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Rev. méd. Chile ; 137(3): 337-344, mar. 2009. tab
Artículo en Español | LILACS | ID: lil-518492

RESUMEN

Background: The health associated costs of obesity can represent between 2 percent and 9 percent of the total health costs of a given country. Aim: To assess the impact of obesity on health care costs and absenteeism in a cohort of mine workers. Patients and wethods: Prospective study of 4.673 men, employees of a mining company, aged 49 ± 7 years that were followed for 24 ± 11 months. Total health care cost and days of sick leave were recordedfor each individual. The association between obesity and these variables was analyzed by logistic regression adjusting for co-morbidities, age and other variables. Results: Mean annual health care costs for obese workers were 17 percent higher (p <0.001) compared to workers with normal weight and 58 percent higher (p <0.001) for workers with severe and morbid obesity. Mean annual days of sick leave increased by 25 percento in the obese (p =0.002) and by 57 percento in subjects with severe and morbid obesity (p <0.001). For health care costs the most significant predictors were: presence of diabetes mellitus (Odds ratio (OR) 6.21, 95 percento confidence intervals (95 percent CI) 4.9 to 7.9), hypertension (OR 3-99; 95 percent CI3-4 to 4.6) and severe and morbid obesity (OR 2.55, 95 percento CI 1.9 to 3-4). For absenteeism the most significant predictors were: presence of diabetes mellitus (OR 1.58, 95 percent> CI 1.2 to 2.0), hypertension (OR 1,34, 95 percent> CI 1.2 to 1.6) and severe and morbid obesity (OR 1.50, 95 percento CI 1.1 to 2.1). Conclusions: Obesity increases significantly health care costs and absenteeism.


Asunto(s)
Adulto , Anciano , Humanos , Masculino , Persona de Mediana Edad , Absentismo , Costos de la Atención en Salud/estadística & datos numéricos , Minería/estadística & datos numéricos , Obesidad/economía , Enfermedades Profesionales/economía , Índice de Masa Corporal , Chile/epidemiología , Estudios de Cohortes , Comorbilidad , Gastos en Salud/estadística & datos numéricos , Estado Nutricional , Obesidad Mórbida/economía , Obesidad/complicaciones , Obesidad/epidemiología , Enfermedades Profesionales/epidemiología , Prevalencia , Estudios Prospectivos
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