Effect of a telephone-delivered coronary heart disease secondary prevention program (ProActive Heart) on quality of life and health behaviours: primary outcomes of a randomised controlled trial

Background Participation in coronary heart disease secondary prevention programs is low. Innovative programs to meet this treatment gap are required.

Purpose To aim of this study is to describe the effectiveness of a telephone-delivered secondary prevention program for myocardial infarction patients.

Methods Four hundred and thirty adult myocardial infarction patients in Brisbane, Australia were randomised to a 6-month secondary prevention program or usual care. Primary outcomes were health-related quality of life (Short Form-36) and physical activity (Active Australia Survey).

Results Significant intervention effects were observed for health-related quality of life on the mental component summary score (p = 0.02), and the social functioning (p = 0.04) and role-emotional (p = 0.03) subscales, compared with usual care. Intervention participants were also more likely to meet recommended levels of physical activity (p = 0.02), body mass index (p = 0.05), vegetable intake (p = 0.04) and alcohol consumption (p = 0.05).

Conclusions Telephone-delivered secondary prevention programs can significantly improve health outcomes and could meet the treatment gap for myocardial infarction patients.

Use of electrochemical impedance spectroscopy for study of CO2 corrosion prevention by batch treatment inhibitor films

Electrochemical impedance spectroscopy (EIS) was used to study and evaluate commercial batch treatment inhibitors which are used for protecting oil wells, gas wells, and pipelines from CO2 corrosion, focusing on the evaluation of inhibitor film persistency. It was found that theformation and deterioration of batch treatment inhibitor films were accompanied by typical impedance spectral changes. During the formation of inhibitor films, electrode impedance showed a rapid increase and the Bode phase angle plots also showed a sudden change. Thus, the formation of inhibitor film was a very fast process. During the deterioration of inhibitor films, electrode impedance showed a gradual decrease and the Bode phase angle plots showed changes which characterised the three stages of the inhibitor film deterioration process. The relationships between EIS and corrosion rate are discussed, including comparisons with weight loss measurements. Based on the experimental findings in the present work, a method is suggested for estimating the persistency of inhibitor films by monitoring the characteristic changes in the Bode phase angle plots and by measuring electrochemical charge transfer resistance at the second and third stages of the inhibitor film deterioration process.

A parent focused child obesity prevention intervention improves some mother obesity risk behaviors : the Melbourne infant program

Background

The diets, physical activity and sedentary behavior levels of both children and adults in Australia are suboptimal. The family environment, as the first ecological niche of children, exerts an important influence on the onset of children's habits. Parent modeling is one part of this environment and a logical focus for child obesity prevention initiatives. The focus on parent's own behaviors provides a potential opportunity to decrease obesity risk behaviors in parents as well.
Objective

To assess the effect of a parent-focused early childhood obesity prevention intervention on first-time mothers' diets, physical activity and TV viewing time.
Methods

The Melbourne InFANT Program is a cluster-randomized controlled trial which involved 542 mothers over their newborn's first 18 months of life. The intervention focused on parenting skills and strategies, including parental modeling, and aimed to promote development of healthy child and parent behaviors from birth, including healthy diet, increased physical activity and reduced TV viewing time. Data regarding mothers' diet (food frequency questionnaire), physical activity and TV viewing times (self-reported questionnaire) were collected using validated tools at both baseline and post-intervention. Four dietary patterns were derived at baseline using principal components analyses including frequencies of 55 food groups. Analysis of covariance was used to measure the impact of the intervention.
Results

The scores of both the "High-energy snack and processed foods" and the "High-fat foods" dietary patterns decreased more in the intervention group: -0.22 ([MINUS SIGN]0.42;-0.02) and [MINUS SIGN]0.25 ([MINUS SIGN]0.50;-0.01), respectively. No other significant intervention vs. control effects were observed regarding total physical activity, TV viewing time, and the two other dietary patterns, i.e. "Fruits and vegetables" and "Cereals and sweet foods".
Conclusions

These findings suggest that supporting first-time mothers to promote healthy lifestyle behaviors in their infants impacts maternal dietary intakes positively. Further research needs to assess ways in which we might further enhance those lifestyle behaviors not impacted by the InFANT intervention.

The theoretical underpinnings of rural injury and its impact on prevention programs

Many observations support the concept of an entity that could be described as ‘rural injury,’ yet the nature and limits of this concept are little explored. We demonstrate the complexity through descriptions along a single dimension: place.

Rural injury may be considered as consisting of both ‘Rural specific injury’ (Farm/agricultural, Forestry and Mining related injuries and Injuries in state/national parks) and also rural instances of ‘Injury which is not location specific’. Examples of the latter category include water related (especially boating & fishing), other industrial, Road Trauma, Sporting and Domestic injuries.

A comparative analysis of decision trees vis-à-vis other computational data mining techniques in automotive insurance fraud detection

The development and application of computational data mining techniques in financial fraud detection and business failure prediction has become a popular cross-disciplinary research area in recent times involving financial economists, forensic accountants and computational modellers. Some of the computational techniques popularly used in the context of - financial fraud detection and business failure prediction can also be effectively applied in the detection of fraudulent insurance claims and therefore, can be of immense practical value to the insurance industry. We provide a comparative analysis of prediction performance of a battery of data mining techniques using real-life automotive insurance fraud data. While the data we have used in our paper is US-based, the computational techniques we have tested can be adapted and generally applied to detect similar insurance frauds in other countries as well where an organized automotive insurance industry exists.