Literature DB >> 33907731

Measuring Smoking Prevalence in a Middle Income Nation: An Examination of the 100 Cigarettes Lifetime Screen.

David Levy1, Luis Zavala-Arciniega2, Luz Myriam Reynales-Shigematsu2, Nancy L Fleischer3, Zhe Yuan1, Yameng Li1, Luz Maria Sanchez Romero1, Yan Kwan Lau3, Rafael Meza3, James F Thrasher2,4.   

Abstract

INTRODUCTION: Public health surveillance of smoking prevalence is essential in gauging the magnitude of the problem, identifying groups most affected, and evaluating polices. However, little attention has focused on how prevalence is measured, particularly in low-and middle-income countries, where smoking patterns may not mirror those in high-income countries and where the burden of tobacco use is rapidly growing. Mexico provides a unique opportunity to gauge how the questions used to define established smokers can affect prevalence estimates. This study assesses how using the 100-cigarette lifetime question to define smoking status affects estimates of smoking prevalence.
METHODS: We consider data from four nationally representative surveys in Mexico, from 2002 to 2016. These surveys ask about current smoking even for adults who do not indicate having smoked 100 cigarettes in their lifetime. We compare estimates of daily and nondaily smoking prevalence by age and gender with and without the 100-cigarette screen.
RESULTS: The relative difference in prevalence estimates with and without the screen was greater for nondaily than daily smoking and for females than males. The difference was especially pronounced for nondaily smokers aged 15-24, where there was a 50%-75% relative difference in estimates, albeit smaller discrepancies (20-49% relative difference) were also found among older smokers. In recent years, the relative difference was greatest at lower levels of educational attainment.
CONCLUSIONS: With the growth in nondaily smoking, using the 100-cigarettes screen to define smoking status can have important implications regarding size of smoking population. Further research is warranted in other countries.

Entities:  

Keywords:  Smoking prevalence; daily; measurement; nondaily; someday

Year:  2019        PMID: 33907731      PMCID: PMC8075165          DOI: 10.1016/j.gloepi.2019.100016

Source DB:  PubMed          Journal:  Glob Epidemiol        ISSN: 2590-1133


  21 in total

1.  Nondaily smokers: who are they?

Authors:  Kristen M Hassmiller; Kenneth E Warner; David Mendez; David T Levy; Eduardo Romano
Journal:  Am J Public Health       Date:  2003-08       Impact factor: 9.308

2.  Which literacy skills are associated with smoking?

Authors:  Laurie T Martin; Ann Haas; Matthias Schonlau; Kathryn Pitkin Derose; Lindsay Rosenfeld; Rima Rudd; Stephen L Buka
Journal:  J Epidemiol Community Health       Date:  2011-10-14       Impact factor: 3.710

3.  Origin and use of the 100 cigarette criterion in tobacco surveys.

Authors:  S J Bondy; J C Victor; L M Diemert
Journal:  Tob Control       Date:  2009-06-01       Impact factor: 7.552

4.  Prevalence and correlates of light and non-daily smoking in Brazil: Results from a nationwide representative survey.

Authors:  Taynara Dutra Batista Formagini; Henrique Pinto Gomide; Jaime Perales; Fernando Antonio Basile Colugnati
Journal:  Drug Alcohol Depend       Date:  2017-06-10       Impact factor: 4.492

5.  Light and intermittent smoking among California Black, Hispanic/Latino, and non-Hispanic White men and women.

Authors:  Kim Pulvers; Devan R Romero; Lyzette Blanco; Kari-Lyn K Sakuma; Jasjit S Ahluwalia; Dennis R Trinidad
Journal:  Nicotine Tob Res       Date:  2014-10-21       Impact factor: 4.244

6.  Smoking prevalence and attributable disease burden in 195 countries and territories, 1990-2015: a systematic analysis from the Global Burden of Disease Study 2015.

Authors: 
Journal:  Lancet       Date:  2017-04-05       Impact factor: 79.321

7.  Global trends and projections for tobacco use, 1990-2025: an analysis of smoking indicators from the WHO Comprehensive Information Systems for Tobacco Control.

