative approach may prove vital for children suffering from chronic physical illnesses (CPI), who are at a heightened risk of anxiety and depression.

Why Chronic Illness Ties to Mental Health

It’s reported that approximately 40% of children in Canada live with chronic physical conditions, such as asthma or diabetes. These children undergo constant emotional strain. The daily challenges of managing their conditions can lead to heightened stress levels, making monitoring their mental health crucial for their overall well-being.

What Hair Cortisol Reveals

The study emphasized the role of hair cortisol, a biological marker that indicates long-term stress. Researchers followed 244 children over four years, discovering that over two-thirds exhibited persistently high cortisol levels. The findings suggest that children with continuously high cortisol experience more symptoms of depression and anxiety than their peers.

Early Intervention and Its Promise

Research shows that those whose cortisol levels decreased reported fewer emotional and behavioral issues. This correlation highlights the importance of early detection. Identifying stressed children can allow healthcare providers and families to intervene before more serious problems develop, thus improving children's mental health outcomes.

Looking Forward: A Call for Awareness

The implications of these findings are profound. High hair cortisol may offer doctors a practical tool to predict and address emotional challenges. In a society where mental health is increasingly recognized as critical, especially among children, these insights could pave the way for better-targeted interventions that enhance quality of life.

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