Analysis of Determinant Factors of Chronic Energy Deficiency (CED) in Pregnant Women With Modification of Lawrence Green and Snehandu B. Kar’s Theories

Siska Yuni Fitria, Suhartini, Ristya Widi, Endah Yani
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Abstract

Throughout the world, almost every day, 800 mothers die due to complications of pregnancy and childbirth, and more than 5 million babies die every year. One factor that can increase the risk of maternal and infant death is Chronic Energy Deficiency (CED) during pregnancy. This research aimed to analyse the determinants of CED factors in pregnant women with modifications to Lawrence Green's and Snehandu B. Kar's theories. This research used an analytical survey with a cross-sectional approach. In August–September 2023, there were 97 cases and 97 controls. The sampling technique was purposive sampling—bivariate analysis used chi-square and multivariate with a logistic regression test. The statistical analysis showed that education, gravida, parity, pregnancy interval, and husband's support have a significant relationship with CED (p<0.05). Meanwhile, age, knowledge, occupation, Antenatal care (ANC) examination, intention to become pregnant, independence in making health decisions, the role of health workers, family and health cadre support, transportation facilities, and ease of obtaining health information were not significant relationships to CED (p>0.05). Multivariate statistical analysis showed primigravida was the most dominant factor (p<0.05). The factors of education, gravida, parity, pregnancy interval, and husband's support were significant relationships with CED in pregnant women. The most dominant factor causing CED is primigravida. We recommend providing optimal FE tablets and educating adolescents about the importance of adolescent nutrition and integrated services in the school environment.
以劳伦斯-格林和斯内汉杜-B-卡尔的理论为基础,分析孕妇慢性能量缺乏症(CED)的决定因素
在全世界,几乎每天都有 800 名母亲死于妊娠和分娩并发症,每年有 500 多万婴儿死亡。孕期慢性能量缺乏症(CED)是增加母婴死亡风险的因素之一。本研究旨在根据劳伦斯-格林(Lawrence Green)和斯尼汉杜-B-卡尔(Snehandu B. Kar)的理论,分析孕妇 CED 的决定因素。本研究采用横截面分析调查法。2023 年 8 月至 9 月,共有 97 例病例和 97 例对照。抽样技术为目的性抽样--二元分析采用卡方检验,多元分析采用逻辑回归检验。统计分析显示,受教育程度、胎次、奇偶数、妊娠间隔和丈夫的支持与 CED 有显著关系(P0.05)。多变量统计分析显示,初产妇是最主要的因素(P<0.05)。教育程度、胎次、奇偶数、妊娠间隔和丈夫的支持与孕妇的 CED 有显著关系。导致 CED 的最主要因素是初产妇。我们建议在学校环境中提供最佳的食物添加剂,并向青少年宣传青少年营养和综合服务的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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