Determining Prevalence of Anemia and Its Associated Factors in Cameroon: A Multilevel Analysis

Background. Anemia constitutes a major public health concern, which is associated with maternal and perinatal mortality. In low- and middle-income countries, the burden of anemia is profoundly high. Cameroon, as one of the low- and middle-income countries, has a disproportionate anemia burden. Facto...

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Autores principales:	Betregiorgis Zegeye, Bight Opoku Ahinkorah, Edward Kwabena Ameyaw, Abdul-Aziz Seidu, Mpho Keetile, Sanni Yaya
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Medicine R
Acceso en línea:	https://doaj.org/article/48d795e297b04d59a4634176884bebbe
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spelling	oai:doaj.org-article:48d795e297b04d59a4634176884bebbe2021-11-15T01:19:49ZDetermining Prevalence of Anemia and Its Associated Factors in Cameroon: A Multilevel Analysis2314-614110.1155/2021/9912549https://doaj.org/article/48d795e297b04d59a4634176884bebbe2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9912549https://doaj.org/toc/2314-6141Background. Anemia constitutes a major public health concern, which is associated with maternal and perinatal mortality. In low- and middle-income countries, the burden of anemia is profoundly high. Cameroon, as one of the low- and middle-income countries, has a disproportionate anemia burden. Factors associated with anemia prevalence are largely unknown in Cameroon. Hence, we determined the prevalence of anemia and its individual/household and community-level factors among adult women in Cameroon. Methods. We derived data from the 2018 Cameroon Demographic and Health Survey for analysis in this study. Using the Stata version 14 software, univariate multilevel logistic regression analysis was used to select variables that had significant association with anemia at p<0.05. Statistically significant variables were included in a multivariable multilevel logistic regression modelling to examine their associations with anemia. Results were reported using adjusted odds ratios (AOR) with their respective 95% confidence interval (CI). Results. A total of 6,809 women aged 15-49 years were involved in this study with a mean age 30±11.87 years. Approximately two-fifths of women were anemic. Of them, 0.8% were severely anemic, while 17.4% and 21.5% were moderately and mildly anemic, respectively. Current employment status (yes AOR=0.77, 95% CI; 0.61-0.96) and parity (1-2 children AOR=0.61, 95% CI; 0.44-0.86) were the main individual level factors associated with anemia, whereas region (Douala region AOR=2.65, 95% CI; 1.61-4.36, North-West region AOR=0.53, 95% CI; 0.28-0.99) was the community-level factor associated with anaemia. Conclusion. Empowerment of women through employment opportunities as well as focusing special attention in region where high prevalence of anemia could be crucial to decrease the burden of anemia and related maternal and perinatal mortality in the country.Betregiorgis ZegeyeBight Opoku AhinkorahEdward Kwabena AmeyawAbdul-Aziz SeiduMpho KeetileSanni YayaHindawi LimitedarticleMedicineRENBioMed Research International, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R
spellingShingle	Medicine R Betregiorgis Zegeye Bight Opoku Ahinkorah Edward Kwabena Ameyaw Abdul-Aziz Seidu Mpho Keetile Sanni Yaya Determining Prevalence of Anemia and Its Associated Factors in Cameroon: A Multilevel Analysis
description	Background. Anemia constitutes a major public health concern, which is associated with maternal and perinatal mortality. In low- and middle-income countries, the burden of anemia is profoundly high. Cameroon, as one of the low- and middle-income countries, has a disproportionate anemia burden. Factors associated with anemia prevalence are largely unknown in Cameroon. Hence, we determined the prevalence of anemia and its individual/household and community-level factors among adult women in Cameroon. Methods. We derived data from the 2018 Cameroon Demographic and Health Survey for analysis in this study. Using the Stata version 14 software, univariate multilevel logistic regression analysis was used to select variables that had significant association with anemia at p<0.05. Statistically significant variables were included in a multivariable multilevel logistic regression modelling to examine their associations with anemia. Results were reported using adjusted odds ratios (AOR) with their respective 95% confidence interval (CI). Results. A total of 6,809 women aged 15-49 years were involved in this study with a mean age 30±11.87 years. Approximately two-fifths of women were anemic. Of them, 0.8% were severely anemic, while 17.4% and 21.5% were moderately and mildly anemic, respectively. Current employment status (yes AOR=0.77, 95% CI; 0.61-0.96) and parity (1-2 children AOR=0.61, 95% CI; 0.44-0.86) were the main individual level factors associated with anemia, whereas region (Douala region AOR=2.65, 95% CI; 1.61-4.36, North-West region AOR=0.53, 95% CI; 0.28-0.99) was the community-level factor associated with anaemia. Conclusion. Empowerment of women through employment opportunities as well as focusing special attention in region where high prevalence of anemia could be crucial to decrease the burden of anemia and related maternal and perinatal mortality in the country.
format	article
author	Betregiorgis Zegeye Bight Opoku Ahinkorah Edward Kwabena Ameyaw Abdul-Aziz Seidu Mpho Keetile Sanni Yaya
author_facet	Betregiorgis Zegeye Bight Opoku Ahinkorah Edward Kwabena Ameyaw Abdul-Aziz Seidu Mpho Keetile Sanni Yaya
author_sort	Betregiorgis Zegeye
title	Determining Prevalence of Anemia and Its Associated Factors in Cameroon: A Multilevel Analysis
title_short	Determining Prevalence of Anemia and Its Associated Factors in Cameroon: A Multilevel Analysis
title_full	Determining Prevalence of Anemia and Its Associated Factors in Cameroon: A Multilevel Analysis
title_fullStr	Determining Prevalence of Anemia and Its Associated Factors in Cameroon: A Multilevel Analysis
title_full_unstemmed	Determining Prevalence of Anemia and Its Associated Factors in Cameroon: A Multilevel Analysis
title_sort	determining prevalence of anemia and its associated factors in cameroon: a multilevel analysis
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/48d795e297b04d59a4634176884bebbe
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Determining Prevalence of Anemia and Its Associated Factors in Cameroon: A Multilevel Analysis

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