Prevalence and Determinants of Self-medication Consumption of Antibiotics in Children in Iran: A Population-based Cross-sectional Study, 2018-19

Introduction: The prevalence of self-medication of antibiotics has been revealed in various studies. The main aim of this work is to investigate the frequency of self-medication in children under 6 years and the factors affecting it.

Methods: This is a population-based cross-sectional study conducted in the Arak metropolitan in the center of Iran from January 2019 to January 2020. We used stratified random sampling to determine recruitment criteria. As 1754 households were invited to the study that 1483 were approved to participate. Children's data were obtained by the interview with their mothers. In order to define self-medication consumption of antibiotics, it was adapted between annually maternal self-reported consumption of antibiotics among their children and history of received antibiotics registered in insurance services during the same time period. Logistic regression models were exploited to obtain odds ratios and 95% confidence intervals.

Results: Mean age of mothers was 31.8 years (SD = 5.4), 52.1% of the children were boys. Annually self-medication of antibiotic consumption was estimated 61.6% (n = 914). Based on the logistic regression analysis, in the adjusted analysis, girls were associated with self-medication consumption of antibiotics lower than boys' children (p = 0.016). Older mothers were lower self-medication consumption of antibiotics than youngers (p = 0.001). Moreover, the permanent job of fathers was associated with lower self-medication consumption of antibiotics than temporarily and unemployment (p = .001). The odds of self-medication consumption of antibiotics were increasing with the increase in age of children (OR: 1.21, CI95%: 1.12, 1.31 and p = 0.001). The increase in parity has been a significant association with the self-medication consumption of antibiotics (OR: 1.64, CI95%: 1.38, 1.95and p = 0.001).

Conclusion: Results of this study show that some factors such as children's age, gender, mother's age, father's occupational status, and parity are the determinants that significantly impact the self-medication prevalence.