Built environment correlates of overweight and obesity among adults in Chennai, India

References

• Adlakha, D., et al., 2018. Exploring neighborhood environments and active commuting in Chennai, India. International journal of environmental research and public health, 15, 9. doi:10.3390/ijerph15091840
   Web of Science ®Google Scholar
• Adlakha, D., Hipp, J.A., and Brownson, R.C., 2016a. Adaptation and evaluation of the neighborhood environment walkability scale in India (NEWS-India). International journal of environmental research and public health, 13, 4. doi:10.3390/ijerph13040401
   Web of Science ®Google Scholar
• Adlakha, D., Hipp, J.A., and Brownson, R.C., 2016b. Neighborhood-based differences in walkability, physical activity, and weight status in India. Journal of transport & health, 3 (4), 485–499. doi:10.1016/j.jth.2016.10.008.
   Web of Science ®Google Scholar
• Bairwa, M., Rajput, M., and Sachdeva, S., 2013. Modified Kuppuswamy’s Socioeconomic Scale: social Researcher Should Include Updated Income Criteria, 2012. Indian journal of community medicine, 38 (3), 185–186. doi:10.4103/0970-0218.116358.
   PubMedGoogle Scholar
• Bassett, D.R., Jr., et al., 2008. Walking, cycling, and obesity rates in Europe, North America, and Australia. Journal of physical activity and health, 5 (6), 795–814. doi:10.1123/jpah.5.6.795.
   PubMed Web of Science ®Google Scholar
• Bauman, A.E., et al., 2013. Correlates of physical activity: why are some people physically active and others not? The lancet, 380 (9838), 258–271. doi:10.1016/S0140-6736(12)60735-1.
   Web of Science ®Google Scholar
• Beaglehole, R., et al., 2011. Priority actions for the non-communicable disease crisis. The lancet, 377 (9775), 1438–1447. doi:10.1016/S0140-6736(11)60393-0
   PubMed Web of Science ®Google Scholar
• Becerra, J.M., et al., 2013. Transport and health: a look at three Latin American cities. Cadernos de Saúde Pública, 29, 654–666. doi:10.1590/S0102-311X2013000800004.
   PubMed Web of Science ®Google Scholar
• Bowring, A.L., et al., 2012. Measuring the accuracy of self-reported height and weight in a community-based sample of young people. BMC medical research methodology, 12, 175. doi:10.1186/1471-2288-12-175
   PubMed Web of Science ®Google Scholar
• Cerin, E., et al., 2009. Cross-validation of the factorial structure of the neighborhood environment walkability scale (NEWS) and its abbreviated form (NEWS-A). International journal of behavioral nutrition and physical activity, 6 (1), 32. doi:10.1186/1479-5868-6-32.
   PubMedGoogle Scholar
• Cerin, E., et al., 2013. Sharing good NEWS across the world: developing comparable scores across 12 countries for the neighborhood environment walkability scale (NEWS). BMC public health, 13, 309. doi:10.1186/1471-2458-13-309.
   PubMed Web of Science ®Google Scholar
• Chatterjee, A. and Chattopadhyay, R.N., 2020. Satellite towns in neo-metropolitan development in India: lessons from selected cities. Singapore: Springer.
   Google Scholar
• Craig, C.L., Marshall, A.L., and Sjostrom, M., 2003. International physical activity questionnaire: 12-country reliability and validity. Medicine & science in sports & exercise, 35 (8), 1381–1395. doi:10.1249/01.MSS.0000078924.61453.FB.
   PubMed Web of Science ®Google Scholar
• Deepa, M., et al. 2003. The Chennai urban rural epidemiology study (CURES)–study design and methodology (urban component) (CURES-I). The journal of the association of physicians of India, 51, 863–870.
   PubMedGoogle Scholar
• Douglas, M.J., et al., 2011. Are cars the new tobacco? Journal of public health, 33 (2), 160–169. doi:10.1093/pubmed/fdr032.
   PubMed Web of Science ®Google Scholar
• Elshahat, S., O’Rorke, M., and Adlakha, D., 2020. Built environment correlates of physical activity in low- and middle-income countries: A systematic review. PLOS ONE, 15 (3), e0230454. doi:10.1371/journal.pone.0230454.
