Examining the Agreement Between Subjective and Objective Measures of Sleep: A Comparison of Munich Chronotype Questionnaire and Fitbit‐Derived Sleep Metrics

Apr 10, 2025Journal of sleep research

Comparing Self-Reported Sleep Patterns with Fitbit Sleep Data Using the Munich Chronotype Questionnaire

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Abstract

Correlations between subjective sleep measures and Fitbit metrics ranged from 0.12 to 0.42 across different sleep metrics.

  • Fitbit classified 63.2% of participants as having insufficient sleep, while only 39.45% were identified as such by the Munich Chronotype Questionnaire (MCTQ).
  • Weak to moderate correlations were found for sleep duration (r = 0.15-0.21), sleep midpoint (r = 0.37-0.42), and social jetlag (r = 0.12-0.16).
  • Quadratic and LOESS models revealed nonlinear trends for sleep midpoint, with greater divergence between Fitbit and MCTQ at extreme morningness or eveningness.
  • Higher body mass index (BMI) was significantly linked to shorter sleep duration and greater variability in sleep metrics.
  • Household income and BMI moderated specific sleep measures, while age and sex did not show significant moderation.

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