University of Tasmania
Browse

sorry, we can't preview this file

103759 Journal Article.pdf (143.03 kB)

Physical activity in Vietnam: estimates and measurement issues

Download (143.03 kB)
journal contribution
posted on 2023-05-18, 13:43 authored by Tan BuiTan Bui, Christopher BlizzardChristopher Blizzard, Luong, KN, Truong, NLV, Tran, BQ, Petr OtahalPetr Otahal, Srikanth, V, Mark NelsonMark Nelson, Au, BT, Ha, ST, Phung, HN, Tran, MH, Michele CallisayaMichele Callisaya, Seana GallSeana Gall

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.

History

Publication title

PLoS One

Volume

10

Issue

10

Article number

e0140941

Number

e0140941

Pagination

1-14

ISSN

1932-6203

Department/School

Menzies Institute for Medical Research

Publisher

Public Library of Science

Place of publication

United States

Rights statement

Copyright 2015 Bui et al. Licenced under Creative Commons Attribution 4.0 International (CC BY 4.0) http://creativecommons.org/licenses/by/4.0/

Repository Status

  • Open

Socio-economic Objectives

Health policy evaluation

Usage metrics

    University Of Tasmania

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC