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J Sport Health Sci. 2019 Jan;8(1):55-62. doi: 10.1016/j.jshs.2018.03.004. Epub 2018 Mar 27.

Cardiometabolic risk through an integrative classification combining physical activity and sedentary behavior in European adolescents: HELENA study.

Author information

1
IRyS Group, Physical Education School, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile.
2
PROmoting FITness and Health through physical activity research group (PROFITH), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada 18001, Spain.
3
Department of Nutrition and Food Science, University of the Basque Country, UPV/EHU, Vitoria 01001, Spain.
4
Department of Health and Human Performance, School of Health Sciences, University of Zaragoza, Zaragoza 50001, Spain.
5
ImFine Research Group, Facultad de Ciencias de la Actividad Física y del Deporte-INEF, Universidad Politécnica de Madrid, Madrid 28001, Spain.
6
Lille Inflammation Research International Center, University of Lille, Lille 59000, France.
7
Department of Nutrition and Dietetics, Harokopio University, Athens 10431, Greece.

Abstract

Purpose:

This study aims to compare adolescents' cardiometabolic risk score through an integrative classification of physical activity (PA), which involves the combination of moderate-to-vigorous physical activity (MVPA) and sedentary behavior (SB).

Methods:

A cross-sectional study derived from the Healthy Lifestyle in Europe by Nutrition in Adolescence Cross-Sectional Study database (2006-2008) was conducted in adolescents (n = 548; boys, 47.3%; 14.7 ± 1.2 years) from 10 European cities. MVPA and SB were objectively measured using accelerometry. Adolescents were divided into 4 categories according to MVPA (meeting or not meeting the international recommendations) and the median of SB time (above or below sex- and age-specific median) as follows: High-SB & Inactive, Low-SB & Inactive, High-SB & Active, and Low-SB & Active. A clustered cardiometabolic risk score was computed using the homeostatic model assessment, systolic blood pressure, triglycerides, total cholesterol/high-density lipoprotein cholesterol, sum 4 skinfolds, and cardiorespiratory fitness (CRF). Analyses of covariance were performed to discern differences on cardiometabolic risk scores among PA categories and each health component.

Results:

The cardiometabolic risk score was lower in adolescents meeting the MVPA recommendation and with less time spent in SB in comparison to the high-SB & Inactive group (p < 0.05). However, no difference in cardiometabolic risk score was established between High-SB or Low-SB groups in inactive adolescents. It is important to note that CRF was the only variable that showed a significant modification (higher) when children were compared from the category of physically inactive with "active" but not from high- to low-SB.

Conclusion:

Being physically active is the most significant and protective outcome in adolescents to reduce cardiometabolic risk. Lower SB does not exhibit a significant and extra beneficial difference.

KEYWORDS:

Accelerometry; Cardiovascular disease; Exercise; Metabolic disease; Sedentary lifestyles

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