2 resultados para Premature luteolysis
em Research Open Access Repository of the University of East London.
Resumo:
This article explores how children see their relationships, particularly their sibling relationships, in families affected by domestic violence (DV) and how relationality emerges in their accounts as a resource to build an agentic sense of self. The ‘voice’ of children is largely absent from the DV literature, which typically portrays them as passive, damaged and relationally incompetent. Children’s own understandings of their relational worlds are often overlooked, and consequently, existing models of children’s social interactions give inadequate accounts of their meaning-making-in-context. Drawn from a larger study of children’s experiences of DV and abuse, this article uses two case studies of sibling relationships to explore young people’s use of relational resources, for coping with violence in the home. The article explores how relationality and coping intertwine in young people’s accounts and disrupts the taken-for-granted assumption that children’s ‘premature caring’ or ‘parentification’ is (only) pathological in children’s responses to DV. This has implications for understanding young people’s experiences in the present and supporting their capacity for relationship building in the future.
Resumo:
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.