Analysis of health risk behaviors among middle school students in Beijing City from 2018 to 2022

LUO Huijuan; GAO Ruoyi; ZHAO Hai; CHEN Dongni; SUN Bingjie; GUO Xin

doi:10.16835/j.cnki.1000-9817.2024045

Volume 45 Issue 3

Mar. 2024

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Article Navigation > CHINESE JOURNAL OF SCHOOL HEALTH > 2024 > 45(3): 346-352

LUO Huijuan, GAO Ruoyi, ZHAO Hai, CHEN Dongni, SUN Bingjie, GUO Xin. Analysis of health risk behaviors among middle school students in Beijing City from 2018 to 2022[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2024, 45(3): 346-352. doi: 10.16835/j.cnki.1000-9817.2024045

Citation:

LUO Huijuan, GAO Ruoyi, ZHAO Hai, CHEN Dongni, SUN Bingjie, GUO Xin. Analysis of health risk behaviors among middle school students in Beijing City from 2018 to 2022[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2024, 45(3): 346-352. doi: 10.16835/j.cnki.1000-9817.2024045

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Analysis of health risk behaviors among middle school students in Beijing City from 2018 to 2022

doi: 10.16835/j.cnki.1000-9817.2024045

LUO Huijuan^{1, 2},
GAO Ruoyi^{1, 2},
ZHAO Hai²,
CHEN Dongni²,
SUN Bingjie²,
GUO Xin^{1, 2
,
,}

1.
School of Public Health, Capital Medical University, Beijing(100069), China

Received Date: 2023-07-18
Rev Recd Date: 2023-11-06

Available Online: 2024-03-29

Publish Date: 2024-03-25

Abstract

Abstract

Objective To analyze the status of health risk behaviors among middle school students in Beijing City from 2018 to 2022, in order to provide reference for scientific and effective intervention. Methods Using multi-stage stratified cluster random sampling method, data of student health and associated factors monitoring among 84 712 middle school students from 16 districts of Beijing during 2018 to 2022 were compared regarding the differences of health risk behaviors among students in different groups by Chi-quare test. And their change trends were evaluated by annual percentage change (APC). Results In the five surveys during 2018 to 2022, reporting rates of unhealthy diet, unintentional injury, intentional injury, substance abuse and Internet addiction (only in 2018 and 2020) behaviors were higher in boys than in girls (χ²=4.91-297.52, P < 0.05).Reporting rate of physical inactivity behavior in girls was higher than that in boys (χ²=56.49-160.88, P < 0.05). Reporting rates of unhealthy diet, physical inactivity, unintentional injury (except 2021), substance abuse and Internet addiction (only in 2018 and 2019) behaviors were the highest in vocational high school, followed by general high school, and the lowest in junior middle school (χ²=23.30-1 285.98, P < 0.01). Intentional injury behavior was highest in junior high school, followed by vocational high school, and lowest in general high school (χ²=96.18-378.32, P < 0.01).Reporting rate of Internet addiction (2020-2022) behavior was highest in general high school, followed by vocational high school, and lowest in junior high school (χ²=16.93-60.11, P < 0.01). Reporting rates of unhealthy diet, intentional injury (2020 and 2022) and substance abuse (except 2018) behaviors were higher in suburban areas than in urban areas (χ²=6.70-117.56, P < 0.05). Reporting rates of physical inactivity, unintentional injury, intentional injury (2018 and 2019) and Internet addiction behaviors were higher in urban areas than in suburban areas (χ²=3.90-130.80, P < 0.05). Standardized rates of unintentional injury, intentional injury, substance abuse and Internet addiction behaviors showed a statistically significant downward trend from 2018 to 2022 (APC=-14.16, -13.43, -16.03, -8.48, t=-6.94, -4.46, -11.98, -4.36, P < 0.05). Conclusions During 2018-2022, unintentional injury, intentional injury, substance abuse and Internet addiction behaviors of middle school students in Beijing City have improved, and the reporting rates of unhealthy diet and physical inactivity behaviors are high and don't show a downward trend. Efforts should be made to strengthen intervention in unhealthy diet and physical inactivity behaviors among middle school students, in order to reduce the occurrence of health risk behaviors.
- Dangerous behavior,
- Health education,
- Annual percent of change,
- Students

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References(37)

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