Evidence map›Paper›PMID 38878259›Full record

ArticleMaternal and child health journal2024

Assessing the Link between Maternal Transport Modes and Childhood Mortality in Nigeria.

Oluwaseun Addie, Kehinde F Seun-Addie, Samuel Ojima Adejoh, Adetayo Olorunlana

Abstract read
In one paragraph

Article in Maternal and child health journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Oluwaseun AddieDepartment of Geography, University of Ibadan, Ibadan, Nigeria.
Kehinde F Seun-AddieNational Population Commission of Nigeria, Headquarters, Abuja, Nigeria.
Samuel Ojima AdejohDepartment of Social Work, University of Lagos, Lagos, Nigeria. sadejoh@unilag.edu.ng.ORCID http://orcid.org/0000-0002-3588-3187
Adetayo OlorunlanaCaleb University, Imota, Lagos, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe study explored the association between maternal transport modes and childhood mortalities in Nigeria.

methodUtilizing data and definitions from the 2018 Nigeria Demographic and Health Survey report, the ten-year early mortality rates of the five childhood mortalities and the percentage of live births in the 5 years before the survey, transported by eight identified means of transportation, were statistically correlated for each of Nigeria's 36 states and the federal capital territory (FCT) in the R environment at a significance level of α < 0.05.

resultsIn the spatial distribution of the five childhood mortalities, a notable north-south dichotomy was observed, contrasting with the spatial spread of maternal transport modes. The five childhood mortalities exhibited a significant, moderately positive correlation with transportation by Private Car or Truck, while their associations with Public Transport or Bus and Walking were notably moderate but negative. CONCLUSION FOR PRACTICE: While the use of private cars or trucks should be encouraged as a means of maternal transport, public transport should be better organized to provide efficient services to women who need such services for maternal and child healthcare. Additionally, steps should be taken to reduce travel distances to health facilities to manageable distances for mothers.

Indexed as

Child MortalityTransportationAdultChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMothersNigeriaChild mortalityMaternal transportNigeriaSustainable development goals

Identifiers

PMID38878259
PMCPMC11358313

What OpenQuestion 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 OpenQuestion graph.