Evidence map›Paper›PMID 39739879›Full record

ArticlePloS one2024

Socioeconomic inequalities in high-risk fertility behaviors over time in Ethiopia.

Melash Belachew Asresie, Michael Ekholuenetale, Kedir Y Ahmed, Sabuj Kanti Mistry, Navira Chandio, Kingsley Agho, Gedefaw Abeje Fekadu, Amit Arora

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

8 authors.

Melash Belachew AsresieDepartment of Reproductive Health and Population Studies, School of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.ORCID 0000-0002-4173-0646
Michael EkholuenetaleFacility of Science and Health, School of Health and Care Professions, University of Portsmouth, Portsmouth, United Kingdom.
Kedir Y AhmedRural Health Research Institute, Charles Sturt University, Orange, NSW, Australia.ORCID 0000-0003-3797-5234
Sabuj Kanti MistrySchool of Population Health, University of New South Wales, Sydney, Australia.
Navira ChandioSchool of Health Sciences, Western Sydney University, Campbelltown Campus, Penrith, NSW, Australia.
Kingsley AghoSchool of Health Sciences, Western Sydney University, Campbelltown Campus, Penrith, NSW, Australia.
Gedefaw Abeje FekaduDepartment of Reproductive Health and Population Studies, School of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Amit AroraSchool of Health Sciences, Western Sydney University, Campbelltown Campus, Penrith, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHigh-risk fertility behaviors (HRFB), including short birth intervals, early or late childbearing age, and high parity, are associated with adverse pregnancy outcomes. Understanding the importance of socioeconomic disparity in HRFB and the factors influencing this disparity is essential to improve maternal and child survival, Accordingly, this study investigated socioeconomic inequalities in HRFB over time and its contributing factors.

methodsWe included a total weighted sample of 11,163 and 5,527 women aged 15 to 49 years from the 2005 and 2019 Ethiopia Demographic and Health Surveys, respectively. Erreygers Concentration index (ECI) and curve, along with Erreygers normalized decomposition analysis, were used to examine socioeconomic-related inequalities in HFRB and identify contributing factors to these inequalities.

resultsThe study showed that the concentration curve for HFRB remained above the equality line over time, indicating a disproportionate concentration among socioeconomically disadvantaged individuals. In 2005, the pro-poor ECI was -0.0682; in 2019, it was -0.2634, indicating that pro-poor inequality has widened. Educational status (10% in 2005 and 28% in 2019), place of birth (7% in 2005 and 28% in 2019), religion (16% in 2005 and 4% in 2019), and region (9% in 2005 and 3% in 2019) contributed to the observed pro-poor inequality. In 2019, contraceptive use (12%) and wealth index (15%) emerged as additional factors explaining HRFB inequality.

conclusionOur findings revealed the disproportional concentration of HRFB among socioeconomically disadvantaged women in Ethiopia, with a widening disparity between 2005 and 2019. Future interventions to address the effect of socioeconomic disadvantage on HRFB should prioritize women with low or no formal education, those who give birth at home, and those who do not use contraceptives.

Indexed as

Socioeconomic FactorsAdolescentAdultBirth IntervalsEducational StatusEthiopiaFemaleFertilityHumansMiddle AgedPregnancyReproductive BehaviorRisk-TakingYoung Adult

Identifiers

PMID39739879
PMCPMC11687911

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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.