Literature DB >> 32645505

Determinants of energy drink consumption in adolescents: identification of sex-specific patterns.

T Lebacq1, V Desnouck2, M Dujeu2, E Holmberg2, C Pedroni2, K Castetbon2.   

Abstract

OBJECTIVES: To investigate sex differences in sociodemographic and lifestyle correlates of frequent energy drink (ED) consumption in adolescents. STUDY
DESIGN: This study was based on data collected among French-speaking Belgian adolescents aged 11-20 years (n = 8137) within the 2018 Health Behaviour in School-aged Children study.
METHODS: Multiple logistic analyses stratified by sex were performed to estimate the associations between consuming EDs more than once a week, and various sociodemographic and lifestyle characteristics.
RESULTS: Overall, 14.0% of boys and 7.6% of girls consumed ED more than once a week. For both genders, the likelihood of consuming ED more than once a week was higher among adolescents consuming soft drinks daily (vs. < daily), alcohol weekly (vs. < weekly), spending at least 5 h/day in front of screens (vs. < 5 h/day), and going to bed later than 11:30 PM (vs. ≤ 10:00 PM). Among boys, adolescents reporting at least 1 h of moderate-to-vigorous physical activity (MVPA) daily (vs. < 1 h/day MVPA) were more likely to consume ED more than once a week (adjusted odd ratio (aOR) = 1.49 (95% confidence interval [CI] 1.11-2.01)). Among girls, adolescents from low affluence families (vs. high affluence) (aOR = 2.03 (95% CI 1.19-3.48)) and immigrants (vs. natives) (2nd generation: aOR = 1.75 (95% CI 1.31-2.32); 1st generation: aOR = 1.90 (95% CI 1.20-3.03)) were more likely to consume ED more than once a week.
CONCLUSIONS: We identified different patterns of ED consumption in boys and girls. These results suggest that sex-tailored interventions could be relevant to reduce ED consumption in adolescents.
Copyright © 2020 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adolescents; Energy drinks; Lifestyle factors; Sex differences; Sociodemographic factors

Year:  2020        PMID: 32645505     DOI: 10.1016/j.puhe.2020.05.040

Source DB:  PubMed          Journal:  Public Health        ISSN: 0033-3506            Impact factor:   2.427


  5 in total

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  5 in total

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