1. Valid and invalid accelerometry data among children and adolescents: comparison across demographic, behavioral, and biological variables.
- Author
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Loprinzi PD, Smit E, Cardinal BJ, Crespo C, Brodowicz G, and Andersen R
- Subjects
- Adolescent, Adolescent Behavior psychology, Body Mass Index, Child, Child Behavior psychology, Cholesterol, HDL blood, Cotinine blood, Cross-Sectional Studies, Female, Humans, Male, Nutrition Surveys, Reproducibility of Results, Waist Circumference physiology, Accelerometry standards, Accelerometry statistics & numerical data, Motor Activity physiology
- Abstract
Purpose: To examine whether there are differences between demographic, behavioral, and biological variables for those with invalid accelerometry data (IAD) and those with valid accelerometry data (VAD)., Design: Cross-sectional., Setting: Data from 2003-2006 National Health and Nutrition Examination Survey (NHANES) were used., Subjects: Participants included 1,315 children (i.e., 6-11 years) with VAD and 534 children with IAD and 1,859 adolescents (i.e., 12-17 years) with VAD and 1,057 with IAD., Measures: Physical activity (PA) was measured using an accelerometer, with questionnaires used to assess demographic and behavioral variables and biological parameters assessed from a blood sample., Analysis: Wald and design-based likelihood ratio tests and logistic regression were used to assess differences between those subjects with IAD and those with VAD., Results: After adjustments, overweight children, compared to normal weight children, were 1.6 (odds ratio [OR] = 1.67; 95% confidence interval [CI]: 1.22-2.29) times more likely to have IAD. After adjustments, and as an example, adolescents engaging in 4 or more hours of computer use per day, compared to no computer use, were 2.6 (OR = 2.6; 95% CI: 1.38-5.18) times more likely to have IAD., Conclusion: Excluding youth with IAD may introduce bias, limit generalizability, and ultimately underestimate the association between PA and health outcomes. Future research is needed to identify reasons for poor monitoring compliance.
- Published
- 2014
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