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The data presented in this article provide one of the first large-scale insights on adult preferences for confidentiality and consent with regards to medical decision-making for minors. We collected data on these preferences through 12 hypothetical scenario's that were presented, for which each participant had to indicate if they would (not) follow the minor's preferences. Data regarding family communication, relationship quality, and sociodemographic characteristics were also collected. The data were collected through an online survey in September and October 2020, which yielded responses from 1000 Belgian and 1000 Dutch participants between 35 and 55 years of age. We selected this age range because it increased the chances that they had a child near the age of the fictional minor in the hypothetical cases. These data can be of interest for family researchers and/or health workers who want to explore adults’ perceptions regarding confidentiality and consent among minors.

Objective: Digital images might contribute to stigma associated with mental disorders. The aim of this study was to investigate whether these images accurately represent pediatric mental disorders, as well as to explore specific image-related factors that influence perception. Methods: Four hundred pictures were retrieved from three stock photograph websites (‘Shutterstock’, ‘iStock’ and ‘Adobe’) and ‘Google Images’ for mental disorders (ADHD, ASD, and depression) and somatic diseases (asthma, diabetes, and influenza) in childhood. Each picture was scored for gender, age, and emotional load. Data was compared against data from epidemiological studies. Ordinal regression was used to predict emotional load from image-related factors. Results: There was a significant difference in gender representation of ADHD, ASD, depression, diabetes, and influenza. With respect to age, models were significantly younger in pictures of depression but older in pictures of influenza. Pictures of ASD, asthma and diabetes were mostly positive; however, images for ADHD, depression and influenza carried more negative connotations. For mental disorders, a more positive emotional load was associated with images of young and/or male models. iStock gave more positive images. Conclusions: Digital images available in stock databases do not accurately represent pediatric mental and somatic disease. For mental disorders, image-related factors (including age, gender and emotional load) may influence societal perception.