Associations Between Indoor Air Pollutants and Risk Factors for Acute Respiratory Infection Symptoms in Children Under 5: An Analysis of Data From the Indonesia Demographic Health Survey
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Objectives: The study investigated the association between indoor air pollution (IAP) and risk factors for acute respiratory infection (ARI) symptoms in children under 5 years of age.Methods: A cross-sectional study was conducted using data derived from Indonesia Demographic and Health Survey in 2017. Binary logistic regression modeling was employed to examine each predictor variable associated with ARI among children under 5 years of age in Indonesia.Results: The study included a total of 4936 households with children. Among children under 5 years old, 7.2% reported ARI symptoms. The presence of ARI symptoms was significantly associated with the type of residence, wealth index, and father’s smoking frequency, which were considered the sample’s socio-demographic characteristics. In the final model, living in rural areas, having a high wealth index, the father’s smoking frequency, and a low education level were all linked to ARI symptoms.Conclusions: The results revealed that households in rural areas had a substantially higher level of reported ARI symptoms among children under 5 years old. Furthermore, the father’s smoking frequency and low education level were associated with ARI symptoms.
Abstract
Objectives: The study investigated the association between indoor air pollution (IAP) and risk factors for acute respiratory infection (ARI) symptoms in children under 5 years of age.Methods: A cross-sectional study was conducted using data derived from Indonesia Demographic and Health Survey in 2017. Binary logistic regression modeling was employed to examine each predictor variable associated with ARI among children under 5 years of age in Indonesia.Results: The study included a total of 4936 households with children. Among children under 5 years old, 7.2% reported ARI symptoms. The presence of ARI symptoms was significantly associated with the type of residence, wealth index, and father’s smoking frequency, which were considered the sample’s socio-demographic characteristics. In the final model, living in rural areas, having a high wealth index, the father’s smoking frequency, and a low education level were all linked to ARI symptoms.Conclusions: The results revealed that households in rural areas had a substantially higher level of reported ARI symptoms among children under 5 years old. Furthermore, the father’s smoking frequency and low education level were associated with ARI symptoms.
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