The study systematically reviewed all types of unintentional injury and injury prevention research studies occurring within child care centers in the United States. A total of 2 reviewers searched 11 electronic databases to identify 53 articles meeting inclusion criteria. No studies used trauma registries or randomized control trials. Data were not pooled for further analysis because studies lacked standardized definitions for injury, rates, severity, exposure, and demographics. The following child care center injury rates were reported: (0.25-5.31 injuries per 100,000 child-hours); (11.3-18 injuries per 100 children per year); (6-49 injuries per 1000 child-years); (2.5-8.29 injuries per child-year); (2.6-3.3 injuries per child); (3.3-6.3 injuries per 100 observations); (635-835 medically attended injuries per year per 100,000 children and 271-364 child care center playground injuries per year per 100,000 children); and (3.8 injuries per child per 2000 exposure hours). Child care center injury rates were comparable to injury rates published for schools, playground, and summer camp. Most injuries were minor, while most severe injuries (fractures and concussions) were falls from playground structures. Future studies need to use standardized injury definitions and injury severity scales, focus efforts on preventing severe playground injuries in child care centers, and report child care parameters for inclusion in national injury databases.
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http://dx.doi.org/10.1177/1367493513501020 | DOI Listing |
Otolaryngol Head Neck Surg
January 2025
Department of Otolaryngology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Objective: To evaluate factors impacting access to and timing of surgery in patients with submucous cleft palate (SMCP) and velopharyngeal dysfunction (VPD).
Study Design: Retrospective cohort study.
Setting: Single academic medical center.
Public Health Nutr
January 2025
Queensland Brain Institute, The University of Queensland, 79 Upland Road, St Lucia, QLD Australia 4067.
Objective: Early education and care (ECEC) is part of the everyday life of most children in developed economies presenting exceptional opportunity to support nutrition and ongoing food preferences. Yet, the degree to which such opportunity is captured in policy-driven assessment and quality ratings of ECEC services is unknown.
Design: Abductive thematic analysis was conducted, guided by key domains of knowledge in nutrition literature and examining identified themes within these domains.
Public Health Nutr
January 2025
Department of Pediatrics, Division of General Academic Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States.
Objective: To explore mothers' and early childhood (EC) educators' experiences of breastfeeding/breast milk provision and breastfeeding support in child care centers (CCCs) in the United States (U.S.).
View Article and Find Full Text PDFEClinicalMedicine
December 2024
University of North Carolina Project-China, Guangzhou, China.
Background: Adolescents (10-19 years old) have poor outcomes across the prevention-to-treatment HIV care continuum, leading to significant mortality and morbidity. We conducted a systematic review and meta-analysis of interventions that documented HIV outcomes among adolescents in HIV high-burden countries.
Methods: We searched PubMed, EMBASE, Scopus, and the Cochrane Library for studies published between January 2015 and September 2024, assessing at least one HIV outcome along the prevention-to-care cascade, including PrEP uptake, HIV testing, awareness of HIV infections, ARV adherence, retention, and virological suppression.
EClinicalMedicine
December 2024
Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Background: Infant alertness and neurologic changes can reflect life-threatening pathology but are assessed by physical exam, which can be intermittent and subjective. Reliable, continuous methods are needed. We hypothesized that our computer vision method to track movement, pose artificial intelligence (AI), could predict neurologic changes in the neonatal intensive care unit (NICU).
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