...
【24h】

Do patients' preferences predict smoking cessation?

机译:患者的喜好是否可以预测戒烟?

获取原文
获取原文并翻译 | 示例
           

摘要

BACKGROUND: Social cognitive theories (e.g., ASE-model) propose that smoking cessation can be accomplished by changing underlying cognitive determinants such as attitudes, social influence, and self-efficacy. Others have argued that people's preferences for a health state can also predict behavior. In this study, preferences constitute the degree to which one is willing to give up a valuable good, that is survival, to obtain a desirable behavior (e.g., to quit smoking). The aim of this study is to investigate the impact of cognitive determinants and patients' preferences on the prediction of smoking cessation. METHODS: Data were collected as part of a randomized clinical trial. Smoking outpatients (N = 217) with cardiovascular disease were included. At baseline (T0), socio-demographic and clinical characteristics were measured. Social cognitions (pros of quitting, pros of smoking, social influence, and self-efficacy) and preferences (using a paper time trade-off measure (TTO)) were assessed at T1 (1 week). Smoking cessation was assessed at T2 (8 weeks). RESULTS: Logistic regression analysis showed that socio-demographic (P = .92) and clinical (P = .26) factors did not predict smoking cessation, whereas social cognitions (P = .02) and preferences did (P = .00). On average, quitters are willing to give up an appreciable amount of survival years in order to quit smoking. CONCLUSION: Preference for quitting was the strongest single predictor of smoking cessation.
机译:背景:社会认知理论(例如ASE模型)提出,戒烟可以通过改变诸如态度,社会影响力和自我效能感等潜在的认知决定因素来实现。其他人则认为人们对健康状况的偏好也可以预测行为。在这项研究中,偏好构成了人们愿意放弃有价值的商品(即生存)以获得理想行为(例如戒烟)的程度。这项研究的目的是调查认知决定因素和患者偏好对戒烟预测的影响。方法:收集数据作为随机临床试验的一部分。包括吸烟的心血管疾病门诊患者(N = 217)。在基线(T0),测量了社会人口统计学和临床​​特征。在第一天(1周)评估社会认知(戒烟的优点,吸烟的优点,社会影响力和自我效能感)和偏好(使用纸上时间权衡指标(TTO))。在T2(8周)评估戒烟情况。结果:Logistic回归分析显示,社会人口统计学因素(P = .92)和临床因素(P = .26)不能预测戒烟,而社会认知因素(P = .02)和喜好因素可以预测吸烟戒烟。平均而言,戒烟者为了戒烟愿意放弃相当长的生存年限。结论:戒烟偏好是戒烟的最强单一指标。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号