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Published in: BMC Public Health 1/2017

Open Access 01-12-2017 | Research article

Validity of the global physical activity questionnaire (GPAQ) in Bangladesh

Authors: Shirin Jahan Mumu, Liaquat Ali, Anthony Barnett, Dafna Merom

Published in: BMC Public Health | Issue 1/2017

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Abstract

Background

Feasible and cost-effective as well as population specific instruments for monitoring physical activity (PA) levels are needed for the management and prevention of non-communicable diseases. The WHO-endorsed Global Physical Activity Questionnaire (GPAQ) has been widely used in developing countries, but the evidence base for its validity, particularly for rural populations, is still limited. The aim of the study was to validate GPAQ among rural and urban residents in Bangladesh.

Methods

A total of 162 healthy participants of both genders aged 18–60 years were recruited from Satia village (n = 97) and Dhaka City (n = 65). Participants were invited to take part in the study and were asked to wear an accelerometer (GT3X) for 7 days, after which they were invited to answer the GPAQ in a face to face interview.

Results

Valid accelerometer data (i.e., ≥10 h of wear times over ≥3 days) were received from 155 participants (rural = 94, urban = 61). The mean age was 35 (SD = ±9) years, 55% were females and 19% of the participants had no schooling, which was higher in the rural area (21% vs 17%). The mean ± SD steps/day was 9998 ± 3936 (8658 ± 2788 and 12,063 ± 4534 for rural and urban respectively, p = 0.0001) and the mean ± SD daily moderate-to-vigorous physical activity (MVPA) was 58 ± 30 min (51 ± 26 for rural and 69 ± 34 for the urban, p = 0.001) for accelerometer. In case of GPAQ, rural residents reported significantly higher moderate work related PA (MET-minutes/week: 600 vs. 360 p = 0.02). Spearman correlation coefficients between GPAQ total MVPA MET-min/day and accelerometer MVPA min/day, counts per minute (CPM) or steps counts/day were acceptable for urban residents (rho: 0.46, 0.55 and 0.63, respectively; p < 0.01) but poor for rural residents. The overall correlation between the GPAQ and accelerometer for sitting was low (rho: 0.23; p < 0.001). GPAQ-Accelerometer correlation for MVPA was higher for females (rho: 0.42), ≤35 age group (rho: 0.31) and those with higher education attainment (rho: 0.48). The Bland-Altman plots illustrated bias towards over estimation of GPAQ MVPA with increased activity levels for urban and rural residents.

