ArticleBMC public health2017
Association between full service and fast food restaurant density, dietary intake and overweight/obesity among adults in Delhi, India.
Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers, 4 of them syntheses that pooled it.
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Who cites it
26 citing papers in PubMed, 4 syntheses or guidelines pooled it, 55 citations in OpenAlex.
- The Association between Community Food Environments and Health Outcomes in High-Income Countries: A Systematic Literature Review.Current nutrition reports · 2025Pooled it
- The influence of the urban food environment on diet, nutrition and health outcomes in low-income and middle-income countries: a systematic review.BMJ global health · 2021Pooled it
- Progress Evaluation for Transnational Restaurant Chains to Reformulate Products and Standardize Portions to Meet Healthy Dietary Guidelines and Reduce Obesity and Non-Communicable Disease Risks, 2000-2018: A Scoping and Systematic Review to Inform Policy.International journal of environmental research and public health · 2019Pooled it
- Food environments and dietary intakes among adults: does the type of spatial exposure measurement matter? A systematic review.International journal of health geographics · 2018Pooled it
- Minimum diet diversity and its association with nutrient intake among non-pregnant and non-lactating women residing in Delhi.The Indian journal of medical research · 2026Article
- Institutional fast-food availability and sustainable diet quality among shift workers: the mediating role of food environment capacity and the moderating effect of physical activity.BMC public health · 2026Article
- Measurement tools to assess the obesogenic environment in neighborhood: a scoping review.BMC public health · 2025Article
- Impact of Fast Food Consumption on Obesity and Overweight among Individuals Aged Ten Years and Above: A Systematic Review and Meta-Analysis.Iranian journal of public health · 2025Review
- Perceived neighborhood environment walkability and health-related quality of life among predominantly Black and Latino adults in New York City.BMC public health · 2023Article
- Selective Daily Mobility Bias in the Community Food Environment: Case Study of Greater Hartford, Connecticut.Nutrients · 2023Article
- Cohort Profile: The Center for cArdiometabolic Risk Reduction in South Asia (CARRS).International journal of epidemiology · 2022Article
- Type, density, and healthiness of food-outlets in a university foodscape: a geographical mapping and characterisation of food resources in a Ghanaian university campus.BMC public health · 2022Article
- The usage of different types of food outlets was not significantly associated with body mass index during the third COVID-19 national lockdown in the United Kingdom.Obesity science & practice · 2022Article
- Restaurant managers' readiness to maintain people's healthy weight and minimise food waste in Japan.BMC public health · 2022Article
- Food environments and obesity: A geospatial analysis of the South Asia Biobank, income and sex inequalities.SSM - population health · 2022Article
- Perceived neighbourhood food access is associated with consumption of animal-flesh food, fruits and vegetables among mothers and young children in peri-urban Cambodia.Public health nutrition · 2022Article
- Association between neighborhood food environment and dietary diversity score among older people in Beijing, China: A cross-sectional study.Frontiers in nutrition · 2022Article
- Prevalence and Correlates of Cardio-Metabolic Risk Factors Among Regular Street Food Consumers in Dar es Salaam, Tanzania.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021Article
- Do Changes in the Local Food Environment Within New Residential Developments Influence the Diets of Residents? Longitudinal Results from RESIDE.International journal of environmental research and public health · 2020Article
- Overweight and obesity of school-age children in El Salvador according to two international systems: a population-based multilevel and spatial analysis.BMC public health · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundThe food environment has been implicated as an underlying contributor to the global obesity epidemic. However, few studies have evaluated the relationship between the food environment, dietary intake, and overweight/obesity in low- and middle-income countries (LMICs). The aim of this study was to assess the association of full service and fast food restaurant density with dietary intake and overweight/obesity in Delhi, India.
methodsData are from a cross-sectional, population-based study conducted in Delhi. Using multilevel cluster random sampling, 5364 participants were selected from 134 census enumeration blocks (CEBs). Geographic information system data were available for 131 CEBs (n = 5264) from a field survey conducted using hand-held global positioning system devices. The number of full service and fast food restaurants within a 1-km buffer of CEBs was recorded by trained staff using ArcGIS software, and participants were assigned to tertiles of full service and fast food restaurant density based on their resident CEB. Height and weight were measured using standardized procedures and overweight/obesity was defined as a BMI ≥25 kg/m
resultsThe most common full service and fast food restaurants were Indian savory restaurants (57.2%) and Indian sweet shops (25.8%). Only 14.1% of full service and fast food restaurants were Western style. After adjustment for age, household income, education, and tobacco and alcohol use, participants in the highest tertile of full service and fast food restaurant density were less likely to consume fruit and more likely to consume refined grains compared to participants in the lowest tertile (both p < 0.05). In unadjusted logistic regression models, participants in the highest versus lowest tertile of full service and fast food restaurant density were significantly more likely to be overweight/obese: odds ratio (95% confidence interval), 1.44 (1.24, 1.67). After adjustment for age, household income, and education, the effect was attenuated: 1.08 (0.92, 1.26). Results were consistent with further adjustment for tobacco and alcohol use, moderate physical activity, and owning a bicycle or motorized vehicle.
conclusionsMost full service and fast food restaurants were Indian, suggesting that the nutrition transition in this megacity may be better characterized by the large number of unhealthy Indian food outlets rather than the Western food outlets. Full service and fast food restaurant density in the residence area of adults in Delhi, India, was associated with poor dietary intake. It was also positively associated with overweight/obesity, but this was largely explained by socioeconomic status. Further research is needed exploring these associations prospectively and in other LMICs.
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