Version 1
: Received: 17 July 2023 / Approved: 17 July 2023 / Online: 18 July 2023 (13:38:40 CEST)
Version 2
: Received: 22 July 2023 / Approved: 25 July 2023 / Online: 25 July 2023 (13:24:00 CEST)
Huang, Y.; Wongpakaran, T.; Wongpakaran, N.; Bhatarasakoon, P.; Pichayapan, P.; Worland, S. Depression and Its Associated Factors among Undergraduate Engineering Students: A Cross-Sectional Survey in Thailand. Healthcare2023, 11, 2334.
Huang, Y.; Wongpakaran, T.; Wongpakaran, N.; Bhatarasakoon, P.; Pichayapan, P.; Worland, S. Depression and Its Associated Factors among Undergraduate Engineering Students: A Cross-Sectional Survey in Thailand. Healthcare 2023, 11, 2334.
Huang, Y.; Wongpakaran, T.; Wongpakaran, N.; Bhatarasakoon, P.; Pichayapan, P.; Worland, S. Depression and Its Associated Factors among Undergraduate Engineering Students: A Cross-Sectional Survey in Thailand. Healthcare2023, 11, 2334.
Huang, Y.; Wongpakaran, T.; Wongpakaran, N.; Bhatarasakoon, P.; Pichayapan, P.; Worland, S. Depression and Its Associated Factors among Undergraduate Engineering Students: A Cross-Sectional Survey in Thailand. Healthcare 2023, 11, 2334.
Abstract
Background: 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. Methods: 346students 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 skill, learning styles, relationship satisfaction, interpersonal difficulty, alcohol use, internet addiction, and neuroticism. Correlation and regression analysis were applied to test the association between sociodemographic and psychosocial factors and depression. Results. Of 346 students with the mean age was 20.25 (SD, 1.33), 52.31% was 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. Conclusion: the prevalence of depression among engineering students is unexpectedly high. Intra and interpersonal factors were found to be associated with depression. Further study on identifying these risk factors should be encouraged.
Public Health and Healthcare, Public Health and Health Services
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Received:
25 July 2023
Commenter:
Yuanyue Huang
Commenter's Conflict of Interests:
Author
Comment: (Out of a total of 340 valid samples, 92 individuals (27.06%) exhibited a unimodal learning style (V or A or R or K), 42 individuals (12.35%) exhibited a bimodal learning style (e.g., VA, RK), 60 individuals (17.65%) exhibited a trimodal learning style (e.g., VAR, ARK), and 146 individuals (42.94%) exhibited a quadmodal learning style (VARK). No significant difference of depression scores between VARK modalities was observed.)
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Commenter: Yuanyue Huang
Commenter's Conflict of Interests: Author