Association between sociodemographic, dietary, and substance use factors and accelerometer-measured 24-hour movement behaviours in Brazilian adolescents
- PMID: 33993399
- DOI: 10.1007/s00431-021-04112-0
Association between sociodemographic, dietary, and substance use factors and accelerometer-measured 24-hour movement behaviours in Brazilian adolescents
Abstract
Sociodemographic factors and lifestyle behaviours were evidenced as correlates of self-reported 24-hour movement behaviours in high-income settings. However, it is unclear how these relations occur in a middle-income country setting, with unique cultural and social characteristics. This study aimed to examine the association between sociodemographic, dietary, and substance use factors with accelerometer-measured 24-hour movement behaviours in Brazilian adolescents. Information on sex, age, socioeconomic status (SES), family structure, dietary behaviours, and history of substance use were collected by a questionnaire. Sleep duration, sedentary behaviour, and light- and moderate-to-vigorous physical activity (LPA and MVPA) were measured using wrist-worn accelerometers. On average, females slept more (β = 21.09, 95%CI 13.18; 28.98), engaged in more LPA (β = 17.60, 95%CI 8.50; 27.13), and engaged in less sedentary behaviour (β = -16.82, 95%CI -30.01; -4.30) and MVPA (β = -4.76, 95%CI -7.48; -1.96) than males. Age and sedentary behaviour were positively associated (β = 8.60, 95%CI 2.53; 14.64). Unprocessed foods were positively related to LPA (β = 2.21, 95%CI 0.55; 3.92), whereas processed foods were positively related to sedentary behaviour (β = 3.73, 95%CI 0.03; 7.38) and inversely related to MVPA (β = -0.89, 95%CI -1.68; -0.10). Family structure, SES, and substance use factors were not significantly associated with any 24-hour movement behaviour.Conclusions: Sex, age, and dietary behaviours, unlike SES or substance use, were associated with 24-hour movement behaviours in this sample of Brazilian adolescents and are important factors to consider in interventions, policies, and practice. What is Known: • The 24-hour movement behaviours are composed of sleep, sedentary behaviour, and physical activity and are important determinants of health. • Most adolescents do not engage in adequate levels of physical activity, sedentary behaviour, and sleep, and there is a need to better understand factors related to these behaviours. What is New: • Sex, age, and dietary behaviours were associated with the 24-hour movement behaviours. • No associations were found between socioeconomic status and substance use with the 24-hour movement behaviours.
Keywords: Physical activity, Sedentary behaviour, Sleep, Public health, Accelerometery.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
References
-
- Chaput J-P, Gray CE, Poitras VJ et al (2016) Systematic review of the relationships between sleep duration and health indicators in school-aged children and youth. Appl Physiol Nutr Metab Physiol Appl Nutr Metab 41:S266–S282. https://doi.org/10.1139/apnm-2015-0627 - DOI
-
- Poitras VJ, Gray CE, Borghese MM et al (2016) Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth. Appl Physiol Nutr Metab 41:S197–S239. https://doi.org/10.1139/apnm-2015-0663 - DOI - PubMed
-
- Carson V, Hunter S, Kuzik N et al (2016) Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update. Appl Physiol Nutr Metab 41:S240–S265. https://doi.org/10.1139/apnm-2015-0630 - DOI - PubMed
-
- da Costa BGG, Barreto PS, da Silveira PM et al (2020) The association between practicing sport and non-sport physical activities and health-related quality of life of Brazilian adolescents: a cross-sectional study. Sci Sports
-
- Guthold R, Stevens GA, Riley LM, Bull FC (2020) Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1·6 million participants. Lancet Child Adolesc Health 4:23–35. https://doi.org/10.1016/S2352-4642(19)30323-2 - DOI - PubMed - PMC
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Miscellaneous