Prevalence and predictors of depression and anxiety in adult patients with type 1 diabetes in tertiary care setting

Identifying the deficiencies of currently available CGM to improve uptake and benefit

BACKGROUND AND AIMS

The use of diabetes technologies is increasing worldwide, with health systems facilitating improved access to devices. Continuous glucose monitoring is a complex intervention that provides information on glucose concentration, rate and direction of change, historical data and alerts and alarms for extremes of glucose. These data do not themselves change glycaemia and require translation to a meaningful action for impact. It is, therefore, crucial that such systems advance to better meet the needs of individuals using them.

METHODS

Narrative review of the use of, engagement with, limitations and unmet needs of continuous glucose monitoring systems.

RESULTS

CGM devices have made a significant contribution to the self-management of diabetes; however, challenges with access and user experience persist, with multiple limitations to uptake and benefit. These limitations include physical size and implementation, with associated stigma, alarm fatigue, sleep disturbance and the challenge of addressing large volumes of real-time data. Greater personalisation throughout the continuous glucose monitoring journey, with a focus on usability, may improve the benefits derived from the device and reduce the burden of self-management. Healthcare professionals may have unconscious biases that affect the provision of continuous glucose monitors due to deprivation, education, age, ethnicity and other characteristics.

CONCLUSIONS

Continuous glucose monitoring exerts a dose-dependent response; the more it is used, the more effective it is. For optimal use, continuous glucose monitors must not just reduce the burden of management in one dimension but facilitate net improvement in all domains of self-management for all users.

Impact of Flash Glucose Monitoring on the Fear of Hypoglycemia Phenomenon in Adults with Type 1 Diabetes

Objective: To assess the clinical impact of flash glucose monitoring (FGM) systems on fear of hypoglycemia (FoH) and quality of life in adults with type 1 diabetes mellitus (T1DM). Methods: Prospective quasi-experimental study with a 12-month follow-up. People with T1DM (18-80 years old) and self-monitoring by blood capillary glycemia controls were included. The FH15 questionnaire, a survey validated in Spanish in a comparable study population, was used to diagnose FoH with a cutoff point of 28 points. Results: A total of 181 participants were included, with a FoH prevalence of 69% (n = 123). A mean reduction in FH15 score of -4 points (95% confidence interval [-5.5 to -3]; P < 0.001) was observed, along with an improvement in quality of life (EsDQOL-test (Diabetes Quality of Life, Spanish version), -7 points [-10; -4], P < 0.001) and satisfaction with treatment (Diabetes Treatment Satisfaction questionnaire, self-reported version [DTSQ-s] test, +4.5 points [4; 5.5], P < 0.001). At the end of the follow-up, 64.2% of the participants saw an improved FoH intensity, compared to 35.8% who scored the same or higher. This improvement in FoH status was associated with a higher time-in-range at the end of the follow-up (P = 0.003), as well as a lower time spent in hyperglycemia (P = 0.005). In addition, it was linked to participants with a high baseline FoH levels (P < 0.001) and those who were university degree holders (P = 0.07). Conclusions: FGM is associated with an overall reduction of FoH in adults with T1DM and with an increase in their quality of life. Nevertheless, a significant percentage of patients may experience an increase of this phenomenon leading to clinical repercussions and a profound impact on quality of life.

Microbial and metabolomic profiles of type 1 diabetes with depression: A case-control study

BACKGROUND

Depression is the most common psychological disorder in patients with type 1 diabetes (T1D). However, the characteristics of microbiota and metabolites in these patients remain unclear. This study aimed to investigate microbial and metabolomic profiles and identify novel biomarkers for T1D with depression.

METHODS

A case-control study was conducted in a total of 37 T1D patients with depression (TD+), 35 T1D patients without depression (TD-), and 29 healthy controls (HCs). 16S rRNA gene sequencing and liquid chromatography-mass spectrometry (LC-MS) metabolomics analysis were conducted to investigate the characteristics of microbiota and metabolites. The association between altered microbiota and metabolites was explored by Spearman's rank correlation and visualized by a heatmap. The microbial signatures to discriminate TD+ from TD- were identified by a random forest (RF) classifying model.

