100 research outputs found

    Cost-effectiveness model of using zoledronic acid once a year versus current treatment strategies in postmenopausal osteoporosis

    Get PDF
    OBJECTIVES: To compare effectiveness, associated cost of outcomes and cost-effectiveness of a single annual infusion of zoledronic acid versus current treatment strategies plans for postmenopausal osteoporosis in France. METHODS: Twelve simulation-based models were built to investigate three types of fractures: vertebral (VF), non-vertebral excluding hip (NVF) and hip (HF), comparing two groups: zoledronic acid and current postmenopausal antiosteoporotic treatment strategies. Two effectiveness comparability assumptions have been tested: specific agent efficacy values, and same standard efficacy values for all active agents. Direct medical costs included drug costs, medical visits, monitoring and fracture management. Adherence levels were integrated into the model under the assumption that non-adherent patients had treatment effects similar to the levels of placebo effectiveness. RESULTS: Using the most conservative assumption (same standard efficacy values for all active agents), zoledronic acid strategy results in less vertebral, non-vertebral and hip fractures than other current antiosteoporotic treatment options over 3 years: 12.04% vs. 14.18%, 10.61% vs. 11.28% and 2.82% vs. 4.64% respectively, (p<0.001). In addition, zoledronic acid is more cost-effective than the current treatment strategies in all types of fractures (p<0.001): 1497 euros vs. 1685 euros per VF avoided, 1337 euros vs. 1404 euros per NVF avoided and 1216 euros vs. 1323 euros per HF avoided. CONCLUSION: Zoledronic acid is a cost-effective treatment strategy regardless of fracture type or effectiveness comparability assumptions

    Genetic Markers of Obesity Risk: Stronger Associations with Body Composition in Overweight Compared to Normal-Weight Children

    Get PDF
    Genetic factors are important determinants of overweight. We examined whether there are differential effect sizes depending on children's body composition. We analysed data of n = 4,837 children recorded in the Avon Longitudinal Study of Parents and Children (ALSPAC), applying quantile regression with sex- and age-specific standard deviation scores (SDS) of body mass index (BMI) or with body fat mass index and fat-free mass index at 9 years as outcome variables and an "obesity-risk-allele score" based on eight genetic variants known to be associated with childhood BMI as the explanatory variable. The quantile regression coefficients increased with increasing child's BMI-SDS and fat mass index percentiles, indicating larger effects of the genetic factors at higher percentiles. While the associations with BMI-SDS were of similar size in medium and high BMI quantiles (40th percentile and above), effect sizes with fat mass index increased over the whole fat mass index distribution. For example, the fat mass index of a normal-weight (50th percentile) child was increased by 0.13 kg/m(2) (95% confidence interval (CI): 0.09, 0.16) per additional allele, compared to 0.24 kg/m(2) per allele (95% CI: 0.15, 0.32) in children at the 90th percentile. The genetic associations with fat-free mass index were weaker and the quantile regression effects less pronounced than those on fat mass index. Genetic risk factors for childhood overweight appear to have greater effects on fatter children. Interaction of known genetic factors with environmental or unknown genetic factors might provide a potential explanation of these findings

    Risk factors for childhood obesity: shift of the entire BMI distribution vs. shift of the upper tail only in a cross sectional study

    Get PDF
    Background: Previous studies reported an increase of upper body mass index (BMI) quantiles for formula fed infants compared to breastfed infants, while corresponding mean differences were low. The aim of this study was to assess the impact of known risk factors for childhood obesity on the BMI distribution. Methods: Data on 4,884 children were obtained at obligatory school entry health examinations in Bavaria (Germany). Exposure variables were formula feeding, maternal smoking in pregnancy, excessive TV-watching, low meal frequency, poor parental education, maternal overweight and high infant weight gain. Cumulative BMI distributions and Tukey mean-difference plots were used to assess possible shifts of BMI distributions by exposure. Results: Maternal overweight and high infant weight gain shifted the entire BMI-distribution with an accentuation on upper quantiles to higher BMI values. In contrast, parental education, formula feeding, high TV consumption, low meal frequency and maternal smoking in pregnancy resulted in a shift of upper quantiles only. Conclusion: The single shifts among upper parts of the BMI distribution might be due to effect modification of the corresponding exposures by another environmental exposure or genetic predisposition. Affected individuals might represent a susceptible subpopulation of the exposed

    Microscopy in forensic science

    Get PDF
    This chapter examines the use of electron microscopy, atomic force microscopy and other analytical techniques in forensic investigation and research. These tools can be used to enhance examination of human remains and trace evidence to improve understanding of cause of death, victim identification or post mortem interval.A police-designed scenario is used to highlight trace evidence such as glass, gun shot residue and paint. The validity of forensic techniques is discussed, with reference to international standards, repeatability, and false convictions. Ballistic evidence is used to highlight the complexities in evidence interpretation, including manufacturing variability, environmental effects and likelihood ratios.The use of scanning electron microscopy (SEM), atomic force microscopy (AFM) and other techniques in the development of forensic research is showcased, with particular examples from the field of fingerprints. Examples include improvements in the development of fingermarks from difficult surfaces, interaction of evidence types, and added intelligence from the crime scene, such as forensic timeline or gender of perpetrator

    Off-line signature verification: Recent advances and perspectives

    No full text

    Symposium on ‘Nutrition and health in children and adolescents’ Session 4: Obesity prevention in children and adolescents The effect of physical activity on body fatness in children and adolescents

    Get PDF
    Original article can be found at: http://journals.cambridge.org/ Copyright The Authors. DOI: 10.1017/S0029665106005155With the increasing prevalence of childhood obesity, there is an urgent need to identify risk factors that are amenable to preventative action. However, there is a remarkable lack of consistency between studies that have investigated the relationships between measurements of physical activity and energy expenditure and body fatness in children. This disparity could be because energy intake is a more important determinant in preventing obesity. Alternatively, some of the conflicting results could be related to methodological limitations in assessing activity and body composition. Erroneous conclusions may be drawn if physical activity energy expenditure is not adjusted for differences in body composition, or body fat is not appropriately adjusted for body size. For public health purposes it may be more informative to evaluate the amount and intensity of physical activity required to prevent fat-mass gain than to assess energy expended in physical activity. The lack of consensus in the cut-off points applied to define intensity levels is severely hindering comparisons between studies using accelerometers that have examined relationships between activity intensity and body fatness. Thus, it is not currently possible to develop a firm evidence base on which to establish physical activity recommendations until the limitations are addressed and more prospective studies undertaken. In order to turn research into effective prevention strategies a clearer understanding of the psycho-social, behavioural and environmental factors that influence activity is needed, including the interactions between physical activity and other behaviours such as time spent sedentary, sleeping and eating.Peer reviewe
    corecore