{"title":"The relationships between sleep-wake type, resilience, and depression in Chinese minority college students","authors":"Yang Yang, Li Feng","doi":"10.54517/esp.v9i2.2088","DOIUrl":null,"url":null,"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.","PeriodicalId":502744,"journal":{"name":"Environment and Social Psychology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environment and Social Psychology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54517/esp.v9i2.2088","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.