Cross-national characteristics and differences in type 2 diabetes: Malta versus Luxembourg

Abstract Introduction Type 2 diabetes mellitus (T2DM) is a significant global health concern, requiring a thorough understanding of its population-level features and impact. This study aims to compare the characteristics of T2DM in Malta and Luxembourg, two European nations with distinctive healthcare systems and societal attributes. Methods Data from national health surveys conducted in Malta and Luxembourg, encompassing various factors such as socio-demographics, medical history, biochemical metrics, and anthropometric measurements, were analysed to investigate the features of T2DM. Comparative analyses were conducted utilizing chi-square tests, independent t-tests, and multivariable binary regression. Results Malta (8.23%) and Luxembourg (7.82%) shared similar T2DM prevalence, with a predominance of men having T2DM. Malta exhibited a higher prevalence of obesity among the individuals having T2DM. Multivariable analysis showed no significant association between living in Malta or Luxembourg and diabetes. However, being male (OR: 1.49, CI 95%: 1.07–2.08, p = 0.02), an occasional smoker (OR: 2.49, CI 95%: 1.54–4.03, p < 0.01), increasing age (OR: 1.05, CI 95%: 1.03–1.67), and larger waist circumference (OR: 1.02, CI 95%: 1.01–1.04, p = 0.01) were positively associated with diabetes. Conclusions Understanding similarities and differences in T2DM between Malta and Luxembourg is crucial for identifying common challenges to formulate effective prevention and management strategies. Despite similar T2DM prevalence rates, notable differences in obesity rates and socioeconomic factors may contribute to disparities in disease burden. The complex interplay of numerous population characteristics underscores the importance of tailored public health interventions. This study accentuates the need for interventions and evidence-based policies to address modifiable risk factors, and advocate for cross-national cooperation to reduce the T2DM epidemic, especially in the context of post-COVID public health planning and resource allocation. Key messages • Malta and Luxembourg share similar T2DM prevalence despite differences in other factors, hypothesised to be attributed to differences in risk factor profiles and health care infrastructure. • This study underscores the necessity for tailored interventions and cross-national cooperation to address common challenges in T2DM management in the two small countries.

Authors

Institutions

Publication Details

Journal
European Journal of Public Health
Published
2024-10-28
DOI
https://doi.org/10.1093/eurpub/ckae144.218
Primary Topic
Health Promotion and Cardiovascular Prevention
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cross-national characteristics and differences in type 2 diabetes: Malta versus Luxembourg

María Ruiz‐Castell, Hanen Samouda, Sarah Cuschieri, Andrea Cuschieri et al.
European Journal of Public Health
Health Promotion and Cardiovascular Prevention
article

Cross-national characteristics and differences in type 2 diabetes: Malta versus Luxembourg

María Ruiz‐Castell, Hanen Samouda, Sarah Cuschieri, Andrea Cuschieri, E. Grech
article en

Abstract

Abstract Introduction Type 2 diabetes mellitus (T2DM) is a significant global health concern, requiring a thorough understanding of its population-level features and impact. This study aims to compare the characteristics of T2DM in Malta and Luxembourg, two European nations with distinctive healthcare systems and societal attributes. Methods Data from national health surveys conducted in Malta and Luxembourg, encompassing various factors such as socio-demographics, medical history, biochemical metrics, and anthropometric measurements, were analysed to investigate the features of T2DM. Comparative analyses were conducted utilizing chi-square tests, independent t-tests, and multivariable binary regression. Results Malta (8.23%) and Luxembourg (7.82%) shared similar T2DM prevalence, with a predominance of men having T2DM. Malta exhibited a higher prevalence of obesity among the individuals having T2DM. Multivariable analysis showed no significant association between living in Malta or Luxembourg and diabetes. However, being male (OR: 1.49, CI 95%: 1.07–2.08, p = 0.02), an occasional smoker (OR: 2.49, CI 95%: 1.54–4.03, p < 0.01), increasing age (OR: 1.05, CI 95%: 1.03–1.67), and larger waist circumference (OR: 1.02, CI 95%: 1.01–1.04, p = 0.01) were positively associated with diabetes. Conclusions Understanding similarities and differences in T2DM between Malta and Luxembourg is crucial for identifying common challenges to formulate effective prevention and management strategies. Despite similar T2DM prevalence rates, notable differences in obesity rates and socioeconomic factors may contribute to disparities in disease burden. The complex interplay of numerous population characteristics underscores the importance of tailored public health interventions. This study accentuates the need for interventions and evidence-based policies to address modifiable risk factors, and advocate for cross-national cooperation to reduce the T2DM epidemic, especially in the context of post-COVID public health planning and resource allocation. Key messages • Malta and Luxembourg share similar T2DM prevalence despite differences in other factors, hypothesised to be attributed to differences in risk factor profiles and health care infrastructure. • This study underscores the necessity for tailored interventions and cross-national cooperation to address common challenges in T2DM management in the two small countries.

European Journal of Public HealthVol. 34(Supplement_3)
University of Malta (MT), Mater Dei Hospital (MT), Luxembourg Institute of Health (LU), Luxembourg Institute of Socio-Economic Research (LU)
Good health and well-being
Openalex Percentile: Top 71%
Health Promotion and Cardiovascular Prevention
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.