Associations between Maternal Knowledge of Nutrition, Socio Economic, and Child Underweight in Dry Land Islands

A. H. Talahatu, R. Limbu, Jakoba Daud Niga
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Abstract

Background: The problem of food security depends on food availability, food access, and food utilization. Community access is also a factor in food insecurity along with the high poverty rate of an area. The village of Bokong is one of the villages with the majority of poor families. This causes people's purchasing power to food and access to infrastructure to be still lacking. This study aimed to determine the relationship between family socioeconomic factors and nutritional status of children under five. Subjects and Method: This was a cross-sectional study conducted in Kupang, East Nusa Tenggara. A sample of 39 poor households was selected randomly. The dependent variable was nutrition status. The independent variables were education, family size, food cost expenditure, and non food cost expenditure. The data were analyzed using OR and chi-square. Results: Extended family (OR= 9.69; 95% CI= 0.99 to 46.44; p= 0.020) was associated with an increased risk of underweight. Higher education level (OR= 0.14; 95% CI= 0.01 to 0.93; p= 0.016), higher food expenditure (OR= 0.12; 95% CI= 0.12 to 0.75; p= 0.070), higher non-food expenditure (OR= 0.18; 95% CI= 0.02 to 1.15.; p= 0.035) were associated with a reduced risk of underweight. Conclusion: Extended family increases the risk of underweight. Higher education, higher food expenditure, and higher non-food expenditure reduce the risk of underweight.
旱地群岛产妇营养知识、社会经济和儿童体重不足之间的关系
背景:粮食安全问题取决于粮食供应、粮食获取和粮食利用。社区获取也是粮食不安全以及一个地区高贫困率的一个因素。博孔村是贫困家庭最多的村庄之一。这导致人们对食物和基础设施的购买力仍然缺乏。本研究旨在探讨家庭社会经济因素与五岁以下儿童营养状况的关系。对象和方法:本研究是在东努沙登加拉古邦进行的横断面研究。随机抽取39户贫困家庭作为样本。因变量为营养状况。自变量为教育程度、家庭规模、食品成本支出和非食品成本支出。数据采用OR和卡方分析。结果:大家庭(OR= 9.69;95% CI= 0.99 ~ 46.44;P = 0.020)与体重不足的风险增加有关。高等教育水平(OR= 0.14;95% CI= 0.01 ~ 0.93;p= 0.016),更高的食物支出(OR= 0.12;95% CI= 0.12 ~ 0.75;p= 0.070),更高的非食品支出(OR= 0.18;95% CI= 0.02 ~ 1.15。P = 0.035)与体重不足的风险降低有关。结论:大家庭增加了体重不足的风险。高等教育、较高的食品支出和较高的非食品支出可降低体重不足的风险。
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