文章摘要
吴蕾,姜斌,曾静,何耀.简短戒烟干预研究的Meta分析[J].中华流行病学杂志,2015,36(6):658-662
简短戒烟干预研究的Meta分析
Minimal-Intervention on smoking cessation:a Meta-analysis
收稿日期:2014-11-19  出版日期:2015-06-09
DOI:10.3760/cma.j.issn.0254-6450.2015.06.026
中文关键词: 戒烟;简短干预;Meta分析
英文关键词: Smoking cessation;Minimal-intervention;Meta-analysis
基金项目:国家自然科学基金(81373080);北京市科委项目(Z121107001012070); 解放军总医院基金(2013FC-TSYS-1021,MJ201447)
作者单位E-mail
吴蕾 100853 北京, 解放军总医院 老年医学研究所流行病学教研室 衰老及相关疾病研究北京市重点实验室  
姜斌 100853 北京, 解放军总医院 针灸科  
曾静 100853 北京, 解放军总医院 老年医学研究所流行病学教研室 衰老及相关疾病研究北京市重点实验室  
何耀 100853 北京, 解放军总医院 老年医学研究所流行病学教研室 衰老及相关疾病研究北京市重点实验室
100853 北京, 解放军总医院 肾脏疾病国家重点实验室 
yhe301@sina.com 
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中文摘要:
      目的 采用Meta分析评价简短戒烟干预的有效性.方法 计算机检索2000年1月至2014年9月中外生物医学数据库(The Cochrane Library、Medline、EMbase、中文期刊全文数据库、万方电子期刊数据库、维普中文科技期刊数据库和中国生物医学文献数据库)中有关简短戒烟干预随机对照试验,采用Revman 5.1软件进行Meta分析.结果 最终纳入9篇文献,随机效应模型合并RR值(95%CI)=1.57(1.01~2.44) .与未进行干预的吸烟者相比,接受了简短戒烟干预的吸烟者,其戒烟的可能性提高了57%.研究对象为孕妇和就诊患者,干预时间≤10 min的亚组更易戒烟,但各亚组分析结果之间的差异均无统计学意义.结论 简短戒烟干预可提高戒烟率,但该结论尚需纳入更多高质量大样本的随机对照试验加以证实.
英文摘要:
      Objective To systematically evaluate the effectiveness of Minimal Smoking Cessation Intervention Program (MSCIP) and to provide theoretical basis for the feasibility of implementation in China. Methods Systematically,we searched data from studies published between January,2000 and September,2014 on the database that including Cochrane Library,Medline,EMbase,CNKI,Wanfang,Vip,etc. Studies related to MSCIP were designed by random controlled trials. Meta analysis was performed by Revman 5.1. Results Nine studies were included,with the Random-Effect Model Relative Risk as 1.57(1.01-2.44),which indicated that the probability of being tobacco abstinent had increased by 57% in the treating group than in the control group. Participants who developed other diseases,being pregnant or the time of receiving intervention messages ≤10 minutes,were more likely to quit the program. There were no significant statistically differences noticed between the different subgroups. Conclusion Minimal smoking cessation intervention increased cessation rates,RCTs with a larger sample size are needed to draw the related conclusions.
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