怀孕三个月孕妇贫血的风险因素

Swastika Swastika
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引用次数: 0

摘要

贫血是指孕妇的红细胞百分比和血红蛋白(Hb)水平低于正常水平。根据 2022 年波诺罗戈地区健康概况数据,10 878 名孕妇中有 1 746 名(16.50%)贫血。本研究旨在概述风险变量和旨在降低孕妇贫血比例的措施。研究方法本研究采用分析观察研究法,根据定量数据进行回顾性研究。所有 62 名怀孕三个月患有贫血的孕妇构成了病例人群的研究样本。本研究使用了两个独立(自由)因素:准妈妈、教育程度、营养状况、孕产妇年龄和胎龄。因变量是怀孕三个月孕妇的贫血患病率。研究人员使用的工具是观察表。数据分析采用回归逻辑分析法来检验假设的真实性。结果研究结果显示,产妇年龄(p 值 0.009)和孕龄(p 值 0.027)是影响北波诺罗戈保健中心贫血症发病率的风险因素,这表明孕龄会影响贫血症的发病率。孕产妇年龄对贫血的发生有明显的风险影响。数据显示,营养状况(P 值 = 0.727)、胎次(P 值 = 0.043)、教育程度(P 值 = 0.043)对贫血发生率(0.884 倍)没有影响,而胎次对贫血发生率(8.483 倍)有影响。讨论本研究结果得出的结论是,影响孕妇贫血的风险因素是孕龄、孕产妇年龄和胎次,而营养状况和教育程度是对孕妇贫血没有影响的风险因素。建议希望能为保健中心提供建议或参考,以便进行早期检测或进一步改善全面检查,从而在研究人员已检查过的几个参数中降低怀孕三个月贫血的发生率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk Factors For Anemia In Pregnant Women In The Third Trimester
Anemia is a condition in which the percentage of erythrocytes and hemoglobin (Hb) levels of pregnant women fall below normal. Ponorogo Regency Health Profile Data in 2022, there were 1,746 anemic pregnant women out of 10,878 (16.50%). This study aims to provide an overview of risk variables and initiatives aiming to decrease the proportion of anemia cases among pregnant women. Method: Analytical observational research was used to conduct the study, which was conducted retrospectively from quantitative data. All 62 pregnant women with anemia in the third trimester formed the study sample for the case population. Two independent (free) factors were used in this study: parity, education, nutritional status, maternal age, and gestational age. The prevalence of anemia in third trimester pregnant women is the dependent variable. The instrument used by researchers is an observation sheet. Data analysis to test the truth of the hypothesis uses Regression Logistic Analysis. Result: The findings of the study revealed that maternal age (p-value 0.009) and gestational age (p-value 0.027) were risk factors that had an impact on the incidence of anemia at the North Ponorogo Health Center, indicating that gestational age affects the incidence of anemia. Maternal age has a significant risk impact on the occurrence of anemia. The data showed that the incidence of anemia with a risk of 0.884 times was not affected by nutritional status (p-value = 0.727), parity (p-value = 0.043), education (p-value = 0.043), while the incidence of anemia with a risk of 8.483 times was influenced by parity. Discussion: The findings of this study lead to the conclusion that influencing risk factors were gestational age, maternal age and parity, while nutritional status and education were risk factors that had no effect on anemia in pregnant women. Suggestion: It is expected to provide advice or reference to health centers in order to conduct early detection or further improve comprehensive examinations in order to reduce the prevalence of anemia in the third trimester of pregnancy among several parameters that have been examined by researchers.
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