Agreement among multiple measures of self-reported smoking status in Chinese urban residents

Public Health. 2010 Aug;124(8):437-43. doi: 10.1016/j.puhe.2010.04.005. Epub 2010 Aug 5.

Abstract

Objective: To compare five alternative self-report methods for assessing the smoking status of Chinese urban residents, and to estimate their reliability or agreement.

Study design: Cross-sectional survey with multistage sampling.

Methods: Cross-sectional survey data were collected from residents in two Chinese cities, and the prevalence of smoking and smoking frequency were estimated by means of six methods of self-report labelled SMD, SM1, SM6, SMF, SMC and SM. SM, the method of smoking assessment endorsed by the World Health Organisation (WHO), served as a referent in estimating agreement among the domestic methods. Cohen's kappa measured overall intermethod agreement.

Results: Data on 1167 eligible respondents were analysed. kappa values ranged from 0.79 to 0.89 for current smoking, from 0.84 to 0.94 for daily smoking, and from 0.23 to 0.62 for occasional smoking. Compared with the referent (SM, 61%), SMD (53%), SM1 (57%), SM6 (54%) and SMC (55%) significantly understated the prevalence of current smoking among Chinese urban residents. SM1 (11%), SM6 (10%), SMD (6%) and SMC (6%) significantly understated the prevalence of occasional smoking compared with the refererent (SM, 14%). No variation emerged in prevalence estimates of daily smoking.

Conclusions: Despite some variability, the five domestic methods used to assess smoking status in China generally produced similar results to those based on SM, the method advocated by WHO. Discrepancies between domestic assessment methods peaked in estimating the prevalence of occasional smoking.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • China / epidemiology
  • Confidence Intervals
  • Cross-Sectional Studies
  • Female
  • Health Behavior
  • Health Surveys
  • Humans
  • Male
  • Pilot Projects
  • Prevalence
  • Risk-Taking*
  • Self Report*
  • Sensitivity and Specificity
  • Smoking / epidemiology*
  • Surveys and Questionnaires
  • Urban Population / statistics & numerical data*
  • Young Adult