ArticleScientific reports2025
Assessing regional disparities and sociodemographic influences on short birth intervals (SBI) among reproductive-age women in Nigeria.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Predicting short birth intervals in Bangladesh using stacked machine learning and SHAP explainability: evidence from BDHS 2022.Reproductive health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Short birth interval (SBI), defined as < 33 months between two consecutive live births, remains a pressing public health concern in Nigeria, with potential adverse consequences for both mothers and children. Understanding the factors associated with SBI is crucial for developing effective interventions to improve maternal and child health outcomes. This study investigates the sociodemographic and regional disparities influencing SBI among women of reproductive age in Nigeria, utilizing data from the 2018 Nigeria Demographic and Health Survey (NDHS). This study analysed data from 25,280 women of reproductive age who had given birth within five years preceding the NDHS survey. Bivariate and multivariable logistic regression analyses were conducted to assess the relationship between SBI and associated factors. Prevalence rates were analysed and presented using map and chart to highlight regional disparities. The overall prevalence of SBI in Nigeria was 51.6%. Older age was associated with a higher likelihood of optimal birth interval (AOR = 3.23, 95% confidence interval [CI]: 2.32-4.50, p < 0.001). Women in the South East (55.3%) and North West (52.2%) regions had the highest prevalence of SBI, while the South West had the lowest (38.4%). South East had lower odds of optimal BI (AOR = 0.67, 95% CI: 0.59-0.75, p < 0.001) compared to the North Central region. Higher education (AOR = 0.85, 95% CI: 0.74-0.99, p = 0.03) was associated with reduced odds of SBI, but wealth index did not show significant associations in the adjusted analysis. This study highlights significant regional disparities in short birth interval SBI in Nigeria. Interventions addressing regional and educational disparities, particularly in underserved regions, are essential for promoting optimal birth intervals and improving maternal and child health outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.