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

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

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.

Keywords: Accelerometer; Bangladesh; GPAQ; Global Physical Activity Questionnaire; Physical activity questionnaire; Validity.

Conflict of interest statement

Ethics approval and consent to participate

The study has received ethical approval from Western Sydney University Human Research Ethics Committee and Bangladesh University of Health Sciences Ethical Review Committee. Written informed consent was taken from all study participants.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Bland-Altman plots showing the agreement between GPAQ and Accelerometer. a. Agreement of MVPA for urban (n = 61) b. Agreement of MVPA for rural (n = 94) c. Agreement of sedentary behaviour for urban (n = 61) d. Agreement of sedentary behaviour for rural (n = 94)

References

    1. 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;380:219–229. doi: 10.1016/S0140-6736(12)61031-9.
    1. Das P, Horton R. Rethinking our approach to physical activity. Lancet. 2012;380:189–90.
    1. 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.
    1. 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.
    1. 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):443–450. doi: 10.1017/S1368980010002806.
    1. 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. doi: 10.1186/1471-2458-14-1255.
    1. Bauman A, Craig CL. The place of physical activity in the WHO global strategy on diet and physical activity. Int J Behav Nutr Phys Act. 2005;2:10. doi: 10.1186/1479-5868-2-10.
    1. World Health Organization . WHO STEPS surveillance manual: the WHO STEPwise approach to chronic disease risk factor surveillance. Geneva, Switzerland: World Health Organization; 2005.
    1. 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.
    1. World Health Organization . In proceedings of the 57th world health assembly. Geneva, Switzerland: World Health Organization; 2004. Global strategy on diet, physical activity and health; pp. 2–18.
    1. Armstrong T, Bull FC. Development of the World Health Organization global physical activity questionnaire (GPAQ) J Public Health. 2006;14(2):66–70. doi: 10.1007/s10389-006-0024-x.
    1. 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. doi: 10.1123/jpah.6.6.790.
    1. 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.
    1. 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. doi: 10.1186/1479-5868-11-26.
    1. 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):700–707. doi: 10.1136/jech-2014-205154.
    1. 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):444–449. doi: 10.1016/j.ypmed.2012.08.006.
    1. 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. doi: 10.1186/s12889-015-1938-4.
    1. 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. doi: 10.2471/BLT.13.128371.
    1. 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;22:931–936. doi: 10.1111/j.1464-5491.2005.01558.x.
    1. Lavrakas P: Last-Birthday Selection. Encyclopedia Surv Res Methods 2008.
    1. Global Physical Activity Questionnaire (GPAQ) Analysis Guide []. Accessed Feb 2015.
    1. 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.
    1. Trost SG, McIver KL, Pate RR. Conducting accelerometer-based activity assessments in field-based research. Med Sci Sports Exerc. 2005;37(11 Suppl):S531–S543. doi: 10.1249/01.mss.0000185657.86065.98.
    1. 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;41:1460–1471. doi: 10.1093/ije/dys118.
    1. Freedson PS, Melanson E, Sirard J. Calibration of the computer science and applications, inc. accelerometer. Med Sci Sports Exerc. 1998;30(5):777–781. doi: 10.1097/00005768-199805000-00021.
    1. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–174. doi: 10.2307/2529310.
    1. 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):221–235. doi: 10.1080/1091367X.2013.805139.
    1. 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.
    1. 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–S53. doi: 10.1123/jpah.6.s1.s46.
    1. 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.
    1. 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. doi: 10.1123/jpah.9.5.698.
    1. Alkahtani SA. Convergent validity: agreement between accelerometry and the global physical activity questionnaire in college-age Saudi men. BMC Res Notes. 2016;9:436. doi: 10.1186/s13104-016-2242-9.
    1. 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;7:410–418. doi: 10.1123/jpah.7.3.410.
    1. 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):1381–1395. doi: 10.1249/01.MSS.0000078924.61453.FB.
    1. 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. doi: 10.1186/s12966-016-0351-4.
    1. 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):510–516. doi: 10.1080/02640414.2013.844347.
    1. 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):918–928. doi: 10.1038/oby.2007.624.
    1. Agricultural Calendar []. Accessed Feb 2015.
    1. 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.
    1. 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. doi: 10.1186/1479-5868-8-81.
    1. 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. doi: 10.1136/bmjopen-2014-005820.
    1. 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–S504. doi: 10.1097/00005768-200009001-00009.
    1. Clemes S, David B, Zhao Y, Han X, Brown W. Validity of two self-report measures of sitting time. J Phys Act Heath. 2012;9:533–539. doi: 10.1123/jpah.9.4.533.
    1. Plasqui G, Westerterp K. Physical activity assessment with accelerometers: an evaluation against doubly labelled water. Obesity. 2007;15:2371–2379. doi: 10.1038/oby.2007.281.
    1. Haskell W. Physical activity by self-report: a brief history and future issues. J Phys Act Heath. 2012;9(Suppl 1):S5–S10. doi: 10.1123/jpah.9.s1.s5.
    1. 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;161:389–398. doi: 10.1093/aje/kwi054.
    1. World Health Organization . Non-communicable disease risk factor survey Bangladesh 2010. Bangladesh: World Health Organization (WHO); 2011.

Source: PubMed

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