The Fenix II Study: A longitudinal study of psychopathology among burn patients

Psychological symptoms are common among burn survivors. However, knowledge about epidemiology and predictors of psychopathology has shown great heterogeneity in this population. The Fenix-II Project was the first epidemiological study on the psychopathological consequences of burn injuries developed in Spain, providing a detailed analysis of the progression of psychological symptoms during the first six months after injury. Three hundred and thirty-three patients were monitored and 183 were included in this study. Posttraumatic, depression and anxiety symptoms showed a general decreasing tendency across time. At 6 months, 34 patients showed clinically significant Posttraumatic Stress Disorder (PTSD) symptoms (20.5% of 166 patients reached at 6 months) as measured with the MINI Neuropsychiatric Interview. Within this group of patients, anxiety, depression and hyperarousal increased at 30 days, and avoidance 90 days after injury. The most accurate predictors of PTSD were found to be being burned in a Motor Vehicle Accident, risk of social exclusion, low body-image adjustment, anterior trunk location of the burn injury and life threat perception during the burn-shock period. Considering these factors, clinicians may identify patients at risk of PTSD development, allowing an adequate follow up and preventive interventions which may minimize the psychological consequences of burn injuries.

Clustering of lifestyle risk behaviours among residents of forty deprived neighbourhoods in London: lessons for targeting public health interventions

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.