Development and validation of a self-administered questionnaire to estimate the distance and mode of children’s travel to school in urban India

Article English OPEN
Tetali, Shailaja ; Edwards, Phil ; Murthy, G. V. S. ; Roberts, I. (2015)
  • Publisher: BioMed Central
  • Journal: BMC Medical Research Methodology, volume 15 (eissn: 1471-2288)
  • Related identifiers: pmc: PMC4625478, doi: 10.1186/s12874-015-0086-y
  • Subject: Mode | Epidemiology | Research Article | Hyderabad | Distance | Active transport | Validity | India | Questionnaire development

Background Although some 300 million Indian children travel to school every day, little is known about how they get there. This information is important for transport planners and public health authorities. This paper presents the development of a self-administered questionnaire and examines its reliability and validity in estimating distance and mode of travel to school in a low resource urban setting. Methods We developed a questionnaire on children’s travel to school. We assessed test re-test reliability by repeating the questionnaire one week later (n = 61). The questionnaire was improved and re-tested (n = 68). We examined the convergent validity of distance estimates by comparing estimates based on the nearest landmark to children’s homes with a ‘gold standard’ based on one-to-one interviews with children using detailed maps (n = 50). Results Most questions showed fair to almost perfect agreement. Questions on usual mode of travel (κ 0.73- 0.84) and road injury (κ 0.61- 0.72) were found to be more reliable than those on parental permissions (κ 0.18- 0.30), perception of safety (κ 0.00- 0.54), and physical activity (κ -0.01- 0.07). The distance estimated by the nearest landmark method was not significantly different than the in-depth method for walking , 52 m [95 % CI -32 m to 135 m], 10 % of the mean difference, and for walking and cycling combined, 65 m [95 % CI -30 m to 159 m], 11 % of the mean difference. For children who used motorized transport (excluding private school bus), the nearest landmark method under-estimated distance by an average of 325 metres [95 % CI −664 m to 1314 m], 15 % of the mean difference. Conclusions A self-administered questionnaire was found to provide reliable information on the usual mode of travel to school, and road injury, in a small sample of children in Hyderabad, India. The ‘nearest landmark’ method can be applied in similar low-resource settings, for a reasonably accurate estimate of the distance from a child’s home to school. Electronic supplementary material The online version of this article (doi:10.1186/s12874-015-0086-y) contains supplementary material, which is available to authorized users.
  • References (35)
    35 references, page 1 of 4

    1. Government of India. Ministry of Home Affairs. Office of the Registrar General and Census Commissioner, India.

    2. Nelson NM, Woods CB. Neighborhood perceptions and active commuting to school among adolescent boys and girls. J Phys Act Health. 2010;7(2):257-66.

    3. Wong BYM, F.G., Buliung R GIS measured environmental correlates of active school transport: a systematic review. Int J Behav Nutr Phys Act, 2011. 8(39).

    4. Bringolf-Isler B, Grize L, Mader U, Ruch N, Sennhauser FH, Braun-Fahrlander C. Personal and environmental factors associated with active commuting to school in Switzerland. Prev Med. 2008;46(1):67-73.

    5. NCSRTS., Safe Routes to School Travel Data: A Look at Baseline Results from Parent Surveys and Student Travel Tallies 2010.

    6. Zhou H, Z.J., Hsu P, Rouse J., Identifying Factors Affecting the Number of Students Walking or Biking to School. ITE Journal, 2009. 79(10): p. 40-44.

    7. Panter JR et al. Neighborhood, route, and school environments and children's active commuting. Am J Prev Med. 2010;38(3):268-78.

    8. DiGuiseppi C et al. Determinants of car travel on daily journeys to school: cross sectional survey of primary school children. BMJ. 1998;316(7142):1426-8.

    9. Ziviani J, Scott J, Wadley D. Walking to school: incidental physical activity in the daily occupations of Australian children. Occup Ther Int. 2004;11(1):1-11.

    10. Dalton MA et al. Built environment predictors of active travel to school among rural adolescents. Am J Prev Med. 2011;40(3):312-9.

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