中国青少年健康及健康行为数据集：一项山东省中学生的大规模纵向调查

doi:10.24920/004051

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The Database of Youth Health (DYH) program is consisted of a multi-wave survey conducted annually in the academic year 2015/2016, 2016/2017, 2017/2018, and 2020/2021 to investigate the status quo of health and health-related behaviors of Chinese junior and senior high school students. It is the first open shared dataset in this field in China. Based on this dataset, the authors analyzed the health and health-related behaviors among adolescents in Shandong Province, aiming to inform future decisions and policies.

Abstract

This data article describes data acquired from the Database of Youth Health (DYH) program. The DYH program consisted of a multi-wave survey conducted annually in the academic year 2015/2016, 2016/2017, 2017/2018, and 2020/2021 to investigate the status quo of health and health-related behaviors of Chinese junior and senior high school students. A total of 99,327 students from 186 secondary schools in 17 cities of Shandong province participated in the survey. The dataset is longitudinal and consists of rich parameters in aspects of individual information, social-economic status, social interaction, nutrition and diet, psychological cognition, mental health, school adaptation, quality of life, spare-time physical activity, risk behaviors, and physical fitness evaluation results based on the National Student Physical Fitness and Health 2014. It is the first open shared dataset about Chinese adolescents’ health and health-related behaviors. It would be valuable and beneficial for policy makers, educational institutions, and other stakeholders to generate or adjust the existing strategies for improving Chinese adolescents’ wellbeing.

Key words: Chinese youth, youth health, physical fitness, mental health, health-related behavior

Funding:

Shengfa Zhang, Wei Luo, Xiaosheng Dong, Wenxin Chen, Xiangren Yi, Wei Zhou, Yue Zhang, Yuanzhi Zhao. A Dataset on the Status Quo of Health and Health-Related Behaviors of Chinese Youth: A Longitudinal Large-Scale Survey in the Secondary School Students of Shandong Province[J].Chinese Medical Sciences Journal, 2022, 37(1): 60-66.

Figures/Tables 3

Specifications Table"

Subject area	youth health and health-related behavior
Type of data	table, raw data
Data format	*.xlsx
Parameters for data collection	The dataset consists of demographic information, social-economic status, social interaction, nutrition and diet, psychological cognition, mental health, school adaptation, quality of life, physical activity, risk behavior, and physical fitness tests results of Chinese youth.
Data source location	17 cities in Shandong province, China
Time period of the dataset	2015/2016, 2016/2017, 2017/2018, and 2020/2021 academic year
Description of data collection	A multi-wave survey was carried out to investigate the status quo of health and health-related behaviors of 99,327 students from 186 secondary school, with cross-sectional research design at each survey wave. We recruited and trained physical education teachers to organize students to answer questionnaires and perform physical fitness tests.
Data source location	Population Health Data Archive (PHDA) in National Population Health Data Center (https://www.ncmi.cn)
Data accessibility	Repository name: Database for Youth Health Direct URL:https://www.ncmi.cn//phda/dataDetails.do?id=CSTR:17970.11.A0031.202107.209.V1.0 License: CC BY 4.0, authorization from data owner needed.
Related research article	1. Yi X, Fu Y, Burns R, et al. Weight status, physical fitness, and quality of life among Chinese adolescents: A cross-sectional study. Int J Environ Res Public Health 2019; 16(3):2271. doi: 10.3390/ijerph16132271. 2. Yi X, Fu Y, Burns RD, et al. Body mass index and physical fitness among Chinese adolescents from Shandong province: a cross-sectional study. BMC Public Health 2019; 19(1):81. doi: 10.1186/s12889-019-6420-2. 3. Yi X, Liu Z, Qiao W, et al. Clustering effects of health risk behavior on mental health and physical activity in Chinese adolescents. Health Quality Life Outcomes 2020; 18(1):211. doi: 10.1186/s12955-020-01468-z. 4. Dong XS, Ding LJ, Zhang R, et al. Physical activity, screen-based sedentary behavior and physical fitness in Chinese adolescents: A cross-sectional study. Front Pediatr 2021; 9: 722079. doi: 10.3389/fped.2021.722079.

Table 1

Variables, items and respondents of each data files in the dataset of Chinese youth health"

Data file name	Typical variables in each data file	items in each table (n)	respondents (n)
Individual’s information	stuID, year, city, grade, gender, date of birth, ethnicity, type of registered residence (Hukou), type of residence address, etc.	39	37,495
Social-economic status	stuID, year, city, grade, single-child household or not, the number of sister/brother, who is living with you, parents’ education level and occupation, family economic status, self-assessment on family relations, access to computer and internet at home, etc.	32	35,437
Social interaction	stuID, year, city, grade, whether live on campus, number of intimate friends, the name, school, grade, type of registered residence of intimate friends, what do you often do when together, what do you often talk when together, etc.	51	23,335
Nutrition and diet	stuID, year, city, grade, 26 questions about the dietary of the last week investigated according to the frequency of different types of food, having breakfast or not, frequency and degree of hunger, time and length of sleep, self-examination of health status, etc.	30	37,435
School adaptation	stuID, year, city, grade, school social behavior measured by the School Social Behavior Scales (SSBS-2)^{[3, 4]}	69	56,523
Quality of life	stuID, year, city, grade, measures on quality of life in the Quality of Life Scale for Children and Adolescents (QLSCA)^[5]	53	51,290
Physical activity	stuID, year, city, grade, frequency of different sports, frequency of vigorous exercise, exercise intensity during breaks and after lunch, frequency of vigorous exercise at different times, self-assessment on exercise frequency and performance, etc.	36	35,834
Risk behavior	stuID, year, city, grade, risk behaviors measured by the questionnaire based on 2017 State and Local Youth Risk Behavior Survey^[7]	27	36,278
Psychological cognition	stuID, year, city, grade, psychological cognition measured by self-designed questionnaire on the aspects of self-cognition, peer relationship and campus bullying cognition	21	14,703
Mental health	stuID, year, city, grade, mental health measured by the Symptom Checklist 90 (SCL-90) scale for senior high school students^[9]	94	29,944
Physical fitness test	stuID, year, city, grade, weight, height, vital capacity, 50-m sprint, standing long jump, sit and reach, one minute rope skipping, 1000-m running for boys and 800-m running for girls, pull-ups for boys, bent-leg sit-ups for girls etc.	21	80,191

