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Smoking and body weight: Evidence using genetic instruments

Overview of attention for article published in Economics & Human Biology, September 2011
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Article details
Title
Smoking and body weight: Evidence using genetic instruments
Published in
Economics & Human Biology, September 2011
DOI 10.1016/j.ehb.2011.09.002
Pubmed ID
Authors
Abstract

Several studies have evaluated whether the high and rising obesity rates over the past three decades may be due to the declining smoking rates. There is mixed evidence across studies - some find negative smoking effects and positive cigarette cost effects on body weight, while others find opposite effects. This study applies a unique approach to identify the smoking effects on body weight and to evaluate the heterogeneity in these effects across the body mass index (BMI) distribution by utilizing genetic instruments for smoking. Using a data sample of 1057 mothers from Norway, the study finds heterogeneous effects of cigarette smoking on BMI - smoking increases BMI at low/moderate BMI levels and decreases BMI at high BMI levels. The study highlights the potential advantages and challenges of employing genetic instrumental variables to identify behavior effects including the importance of qualifying the instruments and the need for large samples.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 5%
Belgium 1 2%
Unknown 40 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 23%
Student > Master 6 14%
Researcher 6 14%
Student > Bachelor 4 9%
Student > Doctoral Student 2 5%
Other 5 12%
Unknown 10 23%
Readers by discipline
Readers by discipline Count As %
Economics, Econometrics and Finance 6 14%
Social Sciences 6 14%
Medicine and Dentistry 5 12%
Environmental Science 2 5%
Mathematics 2 5%
Other 7 16%
Unknown 15 35%
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 29 September 2011.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Economics & Human Biology
#814
of 852 outputs
Outputs of similar age
#130,652
of 141,634 outputs
Outputs of similar age from Economics & Human Biology
#9
of 10 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 852 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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