A longitudinal study on the correlation between circadian rhythm and depression in college students

doi:10.13406/j.cnki.cyxb.002902

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A longitudinal study on the correlation between circadian rhythm and depression in college students

更新时间：2024-01-09

- A longitudinal study on the correlation between circadian rhythm and depression in college students
- Journal of Chongqing Medical University Vol. 46, Issue 10, Pages: 1163-1169(2021)
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- DOI：10.13406/j.cnki.cyxb.002902
  CLC： R749.4
- Published：2021，
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A longitudinal study on the correlation between circadian rhythm and depression in college students. [J]. Journal of Chongqing Medical University 46(10):1163-1169(2021)
DOI：

A longitudinal study on the correlation between circadian rhythm and depression in college students. [J]. Journal of Chongqing Medical University 46(10):1163-1169(2021) DOI： 10.13406/j.cnki.cyxb.002902.

摘要

目的：探索大学生昼夜节律类型稳定性及其与大学生抑郁情绪及纵向变化的相关性。方法：分别于2018至2020年秋季学期的9~11月，通过网络发放调查问卷，评定本科新生的昼夜节律类型、抑郁情绪、睡眠质量情况、躯体症状及生活事件压力，并对其进行连续2年的随访及重复测评。构建logistic回归模型分析基线测评中抑郁情绪的独立相关因素及不同昼夜节律的影响；构建混合效应模型分析大学生昼夜节律类型的稳定性、抑郁情绪的纵向变化规律及抑郁情绪变化的影响因素。结果：基线测评中大学生抑郁情绪检出率为24.2%，夜晚型昼夜节律类型的大学生最多，占52.1%（4 301/8 244）；中间型次之，为45.0%（3 708/8 244）；清晨型最少，仅2.9%（235/8 244）；二元logistic回归分析提示，夜晚型昼夜节律类型者（OR=1.526）、睡眠质量更差者（OR=1.540）、躯体症状更严重者（OR=1.115）、生活事件压力更大者（OR=1.046）更易有抑郁情绪。混合效应模型对随访数据的分析结果提示，虽然清晨型-夜晚型问卷得分以平均每年1.948分的趋势下降，昼夜节律类型仍是一种较为稳定的个体特征；而抑郁情绪的标准得分以平均每年0.104分的趋势上涨，第二水平模型固定效应部分的分析结果提示，基线水平的夜晚型昼夜节律（β01=0.028）、睡眠质量（β02=0.052）、躯体症状（β03=0.017）、生活事件压力（β04=0.007）对抑郁情绪标准得分的增加有正向预测作用；且睡眠质量更差者（β12=-0.012）、生活事件压力更大者（β14=-0.002）抑郁情绪标准得分增加速率更快。结论：尽管昼夜节律类型是较为稳定的个体特质，但在大学生中仍会随着时间发生变化，且夜晚型昼夜节律是抑郁情绪产生及增加的重要预测因子之一，提示大学生的昼夜节律类型是大学生心理健康教育及危机干预中值得关注的一大因素。

Abstract

Objective: To explore the stability of circadian rhythm and its correlation with depression and the longitudinal effects in college students. Methods: From September to November

2018 to 2020

an online questionnaire was issued to assess the circadian rhythm

depression

sleep quality

physical symptoms and life event stress of the freshmen

and they were followed and repeatedly evaluated for two years. Logistic regression model was established to analyze the independent correlation factors of depression in baseline assessment. Mixed effect model was established to analyze the stability of circadian rhythm

longitudinal change of depression and the influencing factors of depression. Results: The detection rate of depression was 24.2%

52.1% (4 301/8 244) of college students were eveningness

45.0% (3 708/8 244) were intermedia circadian rhythm

and 2.9% (235/8 244) were morningness. Binary Logistic regression analysis suggested that eveningness (OR=1.526)

worse sleep quality (OR=1.540)

more serious physical symptoms (OR=1.115)

and more stressful life events (OR=1.046) were more likely to have depression mood. The results of mixed effect model suggest that circadian rhythm was still a stable individual characteristic

although the score of morningness-eveningness questionnaire decreases by 1.948 points per year on average. While the standard score for depression increased by an average of 0.104 points per year

analysis of the fixed effects of the model suggested that baseline eveningness (β01=0.028)

sleep quality (β02=0.052)

physical symptoms (β03=0.017)

and life event stress (β04=0.007) positively predicted the increase of standard depression scores. Moreover

students with poorer sleep quality (β12=-0.012) and more stressful life events (β14=-0.002) had a faster increase rate of standard depression score. Conclusion: Although the circadian rhythm is a stable individual characteristic

it will change over time in the college students

and eveningness is one of the important predictors of depression

prompting that circadian rhythm is a crisis intervention for college students’mental health.

关键词

大学生昼夜节律类型抑郁睡眠

Keywords

college studentscircadian rhythmdepressionsleep

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