Although scholars continue to debate the influence of social media on body image, increased social media use, especially engaging in appearance-related behaviors may be a potential risk factor for body dissatisfaction in adolescents. Little research has investigated how adolescents process appearance-related content and the potential strategies they use to protect body image perceptions on social media. To investigate coping strategies used by adolescents, four qualitative focus groups were conducted with 29 adolescents (23 girls) aged 15–16 years (M = 15.31, SD = 0.47) in mixed-gender Irish secondary schools. Thematic analysis revealed that adolescents employed many different behavioral strategies such as avoiding negative content and selecting positive content. Cognitive processing strategies such as critically evaluating body-related content, psychologically distancing from and positively reframing challenging content were also used, although less frequently. Boys appeared to exhibit greater positive agency over their bodies and social media use and tended to use more active coping styles than girls. Efforts to promote body image on social media such as body positive pages and exposing artificial social media content were considered limited in their effectiveness.

The 'accuracy' of age, blood pressure, clinical features, duration and diabetes (ABCD 2 ) scoring by non-stroke specialists referring patients to a daily Rapid Access Stroke Prevention (RASP) service is unclear, as is the accuracy of ABCD 2 scoring by trainee residents.

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Objectives: This study aimed to identify risk and protective factors for mental health across student cohorts to guide mental health provision. Methods: Cross-sectional data from the My World Survey 2-Post Second Level (MWS2-PSL) were used. The sample consisted of N = 9935 students (18–65 years) from 12 third-level institutions (7 out of 7 universities and 5 out of 14 Institute of Technologies (IoTs)) across Ireland. Key outcomes of interest were depression, anxiety and suicidality. Risk factors included drug/alcohol use, risky sexual behaviours and exposure to stressors. Protective factors included coping strategies, help-seeking, resilience, self-esteem, life satisfaction, optimism and social support. These factors were profiled by degree type (undergraduate, postgraduate taught, postgraduate research), access route, and institution type (IoT, university). Chi-square tests of Independence and one-way ANOVAs compared groups on key risk and protective factors. Results: A total 71% of respondents were female, 85% were aged 23 or under and there was a 2.2% response rate in IoTs versus 10.6% in university students. Undergraduates demonstrated higher levels of depression, anxiety, self-harm and suicidal ideation than postgraduates. Undergraduates showed higher risk and lower protective factors than postgraduates. Students attending Institutes of Technology reported higher levels of depression and anxiety, lower protective and higher risk factors than university students. Conclusion: In this sample of students, undergraduates, especially those attending Institutes of Technology, were at increased risk of mental health difficulties. Findings suggest the need to tailor interventions to meet cohort needs, and consider the differing vulnerabilities and strengths across student cohorts. Due to limitations of this study, such as selection bias, further research is warranted.