Literature DB >> 8883004

Determinants of physical activity in obese children assessed by accelerometer and self-report.

L H Epstein1, R A Paluch, K J Coleman, D Vito, K Anderson.   

Abstract

Previous research has shown that predictors of activity in adults depend upon the method of measurement. This study is designed to assess the predictors of activity in a sample of 59 obese children. Activity was measured using self-reported and TriTrac accelerometer METs. Self-report and TriTrac accelerometer measures were moderately correlated, r = 0.46, with the self-reported activity (2.3 METs) significantly greater than TriTrac (1.6 METs). Hierarchical regression analysis examined the influence of socioeconomic level, body composition, fitness, hedonics of child and adult activity behaviors, and decisional balance on self-reported and accelerometer-measured activity, controlling for child and parent psychopathology. Child and parent psychological symptoms accounted for 8.3% and 3.4% of the variance in accelerometer and self-reported METs, respectively. The model for accelerometer-measured activity showed socioeconomic level and parent self-report of activity accounted for 14.8% of the incremental variance in child activity. The model for self-report of child activity found that child fitness accounted for 23.5% of the incremental variance in child activity. These results suggest that the predictors of activity level are different based upon the method of measurement, consistent with research in adults.

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Mesh:

Year:  1996        PMID: 8883004     DOI: 10.1097/00005768-199609000-00012

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  16 in total

1.  Physical activity in epidemiology: moving from questionnaire to objective measurement.

Authors:  K F Janz
Journal:  Br J Sports Med       Date:  2006-03       Impact factor: 13.800

2.  Imputation of missing data when measuring physical activity by accelerometry.

Authors:  Diane J Catellier; Peter J Hannan; David M Murray; Cheryl L Addy; Terry L Conway; Song Yang; Janet C Rice
Journal:  Med Sci Sports Exerc       Date:  2005-11       Impact factor: 5.411

Review 3.  Measurement of physical activity in children with particular reference to the use of heart rate and pedometry.

Authors:  A V Rowlands; R G Eston; D K Ingledew
Journal:  Sports Med       Date:  1997-10       Impact factor: 11.136

4.  Parental influence on child change in physical activity during a family-based intervention for child weight gain prevention.

Authors:  Kristen Holm; Holly Wyatt; James Murphy; James Hill; Lorraine Odgen
Journal:  J Phys Act Health       Date:  2011-07-29

5.  Correlates of physical activity in black, Hispanic, and white middle school girls.

Authors:  Evelyn B Kelly; Deborah Parra-Medina; Karin A Pfeiffer; Marsha Dowda; Terry L Conway; Larry S Webber; Jared B Jobe; Scott Going; Russell R Pate
Journal:  J Phys Act Health       Date:  2010-03

6.  Pathways linking perceived athletic competence and parental support at age 9 years to girls' physical activity at age 11 years.

Authors:  Kirsten Krahnstoever Davison; Danielle Symons Downs; Leann L Birch
Journal:  Res Q Exerc Sport       Date:  2006-03       Impact factor: 2.500

7.  Pathways: A school-based program for the primary prevention of obesity in American Indian children.

Authors:  Benjamin Caballero; Sally Davis; Clarence E Davis; Becky Ethelbah; Marguerite Evans; Timothy Lohman; Larry Stephenson; Mary Story; Jean White
Journal:  J Nutr Biochem       Date:  1998-09       Impact factor: 6.048

Review 8.  Parental correlates of physical activity in children and early adolescents.

Authors:  Sabrina L Gustafson; Ryan E Rhodes
Journal:  Sports Med       Date:  2006       Impact factor: 11.136

9.  Using Wavelet-Based Functional Mixed Models to Characterize Population Heterogeneity in Accelerometer Profiles: A Case Study.

Authors:  Jeffrey S Morris; Cassandra Arroyo; Brent A Coull; Louise M Ryan; Richard Herrick; Steven L Gortmaker
Journal:  J Am Stat Assoc       Date:  2006-12-01       Impact factor: 5.033

10.  Effect of varying accelerometry criteria on physical activity: the look ahead study.

Authors:  Gary D Miller; John M Jakicic; W Jack Rejeski; Melicia C Whit-Glover; Wei Lang; Michael P Walkup; Mimi L Hodges
Journal:  Obesity (Silver Spring)       Date:  2013-01       Impact factor: 5.002

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