Kenea Adamu, Negash Efrem, Bacha Lemi, Wakgari Negash
Faculty of Public Health and Medical Sciences, Mettu University, Mettu, Ethiopia.
Department of Midwifery, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.
Anemia. 2018 Nov 12;2018:9201383. doi: 10.1155/2018/9201383. eCollection 2018.
Anemia is a global public health problem affecting all population particularly pregnant women. Hence, this study assessed the magnitude of anemia and associated factors among pregnant.
Institution based cross-sectional study was conducted among 416 pregnant women attending antenatal clinic in three public hospitals of Ilu Aba Bora zone. The study participants were selected by proportional allocation based on the number of pregnant women that the respective health facilities contain. Semistructured questionnaire was used for data collection. Midupper arm circumference was employed to assess the nutritional status and standard mood depression assessment tool was used to assess depression. Data were centered and analyzed using SPSS version 20.0. Logistic regression analyses were used to see the association of different variables.
In this study, 31.5% of pregnant women were anemic. In addition, having family size five and above [AOR = 2.97, 95% CI (1.69, 5.27)], being rural resident [AOR=2.74, (95%CI) (2.11, 5.06)], had a higher odds of anemia. Similarly, having soil transmitted helminthes infection [AOR= 3.19, 95% CI (1.5, 6.65)] and history of malaria infection in the last one year [AOR= 3.10, 95% CI (2.10, 5.06)] had also a higher odds anemia during pregnancy. Moreover, being undernourished [AOR= 2.74 95% CI (1.34, 5.57)] was negatively associated with magnitude of anemia.
The magnitude of anemia among pregnant women was found to be significant. Residence, family sizes, history of malaria infection during the last one year, and undernourishment were significantly associated with anemia during pregnancy.
贫血是一个影响所有人群尤其是孕妇的全球性公共卫生问题。因此,本研究评估了孕妇中贫血的严重程度及相关因素。
在伊卢阿巴博拉地区的三家公立医院对416名产前检查门诊孕妇进行了基于机构的横断面研究。根据各医疗机构孕妇数量按比例分配选取研究对象。采用半结构化问卷收集数据。用中上臂围评估营养状况,使用标准的情绪抑郁评估工具评估抑郁情况。数据进行中心化处理并使用SPSS 20.0版本进行分析。采用逻辑回归分析来观察不同变量之间的关联。
本研究中,31.5%的孕妇贫血。此外,家庭人口数为5人及以上[AOR = 2.97,95%可信区间(1.69, 5.27)]、为农村居民[AOR = 2.74,(95%可信区间)(2.11, 5.06)]的孕妇患贫血的几率更高。同样,感染土源性蠕虫病[AOR = 3.19,95%可信区间(1.5, 6.65)]以及过去一年有疟疾感染史[AOR = 3.10,95%可信区间(2.10, 5.06)]的孕妇孕期患贫血的几率也更高。此外,营养不足[AOR = 2.74,95%可信区间(1.34, 5.57)]与贫血严重程度呈负相关。
发现孕妇贫血情况严重。居住地、家庭规模、过去一年疟疾感染史以及营养不足与孕期贫血显著相关。