Cross-lagged analysis of anxiety and depressive symptoms, uncertainty stress with academic buoyancy in college students
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摘要:
目的 探索大学生焦虑抑郁症状和不确定性压力与学业浮力之间的相互关系,为促进大学生心理健康和提高学业浮力提供参考。 方法 选用多阶段整群随机抽样方法,抽取741名江苏省徐州市某高校大一、大二年级学生为研究对象,使用不确定性压力量表、抑郁症状群量表、广泛性焦虑量表和学业浮力量表作为测量工具,先后于2022年10月(T1)和2023年10月(T2)完成2次问卷调查。运用交叉滞后模型分析3种心理健康变量与学业浮力的相互关系,然后建立心理问题的潜变量交叉滞后模型进行分析。 结果 交叉滞后模型结果显示,大学生T1不确定性压力负向预测T2学业浮力(β=-0.14),T1学业浮力负向预测T2不确定性压力(β=-0.11);大学生T1抑郁症状负向预测T2学业浮力(β=-0.08),T1学业浮力负向预测T2抑郁症状(β=-0.09);大学生T1学业浮力负向预测T2焦虑症状(β=-0.10)(P值均 < 0.05)。以大学生3种心理健康变量建立的心理问题潜变量交叉滞后模型结果显示,大学生T1心理问题负向预测T2学业浮力(β=-0.09),T1学业浮力负向预测T2心理问题(β=-0.09)(P值均 < 0.05)。 结论 大学生的心理健康状况与学业浮力存在纵向关联,良好的心理健康状况有助于提高学业浮力水平。 Abstract:Objective To examine the reciprocal relationships of anxiety and depressive symptoms, uncertainty stress with academic buoyancy among college students, providing evidence for mental health promotion and academic resilience enhancement. Methods A multi-stage cluster random sampling method was used to selected 741 undergraduates from grade 1 to 2 of a university in Xuzhou, Jiangsu Province. Participants completed two waves of surveys (T1: October 2022; T2: October 2023) using the Uncertainty Stress Scale, Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Academic Buoyancy Scale. Cross-lagged models analyzed bidirectional relationships between three mental health variables and academic buoyancy, followed by latent variable modeling integrating all mental health dimensions. Results Cross-lagged model results revealed that T1 uncertainty stress negatively predicted T2 academic buoyancy (β=-0.14), while T1 academic buoyancy negatively predicted T2 uncertainty stress (β=-0.11); T1 depressive symptom negatively predicted T2 academic buoyancy (β=-0.08), while T1 academic buoyancy negatively predicted T2 depressive symptom (β=-0.09); furthermore, T1 academic buoyancy negatively predicted T2 anxiety symptom(β=-0.10) (P < 0.05). Results from the latent variable cross-lagged model of psychological problems (constructed from the three mental health variables) indicated that T1 psychological problems negatively predicted T2 academic buoyancy (β=-0.09), while T1 academic buoyancy negatively predicted T2 psychological problems (β=-0.09) (P < 0.05). Conclusions Longitudinal bidirectional relationships exist between mental health status and academic buoyancy in college students. Better mental health facilitates higher academic buoyancy. -
Key words:
- Mental health /
- Learning /
- Gross-lagged analysis /
- Students
1) 利益冲突声明 所有作者声明无利益冲突。 -
表 1 大学生学业浮力的单因素分析(x ±s)
Table 1. Univariate analysis of academic buoyancy among college students(x ±s)
特征 选项 人数 学业浮力得分 t/F值 P值 性别 男 338 14.13±4.17 2.27 0.02 女 403 13.43±4.18 是否独生子女 是 387 13.87±4.52 0.47 0.64 否 354 13.73±3.89 家庭居住地 城市 471 13.63±4.37 -1.49 0.14 农村 270 14.09±3.84 学制 5年 555 13.70±4.18 -1.00 0.32 4年 186 14.06±4.20 家庭月收入/元 <2 000 31 13.32±3.77 1.23 0.24 2 000~5 000 159 13.33±4.21 5 001~8 000 179 13.89±4.00 8 001~15 000 248 13.99±4.31 >1 5000 124 13.96±4.29 家庭类型* 核心家庭 642 13.81±4.19 0.98 0.48 单亲家庭 52 13.29±4.60 重组家庭 10 14.30±3.06 隔代家庭 33 13.79±3.86 其他 4 16.50±2.89 父亲文化程度 初中及以下 235 13.84±4.19 0.96 0.50 高中或中专 297 14.03±3.90 大学或以上 209 13.41±4.56 母亲文化程度 初中及以下 306 13.75±4.23 1.16 0.30 高中或中专 291 13.98±4.05 大学或以上 144 13.51±4.39 注:*核心家庭为夫妻与未婚子女;单亲家庭为单亲与未婚子女;重组家庭为含继子女的新组合;隔代家庭为祖辈抚养孙辈;其他为除核心、单亲、重组及隔代家庭以外类型。 表 2 大学生心理健康变量与学业浮力的相关性分析(r值,n=741)
Table 2. Correlation analysis between mental health variables and academic buoyancy of college students(r, n=741)
变量 T1不确定性压力 T1抑郁症状 T1焦虑症状 T1学业浮力 T2不确定性压力 T2抑郁症状 T2焦虑症状 T1抑郁症状 0.73** T1焦虑症状 0.67** 0.84** T1学业浮力 -0.19** -0.17** -0.19** T2不确定性压力 0.43** 0.40** 0.37** -0.18** T2抑郁症状 0.33** 0.40** 0.38** -0.15** 0.76** T2焦虑症状 0.35** 0.42** 0.43** -0.17** 0.73** 0.87** T2学业浮力 -0.18** -0.12** -0.12** 0.27** -0.09* -0.04 -0.08* 注:* P<0.05,**P<0.01。 -
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