To investigate the associations of sleep variability and irregularity with the odds of gestational metabolic syndrome (GMS) and its components during pregnancy, highlighting the significance of these relationships.
Key Findings:
Greater sleep variability is associated with increased odds of GMS (aOR 1.348; 95% CI: 1.136-1.559) and dyslipidemia (aOR 1.086; 95% CI: 1.019-1.159).
No significant associations were found for hyperglycemia or hypertension.
Sleep irregularity showed no significant association with GMS or its components.
Increased vulnerability to GMS was noted in older women and those with a history of multiple pregnancies.
Interpretation:
Higher sleep variability during pregnancy is linked to a greater risk of developing GMS and dyslipidemia, with certain demographic factors influencing this risk, particularly maternal age and pregnancy history.
Limitations:
The study may not account for all confounding factors affecting sleep and metabolic health, such as [insert specific factors].
The findings are based on a specific population and may not be generalizable.
Conclusion:
The study highlights the importance of monitoring sleep variability in pregnant women as a potential modifiable risk factor for GMS and its components, suggesting avenues for future research and clinical practice.
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