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The Impact of Tobacco Control Policies on Disparities in Children’s Secondhand Smoke Exposure: A Comparison of Methods

Overview of attention for article published in Maternal and Child Health Journal, March 2012
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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56 Mendeley
Title
The Impact of Tobacco Control Policies on Disparities in Children’s Secondhand Smoke Exposure: A Comparison of Methods
Published in
Maternal and Child Health Journal, March 2012
DOI 10.1007/s10995-012-0996-9
Pubmed ID
Authors

Summer Sherburne Hawkins, Amitabh Chandra, Lisa Berkman

Abstract

To examine the impact of cigarette excise taxes and smoke-free legislation on tobacco use among households with school-age children and adolescents as well as disparities in children's secondhand smoke exposure. We compare the results from models using causal inference techniques to those from cross-sectional models. We linked families of 6-17-year-olds from the 2003 (N = 67,607) and 2007 (N = 62,768) contacts of the National Survey of Children's Health with state-level cigarette excise taxes and smoke-free legislation total score (0 [none]-32 [very strong]) in 2001 and 2005. Parents reported whether anyone in the household used tobacco products. In adjusted causal inference models every $1.00 increase in cigarette excise tax between 2001 and 2005 was associated with a 4 percentage point decrease in household tobacco use between 2003 and 2007 (p = 0.008); however, there was no effect of smoke-free legislation on household tobacco use. Significant interactions revealed that cigarette tax increases were only associated with reductions in household tobacco use for parents of white children and, separately, lower income households. In contrast, in adjusted cross-sectional models, a higher smoke-free legislation total score was associated with a lower prevalence of household tobacco use. Stronger cigarette excise taxes decrease tobacco use among households with school-age children and adolescents, but smoke-free legislation at the state level does not change parental smoking. Since cross-sectional models cannot assess the direction of causality, evaluations should employ causal inference methods to help inform policy decisions to reduce disparities in adult smoking and, ultimately, protect children from secondhand smoke.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
India 1 2%
Netherlands 1 2%
Unknown 52 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 16%
Student > Master 8 14%
Student > Ph. D. Student 6 11%
Other 5 9%
Professor > Associate Professor 5 9%
Other 10 18%
Unknown 13 23%
Readers by discipline Count As %
Medicine and Dentistry 19 34%
Social Sciences 9 16%
Nursing and Health Professions 4 7%
Psychology 3 5%
Agricultural and Biological Sciences 2 4%
Other 6 11%
Unknown 13 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 08 July 2015.
All research outputs
#7,405,494
of 23,906,448 outputs
Outputs from Maternal and Child Health Journal
#756
of 2,039 outputs
Outputs of similar age
#48,658
of 163,232 outputs
Outputs of similar age from Maternal and Child Health Journal
#16
of 49 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 61% of its peers.
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 163,232 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.