The Possible Association Between Circadian Rhythm Chronotypes and Unhealthy Metabolic Phenotypes in Overweight/ Obese Women

Document Type: Original article

Authors

Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran

Abstract

Background: Circadian rhythm affects individual body function and health. Although it can regulate many biological processes in the body such as hormone release and eating habits, little is known about the relationship between circadian rhythm and metabolic disorders. Therefore, the purpose of the present research was to examine the association between Circadian Rhythm Chronotypes (CRC) and metabolic health status components, in patients with overweight and obesity.
Methods: A cross-sectional study was conducted at the healthcare centres of Tehran. Patients with Overweight and Obesity (OW/OB) (n 374) aged 18 to 56 years were rectruited. All participants were assessed for metabolic health status components based on Karelis criteria (HDL, LDL, TG, hs-CRP and HOMA-IR). Morningness - Eveningness Questionnaire (MEQ) was used for chronotype categorizing. Also, bioelectrical impedance analysis (BIA) was applied to evaluate body composition. Regression model in crude and adjusted model was used to assess the relation between CRC and metabolic status.
Results: The differences in CRC were not significant in terms of Karelis criteria components except hs-CRP (p=0.02). Results had shown that the trend of hs-CRP tends to decrease from eveningness chronotype to morningness chronotype and it significantly increased in crude model (p=0.007) and adjusted model (p=0.03). In addition, hs-CRP had decreased significantly in morningness chronotype in comparison with eveningness chronotype in crude model [OR (95% CI): 0.28 (0.10 to 0.79), p=0.01].
Conclusion: This study indicated an association between hs-CRP and CRC in women patients with overweight and obesity, which indicates that inflammation may have a relation to the CRC and metabolic status.

Keywords


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