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Types and Sources of Social Support Accessible to University Students with Disabilities in Saudi Arabia during the COVID-19 Pandemic.

Ahmed A AhmedAli A AlmishaalSehar Un Nisa HassanReham M KamelMohammed Raafat M AtteyaSofian T ObeidatHesham S AbdelmaguidAbdullah A AlanaziLiza Mendizabal VillacorteFahad Dhafer Algahtani
Published in: Healthcare (Basel, Switzerland) (2023)
University students with disabilities face an increased risk of experiencing negative implications in educational, psychological, and social spheres during the COVID-19 pandemic. This study aimed at assessing various dimensions of social support and its sources during the COVID-19 pandemic that availed university students with disabilities. This cross-sectional descriptive study collected data from 53 university students with disabilities. We administered the Social Support Scale (SSC) to assess five dimensions: informational, emotional, esteem, social integration and tangible support, and access to social support from four sources: family, friends, teachers, and colleagues. Multiple regression analysis showed that university students with disabilities mainly relied upon their friends for informational support (β = 0.64; p < 0.001), emotional support (β = 0.52; p < 0.001), and social integration support (β = 0.57; p < 0.001). Family members (β = 0.406; p < 0.01) and colleagues (β = 0.36; p < 0.01) provided esteem support to students with disabilities. Support from teachers demonstrated an association with informational support (β = 0.24; p < 0.05). The findings from the current study suggest that students with disabilities primarily sought informational, emotional, and social integration support from their peers. Although teachers were the primary source of informational support, emotional and esteem support were not found to be significantly associated with them. These findings necessitate exploring the underlying factors and how to enhance them during unusual circumstances such as online distance education and social distancing.
Keyphrases
  • social support
  • depressive symptoms
  • healthcare
  • mental health
  • cross sectional
  • social media
  • big data
  • artificial intelligence