Physical Activity among U.S. Preschool-Aged Children: Application of Machine Learning Physical Activity Classification to the 2012 National Health and Nutrition Examination Survey National Youth Fitness Survey.
Early childhood is an important development period for establishing healthy physical activity (PA) habits. The objective of this study was to evaluate PA levels in a representative sample of U.S. preschool-aged children. The study sample included 301 participants (149 girls, 3–5 years of age) in the...
| Published in: | Children Vol. 9; no. 10; pp. 1433 - 1440 |
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| Main Authors: | , , , |
| Format: | research tables/charts Journal Article |
| Published: |
MDPI
Oct2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=159903156&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159903156 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 22279067 LW6K jtl: Children issn: 22279067 maglogo: N pubinfo: dt: Oct2022 vid: 9 iid: 10 pid: 97109 pub: MDPI artinfo: ui: 159903156 159903156 159903156 10.3390/children9101433 159903156 ppf: 1433 ppct: 7 formats: tig: atl: Physical Activity among U.S. Preschool-Aged Children: Application of Machine Learning Physical Activity Classification to the 2012 National Health and Nutrition Examination Survey National Youth Fitness Survey. aug: au: Kwon, Soyang O'Brien, Megan K. Welch, Sarah B. Honegger, Kyle affil: Department of Pediatrics, Northwestern University, 225 E Chicago Ave. Box 157, Chicago, IL 60611, USA sug: subj: Machine Learning United States Physical Activity Classification National Health Programs Nutrition Physical Fitness Physical Activity Evaluation Human United States Child, Preschool Female Child Accelerometers Random Forest Algorithms Running Walking Data Analysis Software Confidence Intervals Descriptive Statistics Linear Regression Funding Source Child, Preschool: 2-5 years Child: 6-12 years Female ab: Early childhood is an important development period for establishing healthy physical activity (PA) habits. The objective of this study was to evaluate PA levels in a representative sample of U.S. preschool-aged children. The study sample included 301 participants (149 girls, 3–5 years of age) in the 2012 U.S. National Health and Examination Survey National Youth Fitness Survey. Participants were asked to wear an ActiGraph accelerometer on their wrist for 7 days. A machine learning random forest classification algorithm was applied to accelerometer data to estimate daily time spent in moderate- and vigorous-intensity PA (MVPA; the sum of minutes spent in running, walking, and other moderate- and vigorous-intensity PA) and total PA (the sum of MVPA and light-intensity PA). We estimated that U.S. preschool-aged children engaged in 28 min/day of MVPA and 361 min/day of total PA, on average. MVPA and total PA levels were not significantly different between males and females. This study revealed that U.S. preschool-aged children engage in lower levels of MVPA and higher levels of total PA than the minimum recommended by the World Health Organization. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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