Article Title



W. Zhu1, D. P. Heil, FACSM1, A. Angosta2, R. Alforque-Tan2

1Montana State University, Bozeman, MT, 2University of Nevada, Las Vegas, NV

Tinikling dance, a traditional Philippine bamboo dance, is a popular recreational activity among many Filipino Americans. Previous work has reported the metabolic cost of this folk dance to be between 4.5 and 9 metabolic equivalents (METs). As a moderate-to-vigorous physical activity (MVPA), this culturally-specific dance can be prescribed to at-risk Filipino Americans needing more MVPA. However, there is still a need to practically quantify the intensity and energy expenditure of Tinikling dance without the expense and invasiveness of using a metabolic measurement system. PURPOSE: This study aimed to test the use of accelerometry-based activity monitors (AM) to predict the intensity and metabolic cost of the Tinikling dance. METHODS: Twenty-two “low risk” healthy Filipino American Tinikling dancers were recruited from Las Vegas, NV. Dancers included 15 women (Mean ± SD: 32 ± 10 yrs, 24.8 ± 4.5 kg/m2) and 7 men (38 ± 12 yrs, 27.0 ± 4.9 kg/m2). During a single 60-min visit, dancers performed a sequence of 5 mins of quiet sitting (to measure sitting resting metabolic rate, or SRMR), 4 mins of warm-up, 5 mins of dance, 3 mins of active recovery, and 5 mins of quiet sitting. A portable metabolic measurement system was worn by each dancer to directly measure the energy expenditure (EE) of all activities. Each dancer also wore omnidirectional AMs on both wrists and ankles, as well as along the hips at the anterior-superior iliac spine for all testing. An average of the last two minutes of EE dance data were averaged and converted to METs using total mass (body mass + 1.5 kg equipment mass). Left and right AM data were averaged for the wrist (AMW), ankle (AMA) and hip (AMHIP), respectively. Prediction models were generated for METs and activity energy expenditure (AEE = EE - SRMR; kcals/kg/min) using standard step forward multiple linear regression (P-to-enter/exit = 0.05; alpha = 0.05) with AM output (AMW, AMA, AMHIP; counts/min), age, gender and Body Mass Index (BMI) as potential independent variables. RESULTS: The best models for predicting METs and AEE both used only the hip-worn AM: METs = 4.61 + 0.0003404 x AMHIP (R2 = 0.56, P < 0.001); AEE = 0.06603 + 0.000006162AMHIP (R2 = 0.62, P < 0.001). CONCLUSIONS: The use of a hip-worn omnidirectional AM provides a practical way to predict the intensity and metabolic cost of Tinikling dance.

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