Mamun Mohammed A, Al-Mamun Firoj, Ikram Tamim, Trisha Marjia Khan, Limon Muzibul Haque, Mostofa Nahida Bintee, Chowdhury Tasnim B K, Shanto Nobendo Paul, ALmerab Moneerah Mohammad, Apou Arif Chowdhury, Roy Nitai, Hossain Md Bellal, Hossain Md Shakhaoat
Department of Public Health and Informatics, Jahangirnagar University, Dhaka, Bangladesh.
CHINTA Research Bangladesh, Dhaka, Bangladesh.
Glob Ment Health (Camb). 2024 Oct 23;11:e92. doi: 10.1017/gmh.2024.115. eCollection 2024.
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.
未来的大学生面临着巨大的学业压力源和心理脆弱性,但他们的心理健康素养(MHL)仍未得到充分探索。本研究调查了心理健康素养的四个维度——求助行为、污名、心理健康知识和对精神疾病的理解。此外,采用地理信息系统(GIS)技术分析心理健康素养的空间差异,这在心理健康素养研究背景下尚属首次。共对1485名学生进行了社会人口学特征、入学相关变量、健康行为和心理健康问题家族史的评估。使用SPSS和ArcGIS软件对数据进行分析。多变量线性回归分析揭示了心理健康素养维度的预测因素,性别、家庭收入、入学考试成绩、吸烟、饮酒和吸毒、身心健康史、当前的抑郁或焦虑以及心理健康和自杀事件家族史成为常见的预测因素。GIS分析揭示了心理健康素养存在显著的区域差异,特别是在心理健康和精神疾病知识方面,北部和一些南部地区的素养水平较高。总之,这些发现凸显了未来大学生在心理健康素养方面存在显著的性别和社会人口学不平等,强调了针对性干预措施的必要性,以提高这一群体的心理健康素养并促进其心理健康。