Background: Limited information is available concerning the association between dietary patterns and cognitive ability during adolescence, especially in regards to the epidemiological studies in China. Therefore, this study aimed to analyze the association between dietary patterns and cognitive ability in Chinese children aged 10–15 years. Methods: The dietary information, cognitive ability and sociodemographic data of 2029 children were retrieved from the 2010 China Family Panel Studies. Dietary patterns were assessed by principal component analysis. Ordinal logistic regression models were used to determine the association between dietary patterns and cognitive ability in these children. Results: Three dietary patterns were identified, namely, ‘High protein’, ‘High fat’ and ‘High salt-oil’. Following adjustment for gender, age, nationality, household registration, school type, parental education level, family learning environment, annual household income and family size, we found that an increase in ‘High protein’ pattern score was significantly associated with higher mathematics test scores (OR = 1.62, CI: 1.23 ~ 2.15; P = 0.001), but not with vocabulary test scores (OR = 1.21, CI: 0.93 ~ 1.58; P = 0.149). On the contrary, an increase in ‘High fat’ pattern score was significantly associated with lower scores of mathematics (OR = 0.76, CI: 0.59 ~ 0.98; P = 0.031) and vocabulary (OR = 0.77, CI: 0.61 ~ 0.97; P = 0.029) tests. However, there was no significant association between ‘High salt-oil’ pattern and the scores of mathematics (OR = 0.99, CI: 0.77 ~ 1.27; P = 0.915) and vocabulary (OR = 0.93, CI: 0.73 ~ 1.18; P = 0.544) tests. Conclusion: The findings of this study demonstrated that ‘High protein’ pattern was positively associated with cognitive ability in Chinese children, while ‘High fat’ pattern exhibited a negative association.
CITATION STYLE
Wang, T., Cao, S., Li, D., Chen, F., Jiang, Q., & Zeng, J. (2021). Association between dietary patterns and cognitive ability in Chinese children aged 10–15 years: evidence from the 2010 China Family Panel Studies. BMC Public Health, 21(1). https://doi.org/10.1186/s12889-021-12209-2
Mendeley helps you to discover research relevant for your work.