Evidence map›Paper›PMID 33407284›Full record

ArticleBMC public health2021

Intersection of HIV and Anemia in women of reproductive age: a 10-year analysis of three Zimbabwe demographic health surveys, 2005-2015.

Philimon N Gona, Clara M Gona, Vasco Chikwasha, Clara Haruzivishe, Chabila C Mapoma, Sowmya R Rao

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Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 3 countries.

Philimon N GonaCollege of Nursing & Health Sciences, University of Massachusetts Boston, 100 Morrissey Boulevard, Boston, MA, 02125, USA. phil.gona@umb.edu.ORCID 0000-0002-4202-5965
Clara M GonaDepartment of Nursing, MGH Institute of Health Professions, MA, Boston, USA.
Vasco ChikwashaUniversity of Zimbabwe College of Health Sciences, Harare, Zimbabwe.
Clara HaruzivisheUniversity of Zimbabwe College of Health Sciences, Harare, Zimbabwe.
Chabila C MapomaDepartment of Population Studies, University of Zambia, Lusaka, Zambia.
Sowmya R RaoDepartment of Global Health, Boston University School of Public Health, Boston, MA, USA.
University of Zimbabwe · ZWBoston University · USMGH Institute of Health Professions · USUniversity of Massachusetts Boston · USUniversity of Zambia · ZM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWomen 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.

methodsDHS 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.

resultsPrevalence (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.

conclusionThe 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.

Indexed as

AnemiaAnemia, Iron-DeficiencyHIV InfectionsAdolescentAdultChildCross-Sectional StudiesFemaleHealth SurveysHemoglobinsHumansMiddle AgedPregnancyPrevalenceYoung AdultZimbabweHemoglobinsAnemia in women 15–49 yearsIntersection of Anemia and HIVZimbabwe demographic health surveys

Identifiers

PMID33407284
PMCPMC7787417
OpenAlexW3119082234

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.