Factors associated with residential fire-related hospitalisations and deaths: A 10-year population-based study.

This study aims to identify residential fire risk factors and their health outcomes in terms of hospital admissions from burns and smoke inhalation together with related readmissions, length of hospital stay (LOS), costs of hospitalisation and mortality within 30 days of the fire incidence. Residential fire-related hospitalisations from 2005 to 2014 in New South Wales, Australia were identified using linked data. Univariate and multivariable Poisson regression analyses were performed to determine factors associated with residential fires on hospital admission and loss of life. During the study period, 1862 individuals were hospitalised due to residential fires. In terms of prolonged LOS, high hospitalisation cost or mortality, fire incidents' that damaged both contents and structures of the property; were ignited by smokers' materials and/or due to mental or physical impairment of the residents had more adverse outcomes. Individuals aged 65 and over with comorbidities and/or acquired severe injuries from the fire incident were at a higher risk of long-term hospitalisation and death. This study provides information to response agencies in communicating fire safety messages and intervention programs to target vulnerable population. In addition, it also supplies indicators on hospital usage and LOS following residential fires to health administrators.

The Impact of Reduced Fire Risk Cigarettes Regulation on Residential Fire Incidents, Mortality and Health Service Utilisation in New South Wales, Australia.

Smoking materials are a common ignition source for residential fires. In Australia, reduced fire risk (RFR) cigarettes regulation was implemented in 2010. However, the impact of this regulation on residential fires is unknown. This paper examines the impact of the RFR cigarettes regulation on the severity and health outcomes of fire incidents in New South Wales (NSW), Australia, from 2005 to 2014. Fire department data from 2005 to 2014 were linked with ambulance, emergency department, hospital, outpatient burns clinic and mortality datasets for NSW. Negative binomial regression analysis was performed to assess the changes to fire incidents' severity pre- and post-RFR cigarettes regulation. There was an 8% reduction in total fire incidents caused by smokers' materials post-RFR cigarettes regulation. Smokers' materials fire incidents that damaged both contents and structure of the building, where fire flames extended beyond the room of fire origin, with over AUD 1000 monetary damage loss, decreased by 18, 22 and 12%, respectively. RFR cigarettes regulation as a fire risk mitigation has positively impacted the residential fire incident outcomes. This provides support for regulation of fire risk protective measures and bestows some direction for other fire safety policies and regulations.

Comparison of causes, characteristics and consequences of residential fires in social and non-social housing dwellings in New South Wales, Australia.

There are over 17,000 residential fire incidents in Australia annually, of which 6,500 occur in New South Wales (NSW). The number of state-provided accommodations for those on low incomes (social housing), is over 437,000 in Australia of which 34% are located in NSW. This study compared causes, characteristics and consequences of residential fires in social and non-social housing in NSW, Australia. This population-based study used linked fire brigade and health service data to identify those who experienced a residential fire incident from 2005 to 2014. Over the study period, 43,707 residential fires were reported, of which 5,073 (11.6%) occurred in social housing properties. Fires in social housing were more likely to occur in apartments (RR 1.85, 95%CI 1.75-1.96), caused by matches and lighters (RR 1.62, 95%CI 1.51-1.74) and smokers' materials (RR 1.51, 95%CI 1.34 - 1.71). The risk of health service utilisation or hospital admission was 16% (RR 1.16, 95%CI 1.04-1.28) and 25% (RR 1.25, 95%CI 1.02-1.51) higher in social housing respectively. Those aged 25-65 were at 40% (RR 1.40, 95%CI 1.14 - 1.73) higher risk of using residential fire-related health services. Almost 88% of social housing properties did not have a functioning fire detector of any type, and 1.2% were equipped with sprinklers. Overall, the risk of residential fire incidents and associated injuries was higher for residents in social housing. Risk mitigation strategies beyond the current provision of smoke alarms are required to reduce the impact of residential fires in social and non-social housing.

Estimating the Total Number of Residential Fire-Related Incidents and Underreported Residential Fire Incidents in New South Wales, Australia by Using Linked Administrative Data.

The rate of fires, and particularly residential fires, is a serious concern in industrialized countries. However, there is considerable uncertainty regarding the reported numbers of residential fire incidents as official figures are based on fires reported to fire response agencies only. This population-based study aims to quantify the total number of residential fire incidents regardless of reporting status. The cohort comprised linked person-level data from Fire and Rescue New South Wales (FRNSW) and health system and death records. It included all persons residing at a residential address in New South Wales, Australia, that experienced a fire between 1 January 2005 and 31 December 2014. The capture-recapture method was used to estimate the underreporting number of residential fire-related incidents. Over the study period, 43,707 residential fire incidents were reported to FRNSW, and there were 2795 residential fire-related health service utilizations, of which 2380 were not reported. Using the capture-recapture method, the total number of residential fire incidents was estimated at 267,815 to 319,719, which is more than six times the official records. This study found that 15% of residential fire incidents that were identified in health administrative dataset were reported. The residential fire incidents that were not reported occurred mainly in socio-economically disadvantaged areas among males and adults.

Modelling Gender Differences in the Economic and Social Influences of Obesity in Australian Young People.

In Australia, as in many other developed economies, the prevalence of obesity has risen significantly in all age groups and especially in young males and females over the past decade. Using data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey, this paper investigates the influence of economic, personality and social factor demographics on the incidence of obesity in Australian youths. The study uses two random parameters logit models, including one that allows for gender-specific differences in the conditioning variables. The models reveal notable differences between the most important variables affecting the incidence of obesity amongst females compared to males. These differences are notable to consider for policy and intervention programs aimed at reducing the problem of obesity.

Factors Influencing the Incidence of Obesity in Australia: A Generalized Ordered Probit Model.

The increasing health costs of and the risks factors associated with obesity are well documented. From this perspective, it is important that the propensity of individuals towards obesity is analyzed. This paper uses longitudinal data from the Household Income and Labour Dynamics in Australia (HILDA) Survey for 2005 to 2010 to model those variables which condition the probability of being obese. The model estimated is a random effects generalized ordered probit, which exploits two sources of heterogeneity; the individual heterogeneity of panel data models and heterogeneity across body mass index (BMI) categories. The latter is associated with non-parallel thresholds in the generalized ordered model, where the thresholds are functions of the conditioning variables, which comprise economic, social, and demographic and lifestyle variables. To control for potential predisposition to obesity, personality traits augment the empirical model. The results support the view that the probability of obesity is significantly determined by the conditioning variables. Particularly, personality is found to be important and these outcomes reinforce other work examining personality and obesity.