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Demographic characteristics of the study women.

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Figshare2025-08-28 更新2026-04-28 收录
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ObjectivesAccurate measures of the burden of preterm live births are a challenge, particularly in low-and-middle income countries, due to factors including poor data quality and unreliable methods using last menstrual period (LMP) in determining gestational age of pregnancies. This study employed gestational age from first trimester ultrasound to determine incidence of preterm livebirths at Ho Teaching Hospital in Ghana, their risk factors and adverse outcomes.MethodsThis was a prospective study involving 666 pregnant women and their 680 live newborns from 1st October, 2019–31st March, 2020. Data was collected on socio-demographic characteristics such as age and for other variables including gestational age at delivery and birthweight. The primary outcome was overall preterm livebirth incidence. Logistic regression analysis was used to determine its predictors. Odds ratios were reported with 95% confidence intervals. Statistical significance was pegged at p-value ResultsThe mean age of the women was 29.0 years. About 93% (616/666) had formal education. Overall preterm livebirth incidence was 9.1% (62/680). Formal employment [AOR 6.84 (95% CI 1.63–28.73), p = 0.009], informal employment [AOR 4.98 (95% CI 1.39–17.85), p = 0.014] and hypertensive disorders in pregnancy (HDP) [AOR 6.43(95% CI 2.78–14.89); p ConclusionOverall preterm livebirth incidence in the study compared favourably with global estimates. HDP and being employed were important risk factors and. suggest reducing workloads of pregnant women in formal employment may be beneficial. Targeted posting of specialists to aid adequate management of HDP at district hospitals and mitigating missed opportunities for IPTp need to be considered.
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2025-08-28
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