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- Title
A Cross-Sectional Investigation of Preadolescent Cardiometabolic Health: Associations with Fitness, Physical Activity, Sedentary Behavior, Nutrition, and Sleep.
- Authors
Castro, Nicholas; Zieff, Gabriel; Bates, Lauren C.; Pagan Lassalle, Patricia; Higgins, Simon; Faulkner, James; Lark, Sally; Skidmore, Paula; Hamlin, Michael J.; Signal, T. Leigh; Williams, Michelle A.; Stoner, Lee
- Abstract
Background: Cardiometabolic disease (CMD) risk often begins early in life. Healthy lifestyle behaviors can mitigate risk, but the optimal combination of behaviors has not been determined. This cross-sectional study simultaneously examined the associations between lifestyle factors (fitness, activity behaviors, and dietary patterns) and CMD risk in preadolescent children. Methods: 1480 New Zealand children aged 8–10 years were recruited. Participants included 316 preadolescents (50% female, age: 9.5 ± 1.1 years, BMI: 17.9 ± 3.3 kg/m2). Fitness (cardiorespiratory fitness [CRF], muscular fitness), activity behaviors (physical activity, sedentary, sleep), and dietary patterns were measured. Factor analysis was used to derive a CMD risk score from 13 variables (adiposity, peripheral and central hemodynamics, glycemic control, and blood lipids). Results: Only CRF (β = −0.45, p < 0.001) and sedentary time (β = 0.12, p = 0.019) were associated with the CMD risk score in the adjusted multivariable analysis. CRF was found to be nonlinear (VO2 max ≤ ≈42 mL/kg/min associated with higher CMD risk score), and thus a CRF polynomial term was added, which was also associated (β = 0.19, p < 0.001) with the CMD risk score. Significant associations were not found with sleep or dietary variables. Conclusion: The findings indicate that increasing CRF and decreasing sedentary behavior may be important public health targets in preadolescent children.
- Subjects
NEW Zealand; CARDIOVASCULAR diseases risk factors; SEDENTARY lifestyles; HEALTH behavior in children; FOOD habits; STATISTICAL significance; STATISTICS; SCIENTIFIC observation; CONFIDENCE intervals; GLYCEMIC control; MULTIVARIATE analysis; PHYSICAL fitness; REGRESSION analysis; PHYSICAL activity; SLEEP; FACTOR analysis; RESEARCH funding; HEMODYNAMICS; DATA analysis software; ADIPOSE tissues; LIPIDS
- Publication
Children, 2023, Vol 10, Issue 2, p336
- ISSN
2227-9067
- Publication type
Article
- DOI
10.3390/children10020336