   PubMed Web of Science ®Google Scholar
• Garg, C., et al., 2010. Prevalence of obesity in Indian women. Obesity reviews, 11 (2), 105–108. doi:10.1111/j.1467-789X.2009.00666.x.
   PubMed Web of Science ®Google Scholar
• Giles-Corti, B., et al. 2016. City planning and population health: a global challenge. The lancet, 388 (10062), 2912–2924. doi:10.1016/S0140-6736(16)30066-6
   PubMed Web of Science ®Google Scholar
• Gordon-Larsen, P., Nelson, M.C., and Beam, K., 2005. Associations among active transportation, physical activity, and weight status in young adults. Obesity research, 13 (5), 868–875. doi:10.1038/oby.2005.100.
   PubMedGoogle Scholar
• Government of Tamil Nadu, 2014. Vehicular position in Chennai City as on 1.3.2014. Chennai, India: State Transport Authority.
   Google Scholar
• Guh, D.P., et al., 2009. The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis. BMC public health, 9, 88. doi:10.1186/1471-2458-9-88
   PubMed Web of Science ®Google Scholar
• Gupta, S., et al. 2010. Diabetes prevalence and its risk factors in rural area of Tamil Nadu. Indian journal of community medicine, 35 (3), 396–399. doi:10.4103/0970-0218.69262
   PubMedGoogle Scholar
• Gururaj, M., 2014. Kuppuswamy’s socio-economic status scale – a revision of income parameter for 2014. International journal of recent trends in science and technology, 11, 1.
   Google Scholar
• Guthold, R., et al., 2018. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. The lancet global health, 6 (10), e1077–e1086. doi:10.1016/S2214-109X(18)30357-7.
   PubMed Web of Science ®Google Scholar
• Heath, G.W., et al. 2012. Evidence-based intervention in physical activity: lessons from around the world. The lancet, 380 (9838), 272–281. doi:10.1016/S0140-6736(12)60816-2
   PubMed Web of Science ®Google Scholar
• Helble, M. and Francisco, K., 2017. The upcoming obesity crisis in Asia and the Pacific: first cost estimates. ADBI Working Paper 743. Tokyo: Asian Development Bank Institute.
   Google Scholar
• IBM Corp, 2012. IBM SPSS statistics for windows, version 25.0. Armonk, NY: IBM Corp.
   Google Scholar
• IPAQ, 2002. International physical activity questionnaires. IPAQ-long: last 7 days self-administered format. In: International physical activity questionnaires. Retrieved from https://sites.google.com/site/theipaq/
   Google Scholar
• Jaacks, L.M., et al. 2019. The obesity transition: stages of the global epidemic. The lancet diabetes & endocrinology, 7 (3), 231–240. doi:10.1016/S2213-8587(19)30026-9
   PubMed Web of Science ®Google Scholar
• Joy, E.J., et al. 2017. Dietary patterns and non-communicable disease risk in Indian adults: secondary analysis of Indian migration study data. Public health nutrition, 20 (11), 1963–1972. doi:10.1017/S1368980017000416
   PubMed Web of Science ®Google Scholar
• Kerr, J., 2013. Advancing science and policy through a coordinated international study of physical activity and built environments: IPEN adult methods. Journal of physical activity and health, 10 (4), 581–601. doi:10.1123/jpah.10.4.581.
   PubMed Web of Science ®Google Scholar
• Kerr, J., et al., 2016a. Perceived neighborhood environmental attributes associated with walking and cycling for transport among adult residents of 17 cities in 12 countries: the IPEN study. Environmental health perspectives, 124, 290–298. doi:10.1289/ehp.1409466.
   PubMed Web of Science ®Google Scholar
• Kerr, J., et al., 2016b. Perceived neighborhood environmental attributes associated with walking and cycling for transport among adult residents of 17 cities in 12 countries: the IPEN study. Environmental health perspectives, 124 (3), 290–298. doi:10.1289/ehp.1409466
   PubMed Web of Science ®Google Scholar
• Lauby-Secretan, B., et al., 2016. Body fatness and cancer–viewpoint of the IARC working group. New England journal of medicine, 375 (8), 794–798. doi:10.1056/NEJMsr1606602.
   PubMed Web of Science ®Google Scholar
• Mackenbach, J.D., et al., 2014. Obesogenic environments: a systematic review of the association between the physical environment and adult weight status, the SPOTLIGHT project. BMC public health, 14, 233. doi:10.1186/1471-2458-14-233.
