Int J Environ Res Public Health
May 2024
Introduction: Food insecurity (FI) experienced during pregnancy represents a relevant public health problem, as it negatively affects maternal and child health.
Objective: To investigate the prevalence of FI among pregnant women during the COVID-19 pandemic and determine associated factors.
Methods: A cross-sectional study was carried out in the period from 2021 to 2022, with a representative sample of 423 women resulting from a sample calculation based on the average (2912 births) that occurred in the years 2016 to 2020 in the only maternity hospital in the municipality.
To analyze the prevalence of anemia and associated factors in primiparous parturient.Cross-sectional study conducted in a municipality of the Brazilian Western Amazon from July 2014 to December 2015. A convenience sample of 461 first-time pregnant women were interviewed.
View Article and Find Full Text PDFObjective: to assess the quality of life and body image of men with difficulty urinating and indwelling urinary catheter users, integrating the socio-demographic, economic and morbidity variables.
Method: a cross-sectional analytical study with 64 male patients with urinary problems. Three questionnaires were used for data collection: one containing sociodemographic, economic and morbid data, the Medical Outcome Study 36-item short-form health survey to analyze quality of life, and the Body Dysmorphic Examination, which assesses body image.
Objective: To analyse maternal factors associated with prematurity in public maternity hospitals.
Design: Retrospective unmatched case-control study on two public maternity hospitals in the State of Acre, Brazil.
Setting And Participants: A sample of 341 newborn infants of premature birth (< 37 weeks; case group) and 388 newborn infants of term delivery (≥ 37 weeks; control group).
Objective: To describe the epidemiological characteristics of malaria and its main determinants in the municipality of Cruzeiro do Sul, State of Acre, Brazil, between 1998 and 2008.
Methods: This descriptive, retrospective study was carried out with secondary data available from the malaria information systems developed by the Brazilian Ministry of Health (SISMAL/SIVEP-Malária). The data were analyzed using the TABLEAU® software.