2018–2023 Dataset on Comorbidity of Internet Addiction and Depressive Symptoms Among Middle School Students in Zhejiang Province

Study Design and Data DescriptionThe study participants were drawn from the 2018–2023 Monitoring Program for Common Diseases and Health Influencing Factors Among Students in Zhejiang Province, covering middle and high school students in both urban and rural areas. A multistage stratified cluster random sampling method was used. In each survey site, 5 schools were randomly selected in urban areas (2 middle schools, 2 general high schools, and 1 vocational high school), and 3 schools were randomly selected in rural areas (2 middle schools and 1 high school). Each school was stratified by grade, and at least 2 classes per grade were randomly selected. All students in the selected classes were included as participants, ensuring a minimum of 80 students per grade. In 2018, the survey covered 3 cities (Hangzhou, Jiaxing, and Quzhou) and 6 counties/districts. From 2019 to 2020, the survey expanded to all 11 cities and 30 counties/districts in the province. In 2021, the survey covered 11 cities and 20 counties/districts, and from 2022 to 2023, it included all counties/districts in the province, totaling 11 cities and 90 counties/districts.The study variables and their corresponding variable names are as follows: urban/rural classification (POINT, 1 for urban, 2 for rural), gender (GENDER, 1 for male, 2 for female), boarding status (ZHUXIAO, 1 for non-boarding, 2 for boarding), year (YEAR), educational level (XUEDUAN1, 1 for middle school, 2 for high school), presence of depression (yiyu1, 0 for no, 1 for yes), internet addiction (wllevel, 0 for no, 1 for yes), BMI classification (BMILEVEL, 0 for normal, 1 for underweight, 2 for overweight, 3 for obese), frequency of sugary drink consumption (YINLIAO, 1 for no intake, 2 for low frequency, 3 for high frequency), intensity of physical activity (YUNDONG1, 1 for low, 2 for moderate, 3 for high), sufficient sleep (SHUI, 1 for no, 2 for yes), and presence of comorbidities (gongbing, 0 for no, 1 for yes).