   PubMed Web of Science ®Google Scholar
• Meshram, I.I., et al., 2016. Regional variation in the prevalence of overweight/obesity, hypertension and diabetes and their correlates among the adult rural population in India. British journal of nutrition, 115 (7), 1265–1272. doi:10.1017/S0007114516000039.
   PubMed Web of Science ®Google Scholar
• Milton, K., Macniven, R., and Bauman, A., 2014. Review of the epidemiological evidence for physical activity and health from low- and middle-income countries. Global public health, 9 (4), 369–381. doi:10.1080/17441692.2014.894548.
   PubMed Web of Science ®Google Scholar
• Ministry of Road Transport and Highways, 2010-2011. Basic road statistics of India. In: Ministry of road transport and highways. New Delhi, India. Retrieved from https://morth.nic.in/basic-road-statistics-india
   Google Scholar
• Ministry of Urban Development (MOUD), 2013. Level of urbanization. New Delhi, India: Government of India.
   Google Scholar
• Mohanty, P.K., 2014. Cities and public policy: an urban agenda for India. Paris: SAGE Publications.
   Google Scholar
• Monteiro, C.A., Conde, W.L., and Popkin, B.M., 2007. Income-specific trends in obesity in Brazil: 1975-2003. American journal of public health, 97 (10), 1808–1812. doi:10.2105/AJPH.2006.099630.
   PubMed Web of Science ®Google Scholar
• Office of the Registrar General & Census Commissioner, 2011. Census of India. New Delhi, India: Government of India.
   Google Scholar
• Ogden, C.L., et al., 2017. Prevalence of obesity among adults, by household income and education — United States, 2011–2014. MMWR. Morbidity and mortality weekly report, 66, 1369–1373. doi:10.15585/mmwr.mm6650a1.
   PubMed Web of Science ®Google Scholar
• Oyeyemi, A.L., et al., 2013. Evaluation of the neighborhood environment walkability scale in Nigeria. International journal of health geographics, 12, 16. doi:10.1186/1476-072X-12-16
   PubMed Web of Science ®Google Scholar
• Oyeyemi, A.L., et al., 2016a. Patterns and associated factors of physical activity among adolescents in Nigeria. PLoS one, 11 (2), e0150142. doi:10.1371/journal.pone.0150142
   PubMed Web of Science ®Google Scholar
• Oyeyemi, A.L., et al., 2016b. NEWS for Africa: adaptation and reliability of a built environment questionnaire for physical activity in seven African countries. International journal of behavioral nutrition and physical activity, 13 (1), 33. doi:10.1186/s12966-016-0357-y
   PubMedGoogle Scholar
• Parra, D.C., et al., 2009. Household motor vehicle use and weight status among Colombian adults: are we driving our way towards obesity? Preventive medicine, 49 (2–3), 179–183. doi:10.1016/j.ypmed.2009.07.010
   PubMed Web of Science ®Google Scholar
• Pradeepa, R., et al., 2015. Prevalence of generalized & abdominal obesity in urban & rural India–the ICMR-INDIAB Study (Phase-I) [ICMR- NDIAB-3]. Indian journal of medical research, 142 (2), 139–150. doi:10.4103/0971-5916.164234
   PubMed Web of Science ®Google Scholar
• Prentice, A.M., 2006. The emerging epidemic of obesity in developing countries. International journal of epidemiology, 35 (1), 93–99. doi:10.1093/ije/dyi272.
   PubMed Web of Science ®Google Scholar
• Pucher, J., et al., 2007. Urban transport trends and policies in China and India: impacts of rapid economic growth. Transport reviews, 27 (4), 379–410.
   Web of Science ®Google Scholar
• Rautela, Y.S., et al., 2018. The prevalence of obesity among adult population and its association with food outlet density in a hilly area of Uttarakhand. Journal of family medicine and primary care, 7 (4), 809–814. doi:10.4103/jfmpc.jfmpc_161_17.
