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Associations between Lifestyle Patterns and Body Mass Index in a Sample of Greek Children and Adolescents

Abstract Background Although eating and physical activity behaviors have been previously individually investigated with regard to overweight in children, multidimensional lifestyle patterns, based on these behaviors, have not been explored. Objective To assess lifestyle patterns in relation to body...

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Published in:Journal of the American Dietetic Association 2010-02, Vol.110 (2), p.215-221
Main Authors: Kontogianni, Meropi D., PhD, Farmaki, Anastasia-Eleni, MSc, Vidra, Nikoletta, MSc, Sofrona, Stavroula, MBA, Magkanari, Flora, MSc, Yannakoulia, Mary, PhD
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Language:English
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Summary:Abstract Background Although eating and physical activity behaviors have been previously individually investigated with regard to overweight in children, multidimensional lifestyle patterns, based on these behaviors, have not been explored. Objective To assess lifestyle patterns in relation to body mass index (BMI), in a nationally representative sample of the Greek pediatric population Design Cross-sectional study. Data were collected from May through July 2007. Subjects The sample consisted of 1,305 children and adolescents (ages 3 to 18 years). Main outcome measures Information on participants' dietary intake, eating behaviors, physical activity habits, and BMI were collected. Adherence to the Mediterranean diet guidelines was evaluated using the KIDMED Mediterranean diet quality index; the higher the score in this index the more favorable the dietary pattern. The Goldberg cut-off limits for the ratio of energy intake/basal metabolic rate were used to evaluate dietary low energy reporting and participants were accordingly classified as low-energy reporters. Statistical analysis Principal component analysis was performed to identify participants' lifestyle patterns. Associations between BMI and lifestyle patterns were further evaluated using multiple linear regression analyses, after controlling for potential confounders. Results Principal component analysis identified seven lifestyle patterns explaining 85% of the total variance of lifestyle habits. A lifestyle pattern characterized by higher eating frequency, breakfast consumption and higher KIDMED score was negatively associated with BMI (standardized β=−.125, P
ISSN:0002-8223
2212-2672
1878-3570
2212-2680
DOI:10.1016/j.jada.2009.10.035