AIM: This study aimed to identify sleep profiles in a representative sample of Slovak adolescents and investigate their associations with adiposity indicators and cardiorespiratory fitness. METHODS: Data from the 2022 Health Behaviour in School-aged Children (HBSC) study conducted in Slovakia were analysed. Survey questions on sleep duration and problems from the entire HBSC sample (n = 8906) were used to identify sleep profiles. Associations with adiposity indicators and cardiorespiratory fitness were investigated in a subsample of 924 adolescents (average age 13.3 ± 1.48; 56.2% boys) who completed the HBSC survey, bioimpedance analysis, and 20-metre shuttle run test. RESULTS: Three sleep profiles were identified-optimal sleepers, optimal sleepers with sporadic sleep problems and poor sleepers. Crude models showed that poor sleepers had significantly higher body fat percentage and fat mass index, along with lower cardiorespiratory fitness, compared to optimal sleepers. After adjustment, only the association between sleep profiles and cardiorespiratory fitness remained significant. CONCLUSION: The observed associations between sleep profiles and cardiorespiratory fitness may help better target future intervention resources towards adolescents with low cardiorespiratory fitness levels.
- MeSH
- Adiposity * MeSH
- Child MeSH
- Cardiorespiratory Fitness * physiology MeSH
- Humans MeSH
- Adolescent MeSH
- Cross-Sectional Studies MeSH
- Sleep * physiology MeSH
- Check Tag
- Child MeSH
- Humans MeSH
- Adolescent MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- Slovakia MeSH
OBJECTIVES: Growing evidence supports the important role of 24-hour movement behaviours (MB) in preventing childhood obesity. However, research to understand the heterogeneity and variability of MB among individuals and what kind of typologies of individuals are at risk of developing obesity is lacking. To bridge this gap, this study identified typologies of 24-hour MB in children and adolescents and investigated their associations with adiposity indicators. METHODS: In this cross-sectional study, 374 children and 317 adolescents from the Czech Republic wore wrist-worn accelerometers for seven consecutive days. Time spent in moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), sedentary behaviour (SB), and sleep was quantified using raw accelerometery data. Adiposity indicators included body mass index (BMI) z-score, fat mass percentage (FM%), fat mass index (FMI), and visceral adipose tissue (VAT). Bias-adjusted latent profile analysis was used on the 24-hour MB data to identify MB typologies and their associations with adiposity indicators. The models were adjusted for potential confounders. The identified typologies were labelled to reflect the behavioural profiles of bees to aid interpretability for the general public. RESULTS: Two typologies were identified in children: highly active Workers characterised by high levels of MVPA and LPA, and inactive Queens characterised by low levels of MVPA and LPA, high levels of SB and longer sleep duration compared to Workers. In adolescents, an additional typology labelled as Drones was characterised by median levels of MVPA, LPA, SB and longest sleep duration. After controlling for covariates, we found that children labelled as Queens were associated with 1.38 times higher FM%, 1.43 times higher FMI, and 1.67 times higher VAT than Workers. In adolescents, Drones had 1.14 times higher FM% and Queens had 1.36 higher VAT in comparison with Workers, respectively. CONCLUSION: Our study highlights the importance of promoting active lifestyles in children and adolescents to potentially reduce adiposity. These findings can provide insights for interventions aimed at promoting healthy MB and preventing childhood obesity.
- MeSH
- Adiposity * physiology MeSH
- Accelerometry MeSH
- Exercise * MeSH
- Child MeSH
- Body Mass Index MeSH
- Humans MeSH
- Adolescent MeSH
- Pediatric Obesity * epidemiology MeSH
- Cross-Sectional Studies MeSH
- Sedentary Behavior * MeSH
- Sleep physiology MeSH
- Check Tag
- Child MeSH
- Humans MeSH
- Adolescent MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- Czech Republic MeSH