Evidence map›Paper›PMID 26246076›Full record

ArticleBMJ open2015

Relationship between education levels and booster counselling sessions on smoking cessation among Chinese smokers.

Lei Wu, Yao He, Bin Jiang, Fang Zuo, Qinghui Liu, Li Zhang, Changxi Zhou, Miao Liu, Hongyan Chen

Abstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Lei WuDepartment of Epidemiology, Institute of Geriatrics, Chinese People's Liberation Army General Hospital, Beijing, China Beijing Key Laboratory of Aging and Geriatrics, Chinese People's Liberation Army General Hospital, Beijing, China.
Yao HeDepartment of Epidemiology, Institute of Geriatrics, Chinese People's Liberation Army General Hospital, Beijing, China Beijing Key Laboratory of Aging and Geriatrics, Chinese People's Liberation Army General Hospital, Beijing, China State Key Laboratory of Kidney Disease, Chinese People's Liberation Army General Hospital, Beijing, China.
Bin JiangDepartment of Acupuncture, Chinese People's Liberation Army General Hospital, Beijing, China.
Fang ZuoDepartment of Acupuncture, Chinese People's Liberation Army General Hospital, Beijing, China.
Qinghui LiuDepartment of Respiration, Chinese People's Liberation Army General Hospital, Beijing, China.
Li ZhangDepartment of Rehabilitation, Chinese People's Liberation Army General Hospital, Beijing, China.
Changxi ZhouDepartment of Respiration, Chinese People's Liberation Army General Hospital, Beijing, China.
Miao LiuDepartment of Epidemiology, Institute of Geriatrics, Chinese People's Liberation Army General Hospital, Beijing, China Beijing Key Laboratory of Aging and Geriatrics, Chinese People's Liberation Army General Hospital, Beijing, China.
Hongyan ChenDepartment of Epidemiology, Institute of Geriatrics, Chinese People's Liberation Army General Hospital, Beijing, China Beijing Key Laboratory of Aging and Geriatrics, Chinese People's Liberation Army General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAlthough various effective interventions are available to help individuals quit smoking, the effect of educational levels on cessation rates has rarely been studied, and of the few intervention studies on this topic, the results have been conflicting. DESIGN AND

settingFrom October 2008 to August 2013, a partly retrospective non-randomised study was conducted in a smoking cessation clinic of a large general hospital in Beijing, China.

participantsIn total, 547 Chinese smokers who sought treatment were divided into two groups: a face-to-face counselling group (FC, n=149) and an FC group subjected to four telephone follow-up sessions (FCF, n=398). OUTCOMES: We evaluated self-reported cessation rates by day 7 and after 6 and 12 months and stratified the two groups by education levels.

resultsThe 7-day and 6-month and 12-month continuous cessation rates of smokers of low education levels in the FC group at the time of the 12-month follow-up were 12.5%, 7.1% and 7.1%, respectively, which were lower than those of the highly educated smokers (16.1%, 12.9% and 9.7%, respectively). The results were opposite for the FCF group. The corresponding results for the highly educated smokers of the FCF group were 25.0%, 17.2% and 10.3%, respectively, which were lower than those for the smokers of low education levels (28.3%, 22.9% and 18.1%, respectively). However, significant differences were observed only among the FCF group participants who had experienced 12 months of continuous abstinence, and the crude OR for these individuals was recorded at 0.52 (0.29 to 0.93), p=0.03. A stepwise logistic regression showed that education levels may play a role in various intervention methods. Being married and higher Fagerström test scores were also predictors of cessation tendencies.

conclusionsEducation levels may affect the benefits of booster counselling sessions on smoking cessation among Chinese smokers.

Indexed as

Educational StatusAdultBeijingCounselingFemaleHumansMaleMiddle AgedRetrospective StudiesSmoking CessationSocioeconomic FactorsTobacco Use DisorderEPIDEMIOLOGYPUBLIC HEALTHSOCIAL MEDICINE

Identifiers

PMID26246076
PMCPMC4538246

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.