Determination of physical activity, sedentary time and mental wellbeing in 1st year postgraduate research students at the University of Glasgow: a mixed methods approach
Notice bibliographique
Résumé
University is a time associated with several life changes and represents a key time for development and maintenance of healthy lifestyle behaviours (Trost et al., 2002). Current research shows university students are highly inactive, sedentary and have poor mental health (El Ansari et al., 2011; Moulin and Irwin, 2017; Hunt and Eisenberg, 2010). However, most of this research has been conducted on undergraduate student samples. Therefore, there is a lack of research on physical activity (PA), sedentary time (ST) and mental wellbeing (MWB) in postgraduate students, particularly postgraduate research (PGR) student samples who have distinct needs and challenges. A systematic review on graduate students’ PA, ST, mental health (MH)/MWB, perceptions of PA, exercise and sport, perceived barriers to PA, benefits of PA and motivations for PA was conducted. From 187 papers identified, 25 studies were included for review. Currently, there is a distinct lack of research for PA, ST and MWB in United Kingdom (UK) graduate students. Therefore, the aims of this study were to examine PA, ST and MWB in UK PGR students, the relationship between these variables and to understand underlying perceptions of PA, exercise and sport; perceived barriers to PA; perceived benefits of PA and motivations for PA in UK PGR students. This study utilised a mixed methods approach. First year PGR students (n=100) registered at the University of Glasgow (UofG) completed an online questionnaire which assessed demographic characteristics, subjectively assessed PA and ST (International Physical Activity Questionnaire (IPAQ)) and MWB (Warwick Edinburgh Mental Wellbeing Scale (WEMWBS)). A sub-cohort (n=20) had PA and ST objectively assessed over 7 days via a hip-worn ActiGraph GT3X accelerometer. From this sub-cohort, PGR students (n=6) volunteered to participate in qualitative focus groups to assess 1st year PGR students’ perceptions of PA, exercise and sport; perceived barriers to PA; perceived benefits of PA and motivations for PA. First year PGR students self-reported being physically active (median moderate vigorous physical activity (MVPA) 195 ± 225 minutes/week, 62.9% meeting PA guidelines (PAG)) yet highly sedentary (median 8 ± 4 hours/day sitting time). In terms of MWB, PGR students reported moderate levels of MWB (48 ± 13 WEMWBS score). The randomised sub-cohort of PGR students who had PA and ST objectively assessed were also physically active yet sedentary (highly active: ActiGraph GT3X estimated MVPA 554.3 ± 187.1 minutes/week, 100% meeting PAG; highly sedentary: 9.6 ± 1.4 hours/day sedentary). No significant correlations between PA, ST and MWB or PA, ST and PGR study time were found. However, a significant weak inverse correlation was found between MWB and PGR study time (rs= -0.242, p=0.015). Qualitative research identified PGR students’ perceptions of PA, sports and exercise. The top perceived barriers to PA were a lack of information and/or awareness of opportunities, undergraduate focused PA opportunities, PGR studies and barriers specific to UofG Sport gym facilities. Whilst the most common perceived benefits of PA were the positive impact of PA on mental and physical health and PGR students’ study/work life. Balancing out unhealthy eating habits, health benefits, PGR study/work benefits and image were identified as the most commonly cited motivations for PA. This PGR student cohort (n=100) were active (met PAG), had a high ST with no significant associations between PA, ST and MWB. On the basis of existing literature, it is likely that despite being physically active, PGR students’ high ST is associated with an increased risk of negative physical and mental health outcomes and non-communicable diseases (Biswas et al., 2015; Owen et al., 2010; Owen, 2012; Atkin et al., 2012; Gibson et al., 2017). Therefore, there should be an integrated approach across the UofG to address this high ST and consider ways to reduce ST. This could be through identification of determinants of ST in the PGR population, changes to the built environment and dissemination of information on the benefits of MVPA, risks of ST, relevant opportunities and strategies to increase PA and decrease ST. An interesting finding was the weak yet significant inverse correlation between MWB and PGR study time with steps needing to be taken to address this.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».