Conclusion

GPAQ is an acceptable measure for physical activity surveillance in Bangladesh particularly for urban residents, women and people with high education. Given waist worn accelerometers do not capture the typical PA in rural context, further study using a physical activity diary and a combination of multiple sensors (e.g., wrist, ankle and waist worn accelerometers) to capture all movement is warranted among rural population with purposive sampling of all education levels.
Literature
1.
go back to reference Lee I-M, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012;380:219–29.CrossRefPubMedPubMedCentral Lee I-M, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012;380:219–29.CrossRefPubMedPubMedCentral
2.
go back to reference Das P, Horton R. Rethinking our approach to physical activity. Lancet. 2012;380:189–90. Das P, Horton R. Rethinking our approach to physical activity. Lancet. 2012;380:189–90.
3.
go back to reference Hallal PC, Bauman A, Heath GW, Kohl HW, Lee I-M, Pratt M. Physical activity: more of the same is not enough. Lancet. 2012;380(9838):190–91. Hallal PC, Bauman A, Heath GW, Kohl HW, Lee I-M, Pratt M. Physical activity: more of the same is not enough. Lancet. 2012;380(9838):190–91.
4.
go back to reference Ding D, Lawson KD, Kolbe-Alexander TL, Finkelstein EA, Katzmarzyk PT, Mechelen Wv, Pratt M. The economic burden of physical inactivity: a global analysis of major non-communicable diseases. Lancet. 2016;388:1311–24. Ding D, Lawson KD, Kolbe-Alexander TL, Finkelstein EA, Katzmarzyk PT, Mechelen Wv, Pratt M. The economic burden of physical inactivity: a global analysis of major non-communicable diseases. Lancet. 2016;388:1311–24.
5.
go back to reference Macfarlane D, Chan A, Cerin E. Examining the validity and reliability of the Chinese version of the international physical activity questionnaire, long form (IPAQ-LC). Public Health Nutr. 2010;14(3):443–50.CrossRefPubMed Macfarlane D, Chan A, Cerin E. Examining the validity and reliability of the Chinese version of the international physical activity questionnaire, long form (IPAQ-LC). Public Health Nutr. 2010;14(3):443–50.CrossRefPubMed
6.
go back to reference Cleland CL, Hunter RF, Kee F, Cupples ME, Sallis JF, Tully MA. Validity of the global physical activity questionnaire (GPAQ) in assessing levels and change in moderate-vigorous physical activity and sedentary behaviour. BMC Public Health. 2014;14:1255.CrossRefPubMedPubMedCentral Cleland CL, Hunter RF, Kee F, Cupples ME, Sallis JF, Tully MA. Validity of the global physical activity questionnaire (GPAQ) in assessing levels and change in moderate-vigorous physical activity and sedentary behaviour. BMC Public Health. 2014;14:1255.CrossRefPubMedPubMedCentral
7.
8.
go back to reference World Health Organization. WHO STEPS surveillance manual: the WHO STEPwise approach to chronic disease risk factor surveillance. Geneva, Switzerland: World Health Organization; 2005. World Health Organization. WHO STEPS surveillance manual: the WHO STEPwise approach to chronic disease risk factor surveillance. Geneva, Switzerland: World Health Organization; 2005.
9.
go back to reference Bonnita R, de courten M, Dwyer T, Jamrozik K, Winkelmann R. Surveillance of risk factors for non-communicable diseases: the WHO STEP wise approach. Summary. Geneva: World Health Organization; 2001. Bonnita R, de courten M, Dwyer T, Jamrozik K, Winkelmann R. Surveillance of risk factors for non-communicable diseases: the WHO STEP wise approach. Summary. Geneva: World Health Organization; 2001.
10.
go back to reference World Health Organization. Global strategy on diet, physical activity and health. In: In proceedings of the 57th world health assembly. Geneva, Switzerland: World Health Organization; 2004. p. 2–18. World Health Organization. Global strategy on diet, physical activity and health. In: In proceedings of the 57th world health assembly. Geneva, Switzerland: World Health Organization; 2004. p. 2–18.
11.
go back to reference Armstrong T, Bull FC. Development of the World Health Organization global physical activity questionnaire (GPAQ). J Public Health. 2006;14(2):66–70.CrossRef Armstrong T, Bull FC. Development of the World Health Organization global physical activity questionnaire (GPAQ). J Public Health. 2006;14(2):66–70.CrossRef
12.
go back to reference Bull FC, Maslin TS, Armstrong T. Global physical activity questionnaire (GPAQ): nine country reliability and validity study. J Phys Act Health. 2009;6:790–804.CrossRefPubMed Bull FC, Maslin TS, Armstrong T. Global physical activity questionnaire (GPAQ): nine country reliability and validity study. J Phys Act Health. 2009;6:790–804.CrossRefPubMed
