Objectives: To assess the prevalence of wheeze and factors associated with its severity among 3-6 years old children.
Methodology: DESIGN: A population-based, cross-sectional study using the WHO 30 cluster methodology with probability proportionate to size sampling.
Setting: 36 preschools registered at the divisional secretariat offices of Anuradhapura district, Sri Lanka.
Participants: We recruited 1060 preschool children from 36 preschools aged 3-6 years.
Main Outcome Measurements: We used the International Study of Asthma and Allergy in Childhood questionnaire to assess the prevalence, symptomatology and associated factors of wheeze.
Results: The study sample consisted of 548 (51.70%) male and 512 (48.30%) female children with a mean age of 4.41 (±0.66) years. At least one wheezing episode ever was reported in 323 (30.47%; 95% CI 27.71% to 33.34%) children and 247 (23.30%; 95% CI 20.79% to 25.97%) children had a wheezing attack in the preceding year. Severe episodes of wheezing were reported in 76 (7.17%; 95% CI 5.69% to 8.89%) participants. However, only 27 (35.53%; 95% CI 24.88% to 47.34%) children with severe wheezing had been diagnosed as asthmatics by a clinician. The identified independent risk factors for severe wheeze were allergic rhinitis (OR 6.90; 95% CI 3.84 to 12.40), domestic dog(s) (OR 2.34; 95% CI 1.01 to 5.40), frequent consumption of skipjack tuna (OR 1.94; 95% CI 1.11 to 3.39) and passive smoking (OR 1.70; 95% CI 0.93 to 3.11) while living in a house with a cement floor is a protective factor (OR 0.41; 95% CI 0.21 to 0.80).
Conclusion: Wheezing commonly affects one-fourth of preschool children in rural Sri Lanka. Severe wheezing is often not diagnosed as asthma despite frequent symptoms, probably due to hesitancy in labelling preschool children as asthmatics. Allergic rhinitis, domestic dogs, frequent consumption of Skipjack tuna fish and exposure to passive smoking were independent risk factors for severe wheeze.
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http://dx.doi.org/10.1136/bmjopen-2020-046688 | DOI Listing |
Cell Mol Biol (Noisy-le-grand)
January 2025
Department Medical Laboratory Technology, College of Medical Technology, University of Al-Farahidi, Baghdad, Iraq.
BMC Health Serv Res
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Save the Children International, Qalai Fatullah, PD 10, Kabul, Afghanistan.
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BMC Pediatr
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Department of Orthopedics, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, No.56, Nanlishi Road, Beijing, 100045, China.
Background: Neurofibromatosis type 1 (NF1) is an autosomal dominant genetic disorder affecting multiple systems. However, arterial stenosis is a rare manifestation in patients with NF1. Since the symptoms of arterial stenosis caused by NF1 are often atypical and have a high under-diagnosis rate, this can lead to serious complications such as hypertension, ischemic stroke, or even death.
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January 2025
Department of Research, School of Graduate studies, Research and Innovations, Clarke International University, Kampala, P.O. Box 7782, Uganda.
Background: Anaemia is a major cause of morbidity among children under five years in Uganda. However, its magnitude among refugee populations is marginally documented. In this study, the prevalence and contributors to anaemia among children 6 to 59 months in Kyangwali refugee settlement in Western Uganda was determined.
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January 2025
Department of Psychology, University of South Dakota, 414 E. Clark St, Vermillion, SD, USA.
Background: Competing definitions of posttraumatic stress disorder (PTSD) have been proposed by ICD-11 and DSM-5; it is unclear which diagnostic model works best for children and adolescents. Although other studies have predicted the impact of these models by approximating the criteria using older measures, this study advances the research by comparing measures designed to assess ICD-11 and DSM-5 criteria in hurricane-exposed youth. This study evaluates ICD-11 and DSM-5 (both the standard and preschool-age) diagnostic models by identifying diagnostic rates, evaluating diagnostic concordance, investigating the predictive value of constructs associated with PTSD (demographics, disaster threat and exposure, functional impairment), and examining model fit.
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