Workers health is a field of community health that has opened spaces for identifying and preventing work-related diseases, especially musculoskeletal disorders in view of their extent and magnitude. We conducted thus a cross-sectional study in the biggest metal industry in the city of Canoas--RS, aimed at identifying the musculoskeletal symptoms of a group of metal industry workers and the association of these symptoms with socio-demographic and occupational variables. Two questionnaires were employed for gathering data: the first one was used to collect information on demographic and occupational variables and individual life habits and the second for identifying the prevalence of musculoskeletal symptoms (Nordic Musculoskeletal Questionnaire). Results showed that 75.2 % of the workers had related some kind of musculoskeletal symptom during the last 12 months, 53.3% during the last 7 days and 38.5% had already taken a time off due to this problem. There was also an association between the musculoskeletal symptom and the variables sex, age, occupation and educational level. We conclude that there is a high prevalence of work-related musculoskeletal disorders among workers, calling for preventive actions and health promotion in the work environment.
OBJECTIVE: Data from two household surveys on infant and child health status undertaken in the mid-80s and mid-90s, complemented with previous data collected from maternity hospitals records and more recent data provided by the state system on birth registries, allowed to characterize and analyse secular trends in birth weight in the city of S. Paulo, Brazil. METHODS: The household surveys included random samples of children under 5 years old (n = 1,016 children in 1984-85 and n = 1,280 children in 1995-96). A random sample of births that took place in the city's hospitals in the year of 1976 (n = 5,734) was drawn from the hospital records. Birth registries refer to children born in the city between 1993 and 1998 (around 200,000 per year). The study of the social distribution of birth weight took into account the per capita family income and maternal schooling. For the analysis of the determinants of secular trends, hierarchical causal models, multivariate regression analyses and calculations analogous to the ones used to assess population attributable risks were applied. RESULTS/CONCLUSIONS: Birth weight distribution in S. Paulo city (an average of 3,160 g and 8.9% of the values