ArticleTherapeutic advances in reproductive health
What factors influence fertility and the desire for more children in Ghana? Evidence from the multi-indicator cluster survey.
Article in Therapeutic advances in reproductive health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: High fertility rates and low infant mortality hurt maternal and child health and increase child dependency ratios, leading to poor economic development, low standards of living and low educational attainment. Despite efforts over the years, Ghana's fertility rates have declined at a rate lower than the global average. Using the multi-indicator cluster survey (MICS) data, we analysed the factors associated with three fertility dimensions: parity, high fertility and the desire for more children in Ghana. Objective: The study aimed to investigate the factors associated with parity, high fertility and the desire for another child in Ghana. Design: The MICS are cross-sectional, nationally representative surveys that employ a multi-stage, stratified cluster sampling approach to select sample units. Methods: The data for this study were obtained from the 2017 to 2018 Multiple Indicator Cluster Survey (MICS) conducted in Ghana. Three outcome variables - parity, high fertility and the desire for another child - were defined. The explanatory variables consisted of respondents' sociodemographic and economic variables. The sample consisted of 11,228 women. We employed descriptive statistics, logistic regression and the generalised Poisson regression for the data analysis. Results: Factors that are negatively associated with parity and high fertility include higher educational level, frequency of watching television, being insured and computer use. Residing in an urban location, being older, being in a higher wealth quintile (compared to the poorest) and the frequency of listening to the radio are all positively related to parity and being in a high-fertility zone. Women who have attained a higher level than middle/JHS, the older ones and those who are insured tend to desire another child. Conclusion: The study found that educational level, media (television) exposure, insurance uptake and computer use are associated with a lower likelihood of having fewer children, while being in a union, residing in an urban location, being older, having higher wealth and exposure to radio are associated with parity and being in a high-fertility zone. Our study contributes to a deeper understanding of the drivers of fertility and the desire for more children in the context of low- and middle-income countries.
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.