Liu Mingxiu, Tang Xiaolei, Xia Qingyun, Wu Xiaoman, Yang Yinmei, Xiang Hong, Hu Jun
School of Nursing, Hubei University of Medicine, Shiyan City, 442000, People's Republic of China.
Department of Burns and Plastic Surgery, Taihe hospital, the affiliated hospital of Hubei University of Medicine, Shiyan City, 442000, People's Republic of China.
BMC Public Health. 2025 Mar 25;25(1):1141. doi: 10.1186/s12889-025-22089-5.
Adolescent health-risk behaviors are prevalent and tend to co-occur. This study aimed to identify patterns of health-risk behaviors among Chinese adolescents during the COVID-19 pandemic and explore the effects of individual and social factors on health-risk patterns.
This cross-sectional study investigated 1607 adolescents from four high schools in 2021 through stratified cluster random sampling. Latent class analysis was conducted to identify patterns of health-risk behaviors and logistic regression was used to examine the risk and protective factors of latent class membership.
Four latent classes were identified: "Low risk" (81.6%), "Problematic Internet use" (7.8%), "Alcohol use" (8.5%), and "High risk" (2.1%). Relative to the "Low risk", adolescents with higher levels of sensation seeking, deviant peer affiliation, and childhood abuse were more likely to be assigned to the "Problematic Internet use" class, while those with high degrees of parental monitoring and school connectedness were less likely to be in the "Problematic Internet use" class. Those with higher levels of sensation seeking and deviant peer affiliation, lower scores of parental monitoring and school connectedness were more likely to be assigned to the "Alcohol use" class, compared to the "Low risk". Students in the "High risk" class were more likely to report higher levels of sensation seeking, deviant peer affiliation, and childhood abuse, but lower degrees of parental monitoring and school connectedness than the "Low risk" class.
This study identified patterns of multiple risk behaviors among Chinese high school students during the COVID-19 pandemic and found that multi-level individual and social factors affected latent classes of adolescent health-risk behaviors. These findings provide clues for designing effective interventions to reduce health-risk behaviors among adolescents.
青少年健康风险行为普遍存在且往往同时出现。本研究旨在确定新冠疫情期间中国青少年健康风险行为的模式，并探讨个体和社会因素对健康风险模式的影响。
本横断面研究于2021年通过分层整群随机抽样对来自四所高中的1607名青少年进行了调查。采用潜在类别分析来确定健康风险行为的模式，并使用逻辑回归来检验潜在类别成员的风险和保护因素。
确定了四个潜在类别：“低风险”（81.6%）、“网络使用问题”（7.8%）、“饮酒”（8.5%）和“高风险”（2.1%）。相对于“低风险”组，寻求刺激、不良同伴关系和童年期受虐待程度较高的青少年更有可能被归入“网络使用问题”类别，而父母监管程度高和学校归属感强的青少年被归入“网络使用问题”类别的可能性较小。与“低风险”组相比，寻求刺激和不良同伴关系程度较高、父母监管和学校归属感得分较低的青少年更有可能被归入“饮酒”类别。“高风险”组的学生比“低风险”组的学生更有可能报告较高的寻求刺激、不良同伴关系和童年期受虐待程度，但父母监管程度和学校归属感较低。
本研究确定了新冠疫情期间中国高中生的多种风险行为模式，并发现多层次的个体和社会因素影响青少年健康风险行为的潜在类别。这些发现为设计有效的干预措施以减少青少年健康风险行为提供了线索。
