Evidence map›Paper›PMID 28724371›Full record

ArticleBMC public health2017

Association between full service and fast food restaurant density, dietary intake and overweight/obesity among adults in Delhi, India.

Opal Patel, Safraj Shahulhameed, Roopa Shivashankar, Mohammad Tayyab, Atiqur Rahman, Dorairaj Prabhakaran, Nikhil Tandon, Lindsay M Jaacks

Erratum issuedOpen access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 pooled it
4.5field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 4 syntheses or guidelines pooled it, 55 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 2 countries.

Opal PatelDepartment of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Safraj ShahulhameedPublic Health Foundation of India and Centre for Control of Chronic Conditions (4Cs), Gurgaon, Haryana, India.
Roopa ShivashankarPublic Health Foundation of India and Centre for Control of Chronic Conditions (4Cs), Gurgaon, Haryana, India.
Mohammad TayyabPublic Health Foundation of India and Centre for Control of Chronic Conditions (4Cs), Gurgaon, Haryana, India.
Atiqur RahmanDepartment of Geography, Jamia Milia Islamia, New Delhi, India.
Dorairaj PrabhakaranPublic Health Foundation of India and Centre for Control of Chronic Conditions (4Cs), Gurgaon, Haryana, India.
Nikhil TandonDepartment of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India.
Lindsay M JaacksDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA. jaacks@hsph.harvard.edu.
Public Health Foundation of India · INAll India Institute of Medical Sciences · INEmory University · USHarvard Global Health Institute · USJamia Millia Islamia · IN

Funding

Interdisciplinary research training: NCD epidemiology and prevention in IndiaD43HD065249 · NICHD · CENTRE FOR CHRONIC DISEASE CONTROL · PI NARAYAN, KABAYAM M VENKAT, TANDON, NIKHIL · 2009 to 2013
$1.2M
NHLBI NIH HHS HHSN268200900026CNICHD NIH HHS D43 HD065249Wellcome Trust
6 · The paper itself

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.

Indexed as

AdultBody WeightCross-Sectional StudiesDietEnvironmentFast FoodsFemaleGeographic Information SystemsHumansIndiaLogistic ModelsMaleMiddle AgedObesityOdds RatioOverweightBody mass indexFood outletsGeographic information systemIndiaObesity

Identifiers

PMID28724371
PMCPMC5518129
OpenAlexW2738060001

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.