Tracking of clustered metabolic syndrome risk factor in Japanese children: 3-year follow-up study

The purpose of this study was to investigate the tracking of clustered metabolic syndrome (MetS) risk factor taking into account fatness and aerobic fitness from childhood to adolescence in Japanese children. This cohort study included 113 participants (47 boys and 66 girls) who were measured for Me...

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Bibliographic Details
Main Authors: Kensaku Sasayama, Minoru Adachi
Format: Article
Language:English
Published: Japanese Society of Physical Fitness and Sports Medicine 2017-07-01
Series:Journal of Physical Fitness and Sports Medicine
Subjects:
Online Access:https://www.jstage.jst.go.jp/article/jpfsm/6/4/6_267/_pdf/-char/en
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Summary:The purpose of this study was to investigate the tracking of clustered metabolic syndrome (MetS) risk factor taking into account fatness and aerobic fitness from childhood to adolescence in Japanese children. This cohort study included 113 participants (47 boys and 66 girls) who were measured for MetS risk factors at 10 years and 13 years of age. Clustered MetS risk factors (MetS risk score) were calculated from the total gender-specific values (z-scores) of the following five parameters: waist to height ratio (W/H), predicted VO2peak (pVO2peak), triglycerides, high density lipoprotein cholesterol, and mean arterial pressure. The tracking coefficient of MetS risk score from childhood to adolescence was 0.647 (p < 0.001). Correlation coefficients of MetS risk scores (without W/H) between 10 and 13 years of age in the high W/H group (r = 0.713, p < 0.001) were higher than those in the low W/H group (r = 0.402, p < 0.01) In addition, correlation coefficients of MetS risk scores (without pVO2peak) between 10 and 13 years of age in the low pVO2peak (r = 0.630, p < 0.001) were higher than those in the high pVO2peak (r = 0.452, p < 0.01). In conclusion, we found that MetS risk was stable from childhood to adolescence in Japanese children. Furthermore, our results show that both fatness and fitness are crucial for tracking MetS risk.
ISSN:2186-8131
2186-8123