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The impact of somatic symptoms on depressive and anxiety symptoms among university students in central Serbia

机译:躯体症状对塞尔维亚中部大学生抑郁和焦虑症状的影响

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Background/Aim. Depression and anxiety problems are a major public health concern due to their high prevalence rates, difficult treatment, and often chronic course. This study examined the impact of somatic symptoms on depressive and anxiety symptoms among university students in Serbia. Methods. A cross-sectional study was performed among 1,940 students using a questionnaire specially designed for this study which included presence of Somatic and Non-specific Mental Symptoms (SNMS), Beck Depression Inventory and Beck Anxiety Inventory. The presence of somatic and associated non-specific mental symptoms over the last six months served as the basis for creating a new variable called SNMS score. Results. Receiver operating characteristic (ROC) curve showed that the SNMS score might be a very good marker for the distinction of students with or without depressive symptoms (area = 0.754, p < 0.05). The threshold value was 8.50 (sensitivity 67.6%, specificity 69.4%). Binary logistic regression showed that Odds ratio was 1.052 [95% confidence interval (CI) 1.045–1.059], which means that an increase in the value of the SNMS score by 1 increases the risk of depressive symptoms by 5.2%. ROC curve showed that the SNMS score might be an excellent marker for the distinction of students with or without anxiety symptoms (area = 0.800, p < 0.05). Limit value (cut-off) was 7.50 (sensitivity 74.2%, specificity 71.6%). Binary logistic regression showed that odds ratio was 1.056 (95% CI 1.049–1.064), which means that increasing the value of SNMS score by 1 increases the risk of anxiety symptoms by 5.6%. Conclusion. The SNMS score might be a state marker for the screening and distinction of students with depressive symptoms, and excellent state marker for screening and making distinction between students with anxiety symptoms and the students who do not have these symptoms.
机译:背景/目标。由于抑郁症和焦虑症的高患病率,难以治疗以及经常为慢性病,因此是主要的公共卫生问题。这项研究检查了躯体症状对塞尔维亚大学生抑郁和焦虑症状的影响。方法。在一项针对1940名学生的横断面研究中,使用了专门为此研究设计的问卷,其中包括躯体和非特定性心理症状(SNMS),贝克抑郁量表和贝克焦虑量表的存在。在过去的六个月中,躯体和相关的非特异性精神症状的存在是创建新变量SNMS评分的基础。结果。接受者操作特征(ROC)曲线显示,SNMS评分可能是区分有或没有抑郁症状的学生的一个很好的标记(面积= 0.754,p <0.05)。阈值为8.50(敏感性为67.6%,特异性为69.4%)。二元逻辑回归显示,赔率比是1.052 [95%置信区间(CI)1.045-1.059],这意味着SNMS评分值增加1会使抑郁症状的风险增加5.2%。 ROC曲线表明,SNMS评分可能是区分是否患有焦虑症状的优秀标记(面积= 0.800,p <0.05)。极限值为7.50(灵敏度为74.2%,特异性为71.6%)。二元逻辑回归分析显示,优势比为1.056(95%CI 1.049–1.064),这意味着将SNMS评分值增加1可使焦虑症状的风险增加5.6%。结论。 SNMS评分可能是筛查和区分抑郁症状学生的状态标记,也是筛查和区分焦虑症状学生和没有症状的学生的出色状态标记。

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