Background: The first trimester of pregnancy is critical for fetal development, making early antenatal care visits essential for timely check-ups and managing potential complications. However, delayed antenatal care initiation remains a public health challenge in sub-Saharan Africa, including Kenya. Therefore, this study aimed to assess and provide up-to-date information on time to first antenatal care visit and its predictors among women in Kenya, using data from the most recent 2022 Kenya Demographic and Health Survey (KDHS).
Methods: This community-based cross-sectional study analyzed data from 19,530 birth histories in the 2022 Kenya Demographic and Health Survey (KDHS). The primary outcome was the timing of the first antenatal care (ANC) visit, classified as timely if it occurred in the first trimester. Shared frailty survival models were used to account for the hierarchical data structure and unobserved heterogeneity, with the Weibull gamma model identified as the best fit based on Information Criteria (AIC), and Bayesian Information Criteria (BIC). Variables with p < 0.2 entered multivariable analysis, and results were reported as Adjusted Hazard Ratios (AHR) with 95% Confidence Intervals (CI) using the Weibull gamma model.
Results: The study found that the median time for the first antenatal care (ANC) visit in Kenya was four months. Significant predictors of ANC timing included women's age (35-49 years: AHR 0.83; 95% CI: 0.72-0.95), education level (higher: AHR 1.45; 95% CI: 1.17-1.78), media exposure (yes: AHR 1.21; 95% CI: 1.05-1.39), parity (four or more children: AHR 0.81; 95% CI: 0.72-0.91), wealth status (richest: AHR 2.00; 95% CI: 1.63-2.43), desire for more children (did not want more: AHR 0.64; 95% CI: 0.54-0.77), residence (rural: AHR 1.22; 95% CI: 1.07-1.39), and religion (Islam: AHR 0.76; 95% CI: 0.64-0.89).
Conclusion: The median time for the first ANC visit exceeds the World Health Organization's recommendation of initiating care within the first trimester. These findings underscore the need for targeted interventions to promote timely ANC, especially among women with limited media exposure, high parity, lower socioeconomic status, and specific religious followers.
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http://dx.doi.org/10.1186/s12884-025-07178-y | DOI Listing |
While maternal mortality decreased during the Millennium Development Goals era, it remains unacceptably high, with stagnation in reductions possible due to shocks such as COVID-19. Most women in low- and middle-income countries already receive antenatal care and over half give birth in health facilities. In cities, use of health facilities for childbirth is near universal (>90%).
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Department of Animal Biology and Conservation Science, College of Basic and Applied Sciences, University of Ghana, Legon, Accra, Ghana.
Introduction: Hepatitis E virus (HEV) infection poses a significant burden on pregnant women, with associated negative outcomes. Although well-described in many developed countries, the epidemiology of the disease and its impact on maternal and fetal health in Ghana is not fully understood.
Materials And Methods: A cross-sectional survey was conducted in the antenatal clinics of 10 district hospitals in five regions of Ghana.
Front Public Health
January 2025
Institute of Agriculture, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Background: Effective use of health services by pregnant and postpartum woman (PPWs) is crucial to maternal and child health. Most maternal deaths are attributed to inadequate maternal health services, especially in rural areas. As a vulnerable group, rural PPWs can effectively prevent and reduce maternal and infant health risk factors through whole-process health management and ensure the health and safety of mothers and infants.
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Department of Pharmacology, Sri Shanmugha College of Pharmacy, Sankari, Salem, 637304, Tamil Nadu, India.
Liver metastases from Gastrointestinal (GI) cancers present significant challenges in oncology, often signaling poor prognosis. Traditional detection methods like imaging and tissue biopsies have limitations in sensitivity, specificity, and tumor heterogeneity represen-tation. The advent of artificial intelligence (AI) in healthcare, driven by advancements in ma-chine learning, algorithms, and data science, offers a promising frontier for early detection and management of liver metastases.
View Article and Find Full Text PDFClin Epigenetics
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Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Background: Night shift work during pregnancy has been associated with differential DNA methylation in placental tissue, but no studies have explored this association in cord blood. We aimed to examine associations of maternal night shift work with cord blood DNA methylation.
Methods: A total of 4487 mother-newborn pairs from 7 studies were included.
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