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Do Women in Rural South-West Nigeria Become Pregnant with Sub-optimal Haemoglobin Concentrations?

Adewumi Adediran, Tamunomieibi Wakama, Adesola Oyelese, Daniel Ogbaro, Adeola Adetola, Ibironke Awodele, Abidoye Gbadegesin, Chimezie Mbah, Sunday Ocheni

Asian Food Science Journal · pp. 96–106 · Published 2 Jul 2022

10.9734/afsj/2022/v21i930459

Abstract

Background: Anaemia is a major public health concern worldwide, particularly in developing countries like Nigeria. In a previous study on determinants of prenatal anaemia, we found out that the majority of our respondents had dietary iron intake below the recommended value of 27mg∕day and all of them belonged to low socio-economic class. We opined that many of our respondents could have become pregnant with sub-optimal haemoglobin concentrations. Aim: This study was carried out to evaluate the prevalence of anaemia and the socio-economic determinants of anaemia in non-pregnant women of reproductive age in our community. Materials and Methods: The study which was descriptive and cross-sectional, involved two hundred consenting non-pregnant women of reproductive age in Ikenne Local Government Area of Ogun State, Nigeria. Interviewer-administered questionnaires were used to collect socio-demographic information and 24-hr dietary recall data which was used to determine the dietary diversity score (DDS) and daily dietary iron intake (DDI). Using a finger prick, the haemoglobin (Hb) concentration of each respondent was determined with a Haemoglobinometer DG-300HB. Data were analyzed using the Statistical Package for Social Sciences (SPSS) version 23. Results: The mean age of respondents was 32.04±8.99 years while the age range was 18-43years. The mean and range of Hb concentrations were 11.77±1.02 g∕dL and 8-16.67 g∕dL respectively. The prevalence of anaemia obtained from this study was 54% (mean 11.77 SD1.02). The prevalence of anaemia was highest amongst respondents who were farmers. There was a statistically significant association between Hb concentration and body mass index (BMI) p=0.009. Of the 200 respondents, 193 (96.5%) had inadequate dietary iron intake (<18mg/day). There was statistically significant association between Hb groupings and daily dietary iron (DDI) intake. P=0.003. With a mean of 2.96±0.95 food groups and range of 1.0-5.0 food groups, 95 % of respondents had low DDS (< 5 food groups). Hb concentration was also significantly associated with DDS as only 1(20%) of 5 respondents that had adequate DDS had Hb concentration below cut-off value. Conclusion: The prevalence of anaemia in non-pregnant women of reproductive age was high in the community studied making it possible for majority of them to enter pregnancy with sub-optimal Hb concentration. The prevalence was highest amongst respondents who were farmers. The majority of the respondents had inadequate DDS and daily DDI.

Anaemia haemoglobin concentration women of reproductive age dietary diversity score

References (25)

  1. 1 A systematic analysis of global anemia burden from 1990 to 2010 [DOI]
  2. 2 Anaemia in low-income and middle-income countries [DOI]
  3. 3 Women's autonomy in health care decision-making in developing countries: a synthesis of the literature [DOI]
  4. 4 Maternal body mass index and gestational weight gain and their association with perinatal outcomes in Viet Nam [DOI]
  5. 5 Determining factors for the prevalence of anemia in women of reproductive age in Nepal: Evidence from recent national survey data [DOI]
  6. 6 Anemia among Women of Reproductive Age: An Overview of Global Burden, Trends, Determinants, and Drivers of Progress in Low- and Middle-Income Countries [DOI]
  7. 7 Prevalence of Anemia and Associated Risk Factors among Pregnant Women Attending Antenatal Care in Azezo Health Center Gondar Town, Northwest Ethiopia [DOI]
  8. 8 Anemia and its associated factors among women of reproductive age in eastern Africa: A multilevel mixed-effects generalized linear model [DOI]
  9. 9 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 [DOI]
  10. 10 Anemia: a comprehensive global estimate [DOI]
  11. 11 Nutrition of women and adolescent girls: why it matters.
  12. 12 Dietary Iron Intake in Women of Reproductive Age in Europe: A Review of 49 Studies from 29 Countries in the Period 1993–2015 [DOI]
  13. 13 Prevalence and determinants of anaemia in women of reproductive age in Sudan: analysis of a cross-sectional household survey [DOI]
  14. 14 Prevalence & risk factors of anaemia among women of reproductive age in Bursa, Turkey.
  15. 15 Iron Deficiency Anaemia among Women of Reproductive Age in Nine Administrative Regions of Ethiopia
  16. 16 Prevalence of anemia and socio-demographic factors associated with anemia among pregnant women attending antenatal Hospital in Jaipur City, India. [DOI]
  17. 17 Study on the Prevalence of Severe Anemia among Non-Pregnant Women of Reproductive Age in Rural China: A Large Population-Based Cross-Sectional Study [DOI]
  18. 18 Prevalence of anaemia and its epidemiological correlates among women of reproductive age group in an urban slum of Mumbai [DOI]
  19. 19 Anemia in women of reproductive age in Ecuador: Data from a national survey [DOI]
  20. 20 Socio-economic determinants of prenatal anaemia in rural communities of South-West Nigeria: a preliminary report.
  21. 21 A study to assess the prevalence of anemia among women in a selected urban area in Coimbatore district [DOI]
  22. 22 Decreased Anemia Prevalence Among Women and Children in Rural Baja California, Mexico: A 6-Year Comparative Study [DOI]
  23. 23 Anemia in Relation to Body Mass Index and Waist Circumference among Andhra Pradesh Women [DOI]
  24. 24 Dietary Iron Intake in Nigeria [DOI]
  25. 25 Global Health Observatory [DOI]

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