» Articles » PMID: 33407284

Intersection of HIV and Anemia in Women of Reproductive Age: a 10-year Analysis of Three Zimbabwe Demographic Health Surveys, 2005-2015

Overview
Publisher Biomed Central
Specialty Public Health
Date 2021 Jan 7
PMID 33407284
Citations 5
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Women of reproductive age 15-49 are at a high risk of iron-deficiency anemia, which in turn may contribute to maternal morbidity and mortality. Common causes of anemia include poor nutrition, infections, malaria, HIV, and treatments for HIV. We conducted a secondary analysis to study the prevalence of and associated risk factors for anemia in women to elucidate the intersection of HIV and anemia using data from 3 cycles of Zimbabwe Demographic and Health Survey (ZDHS) conducted in 2005, 2010, and 2015.

Methods: DHS design comprises of a two-stage cluster-sampling to monitor and evaluate indicators for population health. A field hemoglobin test was conducted in eligible women. Anemia was defined as hemoglobin < 11.0 g/dL in pregnant women; < 12.0 in nonpregnant women. Chi-squared test and multivariable logistic regression analysis accounting for complex survey design were used to determine the prevalence and risk factors associated with anemia.

Results: Prevalence (95% confidence interval (CI)) of anemia was 37.8(35.9-39.7), 28.2(26.9-29.5), 27.8(26.5-29.1) in 2005, 2010, and 2015, respectively. Approximately 9.4, 7.2, and 6.1%, of women had moderate anemia; (Hgb 7-9.9) while 1.0, 0.7, and 0.6% of women had severe anemia (Hgb < 7 g/dL)), in 2005, 2010, and 2015, respectively. Risk factors associated with anemia included HIV (HIV+: 2005: OR (95% CI) = 2.40(2.03-2.74), 2010: 2.35(1.99-2.77), and 2015: 2.48(2.18-2.83)]; Residence in 2005 and 2010 [(2005: 1.33(1.08-1.65), 2010: 1.26(1.03-1.53)]; Pregnant or breastfeeding women [2005: 1.31(1.16-1.47), 2010: 1.23(1.09-1.34)]; not taking iron supplementation [2005: 1.17(1.03-1.33), 2010: 1.23(1.09-1.40), and2015: 1.24(1.08-1.42)]. Masvingo, Matebeleland South, and Bulawayo provinces had the highest burden of anemia across the three DHS Cycles. Manicaland and Mashonaland East had the lowest burden.

Conclusion: The prevalence of anemia in Zimbabwe declined between 2005 and 2015 but provinces of Matebeleland South and Bulawayo were hot spots with little or no change HIV positive women had higher prevalence than HIV negative women. The multidimensional causes and drivers of anemia in women require an integrated approach to help ameliorate anemia and its negative health effects on the women's health. Prevention strategies such as promoting iron-rich food and food fortification, providing universal iron supplementation targeting lowveld provinces and women with HIV, pregnant or breastfeeding are required.

Citing Articles

Sex differences in the risk profiles for anemia in people living with HIV, A cross sectional study.

Kamvuma K, Hamooya B, Chiyenu K, Ademola Y, Mudenda S, Machiko A PLoS One. 2025; 20(3):e0319611.

PMID: 40063574 PMC: 11892841. DOI: 10.1371/journal.pone.0319611.


Prevalence and factors associated with anemia among HIV-infected women in sub-saharan Africa: a multilevel analysis of 18 countries.

Tilahun W, Gebreegziabher Z, Geremew H, Simegn M BMC Public Health. 2024; 24(1):2236.

PMID: 39152367 PMC: 11330003. DOI: 10.1186/s12889-024-19758-2.


Understanding perspectives of HIV/AIDS affected households on food and nutrition interventions and social protection programmes in Zimbabwe.

George K, Dembedza M, Lesley M Front Nutr. 2024; 11:1358203.

PMID: 38978700 PMC: 11228297. DOI: 10.3389/fnut.2024.1358203.


Improving anaemia diagnosis using peripheral blood smear with remote interpretation in adults living with HIV with moderate to severe anaemia: A prospective study nested within the Kilombero and Ulanga antiretroviral cohort.

Anton-Vazquez V, Mnzava D, Okuma J, Mlembe S, Lo Riso L, Sanchez J PLoS One. 2023; 18(10):e0293084.

PMID: 37856536 PMC: 10586595. DOI: 10.1371/journal.pone.0293084.


Determinants of anaemia prevalence in women of reproductive age in Nigeria: A cross-sectional study using secondary data from Nigeria Demographic and Health Survey 2018.

Ogbuabor D, Ogbuabor A, Ghasi N Womens Health (Lond). 2022; 18:17455057221142961.

PMID: 36515440 PMC: 9756372. DOI: 10.1177/17455057221142961.


References
1.
Rahman M, Abe S, Rahman M, Kanda M, Narita S, Bilano V . Maternal anemia and risk of adverse birth and health outcomes in low- and middle-income countries: systematic review and meta-analysis. Am J Clin Nutr. 2016; 103(2):495-504. DOI: 10.3945/ajcn.115.107896. View

2.
McGillen J, Anderson S, Dybul M, Hallett T . Optimum resource allocation to reduce HIV incidence across sub-Saharan Africa: a mathematical modelling study. Lancet HIV. 2016; 3(9):e441-e448. DOI: 10.1016/S2352-3018(16)30051-0. View

3.
Alderman H, Linnemayr S . Anemia in low-income countries is unlikely to be addressed by economic development without additional programs. Food Nutr Bull. 2009; 30(3):265-9. DOI: 10.1177/156482650903000308. View

4.
Stoltzfus R, DREYFUSS M, Chwaya H, Albonico M . Hookworm control as a strategy to prevent iron deficiency. Nutr Rev. 1997; 55(6):223-32. DOI: 10.1111/j.1753-4887.1997.tb01609.x. View

5.
. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018; 392(10159):1789-1858. PMC: 6227754. DOI: 10.1016/S0140-6736(18)32279-7. View