Self-reported prevalence of asthma symptoms in adults living in a port city

Air pollution is a worldwide health problem, and exposure to the pollution can cause damage to the human body, especially to the respiratory and cardiovascular systems. Asthma is the third most common chronic disease in Brazil, presenting high prevalence in some areas. The aim of this study was to e...

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Bibliographic Details
Published in:Environmental science and pollution research international 2022-10, Vol.29 (48), p.73519-73527
Main Authors: de Camargo Matos, Janara, Botelho, Mônica Luiza De Arruda, Pamplona, Ysabely De Aguiar Pontes, Pereira, Luiz Alberto Amador, Braga, Alfésio Luís Ferreira, Martins, Lourdes Conceição
Format: Article
Language:English
Subjects:
Adults
Air pollution
Aquatic Pollution
Asthma
Atmospheric Protection/Air Quality Control/Air Pollution
Chi-square test
Chronic illnesses
Cross-sectional studies
Demographic variables
Earth and Environmental Science
Ecotoxicology
Environment
Environmental Chemistry
Environmental Health
Environmental science
Regression analysis
Regression models
Research Article
Risk analysis
Risk factors
Signs and symptoms
Waste Water Technology
Water Management
Water Pollution Control
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Summary:Air pollution is a worldwide health problem, and exposure to the pollution can cause damage to the human body, especially to the respiratory and cardiovascular systems. Asthma is the third most common chronic disease in Brazil, presenting high prevalence in some areas. The aim of this study was to evaluate the self-report the prevalence of asthma symptoms in Santos city, Brazil, and its associated factors in the adult population (between 18 and 59 years old). A cross-sectional study was applied in two different areas of the city. The participants of this study were selected by zip code estimated on a random sample. The ECHRS and a demographic questionnaire were used to collect data. Associations between categorical variables were tested using Pearson’s chi-square test or Fisher’s exact test. Single and multiple logistic regression models were applied to evaluate the risk factors for asthma. Georeferencing was implemented to distribute the cases. The highest prevalence of asthma was found in Ponta da Praia neighborhood (16.4%; p =0.019), as well as waking up with a coughing crisis in the last 12 months (26.4%; p
ISSN:0944-1344
1614-7499
DOI:10.1007/s11356-022-21066-4