ArticleThe Pan African medical journal2023
The magnitude of sub-optimal child spacing practices and its associated factors among women of childbearing age in Wolaita zone, Sodo Zuria District, Southern Ethiopia: community based cross-sectional study.
Article in The Pan African medical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Effectiveness of SMS-based interventions in enhancing antenatal care in developing countries: a systematic review.BMJ open · 2025Pooled it
- The Magnitude and Determinants of Suboptimal Child Spacing Practices Among Women of Childbearing Age in Ethiopia: A Systematic Review and Meta-Analysis.Women's health reports (New Rochelle, N.Y.) · 2025Article
- Determinants of suboptimal birth spacing among reproductive-age women in Adama district, Ethiopia: a community-based unmatched case-control study.BMC women's health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: sub-optimal birth spacing is higher in sub-Saharan countries including Ethiopia. It can affect the economic, political and social aspects of a given country. Therefore, this study aimed to assess magnitude of sub-optimal child spacing practice and associated factors among childbearing women in Southern Ethiopia. Methods: a community based cross-sectional study was conducted from July to September 2020. A random sampling technique applied to select kebeles, and systematic sampling was employed to recruit study participants. Data were collected by pretested and interviewer administered questionnaire through face-to-face interviews. Data cleaned and checked for completeness, and analyzed by SPSS version 23. A p-value of < 0.05 was considered as cutoff point to declare the strength of statistical association with 95% of CI. Results: magnitude of sub-optimal child spacing practice was 61.7% (CI: 57.7: 66.2). Not attending formal education (AOR= 2.1 (95% CI: 1.3, 3.3), family planning utilization for less than 3 years (AOR= 4.0 (95% CI: 2.4,6.5), being poor (AOR= 2.0 (95% CI: 1.1, 4.0), breastfeeding of less than 24 months (AOR= 3.4 (95% CI: 1.6,6.0); having more than 6 children (AOR= 3.1 (95% CI: 1.4,6.7); and waiting time ≥30 minutes (AOR= 1.8 (95% CI: 1.2,5.9) were predictors of sub-optimal birth spacing practices. Conclusion: sub-optimal child spacing was relatively high among the women of Wolaita Sodo Zuria District. Improving utilization of family planning, expanding all inclusive adult education, delivering community based continuous education on optimum breast-feeding practice, involving women in income generating activities, and facilitated maternal services were recommended to fill the identified gap.
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.