Dataset Information

Mental health and wellbeing of further and higher education students returning to face-to-face learning after Covid-19 restrictions.

ABSTRACT:

Aim

This study aimed to examine the mental health and wellbeing of further and higher education students and the associating factors after returning to face-to-face (in-person) learning after Covid-19 restrictions.

Methods

A cross-sectional study informed by student consultations was conducted using a survey design. Mental health and wellbeing were assessed using self-report items on the Depression, Anxiety and Stress Scale (DASS-21) and the Short Warwick-Edinburgh Mental Wellbeing Scale (SWEMWBS). Descriptive statistics and stepwise multiple linear regression analyses were conducted on data collected between December 2021 and June 2022.

Results

N = 1160 students participated; 69.6% between 16 and 25 years, 67.9% studying in the UK, 66.5% studying away from home, 60.2% identified as she/her, 59.8% studying at the undergraduate degree level, 42.5% belonging to non-White ethnic backgrounds, 29.6% identifying as having additional needs and 22.8% as sexual minority. Moderate anxiety (M = 13.67, SD = 9.92) and depression (M = 17.04, SD = 11.56) scores were mainly reported. Wellbeing scores (M = 20.31, SD = 3.93) were lower than the estimate for the pre-pandemic general population. Gender expression, sexuality, age, ethnicity, having additional needs, and level and location of study was associated with mental health or wellbeing. Individual coping styles, levels of self-efficacy and physical activity were also associated with mental health or wellbeing.

Conclusions

Many students returning to further and higher education after Covid-19 restrictions experienced reduced mental health and wellbeing, and some students were at greater risk. Providing student-centred interventions focusing on self-efficacy, coping styles and physical activity may help improve the mental health and wellbeing of students.

SUBMITTER: Liverpool S

PROVIDER: S-EPMC9870122 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Mental health and wellbeing of further and higher education students returning to face-to-face learning after Covid-19 restrictions.

Liverpool Shaun S Moinuddin Mohammed M Aithal Supritha S Owen Michael M Bracegirdle Katie K Caravotta Meggie M Walker Rachel R Murphy Ciaran C Karkou Vicky V

PloS one 20230123 1

<h4>Aim</h4>This study aimed to examine the mental health and wellbeing of further and higher education students and the associating factors after returning to face-to-face (in-person) learning after Covid-19 restrictions.<h4>Methods</h4>A cross-sectional study informed by student consultations was conducted using a survey design. Mental health and wellbeing were assessed using self-report items on the Depression, Anxiety and Stress Scale (DASS-21) and the Short Warwick-Edinburgh Mental Wellbein ...[more]

PMID: 36689440

Similar Datasets

Project description:BackgroundDigital mental health interventions have been posited as a way of reducing the burden on mental health services in higher education institutions. However, low adherence and high attrition rates present a challenge that limits the effectiveness of these interventions. User-centered design has been proposed as a suitable approach in improving the adherence of users to these interventions.ObjectiveThe objective of this scoping review was to examine digital mental health interventions that have been designed specifically for students in higher education. It aimed to summarize the published literature on digital mental health interventions which take a user-centered approach in developing interventions for students in higher education.MethodsA scoping review of peer-reviewed research papers from the following electronic databases was conducted: Embase, ACM digital library, Web of Science, IEEE Explore, SCOPUS, EBSCO Host (including APA PyscInfo, CINAHL PLUS, APA PsycArticles, Medline), PubMed and Google Scholar. Databases were searched from inception until 13 Jan and 14 Jan 2021. Of the 755 articles that were identified, 57 articles were selected for full review. 34 articles were excluded for not matching the inclusion criteria.Results23 studies were included in this review. The included interventions targeted various areas of mental health including depression, anxiety, overall wellbeing, and mental health awareness. The interventions were commonly delivered through mobile apps, web-based apps, and desktop apps. In addition, we explore design methodologies applied in the development of the interventions: we note significant stakeholder engagement in the studies, the inclusion of multiple stakeholder types (students, health care professionals, university staff, and young people in the general population), and limited use of design frameworks. Finally, in exploring user engagement, attrition rates and user acceptance, we find that most of the studies have not progressed enough (i.e., at pilot/prototype stages of development) to determine the impact of design methodologies on the success of these interventions.ConclusionOur review revealed a need for further research on the impact of user-centered design practices on the success of digital mental health interventions in this population. Further, we provide recommendations that researchers/designers in this field of research should take into consideration when designing online mental health interventions for students in higher education. Some of the recommendations include: add personalization; improve user interfaces; take adequate steps to ensure anonymity/privacy/security; include peer engagement; and include access to mental health professionals.

Project description:Students in Higher Education report high levels of mental health issues and psychological distress. Paradoxical findings on performance-orientated students, such as athletes and musicians, suggest that the demands of highly skilled vocations may enhance wellbeing while being detrimental to physical and mental health. To provide timely and appropriate help, institutions need to understand what areas of health and wellbeing are compromised in different student groups. In this study, we compared performance-orientated (music and sport) students to other students and the general population on a selection of wellbeing (WHO5, PWS, and WEMWBS), mental and physical health (K10, SF12, and PHQ9), and trait measures (TIPI, LOT-R, and PCS). Through an online survey (N = 273), data were collected from bachelor and master students (n = 135 music, n = 67 sport, n = 71 controls). Students' scores were compared to the general population, where norm values were available, and analyzed within and between groups. Multiple regression was performed to investigate trait measures as predictors of wellbeing. All groups scored significantly below population norms for wellbeing and mental health. One third were classed as having moderate to severe depression. Musicians scored higher openness to experience than athletes. While sport students showed a highly homogenous within-group profile, music students' scores differed significantly across study courses (e.g., performance and composition). Predictors for wellbeing were: optimism and emotional stability (all students); additionally conscientiousness (sport and music); and perceived competence (music only). As expected, students reported more health and wellbeing issues than general population. Distinct profiles of wellbeing were apparent for performance-orientated students. Results are in line with Self Determination Theory and suggest the need for institutions to embed health and wellbeing into a 'living curriculum' to accommodate the needs of different student groups. The WHO5 emerged as a parsimonious yet sensitive measure for mental health and wellbeing in student populations.

Dataset Information

Mental health and wellbeing of further and higher education students returning to face-to-face learning after Covid-19 restrictions.

Aim

Methods

Results

Conclusions

Publications

Mental health and wellbeing of further and higher education students returning to face-to-face learning after Covid-19 restrictions.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets