Evidence map›Paper›PMID 40399900›Full record

ArticleBMC pediatrics2025

Assessment of factors affecting infant mortality in Sudan: application of generalized additive model.

Dawit Getnet Ayele, Mohammed Omar Musa Mohammed, Ahmed Saied Rahama Abdallah

Abstract read
In one paragraph

Article in BMC pediatrics, 2025. 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

3 authors.

Dawit Getnet AyeleCenter for Policy, Planning, and Evaluation (CPPE), DC Health, Washington, DC, USA.
Mohammed Omar Musa MohammedCollege of Business Administration in Hawtat Bani Tamim, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia. moh.mohammed@psau.edu.sa.
Ahmed Saied Rahama AbdallahCollege of Business Administration in Hawtat Bani Tamim, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.

Funding

The Deanship of the Research of Prince Sattam Bin Abdulaziz University funded this research. PSAU/2024/R/1445
6 · The paper itself

Abstract

backgroundThe evaluation of the factors influencing infant mortality entails examining the various factors contributing to the high rate of infant deaths in Sudan. These factors encompass access to healthcare services, nutritional status, sanitation, maternal health, vaccination, and socioeconomic circumstances. This study aims to assess the factors affecting infant mortality in the state of Gezira in Sudan.

methodsThe study conducted in Gezira state, Sudan, was a cross-sectional analytical household cluster survey carried out from July 2021 to December 2021. This survey used a questionnaire divided into two parts: the first section collected basic demographic information about each participant to identify the general characteristics of the population. In the second section, detailed demographic, socioeconomic, and geographic information was gathered regarding factors influencing infant mortality in Gezira. The generalized Additive Models was used to identify factors affecting infant mortality.

resultsThe findings indicate a statistically significant correlation between the child's sex (AOR = 1.108, P-value = 0.0227), breastfeeding exclusively (AOR = 0.883, P-value = 0.0294), maternal follow-up (AOR = 0.883, P-value = 0.0294), a child suffering from malaria (AOR = 0.883, P-value = 0.0294), a child experiencing malnourishment (AOR = 1.44, P-value < 0.0001), a child suffering from septicemia (AOR = 0.883, P-value = 0.0294), and infant mortality.

conclusionThese results support WHO recommendations and other studies showing that exclusive breastfeeding is a major preventive factor against infant morbidity and mortality from respiratory and gastrointestinal tract illnesses. This emphasizes how crucial it is to provide early childhood primary healthcare, especially in Sudan where infant death rates are high because of common illnesses including blood poisoning, malaria, and other ailments. Thus, the government needs to adopt measures and policies to minimize this mortality and save lives. Good prenatal care and good nursing practice are also key factors in reducing neonatal death in Sudan.

Indexed as

Infant MortalityAdultBreast FeedingCross-Sectional StudiesFemaleHealth Services AccessibilityHumansInfantInfant, NewbornMaleRisk FactorsSocioeconomic FactorsSudanAssessmentFactorsGeneralized additive modelInfantMortalitySudan

Identifiers

PMID40399900
PMCPMC12093680

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.