Influence of Health Status on the Association Between Diabetes and Depression Among Adults in Europe: Findings From the SHARE International Survey

Depression, anxiety, and health-related quality of life in normal weight, overweight and obese individuals with diabetes: a representative study in Germany

OBJECTIVE

Diabetes in the course of lifetime is related to a higher risk for mental disorders. The present study addresses the comparison of individuals with diabetes and non-diabetic individuals in depressive symptoms, generalized anxiety symptoms, and health-related quality of life. Furthermore, mediator effect of BMI and health-related quality of life (HRQOL) on the association between diabetes, depression, and generalized anxiety was analyzed.

METHODS

In this cross-sectional study, the three questionnaires PHQ-9, GAD-7, EQ-5D-5L were measured in a representative sample of the German population (N = 2386). In addition, the presence of diabetes and BMI were assessed via self-report.

RESULTS

There were higher values in depressive and anxiety symptoms as well as lower score in HRQOL in individuals with diabetes compared to non-diabetic individuals. Obese individuals with diabetes showed the highest rates in depressive symptoms and generalized anxiety as well as lowest score in HRQOL. With regard to the mediator analyses, association between diabetes, depressive symptoms, and anxiety symptoms is partially mediated by the BMI and fully mediated by the HRQOL.

CONCLUSIONS

In conclusion, individuals with diabetes have an increased risk in the development of depressive and anxiety symptoms as well as lower health-related quality of life. Future research and strategies in the public health policies among individuals with diabetes should take into account that the association between diabetes, depression, and anxiety is mediated by BMI and HRQOL.

Active ageing in Europe: are changes in social capital associated with engagement, initiation and maintenance of activity in later life?

The demographic landscape of European countries is rapidly changing because of population ageing; in this context, societies are called to offer older people opportunities to age actively. Although ‘active ageing’ has been broadly explored, there is still room to further our knowledge on the individual conditions that may favour or hinder activity in later life. This study aims to contribute to the literature in this field by focusing on the role of social capital. Specifically, it explores, through logistic regression models, how social capital and changes in social capital are associated with engagement in, the initiation of and continued participation in various domains of activity: volunteering and charity work, active participation in political or community-related organisations, informal care-giving and paid work. The data analysed stem from the Survey of Health, Ageing and Retirement in Europe (SHARE). We focused on people aged 55+ participating in Waves 4–6. The key findings are: (a) having a larger social network is positively associated with participation in and the initiation of activities; (b) receiving social support (rarely) may stimulate reciprocity and thus care-giving; and (c) an increase in social network size is positively associated with initiation and maintenance of activities during later life.

Regional differences in diabetes across Europe - regression and causal forest analyses

We examine regional differences in diabetes within Europe, and relate them to variations in socio-economic conditions, comorbidities, health behaviour and diabetes management. We use the SHARE (Survey of Health, Ageing and Retirement in Europe) data of 15 European countries and 28,454 individuals, who participated both in the 4th and 7th (year 2011 and 2017) waves of the survey. First, we estimate multivariate regressions, where the outcome variables are diabetes prevalence, diabetes incidence, and weight loss due to diet as an indicator of management. Second, we study the heterogeneous impact of demographic, socio-economic, health and lifestyle indicators on the regional differences in diabetes incidence with causal random forests. Compared to Western Europe, the odds of a new diabetes diagnosis over a six-year horizon is 2.2-fold higher in Southern and 2.6-fold higher in Eastern Europe. Adjusting for individual characteristics, the odds ratio decreases to 1.8 in the South-West and to 2.0 in the East-West dimension. These remaining differences are mostly explained by country-specific healthcare indicators. Based on the causal forest approach, the adjusted East-West difference is essentially zero for the lowest risk groups (tertiary education, employment, no hypertension, no overweight) and increases substantially with these risk factors, but the South-West difference is much less heterogeneous. The prevalence of diet-related weight loss around the time of diagnosis also exhibits regional variation. The results suggest that the regional differences in diabetes incidence could be reduced by putting more emphasis on diabetes prevention among high-risk individuals in Eastern and Southern Europe.

Depression, anxiety and health status across different BMI classes: A representative study in Germany

BACKGROUND

Changes in body mass index (BMI) over the course of one's lifetime are related to the development of mental disorders. In the current study we compared symptoms of depression, generalized anxiety as well as general health status in the four BMI-classes: underweight, normal weight, overweight and obesity. Furthermore, mediator role of general health status on the relationship between BMI and depression and generalized anxiety was analyzed.

METHODS

A representative sample (random-route sampling) of the German population (N = 2350) was investigated in a cross-sectional survey by measuring the three questionnaires PHQ-9, GAD-7 and EQ-5D-5L.

RESULTS

The results showed significant differences between the four BMI-classes in all three questionnaires. Individuals with obesity demonstrated higher values in depression, anxiety and general health compared to the three other BMI-classes. However, there was no U-shaped association between BMI and depression, anxiety and health-related quality of life. Regarding to the mediation analysis, general health status fully mediated the association between BMI, depressive symptoms as well as generalized anxiety symptoms.

LIMITATIONS

The assessment of the three factors depression, anxiety and general health status were measured by questionnaires, but no clinical diagnoses can be provided.

CONCLUSIONS

Evidence supports that individuals with obesity have an increased risk for depression and anxiety as well as lower general health. Further research on potential intervention and strategies in public health policies is needed to be able to target the developing of mental disorders in individuals with obesity. Taking their general health status into account is also of great importance.