Evidence map›Paper›PMID 38678175›Full record

ArticleBMC pregnancy and childbirth2024

Factors associated with anaemia among pregnant women in Rwanda: an analysis of the Rwanda demographic and health survey of 2020.

Lilian Nuwabaine, Joseph Kawuki, Livingstone Kamoga, Quraish Sserwanja, Ghislaine Gatasi, Elorm Donkor, Linet M Mutisya, John Baptist Asiimwe

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 5 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

8 authors at 5 institutions in 4 countries.

Lilian NuwabaineSchool of Nursing and Midwifery, Aga Khan University, Kampala, Uganda. lilliannuwabaine@gmail.com.ORCID http://orcid.org/0000-0003-3255-3876
Joseph KawukiJockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0002-2440-1111
Livingstone KamogaDepartment of Nursing, Makerere University College of Health Sciences, Makerere, Uganda.ORCID http://orcid.org/0000-0002-7822-4245
Quraish SserwanjaProgrammes Department, Relief International, Khartoum, Sudan.ORCID http://orcid.org/0000-0003-0576-4627
Ghislaine GatasiKey Laboratory of Environmental Medicine Engineering, School of Public Health, Southeast University, Nanjing, 210009, Jiangsu Province, China.ORCID http://orcid.org/0000-0001-5785-526X
Elorm DonkorJockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Linet M MutisyaMaternal and Child Health Project, Swedish Organization for Global Health, Mayuge, Uganda.
John Baptist AsiimweSchool of Nursing and Midwifery, Aga Khan University, Kampala, Uganda.ORCID http://orcid.org/0000-0003-0681-9204
Chinese University of Hong Kong · HKAga Khan University · TZMakerere University · UGSoutheast University · CNWorld Health Organization - Uganda · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnaemia in pregnancy is associated with several adverse outcomes for mothers and newborns, as well as their families. In this study, we assessed the prevalence of anaemia and the associated factors among pregnant women in Rwanda.

methodsSecondary data from the 2020 Rwanda Demographic and Health Survey (RDHS) was used. Multistage stratified sampling was used to select 435 pregnant women included in the study. Anaemia among pregnant women was defined as a haemoglobin value < 11 g/dL. Multivariable logistic regression was used to assess the associated factors with anaemia in pregnancy, using SPSS (version 26).

resultsOf the 435 pregnant women, 24.6% (95%CI: 21.1-29.3) were anaemic (1 in 4 pregnant women). Not working (AOR = 2.45; 95%CI: 1.14-5.26), being unmarried (AOR = 1.23; 95%CI: 1.24-3.57), low wealth index (AOR = 9.19; 95%CI: 1.64-51.56), having difficulty accessing a nearby health facility (AOR = 5.40; 95%CI: 2.21-13.23), and normal body mass index (AOR = 3.33; 95%CI: 1.46-7.59) were associated with higher odds of being anaemic. However, not taking iron supplements (AOR = 0.16; 95% CI: 0.04-0.67), having no exposure to television (AOR = 0.35; 95%CI: 0.14-0.91), being from the southern region (AOR = 0.14; 95% CI: 0.03-0.66), and low husband/partner's education (AOR = 0.08; 95% CI: 0.01-0.59) were associated with lower odds of being anaemic.

conclusionsThe study findings indicate a high prevalence of anaemia in pregnancy, which was associated with several socio-demographics. There is a need for setting up mobile clinics and health facilities in hard-to-reach areas for easy accessibility to early anaemia screening services. Conducting mass screening for anaemia targeting pregnant women who are not working, the unmarried, and those with a low wealth index would also be beneficial. The intake of locally available iron rich foods and/ or bio-fortified foods is also recommended.

Indexed as

AnemiaHealth SurveysAdolescentAdultCross-Sectional StudiesFemaleHealth Services AccessibilityHumansLogistic ModelsMiddle AgedPregnancyPregnancy Complications, HematologicPrevalenceRisk FactorsRwandaSocioeconomic FactorsAnaemiaIron deficiencyPregnancyRwandaWomen

Identifiers

PMID38678175
PMCPMC11055334
OpenAlexW4395692644

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.