大学生睡眠质量轨迹和社会时差与焦虑抑郁症状共患的关联

向波; 牛雅倩; 李婷婷; 谢阳; 陶舒曼; 杨娅娟; 邹立巍; 陶芳标; 伍晓艳

doi:10.16835/j.cnki.1000-9817.2024161

大学生睡眠质量轨迹和社会时差与焦虑抑郁症状共患的关联

doi: 10.16835/j.cnki.1000-9817.2024161

向波^{1, 2},
牛雅倩³,
李婷婷¹,
谢阳¹,
陶舒曼⁴,
杨娅娟³,
邹立巍⁴,
陶芳标^{1, 4},
伍晓艳^{1, 4, ,}

1.
安徽医科大学公共卫生学院儿少卫生与妇幼保健学系，合肥 230032
2.
皖南医学院第二附属医院
3.
安徽医科大学护理学院
4.
出生人口健康教育部重点实验室/环境与人口健康安徽省重点实验室

基金项目:

国家自然科学基金项目 82173542

国家自然科学基金项目 82373592

安徽医科大学科研水平提升计划资助项目 2022xkjT004

详细信息

作者简介:
向波(1982-)，男，安徽巢湖人，在读硕士，卫生管理师，主要研究方向为妇幼卫生管理

通讯作者:
伍晓艳，E-mail：xywu@ahmu.edu.cn

利益冲突声明 所有作者声明无利益冲突。
中图分类号: R179 G444 Q428 G479
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- 被引次数: 0
出版历程
- 收稿日期: 2024-04-05
- 修回日期: 2024-04-27
- 网络出版日期: 2024-05-30
- 刊出日期: 2024-05-25

Associations of sleep quality trajectory and social jetlag with comorbid symptoms of anxiety and depression among college students

XIANG Bo^{1, 2},
NIU Yaqian³,
LI Tingting¹,
XIE Yang¹,
TAO Shuman⁴,
YANG Yajuan³,
ZOU Liwei⁴,
TAO Fangbiao^{1, 4},
WU Xiaoyan^{1, 4
, ,}

1.
Department of Maternal with Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei (230032), Anhui Province, China

摘要

摘要: 目的探讨大学生睡眠质量轨迹和社会时差与焦虑抑郁症状共患的流行现状及关联，为改善大学生焦虑抑郁症状共患提供理论依据。方法于2019年4—5月，在安徽省合肥市和江西省上饶市方便选取2所高校的1 135名学生进行问卷调查，每隔1年随访1次，共调查3次，与基线匹配后有效人数为1 034名大学生。采用自评问卷调查大学生社会时差，分别采用匹兹堡睡眠质量量表(PSQI)、广泛性焦虑障碍问卷-7项(GAD-7)、患者健康问卷(PHQ-9)评估大学生的睡眠质量、焦虑症状和抑郁症状，将GAD-7得分≥5分且PHQ-9得分≥5分的大学生界定为焦虑抑郁症状共患。采用潜类别增长模型(LCGM)分析大学生睡眠质量轨迹，采用二元Logistic回归分析睡眠质量轨迹、社会时差与焦虑抑郁症状共患的关联。结果大学生焦虑抑郁共患检出率为16.9%，社会时差≥2 h的检出率为13.8%，睡眠质量总体呈现好转趋势，2种轨迹分别为睡眠质量较好(81.6%)和睡眠质量较差(18.4%)。调整协变量后，二元Logistic回归模型结果显示，睡眠质量较差和社会时差≥2 h与焦虑抑郁症状共患呈正相关(OR值分别为5.94，1.84，P值均 < 0.05)。结论大学生睡眠质量较差和社会时差≥2 h会增加焦虑抑郁症状共患的风险，早期筛查和干预睡眠质量以及降低社会时差对改善大学生心理健康有重要意义。
- 睡眠 /
- 焦虑 /
- 抑郁 /
- 共病现象 /
- 精神卫生 /
- 学生
Abstract: Objective To describe the prevalence and the association of sleep quality trajectory, social jetlag and comorbid symptoms of anxiety and depression among college students, in order to provide a theoretical basis for improving the comorbid symptoms of anxiety and depression in college students. Methods A questionnaire survey was conducted among 1 135 college students from two universities in Shangrao, Jiangxi Province and Hefei, Anhui Province from April to May 2019, and were followed up once every one year for a total of three times, with a valid sample size of 1 034 individuals after matching with the baseline survey. A self-assessment questionnaire was used to investigate the social jetlag of college students, the Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire 9 (PHQ-9) were used to evaluate anxiety and depression symptoms, respectively, while the Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. College students with GAD-7 score ≥5 and PHQ-9 score ≥5 were defined as having comorbid anxiety and depression symptoms. Latent class growth model (LCGM) was employed to analyze the sleep quality trajectory of college students, and binary Logistic regression was used to analyze the relationship between social jetlag, sleep quality trajectory and comorbid symptoms of anxiety and depression. Results The detection rate of comorbid symptoms of anxiety and depression among college students was 16.9%, and the detection rate of social jetlag ≥2 h was 13.8%. The sleep quality showed an overall improvement trend, and the two trajectories were good sleep quality (81.6%) and poor sleep quality (18.4%). Binary Logistic regression model showed that poor sleep quality and social jetlag ≥2 h were positively correlated with comorbid symptoms of anxiety and depression (OR=5.94, 1.84, P < 0.05). Conclusions Poor sleep quality and social jetlag ≥2 h in college students increase the risk of comorbid symptoms of anxiety and depression. Early screening and intervention of sleep quality and reduction of social jetlag are crucial for enhancing the mental health of college students.
- Sleep /
- Anxiety /
- Depression /
- Comorbidity /
- Mental health /
- Students
注释:

1) 利益冲突声明 所有作者声明无利益冲突。

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表 1 大学生不同睡眠质量轨迹模型参数(n=1 034)

Table 1. Different trajectory model parameters of sleep quality of college students(n=1 034)

类别	占比/%	AIC值	BIC值	aBIC值	熵值	P_LMRT值	P_BLRT值
1	100.0	14 474.35	14 504.00	14 484.94
2	18.4/81.6	14 284.78	14 329.25	14 300.67	0.70	＜0.01	＜0.01
3	8.8/50.0/41.2	14 228.22	14 287.52	14 249.40	0.69	0.08	＜0.01
4	2.5/41.8/49.0/6.7	14 171.52	14 245.64	14 198.00	0.75	0.24	＜0.01

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表 2 不同组别大学生焦虑抑郁症状共患检出率比较

Table 2. Comparison of the detection rates of comorbid symptoms of anxiety and depression in college students in different variables

组别	选项	人数	检出人数	χ²值	P值
性别	男	397	70(17.6)	0.23	0.63
	女	637	105(16.5)
家庭居住地	农村	576	102(17.7)	0.57	0.45
	城镇	458	73(15.9)
自评健康状况	好	850	126(14.8)	18.79	＜0.01
	一般	171	43(25.1)
	差	13	6(46.2)
吸烟	否	933	146(15.6)	11.06	＜0.01
	是	101	29(28.7)
饮酒	否	791	104(13.1)	34.14	＜0.01
	是	243	71(29.2)
体力活动	低	188	50(26.6)	19.89	＜0.01
	中	404	48(11.9)
	高	442	77(17.4)
社会时差/h	＜2	891	138(15.5)	9.45	< 0.01
	≥2	143	37(25.9)
睡眠质量轨迹	较好	844	87(10.3)	143.01	＜0.01
	较差	190	88(46.3)
注： ()内数字为检出率/%。

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