Developing synthetic birth cohort-specific smoking histories using Global Adult Tobacco Surveys - an example from India
Deepak Sharma 1  
,  
Pranay Lal 2
,  
 
 
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1
Government Medical College Chandigarh, India
2
International Union Against Tuberculosis and Lung Disease, India
3
The Union SEA Office, India
Publish date: 2018-03-01
 
Tob. Induc. Dis. 2018;16(Suppl 1):A26
KEYWORDS
WCTOH
 
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ABSTRACT
Background:
Nearly 111 million adults smoke in India, and a tenth (nearly 1.2 million) of these die from smoking attributable diseases every year. Predicting future trends based on current prevalence and other epidemiologic variables are essential for policymaking. However, given the paucity of reliable population level data, several high prevalence use countries especially in the developing world have been unable develop models that can inform policy process. We present the first such model for India based on GATS 2009 and 2017.

Methods:
Using data from population-wide survey, we develop a synthetic cohort of smoking trends from 2010 to 2050 based on initiation, cessation, intensity, and prevalence patterns India between 2009 and 2017.

Results:
We estimate that till 2037-2040, the number of smokers in India would be same as current rate of smoking prevalence, following which it begins to decline marginally (at about 0.8 to 1.2 percent on a year on year basis).

Conclusions:
Policymakers need to take of this as smoking-related deaths will continue to rise beyond 2070 at current trends. This calls from stricter approaches for tobacco control in India like a "sinking lid" approach to reduce and eventually eliminate tobacco use in a given timeframe.

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