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Two-Level Logistic Regression Analysis of Factors Influencing Anemia Among Nonpregnant Married Women of Reproductive Age in Bangladesh

In: Issues on Health and Healthcare in India

Author

Listed:
  • Md. Golam Hossain

    (University of Rajshahi)

  • Kamruzzaman

    (University of Rajshahi)

  • Abdul Wadood

    (University of Rajshahi)

Abstract

Anemia is a common and difficult health problem in Bangladesh. Study on anemia of Bangladeshi nonpregnant married women is weakly recognized. This study examined how various anthropometric, socioeconomic, and demographic factors associated with anemia of married women in Bangladesh. For this is a cross-sectional study, data was taken from Bangladesh Demographic and Health Survey (BDHS)-2011. The nationally representative sample (5293 married women) was selected by multistage cluster sampling. Multilevel logistic regression analysis was used in this study. The prevalence of anemia among Bangladeshi married women is more than 41% and among anemic women, 35.5, 5.6, and 0.2% were, respectively, mildly, moderately, and severely affected. Multilevel logistic regression model demonstrated that women, who are currently breastfeeding and with amenorrhea, are more likely (p

Suggested Citation

  • Md. Golam Hossain & Kamruzzaman & Abdul Wadood, 2018. "Two-Level Logistic Regression Analysis of Factors Influencing Anemia Among Nonpregnant Married Women of Reproductive Age in Bangladesh," India Studies in Business and Economics, in: Utpal Kumar De & Manoranjan Pal & Premananda Bharati (ed.), Issues on Health and Healthcare in India, chapter 0, pages 11-19, Springer.
    • Handle: RePEc:spr:isbchp:978-981-10-6104-2_2
    DOI: 10.1007/978-981-10-6104-2_2
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