Diagnostic value of niacin skin blunting response in adolescent patients with depression.

OBJECTIVE: To investigate the differences in the niacin skin flushing response of adolescent depressed patients and healthy adolescents and its diagnostic value in adolescent depression. METHODS: Thirty-eight cases of acute episodes of depression in unmedicated adolescents and 47 age- and sex-matched healthy controls were included as study subjects, and sociodemographic and clinical data were collected, all of which were stimulated with six concentration gradients (up to 60 mmol/L, followed by sequential 3-fold gradient dilution to a minimum of 0.25 mmol/L) of niacin solution on the forearm skin, and the skin flushing area was applied as an assessment index. RESULTS: The total area of redness of the skin in response to niacin was significantly lower in the adolescent depression group than in the healthy adolescent group (Z=-3.36, p = 0.001) and was able to distinguish the adolescent depression group from the healthy adolescent group (area under curve = 0.713, sensitivity 51.1%, specificity 83.2%). CONCLUSIONS: Niacin sensitivity is reduced in adolescent depressed patients, and the niacin skin flush response has potential clinical value as a diagnostic biomarker for adolescent depression.

Analysis of AI image recognition approach for monitoring primary school students outdoor activity time in school / 中国学校卫生

Objective@#To develop a method that can continuously monitor duration of students outdoor activities for a long time, so as to provide data support for the relationship between outdoor activity duration and students health.@*Methods@#From April 28 to July 6, 2022, 1 168 students from a primary school in Shenzhen were selected. Fixed cameras were placed on the top of school classrooms, corridors and critical paths were used to identify student data and duration in the picture. And AI, cloud computing and other methods were used to measure students-non-classroom time instead of outdoor activity time in school.@*Results@#The average length of time spend on outdoor activities in school of the 24 pilot classes were 67.6-113.0 min, and showed a downward trend by grade ( F =42.74, P <0.05). The duration of outdoor activities among students was negatively correlated with the detection rate of myopia and overweight( r =-0.74, -0.45, P <0.05).@*Conclusion@#The data on outdoor activity time calculated by AI image recognition is basically in line with the reality. Monitoring students outdoor activity time at school through AI image recognition is feasible and popularized.