Factors predicting chronic malnutrition among young children in Myanmar
1
Issued Date
2022
Copyright Date
2022
Resource Type
Language
eng
File Type
application/pdf
No. of Pages/File Size
xi, 121 leaves : ill.
Access Rights
open access
Rights
ผลงานนี้เป็นลิขสิทธิ์ของมหาวิทยาลัยมหิดล ขอสงวนไว้สำหรับเพื่อการศึกษาเท่านั้น ต้องอ้างอิงแหล่งที่มา ห้ามดัดแปลงเนื้อหา และห้ามนำไปใช้เพื่อการค้า
Rights Holder(s)
Mahidol University
Bibliographic Citation
Thesis (M.N.S. (Nursing Science))--Mahidol University, 2022
Suggested Citation
Thiri Su Mon Factors predicting chronic malnutrition among young children in Myanmar. Thesis (M.N.S. (Nursing Science))--Mahidol University, 2022. Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/115375
Title
Factors predicting chronic malnutrition among young children in Myanmar
Author(s)
Advisor(s)
Abstract
Chronic malnutrition (stunting) is one of the major health problems among children under five years old in Myanmar. This secondary data analysis of the Myanmar Demographic and Health Survey (2015–2016) was conducted to examine the predictors of childhood chronic malnutrition in Myanmar. The samples of mothers who had children less than five years of age were selected by setting inclusion and exclusion criteria. To get the required data from the original data sources, a data record form was used. For detailed data analysis, descriptive data analysis, Chi-square test, and binary logistic regression analysis were used. Of a total 1,459 children, 15.8% of children suffered from chronic malnutrition. According to the Chi-square test, birth weight, breastfeeding, maternal education, ANC visits, and wealth index were significantly associated with chronic malnutrition (p<0.05). Furthermore, birth weight (OR = 1.87, p=0.009) and breastfeeding (OR = 2.05, p=0.000) significantly predicted chronic malnutrition. Likewise, the wealth index was another significant predictor of childhood chronic malnutrition with binary logistic regression results: richer (OR = 1.71, p=0.034), middle (OR = 2.21, p=0.005), poorer (OR = 2.45, p=0.004), and poorest (OR = 3.26, p=0.000) families compared to those of the richest families. Based on the findings of the study, it recommends that nurses understand the situation and influence factors of chronic malnutrition in Myanmar. Implication of the thesis: This present study reflects the predicting factors of chronic malnutrition among young children in Myanmar. All health care providers, especially nurses, should emphasize low birth weight infants for prevention of chronic malnutrition and promote breastfeeding for all infants and children in Myanmar. Policy makers should try poverty reduction and establish health care services that are easily accessible for the public, especially for the poor.
Degree Name
Master of Nursing Science
Degree Level
Master's degree
Degree Department
Faculty of Nursing
Degree Discipline
Nursing Science
Degree Grantor(s)
Mahidol University