Skip to main content

Advertisement

Log in

Neighborhood Walkability Index and Its Association With Indices of Childhood Obesity in Bengaluru, Karnataka

  • Research Paper
  • Published:
Indian Pediatrics Aims and scope Submit manuscript

Abstract

Background

The prevalence of childhood obesity is increasing in low-middle income countries like India. Built environment features such as walkability can influence weight-related outcomes but data from developing countries are scanty.

Objective

To develop population level walkability index in urban Bengaluru, and examine its association with indices of childhood obesity in school children.

Study Design

Nested cross-sectional study based on a cohort.

Participants

Normal healthy children aged 6 to 15 years from urban schools in Bengaluru. The children were stratified into different land use classification such as residential, commercial and open space based on residential address.

Methods

Anthropometric data, body composition data, measured using air displacement plethysmography.

Outcomes

Walkability index derived using residential density, street connectivity and land-use mix environment variables.

Results

The mean (SD) of age, body mass index (BMI), BMI z-score and percentage body fat (% Body fat) of 292 (50% boys) children were 10.8 (2.9) year, 17.4 (3.3) kg/m2, −0.27 (1.35) and 20.9% (8.8), respectively. The mean (SD) walkability index was 16.5, which was negatively associated with BMI (slope −0.25 and -0.08) and percentage body fat (slope −0.47 and −0.21) for age 5 and 10 years, respectively in children, but the effects decreased with increasing age.

Conclusions

The findings of this pilot study suggest that the neighborhood walkability may be associated with the obesity indices in younger children. Future longitudinal studies are needed to understand how built environment affects health and body composition of children in India and other low-middle income countries.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Ministry of Health and Family Welfare (MoHFW), Government of India. Comprehensive National Nutrition Survey (CNNS) National Report. 2019. Accessed Jan 22, 2022. Available from: https://nhm.gov.in/WriteReadData/l892s/1405796031571201348.pdf

  2. Kuriyan R, Selvan S, Thomas T, et al. Body composition percentiles in urban south Indian children and adolescents. Obesity (Silver Spring). 2018;26:1629–36.

    Article  PubMed  Google Scholar 

  3. Katapally TR, Goenka S, Bhawra J, et al. Results from India’s 2016 report card on physical activity for children and youth. J Phys Act Health. 2016;13:S176–82.

    Article  PubMed  Google Scholar 

  4. Smith L, Sánchez GFL, Suárez AD, et al. Barriers and facilitators of physical activity in children of a south Asian ethnicity. Sustainability. 2018;10:761.

    Article  Google Scholar 

  5. Frank LD, Andresen MA, Schmid TL. Obesity relationships with community design, physical activity, and time spent in cars. Am J Prev Med. 2004;27:87–96.

    Article  PubMed  Google Scholar 

  6. Sallis JF, Conway TL, Cain KL, et al. Neighborhood built environment and socioeconomic status in relation to physical activity, sedentary behavior, and weight status of adolescents. Prev Med (Baltim). 2018;110:47–54.

    Article  Google Scholar 

  7. Duncan DT, Sharifi M, Melly SJ, et al. Characteristics of walkable built environments and BMI z-scores in children: Evidence from a large electronic health record database. Environ Health Perspect. 2014;122:1359–65.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Glazier RH, Creatore MI, Weyman JT, et al. Density, destinations or both? A comparison of measures of walkability in relation to transportation behaviors, obesity and diabetes in Toronto, Canada. PLoS One. 2014;9:e85295.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Frank LD, Sallis JF, Saelens BE, et al. The development of a walkability index: application to the neighborhood quality of life study. Br J Sports Med. 2010;44:924–33.

    Article  CAS  PubMed  Google Scholar 

  10. Leslie E, Coffee N, Frank L, et al. Walkability of local communities: Using geographic information systems to objectively assess relevant environmental attributes. Health Place. 2007;13:111–22.

