Metabolic syndrome risk score and time expended in moderate to vigorous physical activity in adolescents

BackgroundThe clustering of metabolic syndrome risk factors is inversely related to the amount of physical activity. However, the question remains as to how much daily physical activity is enough to prevent the onset of metabolic disorders in adolescents? Therefore, the objectives of this study were to associate the metabolic risk score with the moderate to vigorous physical activity (MVPA) and to identify the amount of daily physical activity to prevent the onset of the metabolic risk factors in Brazilian adolescents.MethodsThe study involved 391 participants aged 10 to 18 years. Physical activity was measured by accelerometry. The counts obtained in the different activities were transformed into metabolic equivalents and classified as light (≥ 1.5 but < 3.0 METs), moderate (≥ 3.0 but < 6.0 METs) and vigorous (≥ 6.0 METs) activities. The continuous risk score for metabolic syndrome was calculated using the following risk factors: waist circumference, blood pressure, blood glucose, HDL-C and triglycerides.ResultsTime spent in MVPA was inversely associated with the continuous risk score for metabolic syndrome (p < 0.05). Analysis of the ROC curve suggests that these adolescents must perform at least 88 minutes per day of MVPA.ConclusionsThese findings reinforce previous evidence that physical activity relates to metabolic syndrome in adolescents. This population should be encouraged to gradually replace part of their sedentary time with physical activities.

[1]  U. Ekelund,et al.  Biology of Physical Activity in Youth Physical activity , cardiorespiratory fitness , and the metabolic syndrome in youth , 2008 .

[2]  Shin-Yun Kim,et al.  Physical Activity and Metabolic Syndrome in Korean Children , 2009, International journal of sports medicine.

[3]  R. Lyn,et al.  Continuous Metabolic Syndrome Risk Score, Body Mass Index Percentile, and Leisure Time Physical Activity in American Children , 2010, Journal of clinical hypertension.

[4]  J W Erdman,et al.  AHA Dietary Guidelines: revision 2000: A statement for healthcare professionals from the Nutrition Committee of the American Heart Association. , 2000, Circulation.

[5]  Patty Freedson,et al.  Calibration of accelerometer output for children. , 2005, Medicine and science in sports and exercise.

[6]  K. Singh,et al.  Physical Activity Guidelines for Children and Youth , 2013 .

[7]  Bernard F Fuemmeler,et al.  Accelerometer data reduction: a comparison of four reduction algorithms on select outcome variables. , 2005, Medicine and science in sports and exercise.

[8]  S. Daniels,et al.  Summary of the Fourth Report on the Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents. , 2004, Hypertension.

[9]  P. Freedson,et al.  Age and gender differences in objectively measured physical activity in youth. , 2002, Medicine and science in sports and exercise.

[10]  U. Ekelund,et al.  Physical activity and clustered cardiovascular risk in children: a cross-sectional study (The European Youth Heart Study) , 2006, The Lancet.

[11]  S. Haffner,et al.  Prospective analysis of the insulin-resistance syndrome (syndrome X). , 1992, Diabetes.

[12]  J. Eisenmann,et al.  The role of physical activity and fitness on the metabolic syndrome in adolescents: effect of different scores. The AFINOS Study , 2009, Journal of Physiology and Biochemistry.

[13]  Jorge Mota,et al.  Physical activity and biological risk factors clustering in pediatric population. , 2004, Preventive medicine.

[14]  P S Freedson,et al.  Field evaluation of the Computer Science and Applications, Inc. physical activity monitor. , 2000, Medicine and science in sports and exercise.

[15]  M. Puyau,et al.  Validation and calibration of physical activity monitors in children. , 2002, Obesity research.

[16]  R. Ramos,et al.  Cardiovascular health of the brazilian male: the view of the Brazilian Society of Cardiology. , 2009, Arquivos Brasileiros de Cardiologia.

[17]  I. Janssen,et al.  Systematic review of the health benefits of physical activity and fitness in school-aged children and youth , 2010, The international journal of behavioral nutrition and physical activity.

[18]  K. Shirai,et al.  Relationship between metabolic syndrome and early stage coronary atherosclerosis. , 2007, Journal of atherosclerosis and thrombosis.

[19]  D. J. van der Valk,et al.  How accurately can sitting and the intensity of walking and cycling be classified using an accelerometer on the waist for the purpose of the “Global recommendations on physical activity for health”? , 2015 .

[20]  U. Ekelund,et al.  Independent associations of physical activity and cardiorespiratory fitness with metabolic risk factors in children: the European youth heart study , 2007, Diabetologia.

[21]  M. Sjöström,et al.  Relationship of physical activity, fitness, and fatness with clustered metabolic risk in children and adolescents: the European youth heart study. , 2007, The Journal of pediatrics.

[22]  Naíza Nayla Bandeira de Sá,et al.  [Factors associated with the burden of metabolic syndrome diseases among Brazilian adults]. , 2010, Cadernos de saude publica.

[23]  J. Eisenmann Secular trends in variables associated with the metabolic syndrome of North American children and adolescents: A review and synthesis , 2003, American journal of human biology : the official journal of the Human Biology Council.

[24]  U. Ekelund,et al.  Features of the metabolic syndrome are associated with objectively measured physical activity and fitness in Danish children: the European Youth Heart Study (EYHS). , 2004, Diabetes care.

[25]  P. Brambilla,et al.  Physical activity as the main therapeutic tool for metabolic syndrome in childhood , 2011, International Journal of Obesity.