Increased Levels of HbA1c in Individuals with Type 2 Diabetes and Depression: A Meta-Analysis of 34 Studies with 68,398 Participants

Psychological factors in diabetes-related foot complications: A cohort study

Living with diabetes has been linked with an increased prevalence of psychological distress. Psychological problems may interfere diabetes-related foot complication (DRFC) self-management. We aimed to characterise psychological functioning in DRFC, and identify clinical factors that may be associated with psychological problems. Eighty-one participants (Mage = 62.8, SD = 11.3, range = 30-87) with DRFC were recruited from The Royal Melbourne Hospital. Each participant completed a battery of psychological questionnaires. DRFC participants endorsed an elevated prevalence of depression, anxiety, post-traumatic stress and diabetes distress. There were also maladaptive personality traits, differences in emotion regulation skills and negative illness perceptions. Previous mental health disorder, higher HbA1C levels and diabetes-related complications were also associated with greater psychological symptoms. Elevated prevalence of psychological symptoms is apparent in DRFC. Our study highlights the need to use targeted interventions to address psychological difficulties to help DRFC patients cope better with their condition.

Association between the triglyceride glucose index and depression: a meta-analysis

Background

Obesity and diabetes have been associated with depressive symptoms. The aim of this systematic review and meta-analysis was to evaluate the association between the triglyceride glucose index (TyG index) a novel indicator of insulin resistance (IR) and depression in the adult population.

Methods

Relevant observational studies were acquired through comprehensive searches of the Medline, Web of Science, Embase, Wanfang, and China National Knowledge Internet databases. To account for heterogeneity, a random-effects model was employed to combine the findings. Additionally, multiple subgroup analyses were conducted to assess the impact of various study characteristics on the outcome.

Results

The meta-analysis comprised eight datasets from six cross-sectional studies, encompassing a total of 28,973 adults. The pooled findings suggested that subjects with a high TyG index, compared to those with a low TyG index, were associated with a higher prevalence of depression (odds ratio [OR]: 1.41, 95% confidence interval (CI): 1.28-1.56, p<0.001; I2 = 19%). Sensitivity analyses, by omitting one dataset at a time, showed consistent results (OR: 1.39-1.45, p<0.05). Further subgroup analyses showed consistent results in participants aged <50 years old and in those aged ≥50 years old, in men and in women, in studies with different cutoff values for the TyG index, and in studies with different methods for the diagnosis of depression (for each subgroup difference, p>0.05).

Conclusion

A high TyG index may be associated with a higher prevalence of depression in the adult population.

Managing type 2 diabetes in children and young people: challenges and solutions

Growing numbers of children and young people are diagnosed with type 2 diabetes, partly due to the obesogenic environment they grow up in. The increasing prevalence of type 2 diabetes is seen particularly in adolescent girls and in children and young people of non-white ethnic backgrounds. There are numerous challenges relating to the diagnosis, treatment and management of type 2 diabetes in children and young people, notably the fact that the condition can lead to serious complications and often triggers high levels of anxiety and stress in patients and families. This article outlines the challenges faced by children and young people with type 2 diabetes, their families and carers, and suggests ways in which nurses can support them with the aim of achieving optimal management and self-management.

PHQ-9, CES-D, health insurance data-who is identified with depression? A Population-based study in persons with diabetes

AIMS

Several instruments are used to identify depression among patients with diabetes and have been compared for their test criteria, but, not for the overlaps and differences, for example, in the sociodemographic and clinical characteristics of the individuals identified with different instruments.

METHODS

We conducted a cross-sectional survey among a random sample of a statutory health insurance (SHI) (n = 1,579) with diabetes and linked it with longitudinal SHI data. Depression symptoms were identified using either the Centre for Epidemiological Studies Depression (CES-D) scale or the Patient Health Questionnaire-9 (PHQ-9), and a depressive disorder was identified with a diagnosis in SHI data, resulting in 8 possible groups. Groups were compared using a multinomial logistic model.

RESULTS

In total 33·0% of our analysis sample were identified with depression by at least one method. 5·0% were identified with depression by all methods. Multinomial logistic analysis showed that identification through SHI data only compared to the group with no depression was associated with gender (women). Identification through at least SHI data was associated with taking antidepressants and previous depression. Health related quality of life, especially the mental summary score was associated with depression but not when identified through SHI data only.

CONCLUSION

The methods overlapped less than expected. We did not find a clear pattern between methods used and characteristics of individuals identified. However, we found first indications that the choice of method is related to specific underlying characteristics in the identified population. These findings need to be confirmed by further studies with larger study samples.

The relationship between the joint effect of C-reactive protein and glycated hemoglobin with the risk of depressive symptoms among middle-aged and older adults: Findings from the China health and retirement longitudinal study

OBJECTIVES

The present study aimed to explore the relationship between the joint effect of C-reactive protein and glycated hemoglobin with the risk of depressive symptoms among middle-aged and older adults.

METHODS

A total of 5985 participants aged 45 years or older from the China Health and Retirement longitudinal study 2011 and 2015 were included in this study. Participants were divided into 4 groups according to C-reactive protein and glycated hemoglobin. Multivariate logistic regression model was used to explore the associations between C-reactive protein and glycated hemoglobin and new-onset depression.

RESULTS

During the follow-up period, 1001(16.73%) participants experienced depressive symptoms. Compared to participants with low C-reactive protein and low glycated hemoglobin, individuals with C-reactive protein and glycated hemoglobin both high levels have a higher risk to suffer from depressive symptoms with corresponding multivariable adjusted odds ratio (OR = 1.17, 95% CI: 1.01-1.36). Adding C-reactive protein and glycated hemoglobin simultaneously to conventional risk model significantly improved risk reclassification for depressive symptoms. The statistically significant interaction with joint effects of C-reactive protein and glycated hemoglobin on depressive symptoms was only found in different sex (P-interaction = 0.006) or age (P-interaction = 0.004) groups. Sensitivity analysis yields similar results.

CONCLUSIONS

Higher levels of C-reactive protein and glycated hemoglobin jointly increased the risk of depressive symptoms among Chinese middle-aged and older adults. Using the combination indicator of C-reactive protein and glycated hemoglobin could better identify individuals at risk of depressive symptoms.