Introduction: the commonest causes of childhood morbidity and deaths are avoidable and curable, and have been well reported in country-wide surveys. This study was conducted to validate the locality-specific childhood morbidity profile among households in urban Port Harcourt Metropolis in the oil-rich South-South Nigeria.
Methods: an observational, cross-sectional survey was conducted involving 806 mother/under-five children pairs that were randomly selected by a modified cluster sampling design. Data were collected using a pre-tested, interviewer-administered structured questionnaire that was adapted from the Nigeria Demographic and Health Survey instrument (2018), which explored information on common causes of morbidity by verbal autopsies. Analysis was done with the Statistical Package for Social Sciences, version 21.
Results: the under-five children were 406 males (50.4%) and 400 females (49.6%) with an average age of 27.7 ± 17.9 months. Fever was the most frequent morbidity, reported in 364 (45.2%, 95% CI = 0.4175-0.4861) of the children, followed by cough in 362 (44.9%, 95%CI = 0.4150-0.4836), fast breathing in 49 (6.1%, 95%CI = 0.0458-0.0789), and diarrhoea in 17 (2.1%, 95%CI = 0.0139-0.0308). Symptoms of fever (chi-square = 31.117, P-value=0.001) and cough (chi-square=21.416, P-value = 0.001), were higher in the 48-59 month age group.
Conclusion: febrile illness, acute respiratory tract infection, and diarrhoea disease were found to be common in under-five children in the metropolitan city of Port Harcourt. Tailored community-based health interventions and surveillance are needed to reduce the frequency of childhood morbidity and prevent mortality in this age group.
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http://dx.doi.org/10.11604/pamj.2022.42.182.32767 | DOI Listing |
BMC Oral Health
January 2025
Department of Clinical Dentistry, Faculty of Medicine, University of Bergen, Bergen, Norway.
Background: In the last years, artificial intelligence (AI) has contributed to improving healthcare including dentistry. The objective of this study was to develop a machine learning (ML) model for early childhood caries (ECC) prediction by identifying crucial health behaviours within mother-child pairs.
Methods: For the analysis, we utilized a representative sample of 724 mothers with children under six years in Bangladesh.
J Pediatr Nurs
January 2025
University of Newcastle, Australia; Centre for Transformative Nursing, Midwifery, and Health Research: A JBI Centre of Excellence, Australia.
Objective: This review aims to investigate parents' preference for and use of Ibuprofen and Paracetamol in managing and treating children's fevers as well as the factors influencing their decision-making and practices.
Introduction: Parents globally face concern over managing children's fever, seeking relief while ensuring safety, often relying on accessible medications like Paracetamol and Ibuprofen.
Inclusion Criteria: The review included quantitative studies involving parents and caregivers managing fever in children aged 0-17 years.
Saudi Med J
January 2025
From the Department of Pediatrics (Imam, Musa), University of Maiduguri Teaching Hospital; from the Department of Pediatrics (Elechi, Rabasa), College of Medical Sciences, University of Maiduguri, Maiduguri; and from the Department of Pediatrics (Bakari), College of Medical Sciences, Modibo Adama University, Yola, Nigeria.
Objectives: To determine the prevalence and pattern of hypoglycemia among children admitted to the Emergency Pediatric Unit (EPU) at the University of Maiduguri Teaching Hospital, Maiduguri, Nigeria.
Methods: A cross-sectional study was conducted between February and September 2020. Blood glucose, along with other relevant laboratory investigations, was measured for each patient upon admission to the EPU using a point-of-care test glucometer (ACCU-CHEK with strips).
Front Nutr
December 2024
Bill & Melinda Gates Foundation, New Delhi, India.
The knowledge, attitude, and practices (KAP) of mothers and frontline health workers (FLWs) regarding optimal Infant and Young Child Feeding (IYCF) are essential for mitigating undernutrition and associated morbidities among under-five children. The study assessed the KAP of mothers (of children aged 0-60 months) and FLWs regarding recommended IYCF practices, the association of mother's KAP with their demographic characteristics and children's nutritional outcomes, and the prevalence of stunting, wasting, and underweight among children aged 0-60 months in five high-focus districts of Assam. Data were collected from 389 mothers, 456 children, and 138 FLWs using a standard method.
View Article and Find Full Text PDFThe recent economic recession has reportedly worsened food insecurity in Sri Lanka. We assessed food insecurity and its impact on the growth of children aged 6-59 months through a community-based, descriptive, cross-sectional study conducted in 2022. Food insecurity was measured using the Household Food Insecurity Access Scale, and anthropometric measurements (weight, length/height) were taken using standard techniques.
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