Childhood dietary patterns and cardiovascular risk factors in adolescence: results from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort

Caroline J Bull,Kate Northstone

doi:10.1017/s1368980016001592

Abstract

To investigate the prospective associations between dietary patterns in childhood and CVD risk in adolescence. Prospective cohort study. Exposures were dietary patterns at age 7, 10 and 13 years derived by cluster analysis. Outcomes were physiological and biochemical cardiovascular risk markers. Avon Longitudinal Study of Parents and Children (ALSPAC), UK. Children (n 2311, 44.1 % male) with complete data available. After adjustment for known confounders, we observed an association between being in the 'Processed' and 'Packed lunch' dietary pattern clusters at age 7 and BMI at age 17. Compared with the 'healthy' cluster, the OR (95 % CI) for being in the top 10 % for BMI was 1·60 (1·01, 2·55; P=0·05) for the 'Processed' cluster and 1·96 (1·22, 3·13; P=0·005) for the 'Packed lunch' cluster. However, no association was observed between BMI and dietary patterns at age 10 and 13. Longitudinal analyses showed that being in either the 'Processed' or 'Packed lunch' cluster at age 7 was associated with increased risk of being in the top 10 % for BMI regardless of subsequent cluster membership. No associations between other cardiovascular risk measures and dietary patterns were robust to adjustment for confounders. We did not find any consistent evidence to support an association between dietary patterns in childhood and cardiovascular risk factors in adolescence, with the exception of BMI and dietary pattern at age 7 only. However, the importance of dietary intake in childhood upon health later in life requires further investigation and we would encourage the adoption of a healthy diet as early in life as possible.

Highlights

Statistical analysis We examined the association of dietary patterns at different time points with CV risk at age 17 years as binary outcomes cross-sectionally by logistic regression modelling
Dietary patterns were distributed differently at all time points in participants with available outcome data compared with participants with missing data
Our results suggest that dietary patterns, measured at ages 7, 10 and 13 years using cluster analysis (CA), have little overall contribution to measures of CV risk assessed at age 17 years

Summary

Introduction

Assessment of cardiovascular risk The outcome measures used in the present analysis were collected during a clinic visit conducted when participants were age 17 (mean age = 17 years 10 months, SD = 6 months). Statistical analysis We examined the association of dietary patterns at different time points with CV risk at age 17 years as binary outcomes cross-sectionally by logistic regression modelling.

Results

Conclusion