Mohammed A Mamun, Firoj Al-Mamun, Tamim Ikram, Marjia Khan Trisha, Muzibul Haque Limon, Nahida Bintee Mostofa, Tasnim B K Chowdhury, Nobendo Paul Shanto, Moneerah Mohammad ALmerab, Arif Chowdhury Apou, Nitai Roy, Md Bellal Hossain, Md Shakhaoat Hossain
{"title":"利用 GIS 技术探索孟加拉国未来大学生的心理健康素养:一项探索性研究。","authors":"Mohammed A Mamun, Firoj Al-Mamun, Tamim Ikram, Marjia Khan Trisha, Muzibul Haque Limon, Nahida Bintee Mostofa, Tasnim B K Chowdhury, Nobendo Paul Shanto, Moneerah Mohammad ALmerab, Arif Chowdhury Apou, Nitai Roy, Md Bellal Hossain, Md Shakhaoat Hossain","doi":"10.1017/gmh.2024.115","DOIUrl":null,"url":null,"abstract":"<p><p>Prospective university students experience substantial academic stressors and psychological vulnerabilities, yet their mental health literacy (MHL) remains inadequately explored. This study investigates four dimensions of MHL - help-seeking behaviors, stigma, knowledge about mental health and understanding of mental illnesses. Besides, Geographic Information System (GIS) techniques are employed to analyze spatial disparities in MHL, which is the first in the context of MHL research. A total of 1,485 students were assessed for sociodemographic characteristics, admission-related variables, health behaviors and family histories of mental health issues. Data were analyzed using SPSS and ArcGIS software. Multivariable linear regression analyses unveiled predictors of the MHL dimensions, with gender, family income, admission test performance, smoking, alcohol and drug use, physical and mental health history, current depression or anxiety and family history of mental health and suicide incidents emerging as common predictors. GIS analysis unraveled notable regional disparities in MHL, particularly in knowledge of mental health and mental illness, with northern and some southern districts displaying higher literacy levels. In conclusion, these findings accentuate significant gender and sociodemographic inequalities in MHL among prospective university students, highlighting the imperative for targeted interventions to enhance MHL and foster mental well-being in this cohort.</p>","PeriodicalId":48579,"journal":{"name":"Global Mental Health","volume":"11 ","pages":"e92"},"PeriodicalIF":3.3000,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11504947/pdf/","citationCount":"0","resultStr":"{\"title\":\"Exploring mental health literacy among prospective university students using GIS techniques in Bangladesh: an exploratory study.\",\"authors\":\"Mohammed A Mamun, Firoj Al-Mamun, Tamim Ikram, Marjia Khan Trisha, Muzibul Haque Limon, Nahida Bintee Mostofa, Tasnim B K Chowdhury, Nobendo Paul Shanto, Moneerah Mohammad ALmerab, Arif Chowdhury Apou, Nitai Roy, Md Bellal Hossain, Md Shakhaoat Hossain\",\"doi\":\"10.1017/gmh.2024.115\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Prospective university students experience substantial academic stressors and psychological vulnerabilities, yet their mental health literacy (MHL) remains inadequately explored. This study investigates four dimensions of MHL - help-seeking behaviors, stigma, knowledge about mental health and understanding of mental illnesses. Besides, Geographic Information System (GIS) techniques are employed to analyze spatial disparities in MHL, which is the first in the context of MHL research. A total of 1,485 students were assessed for sociodemographic characteristics, admission-related variables, health behaviors and family histories of mental health issues. Data were analyzed using SPSS and ArcGIS software. Multivariable linear regression analyses unveiled predictors of the MHL dimensions, with gender, family income, admission test performance, smoking, alcohol and drug use, physical and mental health history, current depression or anxiety and family history of mental health and suicide incidents emerging as common predictors. GIS analysis unraveled notable regional disparities in MHL, particularly in knowledge of mental health and mental illness, with northern and some southern districts displaying higher literacy levels. In conclusion, these findings accentuate significant gender and sociodemographic inequalities in MHL among prospective university students, highlighting the imperative for targeted interventions to enhance MHL and foster mental well-being in this cohort.</p>\",\"PeriodicalId\":48579,\"journal\":{\"name\":\"Global Mental Health\",\"volume\":\"11 \",\"pages\":\"e92\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2024-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11504947/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Global Mental Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1017/gmh.2024.115\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Mental Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1017/gmh.2024.115","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PSYCHIATRY","Score":null,"Total":0}
Exploring mental health literacy among prospective university students using GIS techniques in Bangladesh: an exploratory study.
Prospective university students experience substantial academic stressors and psychological vulnerabilities, yet their mental health literacy (MHL) remains inadequately explored. This study investigates four dimensions of MHL - help-seeking behaviors, stigma, knowledge about mental health and understanding of mental illnesses. Besides, Geographic Information System (GIS) techniques are employed to analyze spatial disparities in MHL, which is the first in the context of MHL research. A total of 1,485 students were assessed for sociodemographic characteristics, admission-related variables, health behaviors and family histories of mental health issues. Data were analyzed using SPSS and ArcGIS software. Multivariable linear regression analyses unveiled predictors of the MHL dimensions, with gender, family income, admission test performance, smoking, alcohol and drug use, physical and mental health history, current depression or anxiety and family history of mental health and suicide incidents emerging as common predictors. GIS analysis unraveled notable regional disparities in MHL, particularly in knowledge of mental health and mental illness, with northern and some southern districts displaying higher literacy levels. In conclusion, these findings accentuate significant gender and sociodemographic inequalities in MHL among prospective university students, highlighting the imperative for targeted interventions to enhance MHL and foster mental well-being in this cohort.
期刊介绍:
lobal Mental Health (GMH) is an Open Access journal that publishes papers that have a broad application of ‘the global point of view’ of mental health issues. The field of ‘global mental health’ is still emerging, reflecting a movement of advocacy and associated research driven by an agenda to remedy longstanding treatment gaps and disparities in care, access, and capacity. But these efforts and goals are also driving a potential reframing of knowledge in powerful ways, and positioning a new disciplinary approach to mental health. GMH seeks to cultivate and grow this emerging distinct discipline of ‘global mental health’, and the new knowledge and paradigms that should come from it.