2 resultados para Health for Good Living

em Research Open Access Repository of the University of East London.


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The change from an institutional to community care model of mental health services can be seen as a fundamental spatial change in the lives of service users (Payne, 1999; Symonds & Kelly, 1998; Wolch & Philo, 2000). It has been argued that little attention has been paid to the experience of the specific sites of mental health care, due to a utopic (idealised and placeless) idea of ‘community’ present in ‘community care’ (Symonds, 1998). This project hence explored the role of space in service users’ experiences, both of mental health care, and community living. Seventeen ‘spatial interviews’ with service users, utilising participatory mapping techniques (Gould & White, 1974; Herlihy & Knapp, 2003; Pain & Francis, 2003), plus seven, already published first person narratives of distress (Hornstein, 2009), were analysed using thematic analysis (Braun & Clarke, 2006). Mental health service sites are argued to have been described as heterotopias (Foucault, 1986a) of a ‘control society’ (Deleuze, 1992), dominated by observation and the administration of risk (Rose, 1998a), which can in turn be seen to make visible (Hetherington, 2011) to service users a passive and stigmatised subject position (Scheff, 1974; 1999). Such visible positioning can be seen to ‘modulate’ (Deleuze, 1992) participants’ experiences in mainstream space. The management of space has hence been argued to be a central issue in the production and management of distress and madness in the community, both in terms of a differential experience of spaces as ‘concordant’ or ‘discordant’ with distress, and with movement through space being described as a key mediator of experiences of distress. It is argued that this consideration of space has profound implications for the ‘social inclusion’ agenda (Spandler, 2007; Wallcraft, 2001).

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Background Clustering of lifestyle risk behaviours is very important in predicting premature mortality. Understanding the extent to which risk behaviours are clustered in deprived communities is vital to most effectively target public health interventions. Methods We examined co-occurrence and associations between risk behaviours (smoking, alcohol consumption, poor diet, low physical activity and high sedentary time) reported by adults living in deprived London neighbourhoods. Associations between sociodemographic characteristics and clustered risk behaviours were examined. Latent class analysis was used to identify underlying clustering of behaviours. Results Over 90% of respondents reported at least one risk behaviour. Reporting specific risk behaviours predicted reporting of further risk behaviours. Latent class analyses revealed four underlying classes. Membership of a maximal risk behaviour class was more likely for young, white males who were unable to work. Conclusions Compared with recent national level analysis, there was a weaker relationship between education and clustering of behaviours and a very high prevalence of clustering of risk behaviours in those unable to work. Young, white men who report difficulty managing on income were at high risk of reporting multiple risk behaviours. These groups may be an important target for interventions to reduce premature mortality caused by multiple risk behaviours.