Table 1

Table 2

References 14.

1.	Shandong University. Database for Youth Health. National Population Heath Data Center PHDA, 2021. https://doi.org/10.12213/11.A0031.202107.209.V1.0.
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3.	Crowley SL, Merrell KW. The structure of the school social behavior scales: A confirmatory factor analysis. Assess Effect Intervent 2003; 28(2):41-55. doi: 10.1177/073724770302800205. doi: 10.1177/073724770302800205
4.	Alfonso VC, Rentz E, Orlovsky K, et al. Test review: school social behavior scales second edition. J Psychoeducat Assess 2007; 25(1):82-92. doi: 10.1177/0734282906291793 doi: 10.1177/0734282906291793
5.	Wu HR, Liu PL, Meng H. Norm, reliability and validity of children and adolescents’ QOL scale. Chin J School Health 2006; (01):18-21. Chinese. doi: 10.3969/j.issn.1000-9817.2006.01.017. doi: 10.3969/j.issn.1000-9817.2006.01.017
6.	Dong X, Ding M, Chen W, et al. Relationship between smoking, physical activity, screen time, and quality of life among Adolescents. Int J Environ Res Public Health 2020; 17(21):1-15. doi: 10.3390/ijerph17218043. doi: 10.3390/ijerph17218043
7.	Centers for Disease Control Prevention. 2017 State and Local Youth Risk Behavior Survey. available from https://www.cdc.gov/healthyyouth/data/yrbs/pdf/2017/2017_yrbs_standard_hs_questionnaire.pdf. Accessed December 3, 2021.
8.	Yi X, Liu Z, Qiao W, et al. Clustering effects of health risk behavior on mental health and physical activity in Chinese adolescents. Health Quality Life Outcomes 2020; 18(1) : 211. doi: 10.1186/s12955-020-01468-z. doi: 10.1186/s12955-020-01468-z
9.	Derogatis LR, Cleary PA. Confirmation of the dimensional structure of the scl-90: A study in construct validation. J Clin Psychol 1977; 33(4):981-9. doi: 10.1002/1097-4679(197710)33:4<981::AID-JCLP2270330412>3.0.CO;2-0. doi: 10.1002/1097-4679(197710)33:4<981::AID-JCLP2270330412>3.0.CO
10.	Feng ZZ, Zhang DJ. Study on the validity of the Symptom Check-List-90 of Chinese version. J Third Military Med Uni 2001; (4):481-3. doi: CNKI:SUN:DSDX.0.2001-04-055. doi: CNKI:SUN:DSDX.0.2001-04-055
11.	Kowalski KC, Crocker PRE, Donen RM. The physical activity questionnaire for older children (PAQ-C) and adolescents (PAQ-A) manual. Saskatoon, SK, Canada: College of Kinesiology University of Saskatchewan; 2004. Volume 87, pp. 1-38. Available from: https://www.prismsports.org/UserFiles/file/PAQ_manual_ScoringandPDF.pdf. Accessed: December 12, 2021.
12.	Dong X, Ding L, Zhang R, et al. Physical activity, screen-based sedentary behavior and physical fitness in Chinese adolescents: a cross-sectional study. Front Pediatr 2021; 9:722079. doi: 10.3389/FPED.2021.722079. doi: 10.3389/FPED.2021.722079
13.	Yi X, Fu Y, Burns R, et al. Weight status, physical fitness, and health-related quality of life among Chinese adolescents: a cross-sectional study. Int J Environm Res Public Health 2019; 16(13):2271. doi: 10.3390/ijerph16132271. doi: 10.3390/ijerph16132271
14.	Ministry of Education of People’s Republic of China. National Student’s Physical Fitness and Health (revised in 2014). Available from: http://www.moe.gov.cn/s78/A17/twys_left/moe_938/moe_792/s3273/201407/t20140708_171692.html. Accessed November 17 2021.

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Data file name	2015/2016	2016/2017	2017/2018	2020/2021
Individual information	no	no	yes	yes
Social-economic status	no	no	yes	yes
Social interaction	no	no	no	yes
Nutrition and diet	no	no	yes	yes
School adaptation	yes	yes	yes	yes
Quality of life	yes	yes	yes	yes
Physical activity	no	no	yes	yes
Risk behavior	no	no	yes	yes
Psychological cognition	no	no	no	yes
Mental health	yes	yes	yes	yes
Physical fitness	yes	yes	yes	yes