Sociodemographic Disparities and Prevalence of Type 2 Diabetes Multimorbidities in Serbia

Abstract Introduction In many countries, including low- and middle-income nations, the prevalence of diabetes is on the rise. Type 2 Diabetes Mellitus (T2DM) is frequently accompanied by the presence of one or more long-term conditions (LTCs), however, their link to patients’ socioeconomic traits remains unclear in many LMICs, particularly in the Western Balkans. Thus, our objective was to investigate the risk for the development of T2DM and one or more LTCs in Serbia among different sociodemographic population groups. Methods We conducted a secondary analysis of data from the National Health Surveys of 2013 and 2019, focusing on individuals aged 45 and above. Utilizing multinomial logistic regression models, we explored the relative risk ratios (RRRs), along with 95% confidence intervals (CI) and predicted probabilities, to examine the sociodemographic characteristics of participants across various disease groups, distinguishing between those with and without T2DM and one or more LTCs. Results The prevalence rates for comorbidities and multimorbidities of T2DM were 8.8% and 29.5%, respectively. In 2019, compared to 2013, there was a rise in the prevalence of T2DM and 1 LTC for 9.4%, and decrease in the prevalence of T2DM and 2 or more LTCs for 6,9%. Most commonly, T2DM was associated with stroke, myocardial infarction, and liver cirrhosis. The highest risk for T2DM and 1 LTC was observed for females in the most disadvantaged fifth quintile of the wealth index (RRR 1.83, 95% CI 1.09-3.07, p = 0.022) compared to those in the most advantaged first quintile. Conclusions Socio-economic inequalities contribute to the risk of developing LTCs in Serbia, which must be considered in the early detection and management of diseases and addressed by innovative service models. Similar studies should be conducted in the wider region to explore the feasibility of larger joint research initiatives. Key messages • There are socio-economic disparities in the co-occurrence of Type 2 Diabetes Mellitus and long-term conditions in Serbia, where deprived women of older age are most at risk. • Innovative approaches in the early identification of populations at risk for multimorbidities can help in disease management and timely prevention of complications.

Authors

Institutions

Publication Details

Journal
European Journal of Public Health
Published
2024-10-28
DOI
https://doi.org/10.1093/eurpub/ckae144.1345
Primary Topic
Chronic Disease Management Strategies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sociodemographic Disparities and Prevalence of Type 2 Diabetes Multimorbidities in Serbia

Vasa Ćurčin, Jovana Todorović, Milena M Santric-Milicevic, Divya Parmar et al.
European Journal of Public Health
Chronic Disease Management Strategies
article

Sociodemographic Disparities and Prevalence of Type 2 Diabetes Multimorbidities in Serbia

Vasa Ćurčin, Jovana Todorović, Milena M Santric-Milicevic, Divya Parmar, Seeromanie Harding, Salma A. Ayis, Bosiljka Djikanović, Janko Janković, Branko Marović
article en

Abstract

Abstract Introduction In many countries, including low- and middle-income nations, the prevalence of diabetes is on the rise. Type 2 Diabetes Mellitus (T2DM) is frequently accompanied by the presence of one or more long-term conditions (LTCs), however, their link to patients’ socioeconomic traits remains unclear in many LMICs, particularly in the Western Balkans. Thus, our objective was to investigate the risk for the development of T2DM and one or more LTCs in Serbia among different sociodemographic population groups. Methods We conducted a secondary analysis of data from the National Health Surveys of 2013 and 2019, focusing on individuals aged 45 and above. Utilizing multinomial logistic regression models, we explored the relative risk ratios (RRRs), along with 95% confidence intervals (CI) and predicted probabilities, to examine the sociodemographic characteristics of participants across various disease groups, distinguishing between those with and without T2DM and one or more LTCs. Results The prevalence rates for comorbidities and multimorbidities of T2DM were 8.8% and 29.5%, respectively. In 2019, compared to 2013, there was a rise in the prevalence of T2DM and 1 LTC for 9.4%, and decrease in the prevalence of T2DM and 2 or more LTCs for 6,9%. Most commonly, T2DM was associated with stroke, myocardial infarction, and liver cirrhosis. The highest risk for T2DM and 1 LTC was observed for females in the most disadvantaged fifth quintile of the wealth index (RRR 1.83, 95% CI 1.09-3.07, p = 0.022) compared to those in the most advantaged first quintile. Conclusions Socio-economic inequalities contribute to the risk of developing LTCs in Serbia, which must be considered in the early detection and management of diseases and addressed by innovative service models. Similar studies should be conducted in the wider region to explore the feasibility of larger joint research initiatives. Key messages • There are socio-economic disparities in the co-occurrence of Type 2 Diabetes Mellitus and long-term conditions in Serbia, where deprived women of older age are most at risk. • Innovative approaches in the early identification of populations at risk for multimorbidities can help in disease management and timely prevention of complications.

European Journal of Public HealthVol. 34(Supplement_3)
King's College London (GB), University of Belgrade (RS)
No poverty
Openalex Percentile: Top 71%
Chronic Disease Management Strategies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.