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Tracking of sugar-sweetened soft drinks and other common beverages from infancy to childhood and adolescence
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Tracking of sugar-sweetened soft drinks and other common beverages from infancy to childhood and adolescence
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Journal Article
Tracking of sugar-sweetened soft drinks and other common beverages from infancy to childhood and adolescence
2019
Overview
The beverage data were sorted into six categories (soft drinks (non-diet carbonated), fruit juice, squash, diet soft drinks (carbonated and non-carbonated), milk and water). Associations between high beverage intake at 30 months and high intake at 7 and 15 years were tested using logistic regression, adjusting for potentially confounding factors (gender and a binary measure of socio-economic status (SES) assessed at recruitment in 1999(7)).The reference value for adjusted Odds Ratios (aOR) was low or no intake. The adjusted odds ratio for being a soft drink consumer at age 7 years was almost 3 times the reference value of a non-consumer at age 30 months, but when the analysis was stratified for SES this increased to almost 5 times the reference for those of higher SES (OR 4.87 95% CI 2.34–10.14 P < 0.001) compared to those of lower SES where the OR was not significant. 7 years 15 years Beverage intake at 30 months aOR 95% CI P-value aOR 95% CI P-value Soft Drinks Consumer 2.912 1.652,5.135 <0.001 1.778 0.848,3.726 0.128 Squash High Intake 1.443 0.754,2.759 0.268 1.613 0.768,3.384 0.206 Fruit Juice High Intake 3.624 1.958,6.708 <0.001 1.640 0.761,3.533 0.207 Dist Soft Drinks Consumer 4.520 2.289,8.926 <0.001 2.091 0.961,4.551 0.063 Water High Intake 2.954 1.610,5.420 <0.001 1.410 0.631,3.151 0.402 Milk High Intake 1.988 0.993,3.980 0.053 0.991 0.452,2.170 0.982 These data suggest that the family environment can protect toddlers and children from excessive exposure to sweetened beverages, but that by adolescence young people are more exposed to external influences. 1.
