A descriptive study of welfare and mental health issues among health-related sciences undergraduate students at the Medical University of Gdansk

Korolkiewicz, Paweł Konstanty; Skrzypkowska, Paulina; Ali, Shan; Grabowski, Jakub

doi:10.1177/00207640211068982

Cited by 4 publications

(2 citation statements)

References 40 publications

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“…Based on the mean score, mild depressive symptoms were also reported by German (6.77) and Chinese (6.99) students ( 85 ). A higher mean score reported Bangladeshi students (9.5) ( 90 ), Polish students (11.3) ( 92 ), and Greek students (9.36) ( 93 ).…”

Section: Discussionmentioning

confidence: 98%

Internet Addiction, Symptoms of Anxiety, Depressive Symptoms, Stress Among Higher Education Students During the COVID-19 Pandemic

Gavurová

Khouri

Ivanková

et al. 2022

Front. Public Health

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Poor mental health is a growing concern among young people during the coronavirus disease 2019 (COVID-19) pandemic. The aim of this study was to assess the associations of Internet addiction with depressive symptoms, anxiety symptoms, and stress in higher education students during the COVID-19 pandemic, as well as to examine these mental health problems in the context of study-related characteristics. The research sample consisted of 3,099 participants from the Czech Republic (CZ: 1,422) and Slovak Republic (SK: 1,677). The Internet Addiction Test (IAT), the Generalized Anxiety Disorder (GAD-7) scale, the Patient Health Questionnaire for depressive symptoms (PHQ-9), and the Perceived Stress Scale (PSS) were used to measure mental health problems. The analyses also included demographic data (gender and age) and study-related characteristics (form of study, degree of study, field of study, distance between college and home, and housing during the semester). Based on the results of frequency and descriptive analyses, the prevalence of mental health problems was high. The most serious levels of Internet addiction (IAT cut-off point ≥ 50), to which attention should be paid, were found in 3.5% of Czech and 6.2% of Slovak students. Using the standard cut-off point of GAD-7 ≥ 10, 14.1% of Czech and 11.6% of Slovak students were identified with anxiety symptoms. Regarding the PHQ-9 with the cut-off point ≥ 10, 23.4% of Czech and 19.1% of Slovak students had depressive symptoms, which should be addressed. Using the PSS cut-off point ≥ 27, 12.9% of Czech students and 9.1% of Slovak students perceived high stress. The quantile regression analysis showed that Internet addiction was positively associated with anxiety symptoms, depressive symptoms, and stress in all of the analyzed cases (p-value < 0.001). In terms of study-related characteristics, the binomial logistic regression analysis revealed that risk factors for mental health problems in Czech and Slovak students were mainly full-time form of study and living away from home during the semester. Internet addiction, anxiety symptoms, depressive symptoms, and stress are issues that require increased attention, and professionals and policy-makers should implement interventions to effectively prevent and help students with psychological problems.

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Section: Discussionmentioning

confidence: 98%

Internet Addiction, Symptoms of Anxiety, Depressive Symptoms, Stress Among Higher Education Students During the COVID-19 Pandemic

Gavurová

Khouri

Ivanková

et al. 2022

Front. Public Health

View full text Add to dashboard Cite

show abstract

“…For nursing students, practicing in clinical settings was a major stress [ 15 ]; and in the UK, students reported stress [ 16 ]. University students’ stress levels are important as it can have negative academic, emotional and health outcomes, and students might employ different unhealthy strategies to cope with stress (e.g., alcohol, smoking, illicit drug/s use, unhealthy eating) [ 17 – 19 ].…”

Section: Introductionmentioning

confidence: 99%

Clusters of lifestyle behavioral risk factors and their associations with depressive symptoms and stress: evidence from students at a university in Finland

