PDF
Full
Outline
To explore the relationship between substance use, problematic internet use, and their co-occurring behaviors with unintentional injuries among college students.
A cross-sectional study design was employed, with a questionnaire survey conducted among 1 700 enrolled students from two ordinary higher education institutions in Beijing. The CRAFFT scale was used to assess substance use, while the Internet Addiction Test (IAT) evaluated problematic internet use. Information on unintentional injuries and related influencing factors was also collected. Multivariate binary logistic regression was utilized to analyze the association between substance use, problematic internet use, co-occurring behaviors, and unintentional injuries, as well as to explore the influencing factors of unintentional injuries in the co-occurring behavior population.
A total of 1 626 valid questionnaires were collected. The prevalence of substance use was 35.85% (583 cases), the prevalence of problematic internet use was 52.34% (851 cases), and the co-occurrence prevalence was 20.05% (326 cases). The prevalence of unintentional injuries was 16.91% (275 cases). After adjusting for confounding factors, the multivariate logistic regression analysis indicated that compared to the control group, the odds ratio for unintentional injuries in the co-occurring behavior group was 1.57 (95%CI: 1.054-2.340), while neither substance use (aOR=1.117, 95%CI: 0.717-1.741) nor problematic internet use (aOR=1.098, 95%CI: 0.758-1.589) showed significant correlation with unintentional injuries. Among the co-occurring behavior population, suicidal ideation was identified as an independent risk factor for unintentional injuries (aOR=2.118, 95%CI: 1.184-3.787).
The simultaneous presence of substance uses and problematic internet use significantly increases the risk of unintentional injuries among college students. It is crucial to focus on high-risk populations exhibiting co-occurring behaviors, especially those with suicidal ideation, and to implement targeted preventive interventions.
PDF
79
36
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62199257
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
