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Determining the Association of Youth's Physical Activity and Sedentary Behaviors with Weight Status
Author(s) -
Taylor Erin M,
Keim Kathryn S.,
Mullen Mary C.,
Sowa Diane C.,
Lui Karen J.
Publication year - 2017
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.31.1_supplement.lb377
Subject(s) - overweight , logistic regression , obesity , screen time , bedroom , percentile , physical activity , childhood obesity , medicine , demography , odds , physical activity level , association (psychology) , body mass index , odds ratio , gerontology , psychology , physical therapy , sociology , statistics , civil engineering , mathematics , engineering , psychotherapist , pathology
Over the past decade the weight status of children in the United States has been increasing, making it an urgent health problem. Physical activity and screen time behaviors have been associated with the prevention and treatment of childhood obesity. Recommendations for these behaviors were set by the Expert Committee in order to prevent and treat overweight and obesity. Objective To determine the association between the youth's demographic, physical activity, and sedentary behaviors with weight‐status using items assessed on the Child Nutrition and Physical Activity (CNPA) screener. Design A cross sectional study was conducted using a retrospective chart review method. Methods The CNPA screener was given to all parents who came to the Rush University Pediatric Primary Clinic between 2012–2015. Responses to questions regarding physical activity, sedentary behavior, and parent perception of youth's weight status were assessed. Chi square analysis was used to determine the association between demographic characteristic, physical activity, sedentary behaviors, weight status, and weight status perception. Forward Wald logistic regression analysis was conducted with odds of being overweight, obese, and severe obese compared to healthy weight. All procedures were approved by IRB. Results The sample consisted of 2,230, 2–18 year old children who were 51% male, 60% non‐Hispanic Black, and 61% of a healthy BMI percentile. Using forward Wald logistic regression analysis, 9 variables were entered into the model‐age, sex, race, meeting physical activity recommendation, meeting media recommendation, whether a TV was in the bedroom, and accuracy of weight perception. The model was statistically significant χ 2 (6, N=2079) = 1093.37, p <.001, indicating that the model was able to distinguish between healthy weight children and those who were overweight, obese, or severe obese. The model explained 40.9% to 55.5% of the variance in weight status and correctly classified 83.5% of cases. Increasing age (1.14 OR (95% CI 1.10–1.17)) (p<.001) and being Hispanic 1.72 OR (95% CI 1.30–2.26) (p<.001) increased the odds of being overweight, obese, or severe obese. Meeting physical activity recommendation (0.60 OR (95% CI 0.45–0.81)) (p=.001) media recommendation 0.76 OR (95% CI 0.57–0.996) (p=.047), not having a TV in the bedroom (0.67 OR (95% CI 0.51–0.87)) (p=.002), and parent accurate weight perception (0.02 OR (95% CI 0.01–0.03)) (p<.001) decreased the odds of being overweight, obese, or severe obese. Conclusion The odds of being overweight or obese were higher if the child was older or Hispanic and lower if they met the physical activity, media, no TV in bedroom recommendations and had accurate perception of weight status. Meeting the recommendation for all physical activity and sedentary behaviors entered in to the model decreased the odds of being overweight or obese. Support or Funding Information Departmental funding