Furthermore, most tracking studies have examined overall tracking, and few have focused on children with low-levels of PA who are at a great risk of poor metabolic health. Yet, these attributes are rarely considered in the tracking studies. PA patterns are likely to differ based on their social context (e.g., school vs. However, most of the reviewed studies used subjective measures or a small sample size, both of which limited the investigators’ ability to examine specific characteristics of PA. on tracking of PA suggested low to moderate tracking during childhood and adolescence. Evidence on that a PA lifestyle is sustainable from childhood to adolescence supports PA promotion interventions for young children and comprehensive K-12 school physical education aimed at an active lifestyle. From a public health perspective, PA interventions should be designed to “untrack” low PA Understanding of PA tracking during childhood is important to predict PA behaviors and design PA interventions. Whereas, tracking of high levels of PA is associated with metabolic health benefits presumably due to the accumulated effects of PA. Tracking of low levels of PA has deleterious health implications, e.g., the chronic effects of low PA contribute to an increased risk of obesity and poor cardiometabolic profiles
That is, children have a tendency to maintain their rank of PA within a group over time. , PA behaviors are presumed to be habitual. Supports for PA increase and maintenance of girls are needed.Īlthough the absolute level of physical activity (PA) decreases during childhood and adolescence The PA “routine” of weekdays should be used to help children establish healthy PA patterns. PA tracking was higher on the weekday than the weekend, and among inactive girls than active girls. Overall, tracking was lower for the weekend. The pattern was similar for MVPA among girls (ORs: 1.6 vs. Among girls, high VPA was less stable when compared low VPA (ORs: 1.8 vs. Resultsįor the weekday, VPA tracking for boys with high baseline VPA was higher than boys with low baseline VPA (ORs: 3.9 vs. Multinomial logistic regression models were fit to predict follow-up (M)VPA from baseline (M)VPA (reference: 20- < 80%tile), age at follow-up, and follow-up duration. Daily minutes spent in moderate- and vigorous-intensity PA (MVPA) and vigorous-intensity PA (VPA) was categorized into quintiles. Methodsĭata from ALSPAC, CLAN, Iowa Bone Development Study, HEAPS, PEACH were extracted from the International Children’s Accelerometry Database (ICAD), resulting in 5,016 participants with age, gender, and accelerometry data at both baseline and follow-up (mean age: 10.3 years at baseline, 12.5 years at follow-up).
We compared tracking of PA according to PA level and type of day (weekday/weekend) in a pool of five children’s cohort studies. Understanding of physical activity (PA) tracking during childhood is important to predict PA behaviors and design appropriate interventions.
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