13.
go back to reference Moniruzzaman M, Zaman MM, Islam M, Ahsan H, Kabir H, Yasmin R: Physical activity levels in Bangladeshi adults: results from STEPS survey 2010. Public Health Nutr. 2016;137:131–8. Moniruzzaman M, Zaman MM, Islam M, Ahsan H, Kabir H, Yasmin R: Physical activity levels in Bangladeshi adults: results from STEPS survey 2010. Public Health Nutr. 2016;137:131–8.
14.
go back to reference Anjana RM, Pradeepa R, Das AK, Deepa M, Bhansali A, Joshi SR, Joshi PP, Dhandhania VK, Rao PV, Sudha V. Physical activity and inactivity patterns in India–results from the ICMR-INDIAB study (phase-1)[ICMR-INDIAB-5]. Int J Behav Nutr Phys Act. 2014;11(1):1.CrossRef Anjana RM, Pradeepa R, Das AK, Deepa M, Bhansali A, Joshi SR, Joshi PP, Dhandhania VK, Rao PV, Sudha V. Physical activity and inactivity patterns in India–results from the ICMR-INDIAB study (phase-1)[ICMR-INDIAB-5]. Int J Behav Nutr Phys Act. 2014;11(1):1.CrossRef
15.
go back to reference Assah F, Mbanya JC, Ekelund U, Wareham N, Brage S. Patterns and correlates of objectively measured free-living physical activity in adults in rural and urban Cameroon. J Epidemiol Community Health. 2015;69(7):700–7.CrossRefPubMedPubMedCentral Assah F, Mbanya JC, Ekelund U, Wareham N, Brage S. Patterns and correlates of objectively measured free-living physical activity in adults in rural and urban Cameroon. J Epidemiol Community Health. 2015;69(7):700–7.CrossRefPubMedPubMedCentral
16.
go back to reference Padrão P, Damasceno A, Silva-Matos C, Prista A, Lunet N. Physical activity patterns in Mozambique: urban/rural differences during epidemiological transition. Prev Med. 2012;55(5):444–9.CrossRefPubMed Padrão P, Damasceno A, Silva-Matos C, Prista A, Lunet N. Physical activity patterns in Mozambique: urban/rural differences during epidemiological transition. Prev Med. 2012;55(5):444–9.CrossRefPubMed
17.
go back to reference Zaman MM, Bhuiyan MR, Karim MN, Moniruzzaman RMM, Akanda AW, Fernando T. Clustering of non-communicable diseases risk factors in Bangladeshi adults: an analysis of STEPS survey 2013. BMC Public Health. 2015;15:659.CrossRefPubMedPubMedCentral Zaman MM, Bhuiyan MR, Karim MN, Moniruzzaman RMM, Akanda AW, Fernando T. Clustering of non-communicable diseases risk factors in Bangladeshi adults: an analysis of STEPS survey 2013. BMC Public Health. 2015;15:659.CrossRefPubMedPubMedCentral
18.
go back to reference Akter S, Rahman MM, Abe SK, Sultana P. Prevalence of diabetes and prediabetes and their risk factors among Bangladeshi adults: a nationwide survey. Bull World Health Organ. 2014;92:204–213A.CrossRefPubMedPubMedCentral Akter S, Rahman MM, Abe SK, Sultana P. Prevalence of diabetes and prediabetes and their risk factors among Bangladeshi adults: a nationwide survey. Bull World Health Organ. 2014;92:204–213A.CrossRefPubMedPubMedCentral
19.
go back to reference Hussain A, Rahim M, Khan AA, Ali S, Vaaler S. Type 2 diabetes in rural and urban population: diverse prevalence and associated risk factors in Bangladesh. Diabet Med. 2005;22:931–6.CrossRefPubMed Hussain A, Rahim M, Khan AA, Ali S, Vaaler S. Type 2 diabetes in rural and urban population: diverse prevalence and associated risk factors in Bangladesh. Diabet Med. 2005;22:931–6.CrossRefPubMed
20.
go back to reference Lavrakas P: Last-Birthday Selection. Encyclopedia Surv Res Methods 2008. Lavrakas P: Last-Birthday Selection. Encyclopedia Surv Res Methods 2008.
22.
go back to reference Shephard RJ, Tudor-Locke C. The Objective Monitoring of Physical Activity: Contributions of Accelerometry to Epidemiology, Exercise Science and Rehabilitation. Switzerland: Springer International Publishing; 2016. Shephard RJ, Tudor-Locke C. The Objective Monitoring of Physical Activity: Contributions of Accelerometry to Epidemiology, Exercise Science and Rehabilitation. Switzerland: Springer International Publishing; 2016.
23.
go back to reference Trost SG, McIver KL, Pate RR. Conducting accelerometer-based activity assessments in field-based research. Med Sci Sports Exerc. 2005;37(11 Suppl):S531–43.CrossRefPubMed Trost SG, McIver KL, Pate RR. Conducting accelerometer-based activity assessments in field-based research. Med Sci Sports Exerc. 2005;37(11 Suppl):S531–43.CrossRefPubMed
24.
go back to reference Atkin AJ, Gorely T, Clemes SA, Yates T, Edwardson C, Brage S, Salmon J, Marshall SJ, Biddle SJ. Methods of measurement in epidemiology: sedentary behaviour. Int J Epidemiol. 2012;41:1460–71.CrossRefPubMedPubMedCentral Atkin AJ, Gorely T, Clemes SA, Yates T, Edwardson C, Brage S, Salmon J, Marshall SJ, Biddle SJ. Methods of measurement in epidemiology: sedentary behaviour. Int J Epidemiol. 2012;41:1460–71.CrossRefPubMedPubMedCentral
