Academic journal article Journal of Physical Education and Sport

Physical Fitness Assessment Using Supervised SOM Classification Based on BMI of College Students, Northern China

Academic journal article Journal of Physical Education and Sport

Physical Fitness Assessment Using Supervised SOM Classification Based on BMI of College Students, Northern China

Article excerpt

Introduction

Adolesent obesity and its associated risks have been lised as parts of national strategy by the government as one of the biggest threats to public health in China (Gu et al., 2005; Tian et al., 2016; Wang, Mi, Shan, Wang, & Ge, 2007). Overweight and obesity are defined as abnormal or excessive fat accumulation that may impair health (P. S. Collaboration, 2009). Being overweight or obese is associated with an increased risk for a number of common causes of disease and death including diabetes, cardiovascular disease and some cancers (B. P. L. T. T. Collaboration, 2015; G. B. M. Collaboration, 2016; Flegal, Kit, Orpana, & Graubard, 2013). These problems continue to provoke national and international concerns. Meanwhile, there is considerable evidence linking obesity with lots of long-term and immediate physiological health risks which highlights the importance of revealing early overweight and obesity (Roswall et al., 2017). Especially for childhood and adolescent, the obesity can persist into adulthood to induce the direct severe health risks. The previous researches have revealed that approximaltly up to 50% of obese adolescents remain obese in adulthood (Calle, Rodriguez, Walker-Thurmond, & Thun, 2003; Flegal et al., 2013; Krause, Ware, McPherson, Lennox, & O'Callaghan, 2016). In addition to the increased potential risks for health problems, adolescents still face immediate health consequences due to obesity, including hyperlipidemia (Rao et al., 2016), hypertension (Singh, Pandey, & Rani, 2017) and other physiological and psychological problems (Crews, Schneider, Yalla, Reeves, & Vileikyte, 2016). In addition, previous researches have shown high levels of dissatisfaction with body size and shape amongst femal colledge students, as well as a desire to be thinner with trend of more prevalent among girls (Joseph et al., 2016; Moussally, Brosch, & Van der Linden, 2016), and other psychological issues of low self esteem, depression, et al (Crews et al., 2016).

For individuals, the risk of poor health increases sharply with increasing BMI (Calle et al., 2003; Roswall et al., 2017). BMI has been shown the high correlation with adiposity in both adults (Tian et al., 2016) and children (Kabisch, van den Bosch, & Lafortezza, 2017), and it is reasonable indicator in measure of overweight and obesity which has been used to evaluate the physical fitness health for long time. BMI is also used to produce the trends, estimates and other overweight porblem (Finucane et al., 2011). Dolton and Xiao (2015) investigated the relationship of BMI intergenerational transmission in China, and the results from He et al. (2015) indicated the lower BMI cutoffs is suitable to to define overweight and obesity in China. BMI has been the most appropriate indicator in the classification of physical fitness with emphasis on obesity issues. For college students, regular physical activity has been certificated contributes to good health (Pellicer-Chenoll et al., 2015). The good physical state is always associated to many physical activities, as well as preventing diseases such as obesity, diabetes and hypertension et al. In addition the increase of moderate physical activity for college students has a positive effect on mental and physical health which enhances opportunities to improve academic performance. In China, the physical fitness test for all students from primary school to university has been implemented for many year, and public physical fitness has been promoted as national strategy by the government.

This study selected 6531college students (2366 samples for male and 4165 samples for female) in northern China as the a random sample. The total nine physique indicators for both male and femal students were employed to evaluate the physical fitness of college students. The supervised SOM (self organization map) based on BMI indicator was used to classify the data into 6 clusters for both male and female students. …

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