Evidence map›Paper›PMID 32384488›Full record

Observational studyMedicine2020

Patterns and determinants of short and long birth intervals among women in selected sub-Saharan African countries.

Anthony Idowu Ajayi, Oluwaseyi Dolapo Somefun

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Anthony Idowu AjayiSociology Department, University of Fort Hare, East London Campus, 50, Church Street, East London.
Oluwaseyi Dolapo SomefunDemography and Population Studies (DPS), University of the Witwatersrand, Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimal birth spacing (defined as a birth spacing of 24-59 months) is incontrovertibly linked to better health outcomes for both mothers and babies. Using the most recent available Demographic and Health Survey data, we examined the patterns and determinants of short and long birth intervals among women in selected sub-Saharan African (SSA) countries.Reproductive health and sociodemographic data of 98,934 women from 8 SSA countries were analyzed. Unadjusted and adjusted multinomial logistic regression models were used to examine the net relationship between all the independent variables and short and long birth intervals.Overall, the majority of women in all the countries optimally spaced births. However, a significant proportion of women had short birth intervals in Chad (30.2%) and the Democratic Republic of Congo (Congo DRC) (27.1%). Long birth spacing was more common in Eastern and Southern African countries, with Zimbabwe having the highest rate of long term birth interval (27.0%). Women who were aged 35 years and above in Uganda (RRR = 0.72, CI = 0.60-0.87), Tanzania (RRR = 0.62, CI = 0.49-0.77), Zimbabwe (RRR = 0.52, CI = 0.31-0.85), Nigeria (RRR = 0.82, CI = 0.72-0.94) and Togo (RRR = 0.67, CI = 0.46-0.96) had significantly lower odds of having short birth intervals compared to women aged 15-24 years. Older women (above 34 years) had increased odds for long birth intervals in all countries studied (Chad (RRR = 1.44, CI = 1.18-1.76), Congo DRC (RRR = 1.73, CI = 1.33-2.15), Malawi (RRR = 1.54, CI = 1.23-1.94) Zimbabwe (RRR = 1.95, CI = 1.26-3.02), Nigeria (RRR = 1.85 CI = 1.56-2.20), Togo (RRR = 2.12, CI = 1.46-3.07), Uganda (RRR = 1.48, CI = 1.15-1.91), Tanzania RRR = 2.12, CI = 1.53-2.93).The analysis suggested that the determinants of long and birth intervals differ and varies from country to country. The pattern of birth spacing found in this study appears to mirror the contraceptive use and fertility rate in the selected SSA countries. Birth intervals intervention addressing short birth intervals should target younger women in SSA, especially in Chad and Congo DRC, while intervention for long birth spacing should prioritize older, educated and wealthy women.

Indexed as

AdolescentAdultAfrica South of the SaharaAge FactorsBirth IntervalsDeveloping CountriesFemaleHumansResidence CharacteristicsRisk FactorsSocioeconomic FactorsYoung Adult

Identifiers

PMID32384488
PMCPMC7440207

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LicenceCC BY-NC
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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.