Correlation analysis between macronutrient intake and sleep quality in pregnant women in ten Chinese cities

Abstract

ObjectiveTo explore the relationship between macronutrient intake and sleep quality， the current sleep quality of pregnant women from ten cities in China was investigated.MethodsMultistage stratified sampling was used to investigate the nutrient intake and sleep quality of 863 pregnant women in ten Chinese cities. Twenty-four dietary intake， sleep quality， perinatal depression， and other information was obtained using physical measurements and a questionnaire. Logistic and multiple linear regression models were used to explore the relationship between macronutrient intake and sleep quality.ResultsThe prevalence of poor sleep quality among pregnant women was 46.12%； pregnant women who were in the third trimester， who had depression， were currently unemployed， passively smoked during pregnancy， and had a history of previous alcohol consumption， demonstrated a higher levels of poor sleep quality （P<0.05）. The ratios of energy intake from carbohydrates， fats， and proteins in pregnant women were 51.1%， 34.4%， and 14.2%， respectively. The results of the logistic and multiple linear regression analyses indicated that when total energy intake was constant， substituting 5% of energy intake either from protein or fat with carbohydrate increased the odds of poor sleep quality； OR were 1.13 （95%CI： 1.01–1.26， P<0.05） and 1.09 （95% CI： 1.02–1.16， P<0.05）， respectively.ConclusionThere is a significant negative correlation between carbohydrate intake and sleep quality at a certain level of total energy intake for pregnant women.

Keywords

• sleep quality
• pregnant women
• macronutrient intake