Determining If Differences in Socioeconomic Status Are Associated With Screen Time Behavior and Physical Activity Levels

2016 ◽  
Vol 48 (7) ◽  
pp. S58-S59 ◽  
Author(s):  
Noreen Syed ◽  
M. Schneider
2012 ◽  
Vol 24 (3) ◽  
pp. 435-449 ◽  
Author(s):  
Sofiya Alhassan ◽  
Ogechi Nwaokelemeh ◽  
Manneh Ghazarian ◽  
Jasmin Roberts ◽  
Albert Mendoza ◽  
...  

This pilot study examined the effects of a teacher-taught, locomotor skill (LMS)- based physical activity (PA) program on the LMS and PA levels of minority preschooler-aged children. Eight low-socioeconomic status preschool classrooms were randomized into LMS-PA (LMS-oriented lesson plans) or control group (supervised free playtime). Interventions were delivered for 30 min/day, five days/week for six months. Changes in PA (accelerometer) and LMS variables were assessed with MANCOVA. LMS-PA group exhibited a significant reduction in during-preschool (F (1,16) = 6.34, p = .02, d = 0.02) and total daily (F (1,16) = 9.78, p = .01, d = 0.30) percent time spent in sedentary activity. LMS-PA group also exhibited significant improvement in leaping skills, F (1, 51) = 7.18, p = .01, d = 0.80). No other, significant changes were observed. The implementation of a teacher-taught, LMS-based PA program could potentially improve LMS and reduce sedentary time of minority preschoolers.


2019 ◽  
Vol 140 (2) ◽  
pp. 117-123
Author(s):  
MP Yargic ◽  
GB Kurklu

Aims: Physical inactivity in adolescents is a global health problem. Eighty percent of adolescents worldwide do not meet the minimum recommended physical activity. Although many adolescents define themselves as a ‘sports fan’, the relationships between sports spectatorship and sport participation in adolescents have not yet been investigated. Here, we determine whether there is a relationship between the levels of sports spectatorship and physical activity among adolescents. Methods: The Physical Activity Questionnaire for Adolescents (PAQ-A), Sport Spectator Identification Scale (SSIS) and three questions regarding total screen time spent watching a sports game and other sports-related screen time on weekdays and weekends were given to high school students in two cities in Turkey (Konya and Ankara). Results: After excluding 21 invalid questionnaires, a total of 1100 full and valid questionnaires were returned from the participants (578 females, 522 males). Participants were aged between 13 and 19 (median = 15) years. Female students had lower PAQ-A (median = 2.38, interquartile range (IQR) = 0.99) and SSIS scores (median = 19, IQR = 24) and less total screen time on weekends compared to male students (median PAQ-A = 2.64, IQR = 1.05; median SSIS = 29, IQR = 30) ( p < .05). The physical activity level of the students was significantly lower among those at higher grades. A weak positive correlation was found between SSIS scores and PAQ-A scores ( r = .28, p < .01). Multiple linear regression analysis revealed that sex, age and SSIS scores were all significant predictors of PAQ-A scores ( p < .001). Conclusions: When comparing female and male adolescents, we found that females scored significantly less in mean physical activity levels, screen time on weekends and sports spectator identification. A positive correlation was observed between sports spectator identification and physical activity levels, both in males and in females. Higher sports spectator identification, being younger and being male were all significant predictors of higher levels of physical activity.


2021 ◽  
Vol 16 (48) ◽  

El principal objetivo fue determinar si existen diferencias en los niveles de actividad física (NAF) y la intención de ser físicamente activo entre países en función del género, curso y estatus socioeconómico. Participaron 3052 adolescentes (14.58 ± 1.39 años), 1516 chicos y 1536 chicas. Del total, 734 chilenos y 2318 españoles. Las variables medidas fueron los NAF con el “International Physical Activity Questionnaire- Short Form” (IPAQ-SF), la intención de ser físicamente activo con el “Intention to be Physically Active” y el estatus socioeconómico familiar con el “Family Affluence Scale II” (FASII). Se encontraron diferencias significativas en los NAF y en la intención de ser físicamente activo entre países en función del género (p < .001), curso (p < .001) y estatus socioeconómico (p < .01), siendo más altas en España. Además, la relación de cada una de estas variables con los NAF y la intencionalidad varía según el país. Como la relación de las variables sociodemográficas con los NAF y la intención de ser físicamente activo varía en función del país sería necesario llevar a cabo más estudios transculturales que permitan realizar intervenciones de promoción de actividad física y salud adaptadas a las necesidades de cada lugar. === The main goal was to analyze the physical activity levels and the intention to be physically active differences between both countries regarding the gender, course and socioeconomic status. The sample was 3,052 adolescents (14.58 ± 1.39 years), 1,516 males and 1,536 females. From the whole participants, 734 were Chilean and 2,318 Spanish. Physical activity levels were measured using the “International Physical Activity Questionnaire- Short Form” (IPAQ-SF), the intention to be physically active using the “Intention to be Physically Active” scale and the socioeconomic status using the “Family Affluence Scale II” (FASII). There are significant differences in physical activity levels and the intention to be physically active between both countries according to the gender (p < .001), course (p < .001) and socioeconomic status (p < .01). Data were higher in Spain than Chile. Moreover, the relation between these sociodemographic variables with physical activity levels and the intention to be physically active were different regarding the country. As the relation between these sociodemographic variables with physical activity levels and the intention to be physically active is different according to the country, cross-cultural researches are required to develop physical activity and health interventions adapted to people`s needs.


2021 ◽  
Vol 19 (2) ◽  
Author(s):  
Jairo Azócar-Gallardo ◽  
◽  
Alex Ojeda-Aravena ◽  
◽  
◽  
...  

As a result of the closure of schools to control COVID-19 transmission, the lifestyle of schoolchildren changed, with an increase in excess malnutrition, sedentary behavior, decreased outdoor time and increased screen time. The modification in the execution of classes in their new modalities (on-site or virtual) does not modify the deleterious effects of the sedentary behavior of schoolchildren. Short cumulative active breaks can be an efficient strategy to meet the minimum physical activity recommendations suggested by the WHO for children and adolescents aged 5-17 years.


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