Authors:  Ver Bilano; Stuart Gilmour; Trevor Moffiet; Edouard Tursan d'Espaignet; Gretchen A Stevens; Alison Commar; Frank Tuyl; Irene Hudson; Kenji Shibuya
Journal:  Lancet       Date:  2015-03-14       Impact factor: 79.321

8.  Hardcore smokers in Norway 1996-2009.

Authors:  Marianne Lund; Karl Erik Lund; Elisabeth Kvaavik
Journal:  Nicotine Tob Res       Date:  2011-08-17       Impact factor: 4.244

9.  Adult current smoking: differences in definitions and prevalence estimates--NHIS and NSDUH, 2008.

Authors:  Heather Ryan; Angela Trosclair; Joe Gfroerer
Journal:  J Environ Public Health       Date:  2012-05-09

10.  Tracking MPOWER in 14 countries: results from the Global Adult Tobacco Survey, 2008-2010.

Authors:  Yang Song; Luhua Zhao; Krishna Mohan Palipudi; Samira Asma; Jeremy Morton; Brandon Talley; Jason Hsia; Nivo Ramanandraibe; Roberta Caixeta; Heba Fouad; Rula Khoury; Dhirendra Sinha; James Rarick; Douglas Bettcher; Armando Peruga; Katherine Deland; Edouard Tursan D'Espaignet
Journal:  Glob Health Promot       Date:  2013-09-16
View more
  6 in total

1.  Similarities and Differences in Substance Use Patterns Among Lesbian, Gay, Bisexual, and Heterosexual Mexican Adult Smokers.

Authors:  Rosibel Rodríguez-Bolaños; Edna Arillo-Santillán; Cecilia Guzmán-Rodríguez; Inti Barrientos-Gutiérrez; Katia Gallegos-Carrillo; Andrea Titus; Lizeth Cruz-Jiménez; James F Thrasher
Journal:  LGBT Health       Date:  2021-10-07       Impact factor: 4.151

2.  Erectile Dysfunction in Cirrhosis: Its Prevalence and Risk Factors.

Authors:  Rakesh K Jagdish; Ahmed Kamaal; Saggere M Shasthry; Jaya Benjamin; Rakhi Maiwall; Ankur Jindal; Ashok Choudhary; Vijayaraghavan Rajan; Vinod Arora; Ankit Bhardwaj; Guresh Kumar; Manoj Kumar; Shiv K Sarin
Journal:  J Clin Exp Hepatol       Date:  2022-05-10

3.  Cross-sectional study examining the accuracy of self-reported smoking status as compared to urinary cotinine levels among workers at risk for chronic kidney disease of unknown origin in Guatemala.

Authors:  Jaime Butler-Dawson; Joaquin Barnoya; Stephen Brindley; Lyndsay Krisher; Wenyi Fan; Claudia Asensio; Lee S Newman
Journal:  BMJ Open       Date:  2021-10-25       Impact factor: 3.006

4.  Risk factors of latent tuberculosis among chronic kidney disease with routine haemodialysis patients.

Authors:  Ria Bandiara; Astried Indrasari; Anggi Dewi Rengganis; Lilik Sukesi; Afiatin Afiatin; Prayudi Santoso
Journal:  J Clin Tuberc Other Mycobact Dis       Date:  2022-02-22

5.  Blood Chromium Levels and Their Association with Cardiovascular Diseases, Diabetes, and Depression: National Health and Nutrition Examination Survey (NHANES) 2015-2016.

Authors:  Jasmine Chen; Michael Kan; Pulindu Ratnasekera; Lovepreet Kaur Deol; Vidhi Thakkar; Karen M Davison
Journal:  Nutrients       Date:  2022-06-28       Impact factor: 6.706

6.  The Mexico SimSmoke tobacco control policy model: Development of a simulation model of daily and nondaily cigarette smoking.

Authors:  Luz María Sánchez-Romero; Luis Zavala-Arciniega; Luz Myriam Reynales-Shigematsu; Belén Sáenz de Miera-Juárez; Zhe Yuan; Yameng Li; Yan Kwan Lau; Nancy L Fleischer; Rafael Meza; James F Thrasher; David T Levy
Journal:  PLoS One       Date:  2021-06-21       Impact factor: 3.752

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.