Associations between sleep, physical activity and weight status in adolescents (CROSBI ID 682125)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa
Podaci o odgovornosti
Jurić, Petra ; Mišigoj-Duraković, Marjeta ; Sorić, Maroje
engleski
Associations between sleep, physical activity and weight status in adolescents
Introduction: Lack of sleep in adolescents influences cognitive performance, mood, glucose metabolism, regulation of appetite and immune function (Dolezal, Neufeld, Boland, Martin & Cooper, 2017) and negatively affects the fulfillment of school and academic obligations (Seipp, 1991). Shorter duration of sleep is associated with extra calorie intake and poor quality of food and obesity in adolescents (Chaput, & Dutil, 2016). Physical inactivity is considered to be the fourth among the leading risk factors for early mortality worldwide (WHO, 2010). It is associated with an increased incidence of cardiovascular and metabolic diseases as well as with higher risk of several types of cancer (WHO, 2010). Physical activity (PA) in adolescence is positively linked to PA later in life and is essential for long-term bone health (Hallal, Victora, Azevedo & Wells, 2006). Both short sleep and insufficient PA have been linked with overweight in children (Shochat, Cohen-Zion & Tzischinsky, 2014). Methods: This investigation is a part of the CRO-PALS study. For the purpose of this investigation, 121 adolescents (45 boys, 76 girls ; mean age=15.6 years, SD=0.4) with objective data on both sleep and PA were included in the analyses. To objectively measure sleep and PA we asked the participants to wear the SenseWear Pro3 Armband™ (SWA) activity and sleep monitor (BodyMedia Inc) for 5 consecutive days. Sleep measure included total sleep time (TST) and the average daily duration of activities requiring >4 METs was chosen as a measure of moderate-to-vigorous PA (MVPA). To assess weight status, weight and height were measured according to standard procedures and BMI was calculated. In addition to this, the sum of 4 skinfolds (So4S) was obtained by measuring biceps, triceps, subscapular, and suprailiac skinfolds with hand caliper. The categorization of overweight adolescents was performed according to the age and gender specific IOTF cut-offs (Cole & Lobstein, 2012). Multiple liner regression analysis and logistic regression analysis were used to assess the associations of sleep and physical activity with weight status. Results: The results of regression analyses are shown in tables 1 and 2. In short, MVPA was related to BMI (p<0.001), while TST showed no associations (p=0.95). Similarly, a significant effect of MVPA (p=0.01) on the So4S was noted, whereas TST was not associated with So4S (p=0.54).
Sleep, physical activity, weight, adolescents
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Podaci o prilogu
234-235.
2019.
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objavljeno
Podaci o matičnoj publikaciji
Podaci o skupu
30th FIEP World Congress, 14th FIEP European Congress and 2nd FIEP Catalan Congress
predavanje
27.06.2019-29.06.2019
Barcelona, Španjolska