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摘要:
Objectives: This study aimed at identifying distinct quitting trajectories over 29 days after an unassisted smoking ces- sation attempt by ecological momentary assessment (EMA). In order to validate these trajectories we tested if they predict smoking frequency up to six months later. Methods: EMA via mobile phones was used to collect real time data on smoking (yes/no) after an unassisted quit attempt over 29 days. Smoking frequency one, three and six months after the quit attempt was assessed with online questionnaires. Latent class growth modeling was used to analyze the data of 230 self-quitters. Results: Four different quitting trajectories emerged: quitter (43.9%), late quitter (11.3%), returner (17%) and persistent smoker (27.8%). The quitting trajectories predicted smoking frequency one, three and six months after the quit attempt (all p < 0.001). Conclusions: Outcome after a smoking cessation attempt is better described by four distinct trajectories instead of a binary variable for abstinence or relapse. In line with the relapse model by Marlatt and Gordon, late quitter may have learned how to cope with lapses during one month after the quitting attempt. This group would have been allocated to the relapse group in traditional outcome studies.
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篇名 Identifying Distinct Quitting Trajectories after an Unassisted Smoking Cessation Attempt: An Ecological Momentary Assessment Study
来源期刊 医学心理学(英文) 学科 医学
关键词 Smoking CESSATION LAPSE RELAPSE Process Ecological Momentary Assessment Self-Quitter
年,卷(期) 2012,(3) 所属期刊栏目
研究方向 页码范围 44-50
页数 7页 分类号 R73
字数 语种
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Smoking
CESSATION
LAPSE
RELAPSE
Process
Ecological
Momentary
Assessment
Self-Quitter
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研究分支
研究去脉
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相关学者/机构
期刊影响力
医学心理学(英文)
季刊
2165-9370
武汉市江夏区汤逊湖北路38号光谷总部空间
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156
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