가속도계로 측정한 국민건강영양조사 신체활동 자료 처리방법과 활용
KNHANES Actigraph Raw Data Processing
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초록
본 연구는 2014년도 국민건강영양조사에 포함된 가속도계 측정 신체활동 원자료 처리 방법을 소개하고, 그 적용 사례로 해당년도 중고강도 신체활동 참여 실태를 분석하였다. 가속도계 측정 신체활동 원자료는 자료요약주기(epoch) 변환, 신체활동 강도수 절단점(intensity count cutoff point) 설정, 가속도계 착용/비착용 시간 판정 알고리즘 적용, 최소 착용 시간 기준 적용, 결측값 처리 방법 적용의 과정을 거쳐야 연구자의 목적에 맞는 데이터로서 형태를 갖추게 된다. 본 논문에서는 문헌고찰을 통해 1분 epoch, Troiano et al.(2008)의 중고강도 신체활동 intensity count cutoff point(중등도 신체활동=2,020cpm, 고강도 신체활동=5,999cpm) 및 비착용 시간 판정 알고리즘(90분 지속 0cpm, 2분 이하 <100cpm 허용), 하루 10시간 착용 기준을 적용하였다. 이로 인해 발생하는 일일 중고강도 신체활동 변인의 결측값은 다중회귀분석에 의한 다중대치 방법을 사용해 처리하고, 100개의 무결측 데이터를 생성해 모수 추정값을 통합(pooling)하였다. 2014년도 국민건강영양조사 참여 성인의 나이, 성별 보정 일주일간 중고강도 신체활동 시간은 96.87분, 신체활동 신철율은 21.29%로 나타났다. 이는 회상질문지(GPAQ)으로 추정한 신체활동 실천율인 59.8%에 비해 큰 차이를 나타낸 것으로, 국민건강영양조사와 같은 국가통계에서 가속도계와 신체활동 질문지의 병행사용 필요성이 제기되는 바이다.
Abstract
This study was purposed to introduce raw data processing of accelerometer-measured physical activity data as a part of the 2014 Korea National Health and Nutrition Examination Survey, and to demonstrate its application by analysing moderate- to vigorous-intensity physical activity (MVPA) in Korean adults. Accelerometer-measured physical activity raw data processing includes selection and application of epoch length, MVPA intensity count cutoff point, wear/non-wear time algorithm, minimum wear time on a day, and missing data imputation. This study selected 1-minute epoch, Troiano (2008)’s intensity cutoff point (MPA≥2,020cpm, VPA≥5,999cpm) and non-wear time algorithm (60 or more minutes of 0cpm, with allowance of <100cpm up to 2 minutes), and 10 or more hours of wear time on a day. Missing day-level data were replaced by MVN multiple imputation using Stata9.2 (StataCorp, USA) to produce 100 complete data set. Age- and sex-adjusted weekly MVPA was 96.87 minutes, and the adherence rate to the WHO aerobic physical activity guideline was 21.29%, which was substantially lower than the adherence rate estimated by GPAQ. This discrepancy suggests the need for parallel use of objective and subjective measures of physical activity in KNHANES as a national-level surveillance.
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