Association of Living Arrangement Conditions and Socioeconomic Differentials with Anemia Status among Women in Rural Bangladesh. (19th July 2016)

• Record Type: Journal Article
• Authors: Bishwajit, Ghose; Yaya, Sanni; Tang, Shangfeng; Hossain, Akmal; Fan, Yang; Akter, Mahmuda; Feng, Zhanchun
• Other Names: Stijlemans Benoît Academic Editor.
• Is Part Of: BioMed research international. Volume 2016(2016)
• Publication Date: 2016-07-19
• Subjects: Medicine -- Periodicals; Biology -- Periodicals; Biotechnology -- Periodicals; Life sciences -- Periodicals; 610.5
• DOI: 10.1155/2016/4571686
• Languages: English
• ISSNs: 2314-6133

Abstract

Abstract : In Bangladesh, iron deficiency is the most common cause of anemia and remains a significant public health concern. Being a high anemia prevalent country, numerous efforts have been made to confront the issue especially among women and children by both local and international actors. Though the situation has substantially improved in recent years, a staggering number of adult women are currently living with anemia. The etiology of anemia is a multifactorial problem and has been proposed to be associated with various household, societal, economic, cultural factors apart from dietary habits. However, evidence regarding the household arrangements and socioeconomic determinants of anemia is scarce, especially in the context of Bangladesh. To this end, we utilized the 2011 demographic and health survey data to explore the association between anemia status and selected demographic, socioeconomic, and household characteristics. Our result showed significant correlation of anemia with both sociodemographic and household characteristics. Among the sociodemographic variables the following were found to be significantly associated with anemia status: age (p = 0.014 ; OR = 1.195; 95% CI = 1.036–1.378) and microcredit membership (p = 0.014 ; OR = 1.19; 95% CI = 1.037–1.386). Regarding the household arrangements, women utilizing biomass fuel for cooking (p < 0.019 ; OR = 1.82; 95% CI = 0.981–2.460) were more likely to be anemic.