Socioeconomic and Health Characteristics as Predictors of Social Support in Elderly People with Visual Impairment: Evidence from Serbia

  • Natalija Djurovic Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
  • Snezana Radovanovic Department of Social Medicine, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
  • Olgica Mihaljevic Department of Pathophysiology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
  • Jovana Radovanovic Department of Epidemiology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
  • Milos Stepovic Department of Anatomy, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
  • Marija Kovacevic Department of Anatomy, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
  • Katarina Janicijevic Department of Social Medicine, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
  • Gordana Djordjevic Department of Epidemiology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
  • Ognjen Djordjevic Department of Epidemiology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
  • Gordana Gajovic Health Center Arandjelovac, Arandjelovac, Serbia
  • Nela Djonovic Institute for Public Health Kragujevac, Kragujevac, Serbia
  • Tamara Dimovic Institute for Public Health Kragujevac, Kragujevac, Serbia
  • Nikoleta Janicijevic Department of Hygiene and Ecology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
  • Milena Maricic The College of Health Sciences, Academy of Applied Studies Belgrade, Belgrade, Serbia
  • Dragan Vasiljevic Department of Hygiene and Ecology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
  • Viktor Selakovic Department of Communication Skills, Ethics and Psychology, Faculty of Medical Sciences, University Kragujevac, Kragujevac, Saerbi
Keywords: Social support; Elderly population; National survey; Republic of Serbia

Abstract

Background: Social networks and support have an independent and strong influence on health and quality of life at all stages of the life cycle, especially in the elderly. We aimed to determine the level of social support among the elderly population of the Republic of Serbia.

Methods: The survey is part of the fourth Health survey of the population of Serbia, which was conducted in 2019  by the Republic Institute of Statistics with the Institute for Public Health of Serbia "Dr. Milan Jovanović Batut" and the Ministry of Health of the Republic of Serbia. The research instrument was standardized questionnaires constructed in accordance with the European Health Interview Survey (EHIS, wave3) and the social support score (Oslo-3 Social Support Scale). For the purposes of this research, data on the population aged 65 and over were used.

Results: In terms of social support, 85.8% of respondents had bad , 13.9% moderate and 0.3% strong. Univariate regression analysis determined that respondents from the territory of Vojvodina had a 1.6 times higher chance of poor social support compared to respondents from southern and eastern Serbia.  The probability of bad social support was 1.5 times higher in persons who were never married/cohabiting, persons with secondary education were at 1.6 times higher risk of poor social support compared to persons with higher education. Inactive persons had poor social support 1.4 times more often than employed persons, as well as persons with comorbidities (OR=1.218).

Conclusion: These researches are of great importance for public health because it provides valuable data for the creation of interventions that will intensify activities related to providing adequate social support to the elderly.

Published
2024-10-15
Section
Articles