Literature DB >> 15689099

Beliefs and behavior of deceivers in a randomized, controlled trial of anti-smoking advice at a primary care clinic in Kelantan, Malaysia.

Alison A Jackson1, Wan A Manan, Abdullah S Gani, Sandra Eldridge, Yvonne H Carter.   

Abstract

Smoking deception is often ignored, but is important in health care. In this trial it was assessed at both study entry and outcome. At study entry, 1,044 males at a primary care clinic were asked smoking status and tested for breath carbon monoxide (CO). Of self-reported non-smokers, 57/402 (14%) were actually smokers, as were 59/251 (24%) of self-reported ex-smokers. The self-reported smokers (n=387) entered a randomized, controlled trial where the intervention comprised four questions on knowledge and beliefs about smoking, standardized verbal advice against smoking, and a leaflet. At follow-up, subjects were also questioned about beliefs. Follow-up was difficult, but 191/387 (49%) attended at three or six months. Of 27 who claimed to have quit, 6 (22%) were deceivers and 21 were confirmed quitters. Cessation did not differ between intervention and control groups. Overall confirmed cessation at six months was 16/387 (4.1 %). Confirmed quitters were significantly lighter smokers than deceivers and still smokers. There were non-significant trends between the outcome groups whereby deceivers had least knowledge and most lay beliefs, and quitters had most knowledge and fewest lay beliefs. The lay beliefs may prevent some smokers from quitting.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15689099

Source DB:  PubMed          Journal:  Southeast Asian J Trop Med Public Health        ISSN: 0125-1562            Impact factor:   0.267


  5 in total

Review 1.  Deception in clinical trials and its impact on recruitment and adherence of study participants.

Authors:  Chuen Peng Lee; Tyson Holmes; Eric Neri; Clete A Kushida
Journal:  Contemp Clin Trials       Date:  2018-08-21       Impact factor: 2.226

2.  Multiple- vs Non- or Single-Imputation based Fuzzy Clustering for Incomplete Longitudinal Behavioral Intervention Data.

Authors:  Zhaoyang Zhang; Hua Fang
Journal:  IEEE Int Conf Connect Health Appl Syst Eng Technol       Date:  2016-08-18

3.  MIFuzzy Clustering for Incomplete Longitudinal Data in Smart Health.

Authors:  Hua Fang
Journal:  Smart Health (Amst)       Date:  2017-04-27

Review 4.  Physician advice for smoking cessation.

Authors:  Lindsay F Stead; Diana Buitrago; Nataly Preciado; Guillermo Sanchez; Jamie Hartmann-Boyce; Tim Lancaster
Journal:  Cochrane Database Syst Rev       Date:  2013-05-31

5.  Impact of Scotland's smoke-free legislation on pregnancy complications: retrospective cohort study.

Authors:  Daniel F Mackay; Scott M Nelson; Sally J Haw; Jill P Pell
Journal:  PLoS Med       Date:  2012-03-06       Impact factor: 11.069

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.