A groundbreaking study by lead author Emma C. Sullivan, published in Cortex, aims to elucidate the factors that promote resilience when enduring chronic stress, emphasizing the importance of sleep health and cognitive processes for mental well-being.
Chronic stress is a major risk factor for mental illnesses like depression and anxiety. However, not everyone experiencing chronic stress develops psychological disturbances, revealing individual differences that confer resilience. Understanding these factors provides crucial insight into reducing the global burden of mental illness.
This research examined how adaptive thinking strategies that positively reframe negative experiences (called adaptive cognitive emotion regulation or CER) and sleep quality influenced depression and anxiety levels at the height of the COVID-19 pandemic.
The study analyzed data from 1600 adults in the US who self-reported depression, anxiety, sleep quality, and CER strategy use between March and November 2020. This allowed the researchers to investigate how adaptive thinking and sleep quality impact mental health outcomes when experiencing an uncontrollable, long-term stressor in the real world.
The findings revealed that more frequent use of adaptive CER strategies and higher sleep quality were independently associated with lower depression and anxiety levels during the pandemic. However, only sleep quality significantly predicted anxiety when accounting for both factors.
The benefits of adaptive CER use for combating depression were consistent across different sleep quality levels. This highlights the independent importance of adaptive thinking and good sleep in promoting resilience to emotional distress during chronic stress.
The study relied solely on subjective self-reports, preventing comparison to objective sleep and physiological measures of emotion regulation. The COVID-19 pandemic also represents an exceptional stressor, making comparisons difficult. Significant work remains to unravel the precise mechanisms linking sleep, cognition, and affective well-being.
Neurobit is spearheading cutting-edge solutions to overcome these hurdles and catalyze advances in sleep and mental health research.
Neurobit PSG uses AI and deep learning for accurate sleep event labeling for sleep-derived biomarkers, providing objective sleep quality data.
Z3 Pulse collects comprehensive physiological signals, including ECG, for quantifying sleep insights and guiding interventions.
Neurobit Hub aggregates extensive sleep datasets to uncover novel biomarkers and accelerate clinical trials.
Together, these technologies will unlock transformative insights into the complex interactions between sleep and mental health.
This pioneering study highlights the need to elucidate the intricate connections between sleep, cognition, and affect. Neurobit's innovative suite of AI-powered solutions is poised to overcome key bottlenecks facing the field today, ushering in a new era of discovery in sleep health and its far-reaching impacts on mental well-being.
Get in touch to learn more and join our mission: Research@Neurobit.com
Sullivan, E. C., James, E., Henderson, L.-M., McCall, C., & Cairney, S. A. (2023). The influence of emotion regulation strategies and sleep quality on depression and anxiety. Cortex, 166, 286–305. https://doi.org/10.1016/j.cortex.2023.06.001