보행계수기를 이용한 좌업근로여성의 시간대별 신체활동 패턴 추정
Estimation of Hourly Physical Activity Pattern in Sedentary Working Women using Pedometer
1
조회
0
다운로드
5
인용
0
참고문헌
키워드
초록
이 연구는 좌업근로여성을 대상으로 주중과 주말로 기간을 나누어 하루내의 시간대별로 보행계수기에 의한 보행 패턴을 분석하는데 목적이 있다. 총 106명의 좌업근로 여성이(나이: 19~38세, M= 27.2, SD=3.1; BMI: 16~26, M=20.0kg/㎡, SD=1.9) 연구에 참여하였다. 시간대별 보행수는 보행계수기(Yamax SW-650)로 오전 9시부터 오후 10시까지 매시 정각에 휴대폰 문자메시지의 송수신에 의해 주중(월~금)과 주말(토~일) 총 7일간 수집되었다. 수집된 자료는 먼저 좌업근로 여성들의 주중과 주말 보행패턴을 확인하기위해 시간당 보행수(steps/hour)의 기술 통계치를 주중과 주말로 나누어 산출하였다. 그리고 보행패턴의 경향성을 확인하기 위해 주중과 주말의 시간대별 보행수를 SPSS 11.0 하위프로그램인 Repeated Measures의 집단내 대비 검증[test of within-subject contrast (polynomial)]을 하였다. 주말과 주중의 시간대별 보행수는 주중 588±128steps/hour(범위: 416~ 791)였으며, 주말 477±87steps/hour(범위: 271~614)로 조사되었다. 좌업근로 여성의 시간대별 보행패턴은 다중 경향을 보였으며, 주중엔 1차식의 증가 경향성이 강한 것으로 주말에는 역U 형태의 2차식의 경향이 강한 것으로 나타났다. 하루내의 신체활동패턴을 확인하는 것은 신체활동 중재프로그램에서 진단평가로 활용될 수 있을 뿐만 아니라 개인별로 피드백을 주고 중재전략을 수립하는데 구체적인 정보를 제공할 수 있을 것으로 기대된다.
Abstract
The purpose of this study was to examine hourly ambulatory patterns for sedentary women between weekdays and weekends. A total of 106 sedentary women were recruited for this study (27.2±3.1 yrs.; 20.0±1.9 kg/m2). The number of steps was measured by Yamax pedometer (SW-650), and the data were collected through the cell phone and text messaging every hour from 9am to 10pm over seven days, including weekends (i.e., 5 weekdays and 2 weekends). Descriptive statistics, including steps/hour mean and standard deviation, were calculated between weekdays and weekends. In addition, tests of within-subject contrast(polynomial) using SPSS were used to determine trends of hourly ambulatory patterns. The average number of steps was 588±128 steps/hour (ranged from 416 to 791) in weekdays and 477±87 steps/hour (ranged from 271 to 614) in weekends. Tests of within-subject contrast(polynomial) results showed that the hourly ambulatory patterns for sedentary women were somewhat linear as gradually increased shape in weekdays and quadratic as inversed U shape in weekends, respectively. Identifying hourly physical activity pattern is crucial because it helps diagnosis physical activity intervention program, provide individual feedback, and design effective physical activity intervention.
참고문헌 (31)
- "15세 이상 사망원인별 사망자 수" (2004), 통계청
- Balady, G. J, "ACSM's guidelines for exercise testing and prescription(6th ed.)" (2000), Philadelphia: Lippincott, Williams & Wilkins
- "Accuracy of five electronic pedometers for measuring distance walked", 28, pp.1071~1077 (1996)
- "Validity of four motion sensors in measuring moderate intensity physical activity", 32, pp.S407~S480 (2000)
- Bassett, D. R. J, "Use of pedometers to assess physical activity", pp.163~178 (2002), Champaign, H.: Human Kinetics
- "Prevalence of no leisure-time physical activity-35 states and the District of Columbia, 1988-2000", 53, pp.82~86 (2004)
- "Health benefits of a pedometer-based physical activity intervention in sedentary workers", 39, pp.1215~1222 (2004)
- Croteau, K. A, "A preliminary study on the impact of a pedometer-based intervention on daily steps", 18(3), pp.217~220 (2004)
- "Validity of 10 electronic pedometers for measuring steps, distance, and energy cost", 35(8), pp.1455~1460 (2003)
- "Minimal-Contact Physical Activity Intervention in Women: A Pilot Study", 28(3), pp.280~286 (2004)
- "Evaluation of social-cognitive versus stage-matched, self-help physical activity interventions at the workplace", 20(3), pp.200~209 (2006)
- "Experimental determination of effectiveness of an individual information-centered approach in recovering step-count missing data", 9(4), pp.233~250 (2005)
- Le Masurier, G. C, "Accumulating 10,000 Steps: Does This Meet Current Physical Activity Guidelines?", 74(4), pp.389~ (2003)
- "Comparison of pedometer and accelerometer accuracy" (2003)
- "Physical activity and coronary heart disease in women: is ＂no pain, no gain＂ passe?", 285, pp.1447~1454 (2001)
- Lengfelder, W, "Physical inactivity: a modifiable risk factor in primary prevention?", 96(11), pp.661~669 (2001)
- "Walking compared with vigorous exercise for the prevention of cardiovascular events in women", 347, pp.716~725 (2002)
- "Comparison of activity monitors worn during treadmill walking", 30, pp.S11~ (1998)
- "and longevity of college alumni New England Journal of Medicine", pp.605~613 (1986)
- "Physical activity and incidence of hypertension in college alumni American Journal of Epidemiology", pp.245~257 (1983)
- "Impact of Promoting Lifestyle Activity for Youth(PLAY) on Children's Physical Activity", 73(8), pp.317~321 (2003)
- "Open-Loop Feedback Increase Physical Activity of Youth", 36(4), pp.668~673 (2004)
- "Is Knowing Enough? Increasing Physical Activity by Wearing a Pedometer", 102(4) (2003)
- "Increasing daily walking improves glucose tolerance in overweight women", 37(4), pp.356~362 (2003)
- "Pedometer measurement of free-living physical activity: comparison of 13 models", 36, pp.331~335 (2004)
- "Accuracy and reliability of 20 pedometers for measuring steps over a 400m walk", 35, pp.1779~1784 (2003)
- "Taking steps towards increased physical activity: Using pedometers to measure and motivate", 3(17), pp.1~8 (2002)
- "A Preliminary Study to Determine Instrument Responsiveness to Change with a Walking Program: Physical Activity Logs Versus Pedometers", 72(3), pp.288~292 (2001)
- "Methodological considerations for researchers and practitioners using pedometer to measure physical (ambulatory) activity", 72, pp.1~12 (2001)
- "Preliminary outcome evaluation of the First Step Program: a daily physical activity intervention for individuals with type 2 diabetes", 47, pp.23~28 (2002)
- "Daily walking combined with diet therapy is a useful means for obese NIDDM patients not only to reduces body weight but also to improve insulin sensitivity", 18, pp.775~778 (1995)