KMID : 1101720210250010023
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Physical Activity and Nutrition 2021 Volume.25 No. 1 p.23 ~ p.29
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Prediction of non-exercise activity thermogenesis (NEAT) using multiple linear regression in healthy Korean adults: a preliminary study
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Jung Won-Sang
Park Hun-Young Kim Sung-Woo Kim Ji-Su Hwang Hye-Jung Lim Ki-Won
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Abstract
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Purpose: This preliminary study aimed to develop a regression model to estimate the non-exercise activity thermogenesis (NEAT) of Korean adults using various easy-to-measure dependent variables.
Methods: NEAT was measured in 71 healthy adults (male n = 29; female n = 42). Statistical analysis was performed to develop a NEAT estimation regression model using the stepwise regression method.
Results: We confirmed that ageA, weightB, heart rate (HR)_averageC, weight ¡¿ HR_averageD, weight ¡¿ HR_sumE, systolic blood pressure (SBP) ¡¿ HR_restF, fat mass ¡À height2G, gender ¡¿ HR_averageH, and gender ¡¿ weight ¡¿ HR_sumI were important variables in various NEAT activity regression models. There was no significant difference between the measured NEAT values obtained using a metabolic gas analyzer and the predicted NEAT.
Conclusion: This preliminary study developed a regression model to estimate the NEAT in healthy Korean adults. The regression model was as follows: sitting = 1.431 - 0.013 ¡¿ (A) + 0.00014 ¡¿ (D) - 0.00005 ¡¿ (F) + 0.006 ¡¿ (H); leg jiggling = 1.102 - 0.011 ¡¿ (A) + 0.013 ¡¿ (B) + 0.005 ¡¿ (H); standing = 1.713 - 0.013 ¡¿ (A) + 0.0000017 ¡¿ (I); 4.5 km/h walking = 0.864 + 0.035 ¡¿ (B) + 0.0000041 ¡¿ (E); 6.0 km/h walking = 4.029 - 0.024 ¡¿ (C) + 0.00071 ¡¿ (D); climbing up 1 stair = 1.308 - 0.016 ¡¿ (A) + 0.00035 ¡¿ (D) - 0.000085 ¡¿ (F) - 0.098 ¡¿ (G); and climbing up 2 stairs = 1.442 - 0.023 ¡¿ (A) - 0.000093 ¡¿ (F) - 0.121 ¡¿ (G) + 0.0000624 ¡¿ (E).
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KEYWORD
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non-exercise activity thermogenesis, NEAT, heart rate, regression coefficient, algorithm model, estimation equation
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