ArticleJMIR mHealth and uHealth2017
Photoaging Mobile Apps as a Novel Opportunity for Melanoma Prevention: Pilot Study.
Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Systematic Review of Interventions to Increase Awareness of Ultraviolet Radiation-Induced Harm and Protective Behaviors in Post-Secondary School Adults.Journal of cutaneous medicine and surgeryPooled it
- Effect of a Face-Aging Mobile App-Based Intervention on Skin Cancer Protection Behavior in Secondary Schools in Brazil: A Cluster-Randomized Clinical Trial.JAMA dermatology · 2020Trial
- A Smoking Prevention Program Delivered by Medical Students to Secondary Schools in Brazil Called "Education Against Tobacco": Randomized Controlled Trial.Journal of medical Internet research · 2019Trial
- Trial
- Trial
- Positive Impact of UV Photography on Individual Sun Protection: A Swiss Feasibility Study.International journal of public health · 2024Article
- Article
- RETRACTED ARTICLE: DenseNet-II: an improved deep convolutional neural network for melanoma cancer detection.Soft computing · 2023Article
- A governmental program to encourage medical students to deliver primary prevention: experiment and evaluation in a French faculty of medicine.BMC medical education · 2021Article
- Developing an Online Tool to Promote Safe Sun Behaviors With Young Teenagers as Co-researchers.Frontiers in digital health · 2021Article
- Factors Impacting Clinicians' Adoption of a Clinical Photo Documentation App and its Implications for Clinical Workflows and Quality of Care: Qualitative Case Study.JMIR mHealth and uHealth · 2020Article
- Patient Attitudes and Their Awareness Towards Skin Cancer-Related Apps: Cross-Sectional Survey.JMIR mHealth and uHealth · 2019Article
- Enhanced classifier training to improve precision of a convolutional neural network to identify images of skin lesions.PloS one · 2019Article
- Facial-Aging App Availability in Waiting Rooms as a Potential Opportunity for Skin Cancer Prevention.JAMA dermatology · 2018Article
- A Face-Aging App for Smoking Cessation in a Waiting Room Setting: Pilot Study in an HIV Outpatient Clinic.Journal of medical Internet research · 2018Article
- Facial-Aging Mobile Apps for Smoking Prevention in Secondary Schools in Brazil: Appearance-Focused Interventional Study.JMIR public health and surveillance · 2018Article
- A Skin Cancer Prevention Facial-Aging Mobile App for Secondary Schools in Brazil: Appearance-Focused Interventional Study.JMIR mHealth and uHealth · 2018Article
- Identifying Asbestos-Containing Materials in Homes: Design and Development of the ACM Check Mobile Phone App.JMIR formative research · 2017Article
- A Dermatologist's Ammunition in the War Against Smoking: A Photoaging App.Journal of medical Internet research · 2017Article
- Photoaging Mobile Apps in School-Based Melanoma Prevention: Pilot Study.Journal of medical Internet research · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAround 90% of melanomas are caused by ultraviolet (UV) exposure and are therefore eminently preventable. Unhealthy tanning behavior is mostly initiated in early adolescence, often with the belief that it increases attractiveness; the problems related to skin atrophy and malignant melanoma are too far in the future to fathom. Photoaging desktop programs, in which an image is altered to predict future appearance, have been successful in positively influencing behavior in adiposity or tobacco prevention settings.
objectiveTo develop and test a photoaging app designed for melanoma prevention.
methodsWe harnessed the widespread availability of mobile phones and adolescents' interest in appearance to develop a free mobile app called Sunface. This app has the user take a self-portrait (ie, a selfie), and then photoages the image based on Fitzpatrick skin type and individual UV protection behavior. Afterward, the app explains the visual results and aims at increasing self-competence on skin cancer prevention by providing guideline recommendations on sun protection and the ABCDE rule for melanoma self-detection. The underlying aging algorithms are based on publications showing UV-induced skin damage by outdoor as well as indoor tanning. To get a first impression on how well the app would be received in a young target group, we included a total sample of 25 students in our cross-sectional pilot study with a median age of 22 (range 19-25) years of both sexes (11/25, 44% female; 14/25, 56% male) attending the University of Essen in Germany.
resultsThe majority of enrolled students stated that they would download the app (22/25, 88%), that the intervention had the potential to motivate them to use sun protection (23/25, 92%) and that they thought such an app could change their perceptions that tanning makes you attractive (19/25, 76%). Only a minority of students disagreed or fully disagreed that they would download such an app (2/25, 8%) or that such an app could change their perceptions on tanning and attractiveness (4/25, 16%).
conclusionsBased on previous studies and the initial study results presented here, it is reasonable to speculate that the app may induce behavioral change in the target population. Further work is required to implement and examine the effectiveness of app-based photoaging interventions within risk groups from various cultural backgrounds.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.