Workloads, strain processes and sickness absenteeism in nursing

OBJECTIVE: to analyze the workloads, strain processes and sickness absenteeism among nursing workers from a teaching hospital in the Brazilian Central-West. METHOD: a descriptive and cross-sectional study was developed with a quantitative approach, based on the theoretical framework of the social determination of the health-disease process. Data were collected between January and December 2009, based on records of complaints related to occupational exposure among nursing professionals, filed in the software Monitoring System of Nursing Workers' Health. For the sake of statistical analysis, relative and absolute frequencies of the variables and the risk coefficient were considered. RESULTS: 144 notifications of occupational exposure were registered across the analysis period, which represented 25% of the total nursing population at the hospital. The physiological and psychic workloads were the most representative, corresponding to 37% and 36%, respectively. These notifications culminated in 1567 days of absenteeism for disease treatment. CONCLUSIONS: the findings evidence the impact of occupational illnesses on the absenteeism of nursing workers, and can be used to demonstrate the importance of institutional investments in occupational health surveillance

Gravidez na adolescência e características socioeconômicas dos municípios do Estado de São Paulo, Brasil: análise espacial Teenage pregnancy rates and socioeconomic characteristics of municipalities in São Paulo State, Southeast Brazil: a spatial analysis

A gravidez na adolescência é um problema de saúde pública comum em todo o mundo. O objetivo deste estudo ecológico é estudar o padrão espacial da associação entre os percentuais de gravidez na adolescência e características socioeconômicas dos municípios do Estado de São Paulo, Brasil. Para isso, foi utilizado um modelo bayesiano com uma distribuição espacial que segue uma estrutura condicional autorregressiva (CAR), baseado em algoritmos Monte Carlo em cadeias de Markov (MCMC). Foram usados dados do Sistema de Informações sobre Nascidos Vivos (SINASC) e do Instituto Brasileiro de Geografia e Estatística (IBGE). Verificou-se que a ocorrência de gravidezes precoces apresentou-se maior nos municípios de menor produto interno bruto (PIB) per capita, com maior incidência de pobreza, de menor tamanho populacional, menor índice de desenvolvimento humano (IDH) e maior percentual de indivíduos com índice paulista de vulnerabilidade social (IPVS) igual a 5 ou 6, ou seja, mais vulneráveis. O estudo demonstra uma estreita associação entre gravidez na adolescência e indicadores econômicos e sociais.<br>Teenage pregnancy is a common public health problem worldwide. The objective of this ecological study was to investigate the spatial association between teenage pregnancy rates and socioeconomic characteristics of municipalities in São Paulo State, Southeast Brazil. We used a Bayesian model with a spatial distribution following a conditional autoregressive (CAR) form based on Markov Chain Monte Carlo algorithm. We used data from the Live Birth Information System (SINASC) and the Brazilian Institute of Geography and Statistics (IBGE). Early pregnancy was more frequent in municipalities with lower per capital gross domestic product (GDP), higher poverty rate, smaller population, lower human development index (HDI), and a higher percentage of individuals with State social vulnerability index of 5 or 6 (more vulnerable). The study demonstrates a significant association between teenage pregnancy and socioeconomic indicators