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1.
Clin Pract Epidemiol Ment Health ; 20: e17450179271467, 2024.
Article in English | MEDLINE | ID: mdl-38660572

ABSTRACT

Background: Organisational and individual barriers often prevent university students from seeking mental health support. Digital technologies are recognised as effective in managing psychological distress and as a source of health-related information, thus representing useful options to address mental health needs in terms of accessibility and cost-effectiveness. However, university students' experiences and perspectives towards such interventions are little known. Objectives: We thus aimed to expand the existing base of scientific knowledge, focusing on this special population. Methods: Data were from the qualitative component of "the CAMPUS study", longitudinally assessing the mental health of students at the University of Milano-Bicocca (Italy) and the University of Surrey (UK). We conducted in-depth interviews and thematically analysed the transcripts using the framework approach. Results: An explanatory model was derived from five themes identified across 33 interviews (15 for Italy, 18 for the UK). Students perceived that social media, apps, and podcasts could deliver relevant mental health content, ranging from primary to tertiary prevention. Wide availability and anonymity were perceived as advantages that make tools suitable for preventive interventions, to reduce mental health stigma, and as an extension of standard treatment. These goals can be hindered by disadvantages, namely lower efficacy compared to face-to-face contact, lack of personalisation, and problematic engagement. Individual and cultural specificities might influence awareness and perspectives on the use of digital technologies for mental health support. Conclusion: Although considering some specific features, digital tools could be a useful instrument to support the mental health needs of students. Since personal contact remains crucial, digital tools should be integrated with face-to-face interventions through a multi-modal approach.

2.
J Psychopharmacol ; 35(12): 1464-1472, 2021 12.
Article in English | MEDLINE | ID: mdl-34697970

ABSTRACT

BACKGROUND: Depression and low mood are leading contributors to disability worldwide. Research indicates that clinical depression may be associated with low creatine concentrations in the brain and low prefrontal grey matter volume. Because subclinical depression also contributes to difficulties in day-to-day life, understanding the neural mechanisms of depressive symptoms in all individuals, even at a subclinical level, may aid public health. METHODS: Eighty-four young adult participants completed the Depression, Anxiety and Stress Scale (DASS) to quantify severity of depression, anxiety and stress, and underwent 1H-Magnetic Resonance Spectroscopy of the medial prefrontal cortex and structural magnetic resonance imaging (MRI) to determine whole-brain grey matter volume. RESULTS/OUTCOMES: DASS depression scores were negatively associated (a) with concentrations of creatine (but not other metabolites) in the prefrontal cortex and (b) with grey matter volume in the right superior medial frontal gyrus. Medial prefrontal creatine concentrations and right superior medial frontal grey matter volume were positively correlated. DASS anxiety and DASS stress scores were not related to prefrontal metabolite concentrations or whole-brain grey matter volume. CONCLUSIONS/INTERPRETATIONS: This study provides preliminary evidence from a representative group of individuals who exhibit a range of depression levels that prefrontal creatine and grey matter volume are negatively associated with depression. While future research is needed to fully understand this relationship, these results provide support for previous findings, which indicate that increasing creatine concentrations in the prefrontal cortex may improve mood and well-being.


Subject(s)
Creatine/metabolism , Depression/metabolism , Depression/pathology , Gray Matter/pathology , Prefrontal Cortex/metabolism , Adolescent , Adult , Depression/diagnostic imaging , Female , Gray Matter/diagnostic imaging , Humans , Magnetic Resonance Imaging , Male , Prefrontal Cortex/diagnostic imaging , Proton Magnetic Resonance Spectroscopy , Severity of Illness Index , Young Adult
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