Measuring stigma in children receiving mental health treatment: Validation of the Paediatric Self-Stigmatization Scale (PaedS)

BACKGROUND: Research on the impact of stigma associated with mental illness in children is scarce. Considering the known negative effects of stigma associated with mental illness in adults, it is crucial to explore the stigma experienced by children who access mental health treatment. However, no scale measuring self-stigmatization in younger children is available to date. This study aimed to develop and validate such a scale, the Paediatric Self-Stigmatization Scale (PaedS). METHODS: A total of 156 children (119 receiving outpatient and 37 receiving inpatient treatment), aged 8-12 years, completed the PaedS, the Self-Perception Profile for Children and the Pediatric Quality of Life Inventory (PedsQL - Child Report, ages 8-12). In addition, parents completed the PedsQL (Parent Report for Children, ages 8-12), the Strengths and Difficulties Questionnaire (SDQ) and a modified subscale of the PaedS measuring the children's rejection by others due to their mental health difficulties. RESULTS: A confirmatory factor analysis showed that a four-factor structure, comprising Societal Devaluation, Personal Rejection, Self-Stigma and Secrecy scales, had excellent fit to the data (CFI=0.95; TLI=0.95; RMSEA=0.05). Child-reported PaedS scores were positively correlated with parental-reported PaedS scores and negatively with PedsQL, the SDQ, and 5 out of 6 subscales of the Self-Perception Profile for Children, suggesting adequate convergent validity (all P-values<0.05). CONCLUSIONS: The PaedS is a valid instrument, which is hoped to advance the understanding of self-stigmatization in children with mental health difficulties and contribute to its prevention

Managing risks to drivers in road transport

This report presents a number of case studies in managing risks to road transport drivers. The cases feature a variety of initiatives and interventions to protect drivers.In the road transport sector, as with any other, it is important to pay attention to working conditions in order to ensure a skilled and motivated workforce. Certain characteristics of the sector make it more difficult to practice risk management than in other sectors. But by taking account of how the sector operates in practice, and the characteristics of drivers themselves and the way they work, risks can be successfully manage

The socio-demographic patterning of sexual risk behaviour: a survey of young men in Finland and Estonia

<p>Abstract</p> <p>Background</p> <p>Sexually transmitted infections (STIs) among the youth are an increasing challenge for public health in Europe. This study provided estimates of men's (18–25 years) sexual risk behaviour and self-reported STIs and their socio-demographic patterning in Finland and Estonia; two countries that are geographically close, but have very different STI epidemics.</p> <p>Method</p> <p>Nationally representative cross-sectional population surveys with comparable survey questions were used. Data from self-administered questionnaires for 1765 men aged 18–25 years in Finland (85% of the age cohort was included in the sampling frame, 95% of the sample responded) and 748 in Estonia, with a response rate of 43% respectively, were analysed. Socio-demographic patterning of multiple partners, condom use and self-reported STIs are presented was studied using multiple logistic regression analysis.</p> <p>Results</p> <p>The main findings focus on associations found within each country. In Finland, higher age, low education and to a lesser extent relationship with a non-steady partner increased the likelihood of reporting multiple lifetime-partners, while in Estonia only higher age and low education revealed this effect. In relation to unprotected intercourse, in Finland, higher age, low education and relationship status with a steady partner increased the likelihood of reporting unprotected intercourse. In Estonia, the same was observed only for relationship status. In Finland the likelihood of self-reported STIs increased by older age and lower education and decreased by being with a non-steady partner, while in Estonia, a non-significant increase in self-reported STIs was observed only in the older age group.</p> <p>Conclusion</p> <p>A clear socio-demographic patterning for sexual behaviour and self-reported STIs was revealed in Finland, but a less consistent trend was seen in Estonia. The findings of this study suggest that prevention strategies should focus in Finland on less educated singles and in Estonia on young men generally.</p

Haplotype structure and population genetic inferences from nucleotide-sequence variation in human lipoprotein lipase.

Allelic variation in 9.7 kb of genomic DNA sequence from the human lipoprotein lipase gene (LPL) was scored in 71 healthy individuals (142 chromosomes) from three populations: African Americans (24) from Jackson, MS; Finns (24) from North Karelia, Finland; and non-Hispanic Whites (23) from Rochester, MN. The sequences had a total of 88 variable sites, with a nucleotide diversity (site-specific heterozygosity) of .002+/-.001 across this 9.7-kb region. The frequency spectrum of nucleotide variation exhibited a slight excess of heterozygosity, but, in general, the data fit expectations of the infinite-sites model of mutation and genetic drift. Allele-specific PCR helped resolve linkage phases, and a total of 88 distinct haplotypes were identified. For 1,410 (64%) of the 2,211 site pairs, all four possible gametes were present in these haplotypes, reflecting a rich history of past recombination. Despite the strong evidence for recombination, extensive linkage disequilibrium was observed. The number of haplotypes generally is much greater than the number expected under the infinite-sites model, but there was sufficient multisite linkage disequilibrium to reveal two major clades, which appear to be very old. Variation in this region of LPL may depart from the variation expected under a simple, neutral model, owing to complex historical patterns of population founding, drift, selection, and recombination. These data suggest that the design and interpretation of disease-association studies may not be as straightforward as often is assumed