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한국인을 위한 신체활동분류표 개발: 미국의 신체활동목록 (Compendium of physical activities)을 이용하여
김은경(Eun-Kyung Kim),전하연(Ha-Yeon Jun),곽지연(Ji-Yeon Gwak),Justice Otoo Fenyi 한국영양학회 2021 Journal of Nutrition and Health Vol.54 No.2
To set the estimated energy requirement (EER) in Dietary Reference Intakes for Koreans (KDRI), we need the coefficient by physical activity stage, as determined by the physical activity level(PAL). Thus, there has been demand for a tool to calculate PAL based on the physical activity diary. This study was undertaken to develop a physical activity (PA) classification table for Koreans, using the 2011 Compendium of physical activities in the United States. The PA classification table for Koreans contains 262 codes, and values of the metabolic equivalent of task (MET) for specific activities. Of these, 243 PAs which do not have Korean specific data or information, were selected from the 2011 Compendium of PAs that originated in the United States; another 19 PAs were selected from the previous research data of Koreans. The PA classification table is codified to facilitate the selection of energy values corresponding to each PA. The code for each PA consists of a single letter alphabet (activity category) and four numeric codes that display the activity type (2 digit number), activity intensity (1 digit number), and specific activities (1 digit number). In addition, the intensity (sedentary behavior, low, middle and high) of specific PA and its rate of energy expenditure in MET are presented together. The activity categories are divided into 4 areas: Daily Activity (A), Movement (B), Occupation (C), and Exercise and Sports (D). The developed PA classification table can be applied to quantify the energy cost of PA for adults in research or practice, and to assess energy expenditure and physical activity levels based on self-reported PA.
한국 성인과 노인을 대상으로 이중표식수법을 이용한 신체활동분류표 타당도 평가
한혜지(Hye-Ji Han),전하연(Ha-Yeon Jun),박종훈(Jonghoon Park),Kazuko Ishikawa-Takata,김은경(Eun-Kyung Kim) 한국영양학회 2023 Journal of Nutrition and Health Vol.56 No.4
그동안 국내 연구에서 PAL을 산출하기 위해 사용해온 18단계 신체활동분류표로 신체활동을 평가하는 데 한계가 있었기에 새롭게 한국인을 위한 신체활동분류표가 보고되었다. 이에 본 연구에서 총에너지소비량을 측정하는 gold standard인 이중표식수법을 이용하여 새로 보고된 신체활동분류표의 타당도를 평가한 결과, TEE<SUB>DLW</SUB>와 TEE<SUB>PACT</SUB> 간의 유의한 차이가 없었으며 TEE<SUB>DLW</SUB>와 TEE<SUB>PACT</SUB> 간의 스피어만 상관관계 (r = 0.769)는 유의한 높은 양의 상관성을 보였다. 즉, 본 연구에서 TEE 및 PAL 산출을 위해 새로운 신체활동분류표의 사용이 타당한 것으로 평가되었으며, 앞으로 이와 관련된 연구 결과는 2025 한국인 영양소 섭취기준에서 에너지필요 추정량 산출식에 필요한 신체활동단계별 계수 (PA)를 결정하는데 유용한 자료가 될 것으로 기대된다. 또한 개인별 및 연구 목적으로도 쉽게 사용하기 위해서, 신체활동분류표를 이용한 웹 버전의 소프트웨어 프로그램 및 스마트폰 어플리케이션의 개발이 필요하다. Purpose: This study evaluated the validity of a physical activity classification table (PACT) based on total energy expenditure (TEE) and physical activity level (PAL) measured using the doubly labeled water (DLW) method in Korean adults and the elderly. Methods: A total of 141 (male 70, female 71) adults and elderly were included. The reference standards TEE<SUB>DLW</SUB>, PAL<SUB>DLW</SUB> were measured over a 14-day period using DLW. A 24-hour physical activity diary was kept for three days (two days during the week and one day on the weekend). PAL<SUB>PACT</SUB> was calculated by classifying the activity type and intensity using the PACT. PAL<SUB>PACT</SUB> was multiplied by resting energy expenditure measured by indirect calorimetry to estimate TEE<SUB>PACT</SUB>. Results: The mean age of the study participants was 50.5 ± 18.8 years, and the mean body mass index was 23.4 ± 3.3 kg/m2. A comparison of TEE<SUB>DLW</SUB> and TEE<SUB>PACT</SUB> by sex and age showed no significant differences. The bias, the difference between TEE<SUB>DLW</SUB> and TEE<SUB>PACT</SUB>, was male 17.3 kcal/day and female −4.5 kcal/day. The percentage of accurate predictions (values within ± 10% of the TEE<SUB>DLW</SUB>) of TEE<SUB>PACT</SUB> was 58.6% in males and 54.9% in females, with the highest prediction values in the age group 40–64 years (70.9%) in males and over 65 years (73.9%) in females. The spearman correlation coefficient (r) between TEE<SUB>PACT</SUB> and TEE<SUB>DLW</SUB> was 0.769, indicating a significant positive correlation (p < 0.001). Conclusion: In this study, the use of a new PACT for calculating TEE and PAL was evaluated as valid. A web version of the software program and a smartphone application need to be developed using PACT to make it easier to apply for research purposes.