15. Statistical Analysis of the Awareness, Perception and Practice of Exclusive Breastfeeding among Mothers in Ikorodu Local Government Area of Lagos Nigeria.

Conference: Women in Statistics and Data Science 2024
10/16/2024: 4:00 PM - 5:00 PM EDT
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Description

This study examined mothers' knowledge, awareness perception and practice of exclusive breastfeeding to measure the concepts and predict the probability of breastfeeding babies exclusively by the mothers. Descriptive cross-sectional research was adopted and systematic random sampling was used to select 380 mothers across 3 local council development areas in Ikorodu with a well-structured self-administered questionnaire used to retrieve the data from them. Data collected were analysed using descriptive statistics, Chi-square test and Logistic regression analysis, with the aid of Statistical Package for Social Sciences (SPSS) version 25. The results show that the majority of mothers fall within the age group of 30-34 years while most mothers are married (76.8%) with good educational background. Mothers' knowledge of EBF was very good (89.9%), and most mothers are aware of EBF (84.5%). Most mothers didn't give infants water or pre-lacteal feed (75.9%), 71.6% introduced breast milk to infants within 1 hour of delivery, and the prevalence level of EBF is 76.8%. A binary logistic regression analysis revealed that rooming-in practice (OR 2.683; 95% CI 1.266, 5.687), not offering pre-lacteal feeds before breast milk (OR 2.246; 95% CI 1.16, 4.35), and not introducing water before breast milk (OR 2.156; 95% CI 1.153, 4.03) has more likelihood of EBF practice while housewife status (OR 0.314; 95% CI 0.106, 0.929) has less likelihood of EBF practice. The study therefore concluded that the knowledge, awareness, perceptions, practice and prevalence of exclusive breastfeeding among mothers is highly driven by rooming in practice, no pre-lacteal feeding and housewife status of the mothers.

Presenting Author

Yemisi olamide Ajiboye, Yaba College of Technology

First Author

Yemisi olamide Ajiboye, Yaba College of Technology

CoAuthor(s)

Eunice Idowu, Yaba College of Technology
Emmanuel Ikegwu, Yaba College of Technology

Target Audience

Beginner

Tracks

Knowledge
Women in Statistics and Data Science 2024