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重庆市男性大学生昼夜节律紊乱与抑郁症状的关联研究

侯贵钟 刘坤 张爱华 陈卿 曹佳

侯贵钟, 刘坤, 张爱华, 陈卿, 曹佳. 重庆市男性大学生昼夜节律紊乱与抑郁症状的关联研究[J]. 中华疾病控制杂志, 2020, 24(4): 404-408. doi: 10.16462/j.cnki.zhjbkz.2020.04.007
引用本文: 侯贵钟, 刘坤, 张爱华, 陈卿, 曹佳. 重庆市男性大学生昼夜节律紊乱与抑郁症状的关联研究[J]. 中华疾病控制杂志, 2020, 24(4): 404-408. doi: 10.16462/j.cnki.zhjbkz.2020.04.007
HOU Gui-zhong, LIU Kun, ZHANG Ai-hua, CHEN Qing, CAO Jia. Correlation between circadian disruption and depressive symptom in male undergraduates in Chongqing[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2020, 24(4): 404-408. doi: 10.16462/j.cnki.zhjbkz.2020.04.007
Citation: HOU Gui-zhong, LIU Kun, ZHANG Ai-hua, CHEN Qing, CAO Jia. Correlation between circadian disruption and depressive symptom in male undergraduates in Chongqing[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2020, 24(4): 404-408. doi: 10.16462/j.cnki.zhjbkz.2020.04.007

重庆市男性大学生昼夜节律紊乱与抑郁症状的关联研究

doi: 10.16462/j.cnki.zhjbkz.2020.04.007
基金项目: 国家重点研发计划课题(2017YFC1002001);国家自然科学基金(81871208)
详细信息
    通讯作者:

    曹佳, E-mail:caojia1962@126.com

    陈卿, E-mail:chenqingforward@gmail.com

  • 中图分类号: R749.4

Correlation between circadian disruption and depressive symptom in male undergraduates in Chongqing

Funds: National Key R & D Program of China(2017YFC1002001); National Natural Science Foundation of China(81871208)
More Information
  • 摘要:   目的   分析重庆市青年男性人群中昼夜节律紊乱是否与抑郁症状存在关联。   方法   采用中文版慕尼黑睡眠时型问卷(Munich chronotype questionnaire, MCTQ)测量社会性时差(用来反映昼夜节律紊乱的指标), 同时测量了平均睡眠时长和反映生物钟特性的睡眠时型指标。采用抑郁自评量表(self-rating depression scale, SDS)的标准分测量抑郁症状。   结果   研究对象的社会性时差为0.9(0.5, 1.3)h, 其与睡眠时型指标之间呈现较强的相关性(r=0.73, P < 0.001)。社会性时差与SDS标准分呈正相关, 校正睡眠时型、睡眠时长、年龄、体重指数、体育运动、吸烟、饮酒、饮茶等因素后, 社会性时差每增加0.5h, SDS标准分相应增加2.1%(95% CI:0.5%~3.5%, P=0.011)。   结论   社会性时差与SDS标准分呈正相关, 提示昼夜节律紊乱可能与抑郁症状有关。
  • 图  1  MCTQ各指标间相互关系及社会性时差与SDS标准的关系分析

    注:A-C分别表示MSFSc与社会性时差、MSFSc与平均睡眠时长、社会性时差与平均睡眠时长的关系(相关分析); D表示社会性时差和SDS标准分的关系(多重线性回归)。

    Figure  1.  Relationship between MCTQ indicators and relationship between social jetlag and SDS standard score

    表  1  研究对象的特征分布

    Table  1.   Characteristic distribution of the study subjects

    变量 频数 数据分布(%)
    年龄(岁) 587 20.0(20.0, 21.0)a
    体重指数(kg/m2) 587 21.0(19.6, 22.9)a
    < 18.5 62 10.6
    18.5~ 437 74.4
    24.0~ 71 12.1
    ≥28.0 17 2.9
    吸烟行为
    从不吸烟 460 78.4
    曾经吸烟, 现已戒烟 19 3.3
    吸烟 107 18.3
    饮酒行为
    从不饮酒 294 50.5
    曾经饮酒, 现已戒酒 7 1.2
    饮酒 284 48.3
    饮茶行为
    从不饮茶 364 62.0
    曾经饮茶 102 17.5
    饮茶 120 20.5
    体育运动
    不参加 99 16.9
    参加 488 83.1
    平均睡眠时长(h/d) 535 7.1(6.7, 7.6)a
    ≤6.5 93 6.2(6.0, 6.3)a
    6.5~ 128 6.8(6.7, 6.9)a
    7.0~ 145 7.3(7.1, 7.4)a
    7.5~ 115 7.8(7.6, 7.9)a
    8.0~ 30 8.2(8.1, 8.3)a
    8.5~ 15 8.6(8.6, 8.6)a
    > 9.0 9 9.2(9.1, 9.4)a
    MSFSc分类(睡眠时型) 414 4.9(4.4, 5.5)a
    早起型(上1/3) 136 4.2(4.0, 4.4)a
    中间型(中1/3) 146 4.9(4.7, 5.1)a
    晚起型(下1/3) 132 5.8(5.6, 6.2)a
    社会性时差(h) 556 0.9(0.5, 1.3)a
    ≤0.5 200 0.3(0.0, 0.4)a
    0.5~ 177 0.8(0.7, 1.0)a
    1.0~ 112 1.3(1.2, 1.4)a
    1.5~ 58 1.8(1.7, 1.9)a
    > 2.0 39 2.3(2.2, 2.6)a
    SDS标准分 587 38(32, 45)a
    注:aM(P25, P75)。
    下载: 导出CSV

    表  2  MCTQ各指标与SDS标准分的关联分析(单因素)

    Table  2.   Association of MCTQ indicators and SDS standard score (univariate analysis)

    睡眠指标 样本量 SDS标准分a P
    Kruskal-Wallis法 Jonckheere-Terpstra法
    社会性时差分类(h) 0.002 0.02
    ≤0.5 200 35(31, 42)
    0.5~ 177 40(33, 46)
    1.0~ 112 38(32, 45)
    1.5~ 58 38(32, 46)
    > 2.0 39 41(35, 46)
    平均睡眠时长分类(h/d) 0.262 0.600
    ≤6.5 93 38(33, 47)
    6.5~ 128 37(32, 43)
    7.0~ 145 38(32, 43)
    7.5~ 115 36(31, 42)
    8.0~ 30 39(32, 50)
    8.5~ 15 37(32, 52)
    > 9.0 9 42(32, 52)
    MSFSc分类(睡眠时型) 0.142 0.126
    早起型 136 36(32, 43)
    中间型 146 37(32, 43)
    晚起型 132 39(32, 46)
    注:aM(P25, P75)。
    下载: 导出CSV
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  • 收稿日期:  2019-12-20
  • 修回日期:  2020-02-01
  • 刊出日期:  2020-04-10

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