Evidence map›Paper›PMID 39544870›Full record

ArticleIranian journal of public health2024

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

Natalija Djurovic, Snezana Radovanovic, Olgica Mihaljevic, Jovana Radovanovic, Milos Stepovic, Marija Kovacevic, Katarina Janicijevic, Gordana Djordjevic, Ognjen Djordjevic, Gordana Gajovic and 6 more

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Article in Iranian journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Natalija DjurovicFaculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Snezana RadovanovicDepartment of Social Medicine, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Olgica MihaljevicDepartment of Pathophysiology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Jovana RadovanovicDepartment of Epidemiology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Milos StepovicDepartment of Anatomy, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Marija KovacevicDepartment of Anatomy, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Katarina JanicijevicDepartment of Social Medicine, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Gordana DjordjevicDepartment of Epidemiology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Ognjen DjordjevicDepartment of Epidemiology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Gordana GajovicHealth Center Arandjelovac, Arandjelovac, Serbia.
Nela DjonovicInstitute for Public Health Kragujevac, Kragujevac, Serbia.
Tamara DimovicInstitute for Public Health Kragujevac, Kragujevac, Serbia.
Nikoleta JanicijevicDepartment of Hygiene and Ecology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Milena MaricicThe College of Health Sciences, Academy of Applied Studies Belgrade, Belgrade, Serbia.
Dragan VasiljevicDepartment of Hygiene and Ecology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Viktor SelakovicDepartment of Communication Skills, Ethics and Psychology, Faculty of Medical Sciences, University Kragujevac, Kragujevac, Saerbi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Elderly populationNational surveyRepublic of SerbiaSocial support

Identifiers

PMID39544870
PMCPMC11557748

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