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메타분석과 네크워크-메타분석에 의한 스마트폰기반 신체활동증진 프로그램의 조절변인 효과검증

Effects of Smartphone-based Physical Activity Interventions Comparing Meta Analysis and Network-Meta Analysis

이미영|윤지운
한국체육측정평가학회 (Korean Society For Measurement And Evaluation In Physical Education And Sports Science)|2018.12|한국체육측정평가학회지 (The Korean Journal of Measurement and Evaluation in Physical Education and Sports Science)|제20권 제4호|pp. 129-146|DOI 10.21797/ksme.2018.20.4.010

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참고문헌

키워드

빅데이터Social Network Analysis소셜네트워크Big Data측정오차Measurement errorSedentary behavior좌식행동

초록

이 연구의 목적은 메타분석과 네트워크-메타분석을 적용하여 스마트폰기반 신체활동 프로그램의 조절변인에 대한 효과를 검증하는데 있다. 세부목적으로서 1) 스마트폰기반 신체활동 프로그램의 사전-사후 효과크기를 분석하고, 2) 신체활동 증진에 대한 조절변인의 효과크기를 검증하며, 3) 기존 메타분석과 네트워크-메타분석에서 얻은 결과를 비교하였다. 메타분석과 네트워크-메타분석에 이용된 최종 논문은 16편의 66개 조절변인으로서 연구대상집단, 연령대, 프로그램 기간, 신체활동 처치방법, 피드백방법, 측정도구를 포함하였다. 메타분석의 자료처리는 사전-사후 시행간 평균치, 표준편차, 통합표준편차, 표준화 평균치 차이와 95% 신뢰구간을 먼저 계산하였고, 연구들간 효과크기의 동질성과 이질성을 검증하기 위해 Q와 I2을 계산하였다. 메타분석결과에 의하면, 연령이 낮은 집단보다 60대 이상의 연령에 보다 효과적이고, 스마트폰을 활용한 프로그램과 보행계수계를 이용하거나, 처치기간이 8주 이하일 경우 스마트폰 기반 신체활동 프로그램에 보다 효과적인 것으로 확인되었다. 네트워크-메타분석에 의하면, 메타분석과 유사한 결과로서 중고강도 신체활동보다 보행수를 증가시킬 수 있는 신체활동 프로그램이 높은 효과를 보였고, 스마트폰 사용이 다른 조절변수 보다 현저하게 높았다. 연구결과를 종합해볼 때, 네트워크-메타분석이 보다 풍부한 정보를 제공하고, 추후 연구에서는 스마트폰을 이용하여 신체활동 프로그램을 계획할 경우 신체활동량을 장기간 지속적으로 증가시킬 수 있는 방법, 건강한 일반인과 연령대가 낮은 대상자의 흥미를 유발시킬 수 있는 방안이 제시되어야 할 것이다.

Abstract

The purpose of this study was to conduct a meta analysis and network-meta analysis to examine the effect of smartphone-based physical activity intervention. The specific aims of the study was 1) to summarize and synthesize of smartphone-based physical activity intervention effects, 2) to scrutinize determinants of moderator variables smartphone-based physical activity programs, and 3) compare findings obtained from meta analysis and network-meta analysis. Sixteen articles with 66 moderator variables such as populations, ages, period of interventions, treatments, feedbacks, and measures were included in the data analysis. Standardized mean difference and 95% confidence interval based on random-effect model were calculated, and homogeneity and heterogeneity of effect sizes were examined by Q and I2 for the meta analysis. Degree centrality, weight, Frequency and means weight as well as effect map were derived for network-meta analysis. As a result of meta analysis, utilizing smartphone, higher age group, pedometer use, shorter period of interventions were more effective for smartphone-based physical activity. From the network-meta analysis, increasing steps was more effective than moderate and vigorous intensity of physical activity and walking time when smartphone-based physical activity program is conducted. In the future study, it should be considered to develop a smartphone-based physical activity intervention for younger population and to conduct researches for a long-term effect.

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