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1.
Front Public Health ; 12: 1373877, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-39091536

RESUMEN

Objectives: The aim of this paper is to assess the relationship between demographic and socioeconomic predictors and the unmet health needs of the older adult population in Serbia. Materials and methods: The study is part of the Population Health Survey of Serbia, which was conducted in the period from October to December 2019 by the Institute for Public Health of Serbia "Dr. Milan Jovanovic Batut" and the Ministry of Health of the Republic of Serbia. The research was conducted on a representative sample of Serbian residents in the form of a cross-sectional study. For the purposes of this research study, data on senior citizens, aged 65 and older, were used. Results: Multivariate regression analysis of demographic characteristics that showed statistical significance in the univariate model as a whole explains between 4.2% (Cox & Snell R Square) and 5.9% (Nagelkerke R Square) of the variance of unmet health needs and correctly classifies 66.3% cases. Statistically significant demographic predictors were the region where the respondents live, level of education, and material condition. The results of the research show that the most dominant predictors of the unmet health needs of the older adult population are related to socioeconomic inequalities, financial reasons, and predictors related to the inaccessibility of health care. Conclusion: The results suggest that individual socioeconomic predictors have a great influence on the emergence of unmet health needs of the older adult population in Serbia. Every third older adult resident did not receive the necessary health care, most often due to financial constraints.


Asunto(s)
Necesidades y Demandas de Servicios de Salud , Factores Socioeconómicos , Humanos , Serbia , Anciano , Femenino , Masculino , Estudios Transversales , Necesidades y Demandas de Servicios de Salud/estadística & datos numéricos , Anciano de 80 o más Años , Encuestas Epidemiológicas , Disparidades en Atención de Salud/estadística & datos numéricos , Accesibilidad a los Servicios de Salud/estadística & datos numéricos
2.
Front Public Health ; 12: 1384056, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-39050609

RESUMEN

The aim of this study was to investigate how sociodemographic and health factors contribute cognitive abilities in the older population of the Republic of Serbia, using data from the 2019 national health survey. The study included 3,743 participants, of whom 2,061 (55.1%) were women and 1,682 (44.9%) were men. The median age of all participants was 72 (10) years. Study used logistic regression on cross-sectional data to analyze how education, social support, and healthcare access affect cognitive abilities, while adjusting for demographic variables. The results revealed negative associations between higher levels of education and lower odds of experiencing memory and concentration problems, while recent visits to specialists were positively associated with increased risk for the same. The highest percentage of participants (22.6%) reporting major difficulties in memory and concentration were in the age group of 85-89 years (p < 0.001). A statistically significant relationship was found between social support and issues related to memory and concentration (p < 0.001). Social support emerged as a significant factor in preserving cognitive abilities. The discussion underscores the need for a comprehensive approach in promoting cognitive health, taking into account education, social integration, and access to healthcare as key factors. The study acknowledges its limitations, including its cross-sectional nature and potential subjective biases in self-assessment of cognitive abilities. Future research should incorporate longitudinal studies and more objective measures of cognitive abilities.


Asunto(s)
Cognición , Apoyo Social , Humanos , Femenino , Masculino , Anciano , Serbia , Estudios Transversales , Anciano de 80 o más Años , Persona de Mediana Edad , Factores Sociodemográficos , Encuestas Epidemiológicas , Estado de Salud , Accesibilidad a los Servicios de Salud/estadística & datos numéricos
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