25.
go back to reference Freedson PS, Melanson E, Sirard J. Calibration of the computer science and applications, inc. accelerometer. Med Sci Sports Exerc. 1998;30(5):777–81.CrossRefPubMed Freedson PS, Melanson E, Sirard J. Calibration of the computer science and applications, inc. accelerometer. Med Sci Sports Exerc. 1998;30(5):777–81.CrossRefPubMed
26.
go back to reference Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–74.CrossRefPubMed Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–74.CrossRefPubMed
27.
go back to reference Herrmann SD, Heumann KJ, Ananian CAD, Ainsworth BE. Validity and reliability of the global physical activity questionnaire (GPAQ). Meas Phys Educ Exerc Sci. 2013;17(3):221–35.CrossRef Herrmann SD, Heumann KJ, Ananian CAD, Ainsworth BE. Validity and reliability of the global physical activity questionnaire (GPAQ). Meas Phys Educ Exerc Sci. 2013;17(3):221–35.CrossRef
28.
go back to reference Chu AH, Ng SH, Koh D, Muller-Riemenschneider F. Reliability and validity of the self-and-interviewer-administered versions of the Global Physical Activity Questionnaire (GPAQ). PLoS One. 2015;10(9):e0136944. Chu AH, Ng SH, Koh D, Muller-Riemenschneider F. Reliability and validity of the self-and-interviewer-administered versions of the Global Physical Activity Questionnaire (GPAQ). PLoS One. 2015;10(9):e0136944.
29.
go back to reference Trinh O, Nguyen N, van der Ploeg H, Dibley M, Bauman A. Test–retest repeatability and relative validity of the global physical activity questionnaire in a developing country context. J Phys Act Health. 2009;6(Suppl. 1):S46–53.CrossRefPubMed Trinh O, Nguyen N, van der Ploeg H, Dibley M, Bauman A. Test–retest repeatability and relative validity of the global physical activity questionnaire in a developing country context. J Phys Act Health. 2009;6(Suppl. 1):S46–53.CrossRefPubMed
30.
go back to reference Aguilar-Farias N, Zamora jL: Is a single question of the Global Physical Activity Questionnaire (GPAQ) valid for measuring sedentary behaviour in the Chilean population? J Sports Sci. 2016;35(16):1652–7. Aguilar-Farias N, Zamora jL: Is a single question of the Global Physical Activity Questionnaire (GPAQ) valid for measuring sedentary behaviour in the Chilean population? J Sports Sci. 2016;35(16):1652–7.
31.
go back to reference Hoos T, Espinoza N, Marshall S, Arredondo EM. Validity of the global physical activity questionnaire (GPAQ) in adult Latinas. J Phys Act Heath. 2012;9(5):698–705.CrossRef Hoos T, Espinoza N, Marshall S, Arredondo EM. Validity of the global physical activity questionnaire (GPAQ) in adult Latinas. J Phys Act Heath. 2012;9(5):698–705.CrossRef
32.
go back to reference Alkahtani SA. Convergent validity: agreement between accelerometry and the global physical activity questionnaire in college-age Saudi men. BMC Res Notes. 2016;9:436.CrossRefPubMedPubMedCentral Alkahtani SA. Convergent validity: agreement between accelerometry and the global physical activity questionnaire in college-age Saudi men. BMC Res Notes. 2016;9:436.CrossRefPubMedPubMedCentral
33.
go back to reference Thuy AB, Blizzard L, Schmidt M, Luc PH, Magnussen C, Dwyer T. Reliability and validity of the global physical activity questionnaire in Vietnam. J Phys Act Heath. 2010;7:410–8.CrossRef Thuy AB, Blizzard L, Schmidt M, Luc PH, Magnussen C, Dwyer T. Reliability and validity of the global physical activity questionnaire in Vietnam. J Phys Act Heath. 2010;7:410–8.CrossRef
34.
go back to reference Craig CL, Marshall AL, Sjostrom M, Bauman A, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381–95.CrossRefPubMed Craig CL, Marshall AL, Sjostrom M, Bauman A, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381–95.CrossRefPubMed
35.
go back to reference Kelly P, Fitzsimons C, Baker G. Should we reframe how we think about physical activity and sedentary behaviour measurement? Validity and reliability reconsidered. Int J Behav Nutr Phys Act. 2016;13:32.CrossRefPubMedPubMedCentral Kelly P, Fitzsimons C, Baker G. Should we reframe how we think about physical activity and sedentary behaviour measurement? Validity and reliability reconsidered. Int J Behav Nutr Phys Act. 2016;13:32.CrossRefPubMedPubMedCentral
36.
go back to reference Herman HB, Børtnes I, Hildebrand M, Holme I, Kolle E, SA A. Validity of the ActiGraph GT1M during walking and cycling. J Sports Sci. 2014;32(6):510–6.CrossRef Herman HB, Børtnes I, Hildebrand M, Holme I, Kolle E, SA A. Validity of the ActiGraph GT1M during walking and cycling. J Sports Sci. 2014;32(6):510–6.CrossRef
