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Published by Universitas Tanjungpura
ISSN : -     EISSN : 25989014     DOI : http://dx.doi.org/10.26418/jpn.v6i2
Core Subject : Health,
Nursing
This Journal aims to improve nursing science development, especially in nursing education by publishing scientific papers from researchers, lecturers, and practitioners of nursing and health professional both on a national and international.
Arjuna Subject : Keperawatan - Keperawatan (Lain-Lain)
Articles 501 Documents
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The Relationship Between Maternal Knowledge of Exclusive Breastfeeding and Stunting Incidence Among Children Aged 12-59 Months Alfajri, Ridho Fadila; Fitriangga, Agus; Rachmadi, Fidi

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Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/.v10i2.101732

Abstract

Background: Stunting remains a major public health challenge, influenced by multiple factors including maternal knowledge about exclusive breastfeeding. Understanding this relationship is essential for improving child nutritional outcomes. Objective: To determine the association between maternal knowledge of exclusive breastfeeding and the incidence of stunting among children aged 12-59 months in the working area of Saigon Community Health Center, Pontianak. Methods: A cross-sectional study was conducted involving 48 children aged 12-59 months. Maternal knowledge was assessed using a structured questionnaire and categorized into low, moderate, and high levels. Child height was measured using standardized anthropometric procedures, and height-for-age z-scores (HAZ) were calculated using WHO Growth Standards. Stunting was defined as HAZ < -2 SD. Data were analyzed using the Chi-square test with a significance level of α = 0.05. Results: Of the 48 children, 46 were classified as stunted. The Chi-square test indicated no statistically significant association between maternal knowledge of exclusive breastfeeding and stunting incidence (p = 0.203). Conclusion: Maternal knowledge regarding exclusive breastfeeding was not significantly associated with stunting in this study population. Further research with larger sample sizes and multivariate analysis is recommended to explore additional contributing factors.

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