Literature DB >> 24098045

Socioeconomic determinants of haemoglobin levels of African women are less important in areas with more health facilities: a multilevel analysis.

Manon Haverkate1, Jeroen Smits, Hinta Meijerink, André van der Ven.   

Abstract

BACKGROUND: The prevalence of anaemia in Africa is the highest in the world. Especially women are at risk because of blood loss during menstruation and increased iron requirements during pregnancy. This study examined determinants of the haemoglobin (Hb) level of African women at individual/household, cluster, district, and national level. Special attention was paid to socioeconomic factors and the presence of health facilities.
METHODS: Data were derived from Demographic and Health Surveys conducted between 2003 and 2010 in 21 African countries. We included all women aged 15-49 who participated in a women's survey and had a Hb measurement. Multilevel models were used to examine the influence of various factors at different hierarchical levels simultaneously.
RESULTS: 104 899 women were included in the study, of which 23.1% were anaemic (Hb<110 g/L). Socioeconomic factors were strongly related to the Hb level of women. Wealth, education, having a job, occupation of the partner, presence of a toilet facility, context educational level and preventive health measures were positively associated with the Hb level. Interaction analysis indicated that socioeconomic differences in the Hb level of women were reduced by the presence of health facilities.
CONCLUSIONS: Interventions aimed at improving the Hb level of African women should take socioeconomic and contextual aspects into account. Increasing availability of health facilities might be a tool for reducing socioeconomic differences.

Entities:  

Keywords:  Developing Countr; Epidemiology; Health Services; Multilevel Modelling; Tropical Health

Mesh:

Substances:

Year:  2013        PMID: 24098045     DOI: 10.1136/jech-2012-202336

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  6 in total

1.  Individual and facility-level determinants of iron and folic acid receipt and adequate consumption among pregnant women in rural Bihar, India.

Authors:  Amanda Wendt; Rob Stephenson; Melissa Young; Amy Webb-Girard; Carol Hogue; Usha Ramakrishnan; Reynaldo Martorell
Journal:  PLoS One       Date:  2015-03-20       Impact factor: 3.240

2.  Positive Effect of Large Birth Intervals on Early Childhood Hemoglobin Levels in Africa Is Limited to Girls: Cross-Sectional DHS Study.

Authors:  Robel Afeworki; Jeroen Smits; Jules Tolboom; Andre van der Ven
Journal:  PLoS One       Date:  2015-06-29       Impact factor: 3.240

3.  Prevalence and risk factors for anemia severity and type in Malawian men and women: urban and rural differences.

Authors:  Aishatu L Adamu; Amelia Crampin; Ndoliwe Kayuni; Alemayehu Amberbir; Olivier Koole; Amos Phiri; Moffat Nyirenda; Paul Fine
Journal:  Popul Health Metr       Date:  2017-03-29

4.  Prevalence of Anemia and Its Associated Socio-Demographic Factors Among Pregnant Women Attending an Antenatal Care Clinic at Kisugu Health Center IV, Makindye Division, Kampala, Uganda.

Authors:  Naimo Khalif Mahamoud; Bashir Mwambi; Caesar Oyet; Farouk Segujja; Fred Webbo; John Charles Okiria; Ivan Mugisha Taremwa
Journal:  J Blood Med       Date:  2020-01-20

Review 5.  Micronutrient Status and Dietary Intake of Iron, Vitamin A, Iodine, Folate and Zinc in Women of Reproductive Age and Pregnant Women in Ethiopia, Kenya, Nigeria and South Africa: A Systematic Review of Data from 2005 to 2015.

Authors:  Rajwinder Harika; Mieke Faber; Folake Samuel; Judith Kimiywe; Afework Mulugeta; Ans Eilander
Journal:  Nutrients       Date:  2017-10-05       Impact factor: 5.717

6.  Factors associated with anaemia among women of reproductive age in Ethiopia: Multilevel ordinal logistic regression analysis.

Authors:  Lire Lemma Tirore; Afework Mulugeta; Abate Bekele Belachew; Menaseb Gebrehaweria; Abraham Sahilemichael; Desta Erkalo; Rigeat Atsbha
Journal:  Matern Child Nutr       Date:  2020-08-05       Impact factor: 3.092

  6 in total

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