Reduction of quantity smoked predicts future cessation among older smokers.


Journal Article

AIM:To examine whether smokers who reduce their quantity of cigarettes smoked between two periods are more or less likely to quit subsequently. STUDY DESIGN:Data come from the Health and Retirement Study, a nationally representative survey of older Americans aged 51-61 in 1991 followed every 2 years from 1992 to 1998. The 2064 participants smoking at baseline and the first follow-up comprise the main sample. MEASUREMENTS:Smoking cessation by 1996 is examined as the primary outcome. A secondary outcome is relapse by 1998. Spontaneous changes in smoking quantity between the first two waves make up the key predictor variables. Control variables include gender, age, education, race, marital status, alcohol use, psychiatric problems, acute or chronic health problems and smoking quantity. FINDINGS:Large (over 50%) and even moderate (25-50%) reductions in quantity smoked between 1992 and 1994 predict prospectively increased likelihood of cessation in 1996 compared to no change in quantity (OR 2.96, P<0.001 and OR 1.61, P<0.01, respectively). Additionally, those who reduced and then quit were somewhat less likely to relapse by 1998 than those who did not reduce in the 2 years prior to quitting. CONCLUSIONS:Reducing successfully the quantity of cigarettes smoked appears to have a beneficial effect on future cessation likelihood, even after controlling for initial smoking level and other variables known to impact smoking cessation. These results indicate that the harm reduction strategy of reduced smoking warrants further study.

Full Text

Cited Authors

  • Falba, T; Jofre-Bonet, M; Busch, S; Duchovny, N; Sindelar, J

Published Date

  • January 2004

Published In

Volume / Issue

  • 99 / 1

Start / End Page

  • 93 - 102

PubMed ID

  • 14678067

Pubmed Central ID

  • 14678067

Electronic International Standard Serial Number (EISSN)

  • 1360-0443

International Standard Serial Number (ISSN)

  • 0965-2140

Digital Object Identifier (DOI)

  • 10.1111/j.1360-0443.2004.00574.x


  • eng