Association of Physical Activity and Sleep Metrics with Depression in People with Type 1 Diabetes

Objective

This study aimed to investigate the association of physical activity and sleep metrics, measured via wrist-worn accelerometers, with depression in people with type 1 diabetes.

Patients and Methods

People with type 1 diabetes were recruited from the Dasman Diabetes Institute in Kuwait and were invited to wear a wrist-worn accelerometer device for 7 days. Mean physical activity (overall acceleration), inactivity, light activity, moderate activity, vigorous activity, the distribution of physical activity intensity (intensity gradient), sleep duration and sleep efficiency were quantified from the accelerometer data. The associations of these metrics with depression were investigated using multiple linear regression.

Results

A total of 551 people with type 1 diabetes (age 33.1 (9.5) years) were included. Overall physical activity (B = -0.09, CI = -0.14 to -0.04), moderate intensity activity (B = -0.02, CI = -0.02 to -0.01), vigorous intensity activity (B = -0.16, CI = -0.27 to -0.05), and the intensity gradient (B = -2.11, CI = -3.51 to -0.72) were negatively associated with depression score (p < 0.01) and these associations remain significant even after adjustment for age, sex, diabetes duration, and BMI. However, sleep duration and efficiency were not associated with depression. After mutual adjustment overall physical activity (B = -0.07, CI = -0.12 to -0.01), but not the intensity gradient (B = -0.90, CI = -2.47 to 0.68), remained associated with depression.

Conclusion

Overall, moderate and vigorous physical activity, and the intensity gradient were associated with lower symptoms of depression. Overall physical activity, rather than the distribution of activity intensity, appears more important in depression. This information can help guide physical activity interventions to improve depression in people with type 1 diabetes.

14-Year Longitudinal Trajectories of Depressive Symptoms Among Youth With and Without Type 1 Diabetes

OBJECTIVE

There is evidence that youth with type 1 diabetes are at risk for depression, and depression is a significant risk factor for subsequent psychological and physical health problems. However, it is not clear if/when this depression risk emerges. The goal of this study was to determine if there are differences in levels of depressive symptoms between youth with and without type 1 diabetes that develop over the course of emerging adulthood. We also examined whether adolescent psychosocial variables predicted depressive symptoms during emerging adulthood.

METHODS

Youth with (n = 132) and without (n = 131) type 1 diabetes were enrolled in the study at average age 12 and followed for 14 years. Depressive symptoms were measured throughout the study. Psychosocial variables of interest were measured during adolescence.

RESULTS

Group differences in depressive symptoms emerged by study end at average age 26. Depressive symptoms appeared to decline over time for youth without diabetes and to increase over time for youth with diabetes. Parent relationship difficulties increased over adolescence as did peer conflict for the entire cohort. Supportive relationships with parent and peers predicted fewer end of study depressive symptoms (controlling for baseline depressive symptoms)-equally so for both groups.

CONCLUSIONS

This study provides evidence that those with type 1 diabetes may be at risk for depressive symptoms many years after diagnosis and after adolescence. Although relational difficulties with parents and peers increase during adolescence, supportive relationships over the course of adolescence may help to mitigate depressive symptoms during young adulthood.

Depression in Diabetic Patients: What Is the Link With Eating Disorders? Results of a Study in a Representative Sample of Patients With Type 1 Diabetes

Background and Purpose

Comorbidity between diabetes and depression, and diabetes and eating disorders (ED) conveys significant diagnostic, clinical and therapeutic implications. The present study was conducted on a sample of adult outpatients affected by Type 1 Diabetes (T1DM) to assess lifetime prevalence of ED; current prevalence of depression and Disturbed Eating Behaviors (DEB) and their impact on glycemic control. We hypothesized that patients with depression would have higher rates of lifetime ED and current DEB. We hypothesized a significant and independent association between DEB and the prevalence of depression.

Materials and Methods

The study was carried out using a cross-sectional design in a sample of 172 diabetic patients with T1DM aged from 17 to 55 years. Lifetime prevalence of ED according to DSM-5 criteria was assessed by means of the Module H modified of the Structured Clinical Interview for DSM-IV Axis I Disorder (SCID-I). The following questionnaires were used: Beck Depression Inventory-IA version (BDI-IA) and Diabetes Eating Problems Survey-Revised (DEPS-R), to assess respectively the current presence of depression and DEB. Socio-demographic, clinical, and laboratory data were also collected.

Results

High rates of depression (35.5%) and DEB (19.2%) were observed in our sample of 172 adult outpatients with T1DM. Lifetime history of ED was present in 20.9% of the sample and was more frequently diagnosed in patients with current depression (34.4% vs. 13.9%, p = 0.002). Higher levels of DEB at DEPS-R significantly increased the odds of depression (adjOR: 1.09; 95% CI: 1.03-1.15; p = 0.003). The presence of DEB was associated with poor glycemic control. On the other hand, no association was found between depression and metabolic compensation.

Conclusion

Adult patients with T1DM and depression should be screened for ED and DEB. Treating DEB could positively impact both mood and glycemic control in this population. Further studies should be carried out on a larger patient population using a longitudinal design and an accurate method of evaluation to explore the complex relationship between diabetes, depression, ED, and DEB. Future research should investigate treatment strategies for DEB in T1DM patients and their impact on both psychopathological and metabolic outcomes.

Symptoms of depression and anxiety in adults with type 1 diabetes: Associations with self-care behaviour, glycaemia and incident complications over four years - Results from diabetes MILES-Australia

OBJECTIVE

To examine whether symptoms of depression or anxiety predict glycaemia and incident diabetes complications four years later, and whether diabetes self-care behaviours mediate these associations, in adults with type 1 diabetes (T1DM).

METHODS

Data of 205 adults with T1DM from the 2011 and 2015 Diabetes MILES-Australia surveys were analysed. Variables of interest were: baseline depression and anxiety (PHQ-8 and GAD-7, respectively) symptoms; HbA_1c and incident complications at four-year follow-up; and self-care behaviours at both time points. Longitudinal associations were analysed using structural equation modelling.

RESULTS

Forty-two participants (20.6%) reported incident complications. Baseline depressive symptoms predicted higher HbA_1c at follow-up indirectly via less optimal self-care at follow-up (β = 0.19, P = 0.011). Baseline anxiety was not independently associated with HbA_1c or self-care at follow-up (P ≥ 0.64). Neither depressive nor anxiety symptoms predicted incident complications, although depressive symptoms were associated with less optimal self-care at baseline (β = -0.67, P < 0.001), and this predicted microvascular complications (β = -0.38, P = 0.044); however, the indirect association via self-care was not significant (β = 0.25, P = 0.067).

LIMITATIONS

Participants were self-selected; all study variables were assessed using self-report measures; and adjusting for baseline HbA_1c was not possible.

CONCLUSIONS

Depressive symptoms predicted suboptimal self-care behaviour and glycaemic outcome four years later, while anxiety symptoms did not. The findings suggest that tailored diabetes care should take the potential impact of comorbid depression into consideration to help people improve their diabetes self-care and achieve best possible health outcomes.