Characterization of bimodal chronotype and its association with sleep: A population-based study

Apr 21, 2017Chronobiology international

Two Peak Daily Activity Patterns and Their Link to Sleep in the General Population

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Abstract

Of the 857 individuals who completed the Morningness-Eveningness Questionnaire, 16% were classified as bimodal chronotypes.

  • Bimodal chronotypes exhibited a younger average age and lower body mass index compared to other types.
  • No significant association was found between bimodal chronotype and the PER3 gene variations or gender.
  • Bimodal individuals showed associations with higher scores on the Epworth Sleepiness Scale and apnea-hypopnea index.
  • No statistically significant differences were observed between bimodal and intermediate non-bimodal types for the studied variables.
  • Key predictors for identifying bimodal chronotype included female gender, apnea-hypopnea index, and Epworth Sleepiness Scale scores.

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