Literature DB >> 15066689

Instrumental variables technique: cigarette price provided better estimate of effects of smoking on SF-12.

J Paul Leigh1, Michael Schembri.   

Abstract

OBJECTIVE: Debate surrounds the usefulness of the instrumental variables (IV) technique for medical research. The choice of an instrument for the technique has been contentious. This study estimated the effects of smoking on physical functional status. We chose an especially valid and strong instrument: cigarette price. STUDY DESIGN AND
SETTING: The data were a nationally representative cross-sectional sample of 34,288 persons aged 30 to 91 in 1996-1997. The sample was drawn from the Community Tracking Study. Number of cigarettes smoked per day was predicted by the average cigarette price for the state in which the subject resided. The outcome measure was physical functional status and was measured by the SF-12 physical functional index.
RESULTS: In multivariable models we found the following: cigarettes per day was strongly and negatively associated with the SF-12 index (P<.001); cigarette price was strongly and negatively associated with cigarettes per day (P=.002); the predicted cigarettes per day (the IV) was strongly and negatively associated with the SF-12 index in linear regression and tobit regression (P=.047 and P=.021).
CONCLUSION: Estimated coefficients from the IV method suggested that the effect of smoking on physical functional status was substantially larger than estimates that relied on conventional methods.

Entities:  

Mesh:

Year:  2004        PMID: 15066689     DOI: 10.1016/j.jclinepi.2003.08.006

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  10 in total

Review 1.  What is learned from longitudinal studies of advertising and youth drinking and smoking? A critical assessment.

Authors:  Jon P Nelson
Journal:  Int J Environ Res Public Health       Date:  2010-03-08       Impact factor: 3.390

Review 2.  That instrument is lousy! In search of agreement when using instrumental variables estimation in substance use research.

Authors:  Michael T French; Ioana Popovici
Journal:  Health Econ       Date:  2011-02       Impact factor: 3.046

Review 3.  Use of instrumental variable in prescription drug research with observational data: a systematic review.

Authors:  Yong Chen; Becky A Briesacher
Journal:  J Clin Epidemiol       Date:  2010-12-16       Impact factor: 6.437

4.  Smoking cessation and body weight: evidence from the Behavioral Risk Factor Surveillance Survey.

Authors:  Panagiotis Kasteridis; Steven T Yen
Journal:  Health Serv Res       Date:  2012-02-22       Impact factor: 3.402

5.  Cumulative Head Impact Exposure Predicts Later-Life Depression, Apathy, Executive Dysfunction, and Cognitive Impairment in Former High School and College Football Players.

Authors:  Philip H Montenigro; Michael L Alosco; Brett M Martin; Daniel H Daneshvar; Jesse Mez; Christine E Chaisson; Christopher J Nowinski; Rhoda Au; Ann C McKee; Robert C Cantu; Michael D McClean; Robert A Stern; Yorghos Tripodis
Journal:  J Neurotrauma       Date:  2016-06-15       Impact factor: 5.269

6.  Correcting Instrumental Variables Estimators for Systematic Measurement Error.

Authors:  Stijn Vansteelandt; Manoochehr Babanezhad; Els Goetghebeur
Journal:  Stat Sin       Date:  2009-01-01       Impact factor: 1.261

7.  Health status and related factors in farmers by SF-12.

Authors:  Kyungeun Park; Sooyong Roh; Jihoon Lee; Soon Chan Kwon; Mihye Jeong; Soo-Jin Lee
Journal:  Ann Occup Environ Med       Date:  2015-01-24

8.  Supermarket purchase contributes to nutrition-related non-communicable diseases in urban Kenya.

Authors:  Kathrin M Demmler; Stephan Klasen; Jonathan M Nzuma; Matin Qaim
Journal:  PLoS One       Date:  2017-09-21       Impact factor: 3.240

9.  Adolescent smoking: The relationship between cigarette consumption and BMI.

Authors:  Molly Jacobs
Journal:  Addict Behav Rep       Date:  2018-12-08

10.  Estimating intervention effects in a complex multi-level smoking prevention study.

Authors:  Milena Falcaro; Andrew C Povey; Anne Fielder; Elizabeth Nahit; Andrew Pickles
Journal:  Int J Environ Res Public Health       Date:  2009-02-03       Impact factor: 3.390

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.