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    <identifier>10.57760/sciencedb.o00130.05047</identifier>
    <datestamp>2024-12-09T15:10:14Z</datestamp>
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  <dc:date>2024-12-09</dc:date>
  <dc:title>2018&amp;ndash;2023 Dataset on Comorbidity of Internet Addiction and Depressive Symptoms Among Middle School Students in Zhejiang Province</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.o00130.05047</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Study Design and Data DescriptionThe study participants were drawn from the 2018&amp;ndash;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).</dc:description>
  <dc:subject>depression; Internet addiction; Multimorbidity; Middle students</dc:subject>
  <dc:creator>Gu Fang</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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