The primary aim of TIME-ZZZ is to explore the relationship between chronotype, incidence of depression and biological age, and whether individuals working "out-of-phase" with their chronotype are more likely to exhibit signs of depression and accelerated biological aging.
Understanding the relationship between chronotype, depression, and biological age is important in the field of sleep research and mental health. Sleep patterns and their alignment with an individual's internal body clock, or chronotype, have been increasingly recognized as influential factors in various aspects of well-being, including mental health and overall physiological aging. By conducting a study that investigates the potential correlation between chronotype, incidence of depression, and biological age, along with the impact of working "out-of-phase" with one's chronotype, the investigators can shed light on crucial aspects of sleep, mental health, and their interplay with biological aging.
Study Type
OBSERVATIONAL
Enrollment
10,000
Group will complete several surveys
Effect of being "out of phase" with chronotype on biological age
Determine whether individuals working "out-of-phase" with their chronotype (from TIME-ZZZ survey responses) exhibit higher rates of biological aging compared to those working within their chronotype
Time frame: At baseline
Effect of Chronotype Alignment and Depression Risk in Relation to Rate of Aging
Determine the effect of chronotype alignment and depression risk (from TIME-ZZZ surveys) on biological rate of aging
Time frame: At baseline
Identification of DNA methylation markers associated with chronotype
Identify specific DNA methylation markers associated with chronotype (from TIME-ZZZ surveys) thereby providing potential insights into the epigenetic regulation of sleep-wake patterns
Time frame: At baseline
Identification of DNA methylation markers associated with depression
Identify specific DNA methylation markers associated with depression (from TIME-ZZZ surveys) potentially shedding light on the underlying epigenetic mechanisms involved in the development and progression of depressive disorders.
Time frame: At baseline
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