Stagnant Stunting Rate despite Rapid Economic Growth-An Analysis of Cross Sectional Survey Data of Undernutrition among Children under Five in Papua New Guinea
Stagnant Stunting Rate despite Rapid Economic Growth-An Analysis of Cross Sectional Survey Data of Undernutrition among Children under Five in Papua New Guinea
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DOI：
10.3934/publichealth.2016.1.25
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发表时间：
2016-01-01
影响因子：
3.3
通讯作者：
Hou, Xiaohui
中科院分区：
文献类型：
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作者：
Hou, Xiaohui
背景：产妇和儿童营养不良是巴布亚新几内亚（PNG）的一个普遍和有害的条件。尽管在过去十年中经济迅速增长，但巴布亚新几内亚5岁以下儿童的发育迟缓率仍保持在46%。目的：该研究的目的是分析人口统计学、社会经济学和健康相关因素与巴布亚新几内亚5岁以下儿童营养不良之间的关联。数据和方法：研究使用了2009 - 2010年巴布亚新几内亚家庭收入和支出调查（HIES）。最终样本包括3057名5岁以下儿童。Logistic回归分析用于评估发育迟缓、消瘦和体重不足的几率。在家庭和个人水平上调整独立变量的比值比。使用Stata（版本14）进行统计分析。调查结果：Logistic回归分析显示，家庭财富是发育迟缓的重要预测因素：最富有的五分之一的儿童发育迟缓的可能性比最贫穷的五分之一的儿童低28.9%（0.711 [0.53 - 0.95]）。与发育迟缓有关的其他因素包括地理位置、户主教育和疟疾发病率。当消瘦和体重不足是因变量时，也发现了类似的结果。
Background: Maternal and child under-nutrition is a pervasive and detrimental condition in Papua New Guinea (PNG). Despite the rapid economic growth during the past decade, the stunting rate for children under 5 has remained at 46 percent in PNG. Objective: The objective of the study was to analyze the association between the demographic, socioeconomic, and health-related factors with undernutrition for children less than five years old in PNG. Data and Method: The study used the 2009-2010 PNG Household Income and Expenditure Survey (HIES). The final sample included 3057 children under 5 years old. Logistic regression analyses were used to assess the odds of stunting, wasting and underweight. Odds ratios were adjusted for independent variables at household and individual levels. Statistical analyses were done with Stata (version 14). Findings: Logistic regression analysis showed household wealth was a significant predictor of stunting: children in the richest wealth quintile were 28.9% (0.711 [0.53-0.95]) less likely to be stunted than were children in the poorest wealth quintile. Other factors also associated with stunting include geographic locations, household head education and incidence of malaria. Similar results were found when wasting and underweight were dependent variables.