Introduction: The Brazilian Federal Government developed the Occupational Health and Safety policy for the Federal Public Servant, supported by the following axes: health surveillance and promotion, health assistance for the civil servant, and medical surveillance expertise. As a federal public institution, the Federal Institute of Northern Minas Gerais (Instituto Federal do Norte de Minas Gerais) is responsible for implementing this policy.
Objectives: This study aimed to identify the challenges and perspectives associated with the health care provided to the servants of the Federal Institute of Northern Minas Gerais.
Rev Bras Med Trab
February 2023
Introduction: Knowledge on the profile of sickness absenteeism among civil servants reveals their health and working conditions and provides valuable information for the creation of policies aimed at surveillance of servants' health.
Objectives: To investigate sickness absenteeism in a federal public education institution.
Methods: This was a cross-sectional, documentary, descriptive-exploratory study with a quantitative approach that dealt with the occurrence of sickness absenteeism among federal civil servants at National Institute of Northern Minas Gerais (Instituto Federal do Norte de Minas Gerais).
The scope of this article is to identify the factors associated with the costs of hospital admissions for Conditions Sensitive to Primary Care (CSPC) in the Unified Health System (SUS). It involved a cross-sectional, analytical study with random samples of hospitalizations in the SUS over the period of two years. The distribution of costs and the duration of 414 hospitalizations were evaluated according to sex, age group and CSPC.
View Article and Find Full Text PDFEpidemiol Serv Saude
October 2021
Objective: To analyze the prevalence of abdominal obesity and associated factors in quilombola communities in Northern Minas Gerais, Brazil.
Methods: This was a cross-sectional study conducted in 2019 through structured interviews and waist circumference measurement; Poisson regression was used, separated by gender, to calculate prevalence ratios (PR) of abdominal obesity adjusted by independent variables and 95% confidence interval (95%CI).
Results: 56.