TLDR People's decision-making can be influenced by their internal biological clocks, as shown by gene expression, not just self-reported preferences for morning or evening.
In the study conducted 7 years ago, researchers investigated the relationship between human decision-making and biological rhythms by examining how time of day and chronotype (whether one is a morning or evening person) affect performance on decision-making tasks. Participants completed two tasks, the matrix task and the balloon analog risk task (BART), either in the morning or evening, and their chronotype was assessed using the Horne-Östberg Morningness-Eveningness Questionnaire (MEQ) and by measuring the expression of circadian clock-regulated genes (Per3 and Nr1d2) in hair follicle samples. The study found that significant differences in decision-making between 'larks' (morning types) and 'owls' (evening types) were only observed when chronotype was determined by RNA-based measures of gene expression, not by self-report. This suggests that individual differences in molecular clockwork may influence decision-making behavior and that these effects are related to the phase of the peripheral clock as indicated by gene expression.
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August 2012 in “Biochemical and biophysical research communications” Human leukocytes and beard hair follicle cells have internal daily clocks, and PER1 and PER3 genes may indicate individual circadian rhythms.
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August 2010 in “Proceedings of the National Academy of Sciences of the United States of America” Scientists found a new, less invasive way to study body clocks using hair cells, which shows shift workers' body clocks don't match their lifestyles.
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January 2014 in “Frontiers in physiology” Understanding and tracking our body's natural daily rhythms could help improve heart health.
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December 2021 in “Journal of biological rhythms” Shift work disrupts the body's natural clock, leading to health problems.
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August 2010 in “Proceedings of the National Academy of Sciences of the United States of America” Scientists found a new, less invasive way to study body clocks using hair cells, which shows shift workers' body clocks don't match their lifestyles.