Cargando…

Children with congenital heart disease exhibit seasonal variation in physical activity

OBJECTIVE: We sought to identify seasonal variation in physical activity that different physical activity measurement tools can capture in children with congenital heart disease. METHODS: Data were collected as part of a prospective cohort study at BC Children’s Hospital, Vancouver, Canada. Daily st...

Descripción completa

Detalles Bibliográficos
Autores principales: Kuan, Mimi T. Y., Voss, Christine, Lopez, Jimmy, Hemphill, Nicole M., Harris, Kevin C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644044/
https://www.ncbi.nlm.nih.gov/pubmed/33151936
http://dx.doi.org/10.1371/journal.pone.0241187
Descripción
Sumario:OBJECTIVE: We sought to identify seasonal variation in physical activity that different physical activity measurement tools can capture in children with congenital heart disease. METHODS: Data were collected as part of a prospective cohort study at BC Children’s Hospital, Vancouver, Canada. Daily step counts of children aged 9–16 years with moderate-to-severe CHD were assessed continuously for 1-year via a commercial activity tracker (Fitbit Charge 2(™)). Physical activity levels were also assessed conventionally at one time-point via accelerometers (ActiGraph) and physical activity questionnaires. RESULTS: 156 children (mean age 12.7±2.4 years; 42% female) participated in the study. Fitbit data (n = 96) over a 1-year period clearly illustrated seasonal peaks (late spring and autumn) and dips (winter and summer school holidays) in physical activity levels, with group mean values being below 12,000 steps per day throughout the year. According to conventional accelerometry data (n = 142), 26% met guidelines, which tended to differ according to season of measurement (spring: 39%, summer: 11%, fall: 20%, winter: 39%; p-value = 0.053). Questionnaire data (n = 134) identified that the most widely reported activities were walking (81%) and running (78%) with walking being the highest in summer and fall and running in winter and spring. Furthermore, regardless of overall activity levels the children exhibit similar seasonal variation. CONCLUSIONS: We demonstrated that physical activity level changes across seasons in children with CHD. It is important to be aware of these fluctuations when assessing and interpreting physical activity levels. Season specific counselling for physical activity may be beneficial in a clinical setting.