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首页> 外文期刊>International Journal of Statistics and Applications >Poverty Levels and Maternal Nutritional Status as Determinants of Weight at Birth: An Ordinal Logistic Regression Approach
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Poverty Levels and Maternal Nutritional Status as Determinants of Weight at Birth: An Ordinal Logistic Regression Approach

机译：贫困水平和孕产妇营养状况是决定出生体重的因素：一种有序逻辑回归方法

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摘要

This paper explores the possible influence of household poverty levels and maternal nutritional status on child’s weight at birth. The 2003 Nigeria Demographic Health Survey (NDHS) measures weight at birth on an ordinal scale. Therefore, modelling techniques that take cognizance of ordinal responses are suitable for this situation. Ordinal logistic regression technique was employed for all analyses. Quintiles of wealth index were used as a measure of assets owned by households while body mass index was used to assess maternal nutritional status. Other demographic characteristics such as mother’s age at birth of the child, educational attainment, locality (urban/rural) and geo-political zones were controlled for in the models. The sample size for survey was 5138. Wealth index and maternal nutritional status were positively associated with child’s weight at birth, while mother’s educational attainment was not statistically significant. Significant and positive association of wealth index was evident with middle and richest when compared with those in the poorest category of wealth index. Mothers that were underweight are less likely to give birth to heavier children while those that were overweight or obese are more likely to give birth to children with heavier weights compared with mothers with normal BMI.
机译：本文探讨了家庭贫困水平和孕产妇营养状况对孩子出生时体重的可能影响。 2003年尼日利亚人口健康调查（NDHS）按序数来衡量出生时的体重。因此，考虑顺序响应的建模技术适用于这种情况。所有分析均采用顺序逻辑回归技术。财富指数的五分位数用于衡量家庭拥有的资产，而体重指数用于评估孕产妇的营养状况。在模型中控制了其他人口统计特征，例如母亲的出生年龄，受教育程度，地理位置（城市/农村）和地缘政治区域。调查的样本量为5138。财富指数和孕产妇营养状况与孩子出生时的体重呈正相关，而母亲的受教育程度则无统计学意义。与最贫穷类别的财富指数相比，财富指数与中，最富裕者之间存在明显的正相关关系。与BMI正常的母亲相比，体重过轻的母亲不太可能生育较重的孩子，而体重超重或肥胖的母亲较可能生育较重的孩子。

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