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大学生抑郁与肺功能的关系。

Association between depression and lung function in college students.

机构信息

School of Nursing, Peking University, Beijing, China.

School of Public Health, Peking University, Beijing, China.

出版信息

Front Public Health. 2023 Mar 23;11:1093935. doi: 10.3389/fpubh.2023.1093935. eCollection 2023.

DOI:10.3389/fpubh.2023.1093935
PMID:37033041
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10078350/
Abstract

BACKGROUND

Depression is positively associated with lung dysfunction in middle-aged and older adults, but the correlation between depression and lung dysfunction in healthy young adults has not been well researched.

METHODS

This cross-sectional study used a spirometer to evaluate the lung function of 352 college students (mean age: 24.1 years). The spirometry measurements included the peak expiratory flow (PEF), predicted percentage of the peak expiratory flow (PEF pp), forced expiratory volume in 1 s (FEV1), predicted percentage of the FEV1 (FEV1 pp), forced vital capacity (FVC), predicted percentage of the FVC (FVC pp), FEV1/FVC ratio and the predicted percentage of the FEV1/FVC ratio (FEV1/FVC pp). A validated Chinese version of the 20-item Zung Self-rating Depression Scale (SDS) was used to assess the severity of depression among young adults, with scores of 40 and 45 points indicating mild and moderate-to-severe depression, respectively. The Kruskal-Wallis tests were used to analyze the continuous variables, to estimate differences in lung function among the different levels of depression. Chi-square tests or Fisher's exact tests were used to analyze the categorical variables, to estimate differences in characteristics among the different levels of depression. Several multiple logistic regression models were used to examine the associations between participants' level of depression and each of the variables measuring lung function.

RESULTS

Mild and moderate-to-severe depression were observed in 9.9 and 7.4% of the students, respectively. In particular, mild depression was associated with reduced FEV1 in both unadjusted (OR = 1.498,  = 0.003) and adjusted models (OR = 1.290,  = 0.018; OR = 1.199,  = 0.044). On the other hand, moderate-to-severe depression was significantly but negatively related to FEV1 in both unadjusted (OR = 3.546,  = 0.005) and adjusted models (OR = 3.137,  = 0.020; OR = 2.980,  = 0.048). Furthermore, the unadjusted model indicated that mild depression was associated with a higher risk of a lower PEF (OR = 3.546,  = 0.008).

CONCLUSION

Severe depression is an independent predictor of decreased FEV1 among Chinese college students.

摘要

背景

抑郁与中年和老年人的肺功能障碍呈正相关,但在健康的年轻成年人中,抑郁与肺功能障碍之间的相关性尚未得到很好的研究。

方法

本横断面研究使用肺活量计评估了 352 名大学生(平均年龄:24.1 岁)的肺功能。肺活量计测量包括呼气峰流速(PEF)、预测的 PEF 百分比(PEF pp)、1 秒用力呼气量(FEV1)、预测的 FEV1 百分比(FEV1 pp)、用力肺活量(FVC)、预测的 FVC 百分比(FVC pp)、FEV1/FVC 比值和预测的 FEV1/FVC 比值(FEV1/FVC pp)。采用经过验证的中文 20 项 Zung 自评抑郁量表(SDS)评估年轻成年人的抑郁严重程度,得分分别为 40 分和 45 分表示轻度和中重度抑郁。Kruskal-Wallis 检验用于分析连续变量,以估计不同抑郁水平之间的肺功能差异。卡方检验或 Fisher 确切概率法用于分析分类变量,以估计不同抑郁水平之间特征的差异。使用多个多元逻辑回归模型来检验参与者的抑郁程度与衡量肺功能的每个变量之间的关联。

结果

分别有 9.9%和 7.4%的学生出现轻度和中重度抑郁。特别是,轻度抑郁与未调整模型(OR=1.498, =0.003)和调整模型(OR=1.290, =0.018;OR=1.199, =0.044)中的 FEV1 降低有关。另一方面,中重度抑郁与未调整模型(OR=3.546, =0.005)和调整模型(OR=3.137, =0.020;OR=2.980, =0.048)中的 FEV1 显著降低有关。此外,未调整模型表明,轻度抑郁与较低的 PEF 风险增加有关(OR=3.546, =0.008)。

结论

严重抑郁是中国大学生 FEV1 降低的独立预测因子。

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