Background: Early childhood sun exposure contributes to lifetime risk of skin cancer. Many individuals from diverse ethnic backgrounds believe their skin tone confers immunity to sun damage; however, evidence of negative outcomes exists. Best practice in photoprotection for children of color is unclear.
Objective: We sought to address the risks, benefits, and needs for sun protection and education in children of color.
Methods: An English-language systematic literature review was conducted. Inclusion criteria were data on children of color and content relevant to photodamage and photoprotection.
Results: Photoprotection is needed for children of all skin tones with photosensitivity. Individuals with darker skin tones have more innate photoprotection compared with lighter skin tone individuals, but both have incomplete photoprotection. Risk of nevus formation, skin cancer, and dyspigmentation are universal with varying degrees. Hispanic and Black communities are less likely to practice sun protection. Studies demonstrate need for early, culturally appropriate education about sun exposure in all communities.
Limitations: Studies reviewed were of varied design and populations.
Conclusion: This review determined that photoprotection has benefits for all patients, and the benefits of photoprotection should be taught early to children, caregivers, and parents of all skin tones using culturally appropriate approaches.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11893094 | PMC |
http://dx.doi.org/10.1097/JW9.0000000000000199 | DOI Listing |
Int J Womens Dermatol
March 2025
Department of Dermatology, Icahn School of Medicine at Mt Sinai, New York, New York.
Background: Early childhood sun exposure contributes to lifetime risk of skin cancer. Many individuals from diverse ethnic backgrounds believe their skin tone confers immunity to sun damage; however, evidence of negative outcomes exists. Best practice in photoprotection for children of color is unclear.
View Article and Find Full Text PDFInt J Paediatr Dent
March 2025
Department of Paediatric and Preventive Dentistry, Faculty of Dental Sciences, King George's Medical University, Lucknow, India.
Background: The study introduces novel camouflage sleeves for the 'Dental Syringe Camouflage Technique' (DSCT) as a distraction tool to reduce dental anxiety and pain in paediatric patients while evaluating its efficacy.
Aim: To evaluate the efficacy of DSCT using light-/dark-coloured sleeves to reduce needle-associated anxiety and pain in paediatric dental patients.
Design: A single-blinded, randomized clinical trial with 76 children aged 6-9 years, divided into control and experimental groups.
BMC Public Health
March 2025
Department of Nursing, Federal University of Paraíba, Paraíba, Brazil.
Background: The Infant Mortality Rate assesses the deaths occurring in children under one year of age and serves as an important health indicator in mapping the living conditions of a given society. The aim of the present study is to evaluate the epidemiological trends of infant mortality in Brazil from 2000 to 2020, based on the most prevalent chapters of the International Classification of Diseases.
Methods: This is an ecological and retrospective study conducted using secondary data collection.
J Dent
March 2025
Department of Removable Prosthodontics and Gerodontology, Osaka University Graduate School of Dentistry, 1-8 Yamadaoka, Suita, Osaka 565-0871, Japan. Electronic address:
Objectives: This study aimed to examine the relationships of masticatory performance and chewing habits with obesity in Japanese elementary school children.
Methods: The participants were 1,403 children aged 9-10 years in Osaka City. Chewing habits were assessed via questionnaires, and masticatory performance was measured using a color-changeable chewing gum.
Comput Biol Med
March 2025
The AIM for Health Lab, Monash University, Melbourne, Australia; Faculty of Information Technology, Monash University, Melbourne, Australia. Electronic address:
Objective: To resolve the underestimation problem and investigate the mechanism of the AI model which employed to predict cardiovascular disease (CVD) risk scores from retinal fundus photos.
Methods: An ordinal regression Deep Learning (DL) model was proposed to predict 10-year CVD risk scores. The mechanism of the DL model in understanding CVD risk was explored using methods such as transfer learning and saliency maps.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!