ArticleBMC public health2025
Factors influencing high-risk fertility practices among women of childbearing age in Tanzania: using DHS 2022.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Women's desire to limit childbearing and associated factors in Tanzania: evidence from the 2022 demographic and health survey.Reproductive health · 2026Article
- Determinant of women's autonomy in sexual and reproductive health decision-making in Tanzania: a multilevel analysis of 2022 demographic and health survey.Frontiers in reproductive health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWomen's high-risk fertility behavior, marked by short birth intervals, higher birth order, and early maternal age at childbirth, has been scientifically proven to have detrimental health effects on both the mother and child. Despite the recognized consequences, there is a limited body of research examining the factors that contribute to high-risk fertility behavior in Tanzania. Hence, this study seeks to identify the prevalence of high-risk fertility behavior and associated factors among women of reproductive age within the Tanzanian context.
methodThis study analyzed data from the 2022 Tanzania's Demography and Health Survey, focusing on 11,380 women of childbearing age. To deal with the survey's clustered structure and the binary nature of the outcome variable, a multi-level mixed-effect generalized linear model (Poisson regression with robust error variance) was employed. The Statistical significance of the predictor was assessed using adjusted prevalence ratios (aPR) with 95% confidence intervals.
resultsThe prevalence of high-risk fertility behavior among Tanzanian women was 71.55% (95% CI = 70.71, 72.37). Women's educational levels, Age of women, wealth index, media exposure, decision-making autonomy, contraceptive use, and rural residence were found to be predictors of high-risk fertility behavior.
conclusiona considerable number of women in Tanzanian have encountered High-risk fertility Behaviors. This is a significant concern, posing a notable challenge to the healthcare system. Addressing this issue requires a comprehensive and coordinated approach that involves all stakeholders. Policymakers should consider developing programs that take into account predictors like wealth, education, and residence, which contribute to women's vulnerability to high-risk fertility behavior. Focusing on women residing in areas with a high prevalence of high-risk fertility behavior could be instrumental in tackling the root causes of the problem.
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.