   PubMedGoogle Scholar
• Rees-Punia, E., Hathaway, E.D., and Gay, J.L., 2018. Crime, perceived safety, and physical activity: A meta-analysis. Preventive medicine, 111, 307–313. doi:10.1016/j.ypmed.2017.11.017
   PubMed Web of Science ®Google Scholar
• Saelens, B.E., et al., 2003. Neighborhood-based differences in physical activity: an environment scale evaluation. American journal of public health, 93, 1552–1558. doi:10.2105/AJPH.93.9.1552
   PubMed Web of Science ®Google Scholar
• Sallis, J.F., et al. 2011. Income disparities in perceived neighborhood built and social environment attributes. Health place, 17 (6), 1274–1283. doi:10.1016/j.healthplace.2011.02.006
   PubMed Web of Science ®Google Scholar
• Sallis, J.F., et al. 2020. Built environment, physical activity, and obesity: findings from the international physical activity and environment network (IPEN) adult study. Annual review of public health, 41 (1), 119–139. doi:10.1146/annurev-publhealth-040218-043657
   PubMedGoogle Scholar
• Salvo, D., et al., 2014. Overcoming the challenges of conducting physical activity and built environment research in Latin America: IPEN Latin America. Preventive medicine, 69 (Suppl), S86–S92. doi:10.1016/j.ypmed.2014.10.014.
   PubMedGoogle Scholar
• Salvo, D., et al., 2015. Accelerometer-based physical activity levels among Mexican adults and their relation with sociodemographic characteristics and BMI: a cross-sectional study. International journal of behavioral nutrition and physical activity, 12, 79. doi:10.1186/s12966-015-0243-z.
   PubMed Web of Science ®Google Scholar
• Shoham, D.A., et al., 2015. Association of car ownership and physical activity across the spectrum of human development: modeling the Epidemiologic Transition Study (METS). BMC public health, 15, 173. doi:10.1186/s12889-015-1435-9.
   PubMed Web of Science ®Google Scholar
• Siddiqui, S.T., Kandala, N.B., and Stranges, S., 2015. Urbanisation and geographic variation of overweight and obesity in India: a cross-sectional analysis of the Indian demographic health survey 2005-2006. International journal of public health, 60 (6), 717–726. doi:10.1007/s00038-015-0720-9.
   PubMed Web of Science ®Google Scholar
• Solanki, H.K., et al., 2016. Road transport in urban India: its implications on health. Indian journal of community medicine: official publication of Indian association of preventive & social medicine, 41 (1), 16–22. doi:10.4103/0970-0218.170959.
   PubMedGoogle Scholar
• Steele, R. and Mummery, K., 2003. Occupational physical activity across occupational categories. Journal of science and medicine in sport, 6 (4), 398–407. doi:10.1016/S1440-2440(03)80266-9.
   PubMed Web of Science ®Google Scholar
• Swinburn, B.A., et al., 2011. The global obesity pandemic: shaped by global drivers and local environments. Lancet, 378 (9793), 804–814. doi:10.1016/S0140-6736(11)60813-1
   PubMed Web of Science ®Google Scholar
• The Organisation for Economic Co-operation and Development, 2018. Economic outlook for southeast Asia, China and India 2019 towards smart urban transportation: towards smart urban transportation. OECD Publishing.
   Google Scholar
• Turrell, G., 2000. Income non-reporting: implications for health inequalities research. Journal of epidemiology & community health, 54 (3), 207–214. doi:10.1136/jech.54.3.207.
   PubMed Web of Science ®Google Scholar
• Vancampfort, D., et al., 2018. Associations between active travel and physical multi-morbidity in six low- and middle-income countries among community-dwelling older adults: A cross-sectional study. PloS one, 13 (8), e0203277–e0203277. doi:10.1371/journal.pone.0203277
   PubMed Web of Science ®Google Scholar
• Wood, T.M., 2000. Issues and future directions in assessing physical activity: an introduction to the conference proceedings. Research quarterly for exercise and sport, 71 (2), ii–iv. doi:10.1080/02701367.2000.11082779.
   PubMed Web of Science ®Google Scholar
• World Health Organization, 2000. Obesity: preventing and managing the global epidemic. WHO technical report series 894 2000. Geneva, Switzerland: World Health Organization.
   Google Scholar
• World Health Organization, 2019. Global recommendations on physical activity for health. Geneva, Switzerland: WHO.
   Google Scholar
• Yang, L., et al., 2015. Choice of commuting mode among employees: do home neighborhood environment, worksite neighborhood environment, and worksite policy and supports matter? Journal of transport & health, 2 (2), 212–218. doi:10.1016/j.jth.2015.02.003.
   PubMed Web of Science ®Google Scholar