Association of tobacco use with the tobacco-related built environment: an ecological study from urban slums of Bhopal, India

• Main Authors: Yogesh Damodar Sabde (Author), Vikas Yadav (Author), Abhijit P. Pakhare (Author), Sanjeev Kumar (Author), Ankur Joshi (Author), Rajnish Joshi (Author)
• Format: Book
• Published: BMC, 2023-02-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 10.1186/s41256-023-00287-1; 2397-0642
• Keywords: Tobacco use; Built environment; Network analysis; Service area; India; Neighbourhood; Public aspects of medicine; RA1-1270
• Source: Global Health Research and Policy, Vol 8, Iss 1, Pp 1-9 (2023)

Abstract Introduction Tobacco is one of the biggest public health problems and a major risk factor for various non-communicable diseases (NCDs). An important aspect of tobacco control strategy could include modifications in the tobacco-related built environment. This study investigated the association between tobacco shop density and tobacco use prevalence in the urban slums of Bhopal city, India. Methods We conducted a cross-sectional survey to obtain the distribution of tobacco-related built environment (tobacco shops) in the neighbourhood (400-m service area) of 32 urban slum clusters of Bhopal. We plotted this distribution using the 'network service area analysis' in ArcMap 10.7.1 software. Then, we used an ecological design to determine the association between tobacco shop density and tobacco use prevalence in these 32 clusters (N = 6214 adult inhabitants). We used multiple linear regression analysis to estimate the regression coefficient (adjusted for socio-demographic variables) between tobacco use and tobacco shop density at the cluster level. Results The prevalence of tobacco use among all 32 slum clusters ranged from 22.1 to 59.6% (median 40.9% with IQR 31.8-44.2). There were 194 tobacco shops situated in the neighbourhood of all clusters. The median density of tobacco shops was 59.40/km2 (IQR 39.9-108.1/km2) in the neighbourhoods of slum clusters. Tobacco use prevalence was significantly associated with tobacco shop density (estimate or B = 0.071, p value = 0.002) after adjusting for age, literacy, wealth index, and gender ratio. Conclusions Tobacco use prevalence is significantly associated with tobacco shop density in the slums of Bhopal city in central India. We need to develop appropriate built environment interventions to control rampant tobacco use.