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Recent research has established that the correlation between diabetes and depression remains consistent across various European nations, particularly among individuals over the age of 50. This study, which analyzed data from 18 countries, was presented at the Annual Meeting of the European Association for the Study of Diabetes (EASD) held in Vienna, Austria.
The findings indicate that the likelihood of developing severe depressive symptoms in individuals with diabetes--and vice versa--does not significantly vary based on geographic location. Previous studies suggested that the strength of this relationship can be influenced by the quality of diabetes care available within a country. Notably, the new research conducted by Jaroslav Gottfried from University College Dublin and his team investigated a wide array of factors that could affect this association, ranging from national wealth disparities to lifestyle choices such as smoking.
Dr. Gottfried emphasized the importance of understanding these influencing factors, which would allow healthcare professionals and policymakers to identify individuals most vulnerable to developing either condition. This targeted approach could eventually lead to the development of preventative measures aimed at reducing the incidence of both diabetes and depression.
The team utilized data from three significant longitudinal studies: the English Longitudinal Study on Aging, the Irish Longitudinal Study on Aging, and the Survey on Health, Aging, and Retirement in Europe. This comprehensive analysis included over 45,000 participants aged 50 and older, with a follow-up period extending up to 11 years. Among these participants, approximately 20% hailed from Ireland and the UK.
Key determinants at the country level that were examined include the quality of diabetes healthcare, financial resources allocated to diabetes care, poverty risk, gender inequality, and wealth disparity. Individual-level factors such as age, gender, body mass index (BMI), smoking habits, and physical activity levels were also evaluated, along with participants' diabetes diagnoses and depression symptom scores.
Austria served as a comparative baseline in the study. Findings revealed that the prevalence of developing diabetes varied significantly by country, with the Netherlands exhibiting the lowest odds, while Portugal had the highest. In terms of depressive symptoms, Denmark reported the lowest odds, contrasting sharply with Italy, which had the highest.
Despite these variations in diabetes and depression rates among countries, the study found that the relationship between the two conditions was notably similar across all countries considered. Individuals with high depressive symptoms were found to have a 15% increased risk of developing diabetes, while those diagnosed with diabetes faced a 48% increased risk of experiencing high depressive symptoms.
Researchers noted that while various factors affected the risk of developing either condition, only BMI appeared to influence the connection between diabetes and depression. Specifically, each one-point increase in BMI among individuals with diabetes correlated with a 2.1% rise in their likelihood of experiencing high depressive symptoms, compared to a 1.3% increase for those without diabetes.
Interestingly, this study's results diverged from previous research, which indicated that the quality of diabetes care could modify the diabetes-depression link. This discrepancy may arise from the differing populations under examination, as well as the longitudinal nature of this study compared to earlier cross-sectional studies that assessed conditions at a single point in time.
In conclusion, the research highlights that the association between diabetes and depressive symptoms is largely uniform across various European nations, irrespective of healthcare quality or socioeconomic factors. Consequently, strategies developed to mitigate the risk of one condition leading to the other in one country may also be applicable in different settings throughout Europe.
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