Objective <p>This study aims to investigate the effects of chronotype on resting metabolic rate (RMR) and anthropometric measurements among female university students.</p> Methods <p>The study was conducted with 92 female university students aged 19–25 years, comprising 46 morning-types and 46 evening-types who met the study criteria. Participants’ 3-day dietary intake, body composition (by Tanita MC 780), and waist circumference measurements (using a non-stretchable tape) were collected, and RMR values were determined using the BodyGem device. To determine the chronotype Morningness Eveningness Questionnaire (MEQ) was applied.</p> Results <p>The participants’ average age was 22.20 ± 1.50 years. No significant difference was found between RMR, sleep duration, and chronotypes (<i>p</i> &gt; 0.05). However, morning-type individuals had lower BMI, body fat percentage, and waist circumference values compared to evening-types (<i>p</i> &lt; 0.05).</p> Conclusion <p>These findings suggest that chronotype is associated with differences in body composition rather than resting metabolic rate or sleep duration. Evening-type individuals exhibited higher adiposity-related measures, indicating that circadian and behavioral factors may play a key role in metabolic health.</p>

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Chronotype is associated with body composition but not resting metabolic rate or sleep duration in university students

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摘要

Objective

This study aims to investigate the effects of chronotype on resting metabolic rate (RMR) and anthropometric measurements among female university students.

Methods

The study was conducted with 92 female university students aged 19–25 years, comprising 46 morning-types and 46 evening-types who met the study criteria. Participants’ 3-day dietary intake, body composition (by Tanita MC 780), and waist circumference measurements (using a non-stretchable tape) were collected, and RMR values were determined using the BodyGem device. To determine the chronotype Morningness Eveningness Questionnaire (MEQ) was applied.

Results

The participants’ average age was 22.20 ± 1.50 years. No significant difference was found between RMR, sleep duration, and chronotypes (p > 0.05). However, morning-type individuals had lower BMI, body fat percentage, and waist circumference values compared to evening-types (p < 0.05).

Conclusion

These findings suggest that chronotype is associated with differences in body composition rather than resting metabolic rate or sleep duration. Evening-type individuals exhibited higher adiposity-related measures, indicating that circadian and behavioral factors may play a key role in metabolic health.