모바일 앱을 이용한 일상생활의 보행 변인과 연령 및 신체질량지수의 관련성

Abstract

The purpose of this study was to examine the relationship between gait variables and age and body mass index(BMI) in daily life using a mobile app. The subjects of this study were a total of 197 men and women aged 40 to 80 residing in the 7 metropolitan cities of Korea. In addition, in order to examine gait variables according to BMI, according to the classification criteria of WHO, those with less than 18.5~23.0 kg/m² are in the normal weight group(n=65), those with less than 23~25 kg/m² are in the overweight group(n=72), Those over kg/m² were classified as obese groups(n=60). After downloading the Brainwork 1.36 app to the subject, the number of steps, walking time, walking distance, and walking speed were recorded for two weeks. For data processing, LSD(least significant difference) was verified through one-way ANOVA using Windows SPSS 22.0. Pearson's product correlation was used to analyze the correlation of each variable. BMI showed a significant correlation with the average number of steps(r= -.354), walking distance(r= -.317), and walking speed(r= -.203). BMI was higher in the group with less than 5,000 steps than the group with 5,000~7,499 steps, and the group with more than 7,500 steps showed the lowest(p<.05). The average walking time was higher in the 60-year-old group than in the 40-49-year-old group and the 50-59-year-old group(p<.001). The gait variable according to BMI was higher in the normal group compared to the overweight group and the obese group(p<.05). In conclusion, it was suggested that the walking variable in daily life using the mobile app is related to the age of ordinary adults and BMI.