Conectar
by Petar Stanimirović, Tea Borozan, Katarina Petrović, Dragan Bjelica, Zorica Mitrović, Marko Mihić, Dejan Petrović, Anđelija Đorđević Tomić
Young people often face uncertainty during the transition from education to work, along with high unemployment and job dissatisfaction, which is addressed in the EU Youth Strategy, highlighting the need for better career support. This study aimed to identify main factors influencing youth career decisions and to develop a decision-making model. Five core constructs were defined through literature review: Dealing with Uncertainty, Risk Preference, Adaptability and Resilience, Education and Support, and Life Satisfaction. Data were collected from 673 engineering students. Regression analysis was used to test the proposed model and hypotheses, while Mann-Whitney and Kruskal-Wallis tests examined group differences. The developed model accounts for 46.2% (R² = 0.462) of the variability in students’ career choices. Adaptability and resilience emerged as the most influential factor (β = 0.557). Certain differences, for specific constructs, were also observed in relation to different groups of family income, gender and extracurricular activity engagement. The model supports more informed career decisions and provides insights that may help improve career guidance and educational policy. The findings also may contribute to bridging theory and practice in career development research. The study is limited by its sample, which included only engineering students from the Republic of Serbia, potentially restricting the generalizability of the results.With the COVID-19 pandemic driving people into social isolation, causing a financial crisis and creating uncertainty, individuals were at an even greater risk of experiencing negative mental health outcomes. Individuals who identify as women living with diabetes mellitus (DM) of low socioeconomic status (SES) are potentially at increased risk of negative mental health outcomes secondary to health-related risks of COVID-19, as well as financial barriers to access to medications and diabetes-care supplies.
The objective of this scoping review is to investigate how the COVID-19 pandemic affected the mental health of those who identify as women living with DM of low SES including the consequences of public health measures put in place to stop the spread of the virus. The review aims to identify what is known about the impact of COVID-19 on this and identify potential areas for further investigation.
The scoping review protocol was developed with guidance from the framework created by Arksey and O’Malley and refinements from the Joanna Briggs Institute and Levac et al published studies employing experimental and correlational designs to collect quantitative and/or qualitative data will be considered. Search strategies were developed for the MEDLINE, Embase and PsycINFO databases to identify relevant sources. Article titles and abstracts will be screened for eligibility by two independent reviewers. Full-text review will be conducted by two reviewers with a third reviewer being included if disagreement must be resolved. Data extraction will be conducted by two reviewers, one extraction and one quality check, and a third will resolve conflict if necessary. Data will be synthesised and reported in a narrative structure that provides a thematic analysis of the currently available literature.
As this is a scoping review, there are no ethical approval requirements. There is to be a full publication of findings and analysis in a peer-reviewed journal.
Marginalised populations—such as racialised groups, low-income individuals, newcomers and those in rural areas—disproportionately experience severe diabetes-related complications, including diabetic foot ulcers, retinopathy and amputations, due to systemic inequities and limited access to care. Although community-based programmes address cultural and accessibility barriers, their isolation from mainstream healthcare systems leads to fragmented care and missed opportunities for early intervention.
Artificial intelligence (AI)-powered technologies can enhance accessibility and personalisation, particularly for underserved populations. However, integrating AI into community settings remains underexplored, with socioethical concerns around inclusion, diversity, equity and accessibility requiring urgent attention.
This realist review aims to examine how, why and under what circumstances AI applications can be effectively integrated into community-based diabetic care for marginalised populations. The review will develop a programme theory to guide ethical, inclusive and effective AI implementation to ensure AI-driven innovations address health disparities and promote culturally sensitive, accessible care for all.
Using the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) extension for Reviews guidelines, this realist review will systematically search MEDLINE, Embase, CINAHL, Cochrane library, Google Scholar and Scopus, alongside grey literature. A two-stage screening process will identify eligible studies, and data extraction will use a developed tool. Synthesis will employ realist logic, analysing relationships between contexts (eg, organisational capacity), mechanisms (eg, AI functionalities) and outcomes (eg, reduced disparities).
Ethics approval is not required for conducting this realist review. Ethics approval will be obtained from the University of Toronto; however, following the completion of the realist review for patients and community members’ engagement to support knowledge mobilisation and dissemination to ensure practical application and reciprocity.
This protocol was registered at PROSPERO (CRD42025636284).
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