    Article  PubMed  Google Scholar 

  11. Lee C, Moudon A. Physical activity and environment research in the health field: Implications for urban and transportation planning practice and research: J Plan Lit. 2004;19:147–81.

    Article  Google Scholar 

  12. World Health Organization. Global action plan for the prevention and control of noncommunicable diseases 2013–2020. WHO, 2013. Accessed Jan 22, 2022. Available from: https://www.who.int/publications/i/item/9789241506236

  13. Adlakha D, Hipp JA, Brownson RC, et al. “Can we walk?” Environmental supports for physical activity in India. Prev Med (Baltim). 2017;103S:S81–9.

    Article  Google Scholar 

  14. Inter American Dialogue. Which cities will be leading the global economy in 2035? Accessed Jan 22, 2022. Available from: http://globaltrends.thedialogue.org/publication/which-cities-will-be-leading-the-global-economy-in-2035/

  15. Kuriyan R, Thomas T, Lokesh DP, et al. Waist circumference and waist for height percentiles in urban South Indian children aged 3–16 years. Indian Pediatr. 2011;48:765–71.

    Article  PubMed  Google Scholar 

  16. Callaway CW, Chumlea WC, Bouchard C, et al. Circumferences. In: Lohman TG, Roche AF, Martorell R, editors. Anthropometric Standardization Reference Manual. Human Kinetics Book;1988.p. 44–46.

  17. Fields DA, Goran MI, McCrory MA. Body-composition assessment via air-displacement plethysmography in adults and children: A review. Am J Clin Nutr. 2002;75:453–67.

    Article  CAS  PubMed  Google Scholar 

  18. ArcGIS Desktop: Release 10. ESRI. Environmental Systems Research Institute. 2011.

  19. Chalikavada R, Broder JC, O’Hara RL, et al. The association between neighbourhood walkability and after-school physical activity in Australian schoolchildren. Health Promot J Austr. 2021;32:182–8.

    Article  PubMed  Google Scholar 

  20. Hinckson E, Cerin E, Mavoa S, et al. Associations of the perceived and objective neighborhood environment with physical activity and sedentary time in New Zealand adolescents. Int J Behav Nutr Phys Act. 2017;14:1–15.

    Article  Google Scholar 

  21. Molina-García J, García-Massó X, Estevan I, Queralt A. Built environment, psychosocial factors and active commuting to school in adolescents: Clustering a self-organizing map analysis. Int J Environ Res Public Health. 2018;16:83.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Bharucha J. An investigation into the walkability problem in Indian cities. Safer Communities. 2017;16:77–86.

    Article  Google Scholar 

  23. Swaminathan S, Selvam S, Thomas T, et al. Longitudinal trends in physical activity patterns in selected urban south Indian school children. Indian J Med Res. 2011;134:174.

    PubMed  PubMed Central  Google Scholar 

  24. George GM, Sharma KK, Ramakrishnan S, Gupta SK. A study of cardiovascular risk factors and its knowledge among school children of Delhi. Indian Heart J. 2014;66:263–71.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We would like to acknowledge Sensing Local foundation, Cooke Town, Bengaluru, India for extracting information from GIS that were required for development of walkability index.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rebecca Kuriyan.

Additional information

Ethics clearance

IEC, St John’s Medical College Institutional Ethical committee; No. 177/2008, dated Feb 05, 2009.

Contributors

DP: data acquisition, preliminary analysis, interpretation of data, writing original draft; SG: methodology, formal analysis, interpretation of data, writing-review and editing; RK: conceptualization, supervision, analysis, interpretation of data, writing — critical reviewing and editing.

Funding

None

Competing interests

None stated.

Note

Additional material related to this article is available at www.indianpediatrics.net

Electronic Supplementary Material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Puttaswamy, D., Ghosh, S. & Kuriyan, R. Neighborhood Walkability Index and Its Association With Indices of Childhood Obesity in Bengaluru, Karnataka. Indian Pediatr 60, 113–118 (2023). https://doi.org/10.1007/s13312-023-2807-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13312-023-2807-1

Keywords

Navigation