인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
This study aim at describing the relations between daily average steps (DAS), body compositions and hemodynamic indices in female college students varying in daily steps, and is to evaluate cause and effect indicators impacting pedometer-determined steps and abdominal obesity. Participants in this study were female college students (n=22) who were divided into two groups(under 5,000 steps/day: IAG, n=8; more than 5,000 steps/day: SAG, n=14) on the basis of mean daily 5,000 steps. The t-test assesses whether the actual differences of two groups are statistically significant from each other. Multiple regression analysis was used for prediction of the relationship between dependant variables (daily steps, abdominal obesity) and independent variables (the indicators of body compositions and hemodynamics). The results are listed as follows: First, IAG`s DAS in college female students were about 3,600 steps, however, SAG walked about 6,300 steps per day. Second, IAG showed significantly higher level of the indicators of obese and lean body mass. However, when these indexes compared to body-weight ratio, SAG was significantly low in obese factors and high in lean body mass variables. Third, the increase or decrease in steps and abdominal obesity of IAG accompanied by the increase or decrease in body composition indicators, while SAG accompanied by the increase or decrease in hemodynamic indices. Therefore, the possibility of getting under 5,000 steps per day in female college students was about 38 percentage. Evaluating the relationship between steps per day and body compositions was needed to estimate the ratio of body composition variables to body weight. This study suggests that obese persons with low exercise quantity need to concentrate on improve body composition variables, and that normal body weight individuals with somewhat amount of exercise is necessary to focus on managing hemodynamic parameters.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.