Evidence map›Paper›PMID 35966242›Full record

ArticleComputational and mathematical methods in medicine2022

Bayesian Shared Frailty Models for Time to First Birth of Married Women in Ethiopia: Using EDHS 2016.

Kenaw Derebe Fentaw, Setegn Muche Fenta, Hailegebrael Birhan Biresaw, Setegn Bayabil Agegn, Mitiku Wale Muluneh

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

5 authors at 1 institution in 1 country.

Kenaw Derebe FentawDepartment of Statistics, Debre Tabor University, Debre Tabor, Ethiopia.ORCID https://orcid.org/0000-0003-1105-1957
Setegn Muche FentaDepartment of Statistics, Debre Tabor University, Debre Tabor, Ethiopia.ORCID https://orcid.org/0000-0003-4006-3455
Hailegebrael Birhan BiresawDepartment of Statistics, Debre Tabor University, Debre Tabor, Ethiopia.
Setegn Bayabil AgegnDepartment of Statistics, Debre Tabor University, Debre Tabor, Ethiopia.ORCID https://orcid.org/0000-0002-0869-9050
Mitiku Wale MulunehDepartment of Statistics, Debre Tabor University, Debre Tabor, Ethiopia.ORCID https://orcid.org/0000-0002-2413-8026
Debre Tabor University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The primary effect of the fertility process is the birth of the first child. The ages at which women establish marital union and give their first birth depend on and result in varying demographic features. This research demonstrates how to examine the effect of numerous factors on married women's delay to first birth in Ethiopia using Bayesian parametric models with gamma shared frailty distribution. Methods: This study analyzed data from the 2016 EDHS on factors related to the time of married women to first birth. A sample of 8810 married women from all parts of Ethiopia participated in the study. The Akaike information criterion (AIC) and Bayesian information criterion (BIC) were used to compare several parametric models with gamma shared frailty distributions to find the best model (BIC). Finally, when the prior data was taken into account, the chosen model was proven to be accurate (Bayesian approach). Results: The median survival time for the first birth after marriage is 24 years (95% CI; 23.4, 25.3). The result shows that the place of residence, the access to media, the level of education of the mother, the education level of the husband, the use of the head of the contraceptives, and the sex of the household are statistically associated with the time to first birth of married women. The Weibull-gamma shared frailty model under the Bayesian approach was found to be the best model that fit the time to first birth data in this study. The result also showed that there is heterogeneity between regions of married women. Conclusion: To slow the increase in the Ethiopian population, families must be taught how to use contraception, and rural populations must be educated on the necessity of increasing the length of the first birth gap rather than encouraging early marriage. In general, attempts to reduce fertility by raising the age of the first marriage must consider the social and cultural settings in which marriage takes place. On the other hand, the campaign against early marriage should focus on the sociocultural, physiological, and psychological effects, as well as the reduction of reproduction.

Indexed as

FrailtyMarriageParturitionBayes TheoremBirth OrderEthiopiaFemaleHumans

Identifiers

PMID35966242
PMCPMC9371872
OpenAlexW4289994981

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.