El Ansari,

Sebena,

El-Ansari

et al. 2024

BMC Public Health

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Background No previous research of university students in Finland assessed lifestyle behavioral risk factors (BRFs), grouped students into clusters, appraised the relationships of the clusters with their mental well-being, whilst controlling for confounders. The current study undertook this task. Methods Students at the University of Turku (n = 1177, aged 22.96 ± 5.2 years) completed an online questionnaire that tapped information on sociodemographic variables (age, sex, income sufficiency, accommodation during the semester), four BRFs [problematic alcohol consumption, smoking, food consumption habits, moderate-to-vigorous physical activity (MVPA)], as well as depressive symptoms and stress. Two-step cluster analysis of the BRFs using log-likelihood distance measure categorized students into well-defined clusters. Two regression models appraised the associations between cluster membership and depressive symptoms and stress, controlling for sex, income sufficiency and accommodation during the semester. Results Slightly more than half the study participants (56.8%) had always/mostly sufficient income and 33% lived with parents/partner. Cluster analysis of BRFs identified three distinct student clusters, namely Cluster 1 (Healthy Group), Cluster 2 (Smokers), and Cluster 3 (Nonsmokers but Problematic Drinkers). Age, sex and MVPA were not different across the clusters, but Clusters 1 and 3 comprised significantly more respondents with always/mostly sufficient income and lived with their parents/partner during the semester. All members in Clusters 1 and 3 were non-smokers, while all Cluster 2 members comprised occasional/daily smokers. Problematic drinking was significantly different between clusters (Cluster 1 = 0%, Cluster 2 = 54%, Cluster 3 = 100%). Cluster 3 exhibited significantly healthier nutrition habits than both other clusters. Regression analysis showed: (1) males and those with sufficient income were significantly less likely to report depressive symptoms or stress; (2) those living with parents/partner were significantly less likely to experience depressive symptoms; (3) compared to Cluster 1, students in the two other clusters were significantly more likely to report higher depressive symptoms; and (4) only students in Cluster 2 were more likely to report higher stress. Conclusions BRFs cluster together, however, such clustering is not a clear-cut, all-or-none phenomenon. Students with BRFs consistently exhibited higher levels of depressive symptoms and stress. Educational and motivational interventions should target at-risk individuals including those with insufficient income or living with roommates or alone.

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Psychologic Welfare and Burnout of Medical Students after COVID-19 Pandemic Lockdown in Poland

Korolkiewicz,

Gaba,

Salloum

et al. 2023

Taiwanese Journal of Psychiatry

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Objectives: In this study, we intended to examine the psychological welfare, burnout, and stress-related coping mechanisms of medical students at the Medical University of Gdańsk, Gdańsk, Poland. Under the hypothesis that depressive symptoms and screening for problem alcohol drinking would predict the risk of burnout, we intended to study the relationship between selected variables (e.g., demographic and socioeconomic) and burnout risk and the effects of abandonment of social isolation restrictions related to the COVID-19 pandemic lockdown. Methods: Medical students completed an online survey assessing general mental health and stress coping mechanisms. We used copies of the Patient Health Questionnaire 9-item (PHQ-9); Cut-down, Annoyed, Guilty, and Eye-opener (CAGE) questionnaire; and the Oldenburg Burnout Inventory (OLBI), to quantify depressive symptoms, screen for problematic alcohol drinking, and assess the risk of burnout. Results: The mean total OLBI score ± standard deviation was 44.6 ± 7.3 (N = 700), with 91.1% of participants scoring ≥ 35 points. Female students had significantly higher total and exhaustion domain OLBI scores than their male counterparts (p < 0.05). About 76% of all respondents reported high levels of studies-related stress and 44% of survey participants agreed/strongly agreed that they considered dropping out of university courses due to the stress. The suicidal/self-harm ideations were found in 33.6% of students. Most students (64.4%) were screened positively for moderate-to-severe depressive symptoms, and 19% of them for risky alcohol use. Students with OLBI scores ≥ 35 achieved notably higher PHQ-9 and CAGE results. The results of multivariate regression analysis showed that PHQ-9 (p < 0.05) and CAGE (p < 0.05) questionnaire significantly predicted the OLBI score. Conclusion: Medical students are a vulnerable group at risk of developing mental health problems. A great number of survey participants screened positively for the presence of depressive symptoms, risky alcohol use, and burnout. The PHQ-9, and CAGE results, was significant predictor of OLBI outcomes. The improvement of COVID-19 pandemic-related social isolation restrictions did not produce a marked improvement in somatic/mental health-related quantifiers as compared to the time of strict social restrictions.

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A descriptive study of welfare and mental health issues among health-related sciences undergraduate students at the Medical University of Gdansk

Cited by 4 publications

References 40 publications

Internet Addiction, Symptoms of Anxiety, Depressive Symptoms, Stress Among Higher Education Students During the COVID-19 Pandemic

Internet Addiction, Symptoms of Anxiety, Depressive Symptoms, Stress Among Higher Education Students During the COVID-19 Pandemic

Clusters of lifestyle behavioral risk factors and their associations with depressive symptoms and stress: evidence from students at a university in Finland

Psychologic Welfare and Burnout of Medical Students after COVID-19 Pandemic Lockdown in Poland

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