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

Zegeye, B; Ahinkorah, BO; Ameyaw, EK; Seidu, A-A; Keetile, M; Yaya, S

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

Zegeye, B Ahinkorah, BO Ameyaw, EK Seidu, A-A Keetile, M Yaya, S

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Publisher:: Hindawi Limited
Publication Type:: Journal Article
Citation:: BioMed research international, 2021, 2021, pp. 9912549
Issue Date:: 2021-01

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Field	Value	Language
dc.contributor.author	Zegeye, B
dc.contributor.author	Ahinkorah, BO
dc.contributor.author	Ameyaw, EK
dc.contributor.author	Seidu, A-A
dc.contributor.author	Keetile, M
dc.contributor.author	Yaya, S
dc.date.accessioned	2021-12-31T23:41:43Z
dc.date.available	2021-10-22
dc.date.available	2021-12-31T23:41:43Z
dc.date.issued	2021-01
dc.identifier.citation	BioMed research international, 2021, 2021, pp. 9912549
dc.identifier.issn	2314-6133
dc.identifier.issn	2314-6141
dc.identifier.uri	http://hdl.handle.net/10453/152577
dc.description.abstract	<h4>Background</h4>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.<h4>Methods</h4>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 <i>p</i> < 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).<h4>Results</h4>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.<h4>Conclusion</h4>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.
dc.format	Electronic-eCollection
dc.language	eng
dc.publisher	Hindawi Limited
dc.relation.ispartof	BioMed research international
dc.relation.isbasedon	10.1155/2021/9912549
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	06 Biological Sciences, 08 Information and Computing Sciences, 10 Technology
dc.title	Determining Prevalence of Anemia and Its Associated Factors in Cameroon: A Multilevel Analysis.
dc.type	Journal Article
utslib.citation.volume	2021
utslib.location.activity	United States
utslib.for	06 Biological Sciences
utslib.for	08 Information and Computing Sciences
utslib.for	10 Technology
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Public Health
utslib.copyright.status	open_access	*
dc.date.updated	2021-12-31T23:41:42Z
pubs.publication-status	Published
pubs.volume	2021

Abstract:

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.

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http://hdl.handle.net/10453/152577