Use of a hybrid method to derive dietary patterns in 7 years olds with explanatory ability of body mass index at age 10

• Type: Article in International Scientific Journal
• Date: 2021

Authors

Pinto, A (Author) Other; Severo M (Author) ICBAS; Oliveira A (Author) FMUP

Journal

Title: European Journal of Clinical Nutrition

ISSN: 0954-3007

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 1 Citation

Other information

Authenticus ID: P-00T-M9K

DOI: 10.1038/s41430-021-00883-9

Abstract (EN): Background/Objectives The usual definition of dietary patterns only accounts for the explanation of dietary choices and not a specific health outcome. This could partially explain the lack of consistent associations between diet and related diseases. This study aims to identify dietary patterns in 7 years olds explaining body mass index (BMI) at age 10 and to assess their association with early-life factors (sociodemographic, birth, and infancy characteristics). Methods Children from the birth cohort Generation XXI at ages 7 and 10 were included (n = 4698). Diet was assessed by a validated food-frequency questionnaire. Measured BMI z-scores (zBMI) were calculated. Principal component analysis (PCA) and partial least squares (PLS) were run to derive dietary patterns. Results The component scores of PCA was able to explain 13.0% of food groups and only 0.2% of zBMI, while the PLS scores explained the variance of both food groups (10.1%) and zBMI at age 10 (4.2%). By using PLS, two dietary patterns were derived, but only one, higher in processed meats and energy-dense foods and lower in vegetable soup consumption, was significantly associated with an increased zBMI in 10 years olds (adjusted beta 0.032; 95% CI:0.017; 0.047). It was more likely followed by children from younger and less educated mothers and who were born heavier. Conclusions A dietary pattern higher in processed and energy-dense foods and with lower vegetable soup intake in 7 years olds significantly explained zBMI of 10 years olds, and was predicted by early-life characteristics. The other dietary patterns were not significantly associated with zBMI at age 10.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9