Demanda e controle no trabalho e hipertensão arterial: validade dimensional e meta-análise

O modelo demanda e controle de Karasek, elaborado na década de 1970, postula que os trabalhadores expostos a situações de alta exigência no trabalho, decorrente da combinação entre altas demandas psicológicas e baixo controle sobre o processo de trabalho, tem maior risco de apresentar eventos em saúde relacionados ao estresse, em particular doenças cardiovasculares. Os objetivos desta tese incluíram: avaliar propriedades psicométricas do instrumento Demand-Control-Support Questionnaire (DCSQ) e conduzir uma meta-análise dos estudos publicados sobre a associação entre alta exigência no trabalho e hipertensão arterial. Três artigos foram elaborados. O primeiro artigo avaliou a validade dimensional e consistência interna da versão brasileira do instrumento DCSQ, quando aplicado a trabalhadores de um hospital e nove restaurantes no Rio de Janeiro. O segundo artigo comparou as propriedades psicométricas do DCSQ no contexto dos trabalhadores de hospital no Brasil e na Suécia. O terceiro artigo apresentou uma meta-análise dos estudos de associação entre alta exigência no trabalho e hipertensão arterial. Os resultados evidenciaram que o instrumento DCSQ tem estrutura tridimensional e equivalente nas versões brasileira e sueca (original), representada por demandas psicológicas, uso de habilidades e autonomia para a decisão. O modelo de melhor ajuste excluiu a dimensão apoio social no trabalho e o item trabalho repetitivo (uso de habilidades). A meta-análise revelou que os estudos foram heterogêneos, a população-alvo foi restrita a países da Europa, EUA e Japão, sem evidência de associação entre alta exigência no trabalho, demanda e controle, e hipertensão arterial.

Human Endogenous Retrovirus HERV-Fc1 Association with Multiple Sclerosis Susceptibility: A Meta-Analysis

Background: Human endogenous retroviruses (HERVs) are repetitive sequences derived from ancestral germ-line infections by exogenous retroviruses and different HERV families have been integrated in the genome. HERV-Fc1 in chromosome X has been previously associated with multiple sclerosis (MS) in Northern European populations. Additionally, HERV-Fc1 RNA levels of expression have been found increased in plasma of MS patients with active disease. Considering the North-South latitude gradient in MS prevalence, we aimed to evaluate the role of HERV-Fc1on MS risk in three independent Spanish cohorts. Methods: A single nucleotide polymorphism near HERV-Fc1, rs391745, was genotyped by Taqman chemistry in a total of 2473 MS patients and 3031 ethnically matched controls, consecutively recruited from: Northern (569 patients and 980 controls), Central (883 patients and 692 controls) and Southern (1021 patients and 1359 controls) Spain. Our results were pooled in a meta-analysis with previously published data. Results: Significant associations of the HERV-Fc1 polymorphism with MS were observed in two Spanish cohorts and the combined meta-analysis with previous data yielded a significant association [rs391745 C-allele carriers: p(M-H) = 0.0005; ORM-H (95% CI) = 1.27 (1.11-1.45)]. Concordantly to previous findings, when the analysis was restricted to relapsing remitting and secondary progressive MS samples, a slight enhancement in the strength of the association was observed [p(M-H) = 0.0003, ORM-H (95% CI) = 1.32 (1.14-1.53)]. Conclusion: Association of the HERV-Fc1 polymorphism rs391745 with bout-onset MS susceptibility was confirmed in Southern European cohorts.

A meta-analytic approach to quantifying scientific uncertainty in stock assessments

Quantifying scientific uncertainty when setting total allowable catch limits for fish stocks is a major challenge, but it is a requirement in the United States since changes to national fisheries legislation. Multiple sources of error are readily identifiable, including estimation error, model specification error, forecast error, and errors associated with the definition and estimation of reference points. Our focus here, however, is to quantify the influence of estimation error and model specification error on assessment outcomes. These are fundamental sources of uncertainty in developing scientific advice concerning appropriate catch levels and although a study of these two factors may not be inclusive, it is feasible with available information. For data-rich stock assessments conducted on the U.S. west coast we report approximate coefficients of variation in terminal biomass estimates from assessments based on inversion of the assessment of the model’s Hessian matrix (i.e., the asymptotic standard error). To summarize variation “among” stock assessments, as a proxy for model specification error, we characterize variation among multiple historical assessments of the same stock. Results indicate that for 17 groundfish and coastal pelagic species, the mean coefficient of variation of terminal biomass is 18%. In contrast, the coefficient of variation ascribable to model specification error (i.e., pooled among-assessment variation) is 37%. We show that if a precautionary probability of overfishing equal to 0.40 is adopted by managers, and only model specification error is considered, a 9% reduction in the overfishing catch level is indicated.