Journal Article10.1006/PMED.1993.1025
Design and Results of the Initial Intervention Program for the Lung Health Study
Peggy O'Hara,Joseph Grill,Michael A. Rigdon,John E. Connett,Gary A. Lauger,Janet J. Johnston +5 more
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TL;DR: The intensive behavioral program was effective in achieving high initial rates of smoking cessation and inhaler compliance and use of nicotine gum appeared to be an effective adjunct to the multicomponent behavioral program.
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About: This article is published in Preventive Medicine. The article was published on 01 May 1993. The article focuses on the topics: Smoking cessation & Abstinence.
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The Effect of Smoking on Obesity: Evidence from a Randomized Trial
TL;DR: In this article, the causal effect of smoking on body mass index (BMI) using data from the Lung Health Study, a randomized trial of smoking cessation treatments was identified, and it was shown that quitting smoking leads to an average long run weight gain of 1.8-1.9 BMI units, or 11-12 pounds at the average height.
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Increasing the Use of Nicotine Replacement Therapy by a Simple Intervention: An Exploratory Trial
TL;DR: This historical cohort study conducted in a University Hospital between and 2006 included 322 smokers willing to quit and assessed whether adding a teaching session on nicotine addiction to a smoking cessation program could increase the proportion of participants using pharmacotherapy.
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A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models
TL;DR: To estimate causal effects from observational data, an applied researcher must impose beliefs, such as the instrumental variables exclusion restriction, which represents the belief that the instrume... as mentioned in this paper,...
The Effect of Smoking on Obesity: Evidence from a Randomized Trial
TL;DR: It is estimated that quitting smoking leads to an average long- run weight gain of 1.8-1.9 BMI units, which implies that the drop in smoking in recent decades explains 14% of the concurrent rise in obesity.
A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models
TL;DR: This paper characterize the sharp identified set relating instrument invalidity, treatment endogeneity, and measurement error in a workhorse linear model, showing how beliefs over these three dimensions are mutually constrained.