37.
go back to reference Welk G, McClain J, Eisenmann J, Wicke E. Field validation of the MTI Actigraph and bodymedia armband monitor using the IDDEE monitor. Obesity. 2007;15(4):918–28.CrossRefPubMed Welk G, McClain J, Eisenmann J, Wicke E. Field validation of the MTI Actigraph and bodymedia armband monitor using the IDDEE monitor. Obesity. 2007;15(4):918–28.CrossRefPubMed
39.
go back to reference Ng N, Hakimi M, Van Minh H, Juvekar S, Razzaque A, Ashraf A, Ahmed SM, Kanungsukkasem U, Soonthornthada K, Bich TH: Prevalence of physical inactivity in nine rural INDEPTH Health and Demographic Surveillance Systems in five Asian countries. Glob Health Action 2009, 2. Ng N, Hakimi M, Van Minh H, Juvekar S, Razzaque A, Ashraf A, Ahmed SM, Kanungsukkasem U, Soonthornthada K, Bich TH: Prevalence of physical inactivity in nine rural INDEPTH Health and Demographic Surveillance Systems in five Asian countries. Glob Health Action 2009, 2.
40.
go back to reference Lee PH, McDowell I, Leung GM, Lam T, Stewart SM. Performance of the international physical activity questionnaire (short form) in subgroups of the Hong Kong chinese population. Int J Behav Nutr Phys Act. 2011;8:81.CrossRefPubMedPubMedCentral Lee PH, McDowell I, Leung GM, Lam T, Stewart SM. Performance of the international physical activity questionnaire (short form) in subgroups of the Hong Kong chinese population. Int J Behav Nutr Phys Act. 2011;8:81.CrossRefPubMedPubMedCentral
41.
go back to reference Oyeyem AL, Bello UM, Philemon ST, Aliyu HN, Majidadi RW, Oyeyemi AY. Examining the reliability and validity of a modified version of the international physical activity questionnaire, long form (IPAQ-LF) in Nigeria: a cross-sectional study. BMJ Open. 2014;4:e005820.CrossRef Oyeyem AL, Bello UM, Philemon ST, Aliyu HN, Majidadi RW, Oyeyemi AY. Examining the reliability and validity of a modified version of the international physical activity questionnaire, long form (IPAQ-LF) in Nigeria: a cross-sectional study. BMJ Open. 2014;4:e005820.CrossRef
42.
go back to reference Ainsworth BE, Haskell WL, Whitt MC, IM L, Swartz AM, Strath SJ, O’brien WL, Bassett DR, Schmitz KH, Emplaincourt PO, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000;32(9):S498–504.CrossRefPubMed Ainsworth BE, Haskell WL, Whitt MC, IM L, Swartz AM, Strath SJ, O’brien WL, Bassett DR, Schmitz KH, Emplaincourt PO, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000;32(9):S498–504.CrossRefPubMed
43.
go back to reference Clemes S, David B, Zhao Y, Han X, Brown W. Validity of two self-report measures of sitting time. J Phys Act Heath. 2012;9:533–9.CrossRef Clemes S, David B, Zhao Y, Han X, Brown W. Validity of two self-report measures of sitting time. J Phys Act Heath. 2012;9:533–9.CrossRef
44.
go back to reference Plasqui G, Westerterp K. Physical activity assessment with accelerometers: an evaluation against doubly labelled water. Obesity. 2007;15:2371–9.CrossRefPubMed Plasqui G, Westerterp K. Physical activity assessment with accelerometers: an evaluation against doubly labelled water. Obesity. 2007;15:2371–9.CrossRefPubMed
45.
go back to reference Haskell W. Physical activity by self-report: a brief history and future issues. J Phys Act Heath. 2012;9(Suppl 1):S5–S10.CrossRef Haskell W. Physical activity by self-report: a brief history and future issues. J Phys Act Heath. 2012;9(Suppl 1):S5–S10.CrossRef
46.
go back to reference Adams S, Matthews C, Ebbeling C, Moore C, Cunningham J, Fulton J, Hebert J. The effect of social desirability and social approval on selfreports of physical activity. Am J Epidemiol. 2005;161:389–98.CrossRefPubMedPubMedCentral Adams S, Matthews C, Ebbeling C, Moore C, Cunningham J, Fulton J, Hebert J. The effect of social desirability and social approval on selfreports of physical activity. Am J Epidemiol. 2005;161:389–98.CrossRefPubMedPubMedCentral
47.
go back to reference World Health Organization. Non-communicable disease risk factor survey Bangladesh 2010. Bangladesh: World Health Organization (WHO); 2011. World Health Organization. Non-communicable disease risk factor survey Bangladesh 2010. Bangladesh: World Health Organization (WHO); 2011.
Metadata
Title
Validity of the global physical activity questionnaire (GPAQ) in Bangladesh
Authors
Shirin Jahan Mumu
Liaquat Ali
Anthony Barnett
Dafna Merom
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2017
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-017-4666-0

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