Severe and differential underestimation of self-reported smoking prevalence in Chinese adolescents

Int J Behav Med. 2014 Aug;21(4):662-6. doi: 10.1007/s12529-013-9326-x.

Abstract

Background: Evaluating the progress of tobacco control across the world heavily relies on smoking prevalence estimates. Those estimates are often based on surveys of self-reported cigarette smoking status. The accuracy varies among populations with different social and cultural backgrounds.

Purpose: The objective of this study was to estimate the prevalence of smoking and assess the accuracy of self-report smoking status in Chinese adolescents.

Method: This population-based cross-sectional survey included 10,934 adolescents aged 12 to 18 years from 17 schools in Shanghai, China. Data on adolescents' smoking status were collected from adolescents' self-reporting and from parents' questionnaires, separately. Based on the data of two sources, the total number of smokers among the study participants was estimated using a capture-recapture method.

Results: Among 5,452 girls and 5,482 boys, the prevalence estimates of self-reported smoking were 13.6% (748) and 5.2% (284) for boys and girls, respectively. Parents only identified smaller proportions of smoking adolescents: 2.9% (160) boys and 0.6% (30) girls. Using the capture-recapture method, we estimated the prevalence of smoking as 18.3% (95% CI 16.4, 20.3) for boys and 14.2% (95% CI 7.6, 20.8) for girls.

Conclusion: Reliance on self-reporting to identify smokers among Chinese adolescents significantly underestimates the number of smokers, particularly among Chinese girls. Self-reported smokers only represent less than half of actual smokers in girls. Our findings are important for monitoring smoking trends and evaluating tobacco control interventions among Chinese adolescents.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Child
  • China / epidemiology
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Parents
  • Prevalence
  • Self Report*
  • Sex Factors
  • Smoking / epidemiology*
  • Surveys and Questionnaires
  • Tobacco Use Disorder / epidemiology*