Objective: The purpose of this study is to understand the current situation of anxiety and depression among adolescents in Jinan, and to explore the relationship between their life behavior patterns and the two, so as to provide a scientific basis for formulating effective prevention and control strategies and measures to reduce the incidence of anxiety and depression among adolescents. Methods: The study adopted a stratified cluster sampling method to conduct a questionnaire survey among middle school students in Jinan from September to November 2023. Cluster analysis method was used to reveal the common characteristics of adolescents with anxiety, depression and both, and binary logistic regression was used to analyze the relationship between different demographic characteristics, different life behavior patterns and anxiety and depression. Results: A total of 13 171 middle school students were surveyed in this study, of which 25.78%, 15.88% and 13.09% were having anxious, depressed and experiencing both emotions, respectively. After controlling for other variables, female, students with <8 hours of sleep per day and internet addiction were more likely to experience anxiety, while ≤2 hours of video screen time per day was a protective factor for anxiety (OR=0.568, 95%CI: 0.512-0.632). In the depression group, the risk of depression among female students, urban students, students with <3 days of exercise per week, students with <8 hours of sleep per day, and students with internet addiction was 1.349, 1.140, 1.157, 2.962, and 4.977 times higher than that of the control group, respectively. Video screen time ≤2 hours per day was also a protective factor for depression (OR=0.528, 95%CI: 0.468-0.595). Furthermore, the risk of anxiety, depression and comorbidity of anxiety and depression among students in the high video screen time pattern was 2.368, 2.722 and 2.830 times higher than that in the high exercise frequency pattern, respectively. Conclusions: Female students, students with <8 hours of sleep per day and internet addiction were the common risk factors of anxiety and depression. Urban students and students with <3 days of exercise per week increased the risk of depression. High video screen time increased the risks of anxiety, depression, and their comorbidity, while video screen time ≤2 hours per day exerted a protective effect. It is recommended that prevention and control interventions among adolescents focus on reducing video screen time, increasing physical activity, and ensuring adequate sleep. 目的： 了解济南市青少年焦虑和抑郁现状，并探究其生活行为模式与二者的关联，为制定有效防控策略和措施以降低青少年焦虑和抑郁的发生率提供科学依据。 方法： 采用分层整群抽样的方法，于2023年9-11月对济南市在校中学生开展问卷调查。运用聚类分析方法，剖析焦虑、抑郁及共患青少年的共同特征，并采用二元logistic回归分析不同人口学特征、不同生活行为模式与焦虑和抑郁的关系。 结果： 共调查中学生13 171名，其中焦虑、抑郁和同时存在两种情绪的学生分别占25.78%、15.88%和13.09%。在控制其他变量后，女生、睡眠时间<8 h/d和网络成瘾的学生更容易产生焦虑情绪，而视屏时间≤2 h/d是焦虑情绪产生的保护因素（OR=0.568，95%CI：0.512~0.632）。在抑郁情绪中，女生、城市地区、运动频率<3 d/周、睡眠时间<8 h/d和网络成瘾的学生发生抑郁的风险分别是对照组的1.349、1.140、1.157、2.962和4.977倍；视屏时间≤2 h/d同样是抑郁情绪产生的保护因素（OR=0.528，95%CI：0.468~0.595）。高视屏时间模式的学生产生焦虑、抑郁和焦虑抑郁共患的风险分别是高运动频率模式的2.368、2.722和2.830倍。 结论： 女生、睡眠时间<8 h/d及网络成瘾是焦虑和抑郁的共同危险因素，城市地区、运动频率<3 d/周增加抑郁风险。高视屏时间显著增加焦虑、抑郁及共患风险，而视屏时间≤2 h/d具有保护作用。建议以“减屏、增动、保睡眠”为核心在青少年中开展防控工作。.
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