Online Mental Health Survey: An Analysis based on Family Characteristic

DOI

10.2991/978-2-38476-198-2_118How to use a DOI?

Keywords

College Student; Family Characteristic; Mental Health

Abstract

The Coronavirus disease 2019 (Covid-19) outbreak has spread from Wuhan to Indonesia. Since 2020, the government has asked people to quarantine at home to reduce the spread of disease. As a result, students learn from home, which causes them to spend more time with their families. As a result of the increasing number of confirmed cases and deaths of Covid-19, people are starting to experience mental health problems, including depression, anxiety, and stress. This study aims to investigate students’ mental health in terms of various family characteristics. This study involved 743 students selected by a disproportionate random sampling technique from eight faculties at Universitas Negeri Jakarta. Researchers collected data from March to April 2022 using the Depression Anxiety Stress Scale (DASS-21). After analysing the validity and reliability of the items, the researcher confirmed that DASS-21 fit the model. The study results concluded that there were differences in students’ average mental health problems based on differences in birth order, father’s occupation, and father’s last education. In addition, the analysis showed that the average scores for depression, anxiety and stress for male students were higher than for female students. Appropriate coping strategies will have a good impact on student’s mental health. So, families need to pay attention to students’ mental health conditions, provide solutions or assistance when students are experiencing problems, provide support and motivation to keep their enthusiasm for online learning and socialize with good coping strategies.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Uswatun Hasanah
AU  - Maya Oktaviani
AU  - Annisa Zakiyah Tribrilianti
PY  - 2024
DA  - 2024/02/06
TI  - Online Mental Health Survey: An Analysis based on Family Characteristic
BT  - Proceedings of the 5th Vocational Education International Conference (VEIC-5 2023)
PB  - Atlantis Press
SP  - 856
EP  - 862
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-198-2_118
DO  - 10.2991/978-2-38476-198-2_118
ID  - Hasanah2024
ER  -