Modelling intentions to provide smoking cessation support among mental health professionals in the Netherlands ...
Abstract Background Tobacco use prevalence is elevated among people with mental illnesses, leading to elevated rates of premature smoking-related mortality. Opportunities to encourage smoking cessation among them are currently underused by mental health professionals. In this paper, we aim to explore mechanisms to invigorate professionals’ intentions to help patients stop smoking. Methods Data stem from a recent staff survey on the provision of smoking cessation support to patients with mental illnesses in the Netherlands. Items and underlying constructs were based on the theory of planned beh... Mehr ...
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Dokumenttyp: | Datenquelle |
Erscheinungsdatum: | 2016 |
Verlag/Hrsg.: |
Figshare
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Schlagwörter: | Ecology / FOS: Biological sciences / Sociology / FOS: Sociology / 69999 Biological Sciences not elsewhere classified / 111714 Mental Health / FOS: Health sciences |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-29167168 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://dx.doi.org/10.6084/m9.figshare.c.3624869 |
Abstract Background Tobacco use prevalence is elevated among people with mental illnesses, leading to elevated rates of premature smoking-related mortality. Opportunities to encourage smoking cessation among them are currently underused by mental health professionals. In this paper, we aim to explore mechanisms to invigorate professionals’ intentions to help patients stop smoking. Methods Data stem from a recent staff survey on the provision of smoking cessation support to patients with mental illnesses in the Netherlands. Items and underlying constructs were based on the theory of planned behaviour and literature on habitual behaviour. Data were weighted and only data from staff members with regular patient contact (n = 506) were included. Descriptive statistics of the survey items are presented and in a second step using structural equation modelling (SEM), we regressed the latent variables attitudes, subjective norms (SN), perceived behavioural control (PBC), past cessation support behaviour (PB) and ...