The relationships between sleep-wake type, resilience, and depression in Chinese minority college students

Environment and Social Psychology Pub Date : 2023-12-26 DOI:10.54517/esp.v9i2.2088

Yang Yang, Li Feng

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Abstract

The purpose of this study was to explore the relationships between sleep-wake type, resilience, and depression in minority college students. Through the method of cluster sampling, 791 first-year students of a college in Hunan Province participated in a survey using the Questionnaire Star software, and chi-square tests and logistic regression analysis were performed using the IBM SPSS Statistics 26 software. The results showed that the depression-detection rate among girls was significantly higher than that among boys; the depression-detection rate among students who did not like the current major was higher than that among those who did; while the depression-detection rate among students with the intermediate-sleep type was higher than that among those with the night-sleep (late to bed and late to rise) and early-morning sleep (early to bed and early to rise) types. The depression-detection rate among students with low resilience was higher than that among those with medium and high resilience. In addition, the night- and intermediate-sleep types were more likely to predict students’ depression than the morning-sleep type, and low and medium resilience were more likely to predict students’ depression than high resilience.

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中国少数民族大学生的睡眠-觉醒类型、复原力与抑郁之间的关系

本研究旨在探讨少数民族大学生睡眠-觉醒类型、复原力和抑郁之间的关系。通过整群抽样的方法，使用问卷星软件对湖南省某高校 791 名大一学生进行了问卷调查，并使用 IBM SPSS Statistics 26 软件进行了卡方检验和逻辑回归分析。结果显示，女生的抑郁检出率明显高于男生；不喜欢当前专业的学生的抑郁检出率高于喜欢当前专业的学生；中等睡眠类型的学生的抑郁检出率高于晚睡（晚睡晚起）和早睡（早睡早起）类型的学生。低抗压能力学生的抑郁检测率高于中抗压能力和高抗压能力学生。此外，晚睡型和中睡型比早睡型更容易预测学生的抑郁情况，低复原力和中复原力比高复原力更容易预测学生的抑郁情况。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Environment and Social Psychology

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