Differentials in the prevalence of anemia among non-pregnant, ever-married women in Bangladesh: multilevel logistic regression analysis of data from the 2011 Bangladesh Demographic and Health Survey.
Differentials in the prevalence of anemia among non-pregnant, ever-married women in Bangladesh: multilevel logistic regression analysis of data from the 2011 Bangladesh Demographic and Health Survey.
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DOI：
10.1186/s12905-015-0211-4
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发表时间：
2015-07-29
期刊：
影响因子：
--
通讯作者：
Hossain MG
中科院分区：
文献类型：
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作者：
Kamruzzaman M;Rabbani MG;Saw A;Sayem MA;Hossain MG
贫血是全球最常见的公共卫生问题之一，据报告，育龄妇女中的发病率很高，特别是在发展中国家。这项研究的目的是评估孟加拉国未怀孕、已婚育龄妇女贫血患病率的差异，并研究与人口、社会经济和营养因素的关系。这项横断面研究的数据来自2011年孟加拉国人口和健康调查（BDHS）。在三分之一家庭的子样本中，所有已婚育龄妇女（15至49岁）都被选为调查的生物标志物组成部分，包括贫血。我们研究的样本量为5，293。数据采用多水平logistic回归分析。未怀孕的已婚妇女贫血患病率为41.3%（城市：37.2%，农村：43.5%）。在贫血妇女中，35.5%为轻度贫血，5.6%为中度贫血，0.2%为重度贫血。未受过教育的妇女比受过中等教育（p < 0.01）或高等教育（p < 0.01）的妇女更容易贫血。营养不良的女性（BMI < 18.5）与正常女性、超重女性和肥胖女性相比，患贫血的风险更大（p < 0.01）。贫血在使用避孕措施的非怀孕妇女（p < 0.05）、穆斯林妇女（p < 0.01）和生活在富裕家庭的妇女（p < 0.01）中不太明显。在孟加拉国，未怀孕、已婚妇女的贫血患病率很高。文盲、贫穷和营养不良是造成这种情况的因素。
Anemia is one of the most common public health problems globally, and high prevalence has been reported among women of reproductive age, especially in developing countries. This study was conducted to evaluate differentials in the prevalence of anemia among non-pregnant, ever-married women of reproductive age in Bangladesh, and to examine associations with demographic, socioeconomic, and nutritional factors. Data for this cross-sectional study were taken from the 2011 Bangladesh Demographic and Health Survey (BDHS). In a sub-sample of one-third of the households, all ever-married women of reproductive age (15 to 49 years) were selected for the biomarker component of the survey, including anemia. The sample size for our study was 5,293. Data were analyzed using multilevel logistic regression analysis. The prevalence of anemia among non-pregnant, ever-married women was 41.3 % (urban: 37.2 % and rural: 43.5 %). Among anemic women, 35.5 % had mild anemia, 5.6 % had moderate anemia, and 0.2 % had severe anemia. Women with no education were more likely to be anemic than those with secondary education (p < 0.01) or higher education (p < 0.01). Undernourished women (BMI < 18.5) were at greater risk of anemia (p < 0.01) compared with normal women, overweight women, and obese women. Anemia was less pronounced among non-pregnant women using contraception (p < 0.05), Muslim women (p < 0.01), and women living in rich households (p < 0.01). The prevalence of anemia among non-pregnant, ever-married women in Bangladesh is high. Illiteracy, poverty, and undernutrition are contributing factors.