A Cross-Sectional Investigation of Preadolescent Cardiometabolic Health: Associations with Fitness, Physical Activity, Sedentary Behavior, Nutrition, and Sleep

被引:0
|
作者
Castro, Nicholas [1 ]
Zieff, Gabriel [2 ]
Bates, Lauren C. C. [2 ]
Pagan Lassalle, Patricia [2 ]
Higgins, Simon [2 ]
Faulkner, James [3 ]
Lark, Sally [4 ]
Skidmore, Paula [5 ]
Hamlin, Michael J. J. [6 ]
Signal, T. Leigh [7 ]
Williams, Michelle A. A. [8 ]
Stoner, Lee [2 ]
机构
[1] Univ N Carolina, Sch Hlth & Appl Human Sci, Wilmington, NC 28403 USA
[2] Univ N Carolina, Dept Exercise & Sport Sci, Chapel Hill, NC 27513 USA
[3] Univ Winchester, Sch Sport Hlth & Community, Winchester SO22 4NR, England
[4] Massey Univ, Sch Sport Exercise & Nutr, Wellington 4442, New Zealand
[5] Univ Otago, Dept Med, Dunedin 9016, New Zealand
[6] Lincoln Univ, Dept Tourism Sport & Soc, Christchurch 7647, New Zealand
[7] Massey Univ, Sleep Wake Res Ctr, Sch Hlth Sci, Wellington 4442, New Zealand
[8] Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA
来源
CHILDREN-BASEL | 2023年 / 10卷 / 02期
关键词
cardiovascular disease; metabolic disease; cardiometabolic disease; childhood; lifestyle factors; CARDIOVASCULAR-DISEASE RISK; ALL-CAUSE MORTALITY; SHUTTLE RUN TEST; CARDIORESPIRATORY FITNESS; DIETARY INTERVENTION; YOUNG ADULTHOOD; BLOOD-PRESSURE; TIME BEHAVIOR; SITTING TIME; BODY-FAT;
D O I
10.3390/children10020336
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
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/m(2)). 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 (beta = -0.45, p < 0.001) and sedentary time (beta = 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 <= approximate to 42 mL/kg/min associated with higher CMD risk score), and thus a CRF polynomial term was added, which was also associated (beta = 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.
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页数:15
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