Dr Kin Cheung1, Dr Kin Yuen Tam2, Ms Hilda Tsang3, Dr Lillian Weiwei Zhang4, Dr Siu Wai Lit5. 1. School of Nursing, The Hong Kong Polytechnic University, Yuk Choi Road, Hung Hom, Kowloon, Hong Kong, China. Electronic address: kin.cheung@polyu.edu.hk. 2. Department of Applied Social Sciences, The Hong Kong Polytechnic University, Yuk Choi Road, Hung Hom, Kowloon, Hong Kong, China. Electronic address: kin.yuen.tam@polyu.edu.hk. 3. School of Nursing, The Hong Kong Polytechnic University, Yuk Choi Road, Hung Hom, Kowloon, Hong Kong, China. Electronic address: hilda.ht.tsang@polyu.edu.hk. 4. School of Nursing, The Hong Kong Polytechnic University, Yuk Choi Road, Hung Hom, Kowloon, Hong Kong, China. Electronic address: lillian.zhang@polyu.edu.hk. 5. Office of Counselling and Wellness, The Hong Kong Polytechnic University, Yuk Choi Road, Hung Hom, Kowloon, Hong Kong, China. Electronic address: siu.wai.lit.apss@polyu.edu.hk.
Abstract
BACKGROUND: Limited studies have been conducted to investigate the mental health status of subgroups of university students. This study hypothesized that there would be differences among student subgroups in the prevalence of depression, anxiety and stress; and association of age, gender, academic performance and mental health status. METHODS: This was a cross-sectional survey study. Since 2014, first-year university students in a university in Hong Kong were invited to complete the Depression Anxiety Stress Scale (DASS-21) before the commencement of their study. These DASS data were then merged with objectively measured data from university records. 9,479 students completed the DASS survey, this being 56.5% of the total student population in the records. Kruskal-Wallis Tests were applied to compare the differences among student subgroups. RESULTS: Community college transfer (CCT) students were the highest-risk group for depression, anxiety and stress, and their study load was the highest as well. Unexpectedly, mainstream students ranked after the CCT students in the prevalence and levels of depression, anxiety and stress. Student athletes had the highest prevalence of depression. Although there were declining trends for depression, anxiety and stress, it was only a slight drop. Overall, age, gender, study load and academic performance were associated with the mental health profile (p<0.05). LIMITATIONS: After admission, students' mental health conditions could have changed. Further studies are needed to measure mental health during their study. CONCLUSIONS: Mental health problems were not distributed evenly across different student subgroups, psychological support should be designed according to the needs of each student subgroup.
BACKGROUND: Limited studies have been conducted to investigate the mental health status of subgroups of university students. This study hypothesized that there would be differences among student subgroups in the prevalence of depression, anxiety and stress; and association of age, gender, academic performance and mental health status. METHODS: This was a cross-sectional survey study. Since 2014, first-year university students in a university in Hong Kong were invited to complete the Depression Anxiety Stress Scale (DASS-21) before the commencement of their study. These DASS data were then merged with objectively measured data from university records. 9,479 students completed the DASS survey, this being 56.5% of the total student population in the records. Kruskal-Wallis Tests were applied to compare the differences among student subgroups. RESULTS: Community college transfer (CCT) students were the highest-risk group for depression, anxiety and stress, and their study load was the highest as well. Unexpectedly, mainstream students ranked after the CCT students in the prevalence and levels of depression, anxiety and stress. Student athletes had the highest prevalence of depression. Although there were declining trends for depression, anxiety and stress, it was only a slight drop. Overall, age, gender, study load and academic performance were associated with the mental health profile (p<0.05). LIMITATIONS: After admission, students' mental health conditions could have changed. Further studies are needed to measure mental health during their study. CONCLUSIONS: Mental health problems were not distributed evenly across different student subgroups, psychological support should be designed according to the needs of each student subgroup.
Authors: Vanessa Blanco; Mar Salmerón; Patricia Otero; Fernando L Vázquez Journal: Int J Environ Res Public Health Date: 2021-05-29 Impact factor: 3.390
Authors: Laura Giessing; Julia Kannen; Jana Strahler; Marie Ottilie Frenkel Journal: Int J Environ Res Public Health Date: 2021-07-02 Impact factor: 3.390
Authors: Shirley Siu Yin Ching; Kin Yuen Tam; Lillian Weiwei Zhang; Jeremy Ng; Kin Cheung Journal: Int J Environ Res Public Health Date: 2021-03-21 Impact factor: 3.390