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Longitudinal study of adolescent tobacco use and tobacco control policies in India

Overview of attention for article published in BMC Public Health, July 2018
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Title
Longitudinal study of adolescent tobacco use and tobacco control policies in India
Published in
BMC Public Health, July 2018
DOI 10.1186/s12889-018-5727-8
Pubmed ID
Authors

Ritesh Mistry, Mangesh S. Pednekar, Prakash C. Gupta, Trivellore E. Raghunathan, Surekha Appikatla, Namrata Puntambekar, Keyuri Adhikari, Maqsood Siddiqi, William J. McCarthy

Abstract

This project will use a multilevel longitudinal cohort study design to assess whether changes in Community Tobacco Environmental (CTE) factors, measured as community compliance with tobacco control policies and community density of tobacco vendors and tobacco advertisements, are associated with adolescent tobacco use in urban India. India's tobacco control policies regulate secondhand smoke exposure, access to tobacco products and exposure to tobacco marketing. Research data about the association between community level compliance with tobacco control policies and youth tobacco use are largely unavailable, and are needed to inform policy enforcement, implementation and development. The geographic scope will include Mumbai and Kolkata, India. The study protocol calls for an annual comprehensive longitudinal population-based tobacco use risk and protective factors survey in a cohort of 1820 adolescents ages 12-14 years (and their parent) from baseline (Wave 1) to 36-month follow-up (Wave 4). Geographic Information Systems data collection will be used to map tobacco vendors, tobacco advertisements, availability of e-cigarettes, COTPA defined public places, and compliance with tobacco sale, point-of-sale and smoke-free laws. Finally, we will estimate the longitudinal associations between CTE factors and adolescent tobacco use, and assess whether the associations are moderated by family level factors, and mediated by individual level factors. India experiences a high burden of disease and mortality from tobacco use. To address this burden, significant long-term prevention and control activities need to include the joint impact of policy, community and family factors on adolescent tobacco use onset. The findings from this study can be used to guide the development and implementation of future tobacco control policy designed to minimize adolescent tobacco use.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 19%
Researcher 15 13%
Student > Ph. D. Student 10 9%
Other 8 7%
Student > Doctoral Student 7 6%
Other 18 15%
Unknown 37 32%
Readers by discipline Count As %
Medicine and Dentistry 20 17%
Social Sciences 17 15%
Nursing and Health Professions 7 6%
Economics, Econometrics and Finance 5 4%
Psychology 5 4%
Other 19 16%
Unknown 44 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 July 2018.
All research outputs
#15,826,468
of 23,511,526 outputs
Outputs from BMC Public Health
#11,565
of 15,248 outputs
Outputs of similar age
#210,729
of 328,877 outputs
Outputs of similar age from BMC Public Health
#286
of 333 outputs
Altmetric has tracked 23,511,526 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,248 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 328,877 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 333 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.