[Acute psychosis as a manifestation of small cell carcinoma of the lung].
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Biomedical subjects
Publications and source records attributed to M Barceló.
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OBJECTIVES: To estimate the prevalence of obesity and overweight in the population of Girona (Spain) between 1995 and 1999 and to divide the prevalences in geographical areas according to age and sex. METHODS: Height and weight were directly measures in 24,554 health care consumers older than 14 years (10,595 men and 13,959 women) treated in four primary health care areas: Girona 1, Girona 4, Salt and Camprodon and in one primary health care center in the province of Girona. Body mas index (BMI) was calcuted by dividing weight in kilograms bye height in meters squared. Obesity was defined as grades II and III of Garrow's index (BMI >= 30 kg/m2) and overweight as degree I (25 kg/m2 >= BMI < 30 kg/m2). Because the sample was not randomized, the prevalences were adequately weighted. The comparison between prevalences in two different primary health care areas for each sex (in the same Garrow's index and age group) was carried out using a parametric test of differences in proportions (Student's t-test). A hierarchical logistic regression was used to compare prevalences in the same grade Garrow's index, controlling for age and sex. RESULTS: The prevalence of obesity was estimated as 15.6% in men aged from 20-74 years (from 14.0% in Girona 1 to 22.4% in Camprodon) and 17.5% for women (15.6% in Girona 1, 22.7% in Camprodon). The weighted mean was 16.7%. The prevalence of overweight was 44% in men and 33% in women and the weighted mean was 37.8%. The prevalence of obesity was graduated with statistically significant differences between Girona 1, Salt, Girona 4, Camprodon and Sils. CONCLUSIONS: The estimates of the prevalences of obesity and overweight obtained in this study were closer to those of other studies in similar populations than previously believed. Indeed, the prevalences may be similar to those of the European Union and, in some age groups, to those of the United States.
OBJECTIVES: To apply different regression models to estimate rate ratios for temporary sick-leave (TSL) which may occur several times in the same individual during a period, and the frequency is not constant for the observation period. SUBJECTS AND METHODS: All workers employed more than 30 days between January 1st of 1992 and June 1st of 1995 were included into the population study. The following period was 1,259 days and the total number of workers included in the study was 2,306. During that period 2,649 TSL episodes were notified, which meant 85,947 lost days. Poisson regression, Generalised Estimating Equations (GEE) and Andersen-Gill modification of Cox regression modify by Wei (WLW) were applied. RESULTS: The highest TSL incidence rates were seen in women, lesser than 30 years old, cleaners, maintenance workers and auxiliary nurses, and those involved in shiftwork. This profile was not modified after applying GEE and WLW regression models, although confidence intervals were widened. CONCLUSIONS: TSL data does not fit Poisson regression assumptions, but GEE and WLW regression models do not appear as alternatives. Other conditional regression models would need to be explored to suitably analyse this data.