The Danish National Youth Study 2019: study design and participant characteristics.
AIM
To present the study design, study population and questionnaire content of the Danish National Youth Study 2019, and to describe the differences between participants and non-participants regarding demographic and socioeconomic characteristics.


METHOD
The Danish National Youth Study 2019 is a nationwide web-survey among high school students in Denmark. Data was collected from January to April 2019 through a self-administered questionnaire in the classroom. The questionnaire included 120 questions on, for example, physical and mental health, health behaviour and well-being. Data collection took place at 50 general high schools, 32 preparatory high schools, 15 commercial high school and 19 technical high schools.


RESULTS
A total of 29,086 students participated (20,287 general high school students, 2,113 preparatory higher school students, 4027 commercial high school students and 2659 technical high school students) corresponding to 66% of the students in the 88 participating schools (31% of invited schools). Among students, 55% were female and the mean age was 17.8 years. Participants were more likely to be female, to be younger, to be of Danish origin, and have family disposable income in the highest quartile compared to non-participants.


CONCLUSIONS
The Danish National Youth Study 2019 contributes to knowledge on high school students' health, health behaviour and well-being that can support health planning and prioritizing, through identification of specific risk groups at both local and national level. The study also offers great opportunities for future research as it provides possibility of linkage to various Danish national registers.
['Pisinger|Veronica Sofie Clara|VSC|https://orcid.org/0000-0002-5605-138X', 'Thorsted|Anne|A|', 'Jezek|Andrea Huber|AH|', 'Jørgensen|Andreas|A|', 'Christensen|Anne Illemann|AI|', 'Tolstrup|Janne Schurmann|JS|', 'Thygesen|Lau Caspar|LC|']
youth study design high school students health behaviour data collection Cross-sectional study health survey