Abstract
This study aims to investigate the effects of education and socio-economic status on regular physical activity levels in 1350 males and 1350 female participants at the age range of 14-95 years. Results of this study showed that the mean body height and weight were significantly differentiated depending on male participants’ educational status and monthly income level. There were significant differences in female participants’ body height and body weight depending on their educational status. Only significant difference was observed in the mean of female’s body height depending on monthly income level. The physical activity level of uneducated participants was highest in males and females. Significant negative correlations were observed between physical activity and educational status in males (r=-,108, p<.01) and females (r=-,129, p<.01). It can be concluded that physical activity level in both genders was effected by educational status not monthly income level.Keywords: Physical activity, socieconomic, education level.
Highlights
The participation rate in regular physical activity was increased from 3.5% to 33% in Turkey (Ceker, Cekin & Ziyagil, 2015)
This study examines the possible relations of education level and monthly income to regular physical activity level from adolescents and adults for developing effective promotion strategies
Results of this study showed that the mean body height and weight were significantly differentiated depending on male participants’ educational status and monthly income level
Summary
The participation rate in regular physical activity was increased from 3.5% to 33% in Turkey (Ceker, Cekin & Ziyagil, 2015). In the participation of physical activity, males had a higher percentage (32.95%) than females (28.08%) while exercise participation percentages decreased with increasing age in both gender. These percentages are still the lowest for participation level in regular physical activity compared to European Countries. Monthly income shows current economic or materialistic welfare. Both of these socio-economic parameters are related to physical activity levels. Schnohr (2004) demonstrated that participants with the lowest level of education were frequently both physically inactive and heavy smokers
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