Michael T. Kalkbrenner, R. Flinn, D. Sullivan, Luis E. Esquivel Arteaga
{"title":"支持第一代社区大学生心理健康的心理健康素养方法:红旗模型","authors":"Michael T. Kalkbrenner, R. Flinn, D. Sullivan, Luis E. Esquivel Arteaga","doi":"10.1177/00915521211002893","DOIUrl":null,"url":null,"abstract":"Objective: First-generation community college students face unique risks for mental health distress, which can place them at risk for attrition and a myriad of other negative consequences. The aim of the present quantitative investigation was to test the utility of the REDFLAGS model, a mental health literacy based tool for supporting mental wellness, with a national sample of first-generation community college students. Method: Confirmatory factor analysis (CFA), logistic regression analysis, and a factorial analysis of variance (ANOVA) were computed to test the utility of the REDFLAGS model as a tool for promoting first-generation community college students’ mental health. Results: The CFA demonstrated that the dimensionality of the REDFLAGS model was estimated adequately with first-generation community college students. First-generation community college students’ recognition of the REDFLAGS as warning signs for mental distress emerged as a significant positive predictor of making a peer-to-peer referral to the counseling center. The factorial ANOVA revealed that first-generation community college students who were members of a Greek Organization were more likely to identify the REDFLAGS as warning signs for mental distress. Contributions: Previous investigators established multiple strategies for supporting the mental health needs of either first-generation or community college students. First-generation community college student mental health, however, has received little attention. This study demonstrates the utility of the REDFLAGS model with first-generation community college students. Considering the dearth of literature on first-generation community college student mental health, the REDFLAGS model offers novel implications for promoting the mental health needs of first-generation students enrolled in community colleges.","PeriodicalId":46564,"journal":{"name":"Community College Review","volume":"49 1","pages":"243 - 261"},"PeriodicalIF":1.7000,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/00915521211002893","citationCount":"7","resultStr":"{\"title\":\"A Mental Health Literacy Approach to Supporting First-Generation Community College Student Mental Health: The REDFLAGS Model\",\"authors\":\"Michael T. Kalkbrenner, R. Flinn, D. Sullivan, Luis E. Esquivel Arteaga\",\"doi\":\"10.1177/00915521211002893\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective: First-generation community college students face unique risks for mental health distress, which can place them at risk for attrition and a myriad of other negative consequences. The aim of the present quantitative investigation was to test the utility of the REDFLAGS model, a mental health literacy based tool for supporting mental wellness, with a national sample of first-generation community college students. Method: Confirmatory factor analysis (CFA), logistic regression analysis, and a factorial analysis of variance (ANOVA) were computed to test the utility of the REDFLAGS model as a tool for promoting first-generation community college students’ mental health. Results: The CFA demonstrated that the dimensionality of the REDFLAGS model was estimated adequately with first-generation community college students. First-generation community college students’ recognition of the REDFLAGS as warning signs for mental distress emerged as a significant positive predictor of making a peer-to-peer referral to the counseling center. The factorial ANOVA revealed that first-generation community college students who were members of a Greek Organization were more likely to identify the REDFLAGS as warning signs for mental distress. Contributions: Previous investigators established multiple strategies for supporting the mental health needs of either first-generation or community college students. First-generation community college student mental health, however, has received little attention. This study demonstrates the utility of the REDFLAGS model with first-generation community college students. Considering the dearth of literature on first-generation community college student mental health, the REDFLAGS model offers novel implications for promoting the mental health needs of first-generation students enrolled in community colleges.\",\"PeriodicalId\":46564,\"journal\":{\"name\":\"Community College Review\",\"volume\":\"49 1\",\"pages\":\"243 - 261\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2021-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/00915521211002893\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Community College Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/00915521211002893\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Community College Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/00915521211002893","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
A Mental Health Literacy Approach to Supporting First-Generation Community College Student Mental Health: The REDFLAGS Model
Objective: First-generation community college students face unique risks for mental health distress, which can place them at risk for attrition and a myriad of other negative consequences. The aim of the present quantitative investigation was to test the utility of the REDFLAGS model, a mental health literacy based tool for supporting mental wellness, with a national sample of first-generation community college students. Method: Confirmatory factor analysis (CFA), logistic regression analysis, and a factorial analysis of variance (ANOVA) were computed to test the utility of the REDFLAGS model as a tool for promoting first-generation community college students’ mental health. Results: The CFA demonstrated that the dimensionality of the REDFLAGS model was estimated adequately with first-generation community college students. First-generation community college students’ recognition of the REDFLAGS as warning signs for mental distress emerged as a significant positive predictor of making a peer-to-peer referral to the counseling center. The factorial ANOVA revealed that first-generation community college students who were members of a Greek Organization were more likely to identify the REDFLAGS as warning signs for mental distress. Contributions: Previous investigators established multiple strategies for supporting the mental health needs of either first-generation or community college students. First-generation community college student mental health, however, has received little attention. This study demonstrates the utility of the REDFLAGS model with first-generation community college students. Considering the dearth of literature on first-generation community college student mental health, the REDFLAGS model offers novel implications for promoting the mental health needs of first-generation students enrolled in community colleges.
期刊介绍:
The Community College Review (CCR) has led the nation for over 35 years in the publication of scholarly, peer-reviewed research and commentary on community colleges. CCR welcomes manuscripts dealing with all aspects of community college administration, education, and policy, both within the American higher education system as well as within the higher education systems of other countries that have similar tertiary institutions. All submitted manuscripts undergo a blind review. When manuscripts are not accepted for publication, we offer suggestions for how they might be revised. The ultimate intent is to further discourse about community colleges, their students, and the educators and administrators who work within these institutions.