Huang Yuanyue, Wongpakaran Tinakon, Wongpakaran Nahathai, Bhatarasakoon Patraporn, Pichayapan Preda, Worland Shirley
Graduate School, Chiang Mai University, Chiang Mai 50200, Thailand.
Department of Psychiatry, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.
Healthcare (Basel). 2023 Aug 18;11(16):2334. doi: 10.3390/healthcare11162334.
Depression is a common mental health problem that can affect everyone at different stages of development. Though the prevalence rate of depression among university students is rising, exploration among engineering students is limited. The aim of the study was to examine the prevalence of depression and its associated factors of among engineering students in Thailand.
A total of 346 students participated in this study. All completed the outcome inventory depression subscale (OI-D) to evaluate the level and prevalence of depression. Other variables assessed included social skills, learning styles, relationship satisfaction, interpersonal difficulty, alcohol use, internet addiction, and neuroticism. Correlation and regression analyses were applied to test the association between sociodemographic and psychosocial factors and depression.
Of the 346 students with the mean age of 20.25 (SD, 1.33), 52.31% were male. Based on the OI-D, 35.3% of participants exhibited symptoms indicative of major depression. Multiple regression showed that only neuroticism, interpersonal difficulties, social skills, and self-esteem appeared to be the significant predictors of depression.
The prevalence of depression among engineering students in Thailand was unexpectedly high compared with the prevalence of depression among engineering students in some other countries. Intra- and interpersonal factors were found to be associated with depression. Further study on identifying these risk factors should be encouraged.
抑郁症是一种常见的心理健康问题，会影响处于不同发育阶段的每个人。尽管大学生中抑郁症的患病率在上升，但对工科学生的研究却很有限。本研究的目的是调查泰国工科学生中抑郁症的患病率及其相关因素。
共有346名学生参与了本研究。所有人都完成了结果量表抑郁分量表（OI-D），以评估抑郁症的程度和患病率。评估的其他变量包括社交技能、学习方式、关系满意度、人际困难、饮酒、网络成瘾和神经质。采用相关分析和回归分析来检验社会人口学和心理社会因素与抑郁症之间的关联。
在这346名平均年龄为20.25岁（标准差为1.33）的学生中，52.31%为男性。根据OI-D，35.3%的参与者表现出重度抑郁症的症状。多元回归分析表明，只有神经质、人际困难、社交技能和自尊似乎是抑郁症的显著预测因素。
与其他一些国家工科学生的抑郁症患病率相比，泰国工科学生中抑郁症的患病率出奇地高。发现内在和人际因素与抑郁症有关。应鼓励进一步研究以确定这些风险因素。
