Bui, TV and Blizzard, CL and Luong, KN and Truong, NLV and Tran, BQ and Otahal, P and Srikanth, V and Nelson, MR and Au, BT and Ha, ST and Phung, HN and Tran, MH and Callisaya, M and Gall, S, Physical activity in Vietnam: estimates and measurement issues, PLoS One, 10, (10) Article e0140941. ISSN 1932-6203 (2015) [Refereed Article]
Copyright 2015 Bui et al. Licenced under Creative Commons Attribution 4.0 International (CC BY 4.0) http://creativecommons.org/licenses/by/4.0/
Introduction: Our aims were to provide the first national estimates of physical activity (PA) for Vietnam, and to investigate issues affecting their accuracy.
Methods: Measurements were made using the Global Physical Activity Questionnaire (GPAQ) on a nationally-representative sample of 14706 participants (46.5% males, response 64.1%) aged 25-64 years selected by multi-stage stratified cluster sampling.
Results: Approximately 20% of Vietnamese people had no measureable PA during a typical week, but 72.9% (men) and 69.1% (women) met WHO recommendations for PA by adults for their age. On average, 52.0 (men) and 28.0 (women) Metabolic Equivalent Task (MET)-hours/week (largely from work activities) were reported. Work and total PA were higher in rural areas and varied by season. Less than 2% of respondents provided incomplete information, but an additional one-in-six provided unrealistically high values of PA. Those responsible for reporting errors included persons from rural areas and all those with unstable work patterns. Box-Cox transformation (with an appropriate constant added) was the most successful method of reducing the influence of large values, but energy-scaled values were most strongly associated with pathophysiological outcomes.
Conclusions: Around seven-in-ten Vietnamese people aged 25-64 years met WHO recommendations for total PA, which was mainly from work activities and higher in rural areas. Nearly all respondents were able to report their activity using the GPAQ, but with some exaggerated values and seasonal variation in reporting. Data transformation provided plausible summary values, but energy-scaling fared best in association analyses.
|Item Type:||Refereed Article|
|Research Division:||Medical and Health Sciences|
|Research Group:||Public Health and Health Services|
|Objective Group:||Health and Support Services|
|Objective Field:||Health Policy Evaluation|
|UTAS Author:||Bui, TV (Mr Tan Bui)|
|UTAS Author:||Blizzard, CL (Professor Leigh Blizzard)|
|UTAS Author:||Otahal, P (Mr Petr Otahal)|
|UTAS Author:||Srikanth, V (Dr Velandai Srikanth)|
|UTAS Author:||Nelson, MR (Professor Mark Nelson)|
|UTAS Author:||Au, BT (Dr Thuy Au)|
|UTAS Author:||Phung, HN (Dr Hai Phung)|
|UTAS Author:||Tran, MH (Dr Mai Tran)|
|UTAS Author:||Callisaya, M (Dr Michele Callisaya)|
|UTAS Author:||Gall, S (Associate Professor Seana Gall)|
|Web of Science® Times Cited:||8|
|Deposited By:||Menzies Institute for Medical Research|
|Downloads:||423 View Download Statistics|
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