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1.
BMC Res Notes ; 10(1): 773, 2017 Dec 28.
Artigo em Inglês | MEDLINE | ID: mdl-29282116

RESUMO

BACKGROUND: Sickness absence, work disability associated with illness or injury, is a major public health problem worldwide. Some studies have investigated determinants of sickness absence among workers with shorter job tenure, but have only focused on certain diagnostic groups. Although it is well established that job tenure has an inverse relationship with work injury rate, less is known about its association with sickness absence for other disorders. Therefore, this study aimed to investigate the risk factors for incidence and duration of sickness absence according to diagnosis over a 7-year period. A dynamic cohort consisting of all permanent civil servants hired from 2005 to 2011 by the Goiania municipality-Brazil. Data of certified sickness absences longer than 3 days were analyzed. The incidence density was calculated per 1000 person-years in each ICD-10 category. The association between sickness absence and socio-demographic and occupational characteristics was examined using negative binomial regression models. RESULTS: 18,450 workers, mean age of 32 years, accumulated 14,909 episodes of sickness absence. Overall, the incidence density was 234.6 episodes per 1000 person years. Diagnostic groups with the highest incidence density of sickness absences were injuries (49.1), musculoskeletal disorders (31.3) and mental disorders (29.2). Factors predicting any sickness absence were female gender, older age, low education, being a health professional, multiple jobs and full-time employment. Mental health disorders were more common among education professionals, musculoskeletal disorders among blue collar workers and injuries among inspection workers. Prolonged time on sick leave was associated with male gender, older age groups, low education and income, blue-collar workers, more than one job contract and full time employment. CONCLUSIONS: These findings demonstrate a substantial sickness absentee burden and they provide relevant information for targeting prevention and health promotion policies to the most vulnerable occupational groups.


Assuntos
Absenteísmo , Transtornos Mentais/epidemiologia , Doenças Musculoesqueléticas/epidemiologia , Licença Médica/estatística & dados numéricos , Ferimentos e Lesões/epidemiologia , Adulto , Fatores Etários , Brasil/epidemiologia , Estudos de Coortes , Escolaridade , Feminino , Empregados do Governo/educação , Empregados do Governo/estatística & dados numéricos , Humanos , Incidência , Masculino , Pessoa de Meia-Idade , Saúde Ocupacional/tendências , Fatores de Risco , Fatores Sexuais
2.
Am J Ind Med ; 54(11): 858-71, 2011 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-21630300

RESUMO

BACKGROUND: Sickness benefit claims are an important economic burden to society. This study aims to determine the incidence of sickness benefit claims in Brazil in 2008, exploring the role of economic activity. METHODS: Population-based study on sickness claims lasting longer than 15 days of sickness absence granted to private sector employees. Data on gender, age, economic activity, diagnosis, and work-relatedness were collected. RESULTS: The annual incidence of sickness benefits was 421.8/10,000 jobs, 435.4 for males and 452.0 for females. There were 3.5 times more non-work-related than work-related claims. The main diagnoses were injuries, musculoskeletal disorders, and mental disorders. Rates increased with age up to 59 years. Economic activity 37-Sewage had the highest incidence of non-work-related and work-related claims. CONCLUSION: The incidence of sickness benefits is higher among female and older workers. Economic activities show great variability of sickness benefit rates, work-relatedness, diagnostic categories, and gender.


Assuntos
Absenteísmo , Benefícios do Seguro/estatística & dados numéricos , Seguro por Deficiência/estatística & dados numéricos , Doenças Profissionais/epidemiologia , Exposição Ocupacional/efeitos adversos , Saúde Ocupacional/estatística & dados numéricos , Adulto , Brasil/epidemiologia , Avaliação da Deficiência , Feminino , Nível de Saúde , Humanos , Incidência , Masculino , Pessoa de Meia-Idade , Doenças Profissionais/economia , Saúde Ocupacional/economia , Fatores de Risco , Previdência Social , Local de Trabalho , Adulto Jovem
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