Evidence map›Paper›PMID 25025379›Full record

ArticlePloS one2014

Geospatial analysis on the distributions of tobacco smoking and alcohol drinking in India.

Sze Hang Fu, Prabhat Jha, Prakash C Gupta, Rajesh Kumar, Rajesh Dikshit, Dhirendra Sinha

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In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sze Hang FuCentre for Global Health Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.
Prabhat JhaCentre for Global Health Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Prakash C GuptaHealis-Sekhsaria Institute of Public Health, Navi Mumbai, India.
Rajesh KumarSchool of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Rajesh DikshitDepartment of Epidemiology, Tata Memorial Hospital, Mumbai, India.
Dhirendra SinhaSouth East Asia Regional Office, World Health Organization, New Delhi, India.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundTobacco smoking and binge alcohol drinking are two of the leading risk factors for premature mortality worldwide. In India, studies have examined the geographic distributions of tobacco smoking and alcohol drinking only at the state-level; sub-state variations and the spatial association between the two consumptions are poorly understood. METHODOLOGY: We used data from the Special Fertility and Mortality Survey conducted in 1998 to examine the geographic distributions of tobacco smoking and alcohol drinking at the district and postal code levels. We used kriging interpolation to generate smoking and drinking distributions at the postal code level. We also examined spatial autocorrelations and identified spatial clusters of high and low prevalence of smoking and drinking. Finally, we used bivariate analyses to examine the spatial correlations between smoking and drinking, and between cigarette and bidi smoking.

resultsThere was a high prevalence of any smoking in the central and northeastern states, and a high prevalence of any drinking in Himachal Pradesh, Arunachal Pradesh, and eastern Madhya Pradesh. Spatial clusters of early smoking (started smoking before age 20) were identified in the central states. Cigarette and bidi smoking showed distinctly different geographic patterns, with high levels of cigarette smoking in the northeastern states and high levels of bidi smoking in the central states. The geographic pattern of bidi smoking was similar to early smoking. Cigarette smoking was spatially associated with any drinking. Smoking prevalences in 1998 were correlated with prevalences in 2004 at the district level and 2010 at the state level.

conclusionThese results along with earlier evidence on the complementarities between tobacco smoking and alcohol drinking suggest that local public health action on smoking might also help to reduce alcohol consumption, and vice versa. Surveys that properly represent tobacco and alcohol consumptions at the district level are recommended.

Indexed as

AdultAgedAlcohol DrinkingFemaleGeographyHumansIndiaMaleMiddle AgedSmoking

Identifiers

PMID25025379
PMCPMC4099149

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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.