Evidence map›Paper›PMID 38429646›Full record

ArticleBMC nutrition2024

Prevalence and determinants of minimum dietary diversity for women of reproductive age in Uganda.

Derrick Kimuli, Florence Nakaggwa, Norah Namuwenge, Rebecca N Nsubuga, Kenneth Kasule, Sheila Nyakwezi, Jimmy Odong, Paul Isabirye, Solome Sevume, Norbert Mubiru and 5 more

Abstract read
In one paragraph

Article in BMC nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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

15 authors.

Derrick Kimuli *Social & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support Activity, Kampala, Uganda. derrick.kimuli@dlhcorp.com.
Florence Nakaggwa *Social & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support Activity, Kampala, Uganda.
Norah NamuwengeSocial & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support Activity, Kampala, Uganda.
Rebecca N NsubugaSocial & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support Activity, Kampala, Uganda.
Kenneth KasuleSocial & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support Activity, Kampala, Uganda.
Sheila NyakweziThe United States Agency for International Development Uganda, US Mission Compound - South Wing, Kampala, Uganda.
Jimmy OdongSocial & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support Activity, Kampala, Uganda.
Paul IsabiryeSocial & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support Activity, Kampala, Uganda.
Solome SevumeThe United States Agency for International Development Uganda, US Mission Compound - South Wing, Kampala, Uganda.
Norbert MubiruThe United States Agency for International Development Uganda, US Mission Compound - South Wing, Kampala, Uganda.
Daniel MwehireThe United States Agency for International Development Uganda, US Mission Compound - South Wing, Kampala, Uganda.
Fatuma MatovuSocial & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support Activity, Kampala, Uganda.
Bonnie WanderaSocial & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support Activity, Kampala, Uganda.
Barbara AmuronSocial & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support Activity, Kampala, Uganda.
Daraus BukenyaSocial & Scientific Systems, Inc., DLH Holdings company / United States Agency for International Development Strategic Information Technical Support Activity, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, over a billion women of reproductive age (WRA) suffer from some kind of undernutrition micronutrient deficiencies, and/or anemia as a result of inadequate dietary diversity. This leads to poor maternal and child health outcomes, however, there is limited research on population level research on minimum dietary diversity for women (MDD-W). This study assessed the prevalence and predictors of MDD-W among WRA in Uganda.

methodsThis study was a secondary analysis of data from the lot quality assurance sampling (LQAS) survey conducted across 55 Ugandan districts between May and September 2022. Women of various ages were interviewed across 5 study subgroups that this study used to construct its study population (WRA). Descriptive analyses, tests for outcome differences, and multilevel mixed-effects logistic regression were conducted at a 5% statistical significance level using STATA version 17. The results were reported using Adjusted Odds Ratios (aOR) as the measure of the outcome.

resultsThe study analyzed responses from 29,802 WRA with a mean age of 27.8 (± 6.8) years. Only 8.8% (95% CI 8.5-9.3) achieved the MDD-W, the least proportion was observed in the South-Central region (3.13%). In the adjusted analysis, WRA who were older than 25 years (aOR 1.1, 95% CI 1.1-1.3, p < 0.001), had secondary education (aOR = 1.4, 95% CI 1.1-1.7, p = 0.003) or above (aOR = 1.7, 95% CI 1.3-2.2, p < 0.001), and used modern contraceptives (aOR = 1.1, 95% CI 1.0-1.3, p = 0.01) were more likely to achieve the MDD-W. Conversely, WRA who travelled longer distances to the nearest household water source (aOR = 0.8, 95% CI 0.7-0.9, p = 0.002) and those residing in larger households (aOR = 0.9, 95% CI 0.8-1.0, p = 0.019) were less likely to achieve the MDD-W.

conclusionA low proportion of WRA met the MDD-W. Age, education level, household sizes and use of modern contraception were predictors of MDD-W among WRA in Uganda. MDD-W-related program efforts in Uganda should strengthen multisectoral collaboration with prioritization of younger women, education, household sizes and access to safe water sources.

Indexed as

Dietary diversityEducationGeographic locationWomen

Identifiers

PMID38429646
PMCPMC10908097

What OpenQuestion holds

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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.