RESULTS

In microbiota, 15 genera enriched in TD- and 2 genera enriched in TD+, and in metabolites, 14 differential metabolites (11 upregulated and 3 downregulated) in TD+ versus TD- were identified. Additionally, 5 genera (including Phascolarctobacterium, Butyricimonas, and Alistipes from altered microbiota) demonstrated good diagnostic power (area under the curve [AUC] = 0.73; 95% CI, 0.58-0.87). In the correlation analysis, Butyricimonas was negatively correlated with glutaric acid (r = -0.28, p = 0.015) and malondialdehyde (r = -0.30, p = 0.012). Both Phascolarctobacterium (r = 0.27, p = 0.022) and Alistipes (r = 0.31, p = 0.009) were positively correlated with allopregnanolone.

CONCLUSIONS

T1D patients with depression were characterized by unique profiles of gut microbiota and serum metabolites. Phascolarctobacterium, Butyricimonas, and Alistipes could predict the risk of T1D with depression. These findings provide further evidence that the microbiota-gut-brain axis is involved in T1D with depression.

Baseline anxiety disorders are associated with progression of diabetic kidney disease in type 2 diabetes

BACKGROUND

Diabetic kidney disease (DKD) is a leading cause of kidney failure worldwide. Anxiety has been associated with disease progression in non-diabetes patients. We aimed to examine the prospective association between anxiety and progression of DKD in type 2 diabetes.

METHODS

We conducted a prospective cohort study of 2040 participants with type 2 diabetes at the Diabetes Center of Shanghai General Hospital between May 2017 and June 2020. Anxiety disorders at baseline were diagnosed by a structured clinical interview based on the 10th Revision of International Classification of Disease (ICD). Progression of DKD was identified as the transition from one urinary albumin excretion rate (AER) stage to the next or the development of kidney failure during the follow-up period.

RESULTS

At baseline, 403 (19.8%) had a diagnosis of anxiety disorders, of whom 107 (26.6%) also received a depression diagnosis. During a median follow-up time of 3.2 years, deterioration of the kidney status occurred in 340 (16.7%) individuals. After adjustment for potential confounders including depression or an anxiety × depression interaction term, anxiety disorders were independently related to an increased risk of progression of DKD (HR 1.539, 95% CI 1.130-2.095, p = 0.006; HR 1.536, 95% CI 1.111-2.122, p = 0.009, respectively).

CONCLUSIONS

Anxiety disorders at baseline, independent of possible confounders, were associated with the progression of DKD in type 2 diabetes. Whether therapeutic interventions for anxiety reduce the risk needs to be investigated.

Urinary symptoms and female sexual dysfunction in women with type 1 diabetes: the role of depression

BACKGROUND

Some reports suggest that women with type 1 diabetes (T1D) have a greater burden of female sexual dysfunction (FSD) than women without T1D, but the etiology of this elevated risk is poorly understood.

AIM

To examine the associations between FSD and urinary incontinence/lower urinary tract symptoms (UI/LUTS) in women with T1D and to evaluate how depression may mediate these relationships.

METHODS

LUTS and UI symptoms were assessed in women with T1D who participated in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study. Multivariable logistic regression models estimated associations between FSD and UI/LUTS (overall and specific domains) and the impact of depression on these associations.

OUTCOMES

FSD was measured with the Female Sexual Function Index-Reduced.

RESULTS

In total, 499 self-reported sexually active women completed validated assessments of sexual and urinary function (mean ± SD age, 47.7 ± 7.6 years; T1D duration, 23.4 ± 5.15 years). FSD was reported in 232 (46%) responders. The frequency of UI and LUTS was 125 (25.1%) and 96 (19.2%), respectively. Neither UI nor its subcategories (urge, stress) were associated with FSD. Although LUTS (odds ratio [OR], 1.75; 95% CI, 1.09-2.77) and its symptoms of urgency (OR, 1.99; 95% CI, 1.09-3.61) and incomplete emptying (OR, 2.44; 95% CI, 1.23-4.85) were associated with FSD, these associations were attenuated following adjustment for depression and antidepressant medication use. Depression indicators were independently associated with FSD overall and across domains.

CLINICAL IMPLICATIONS

The complex interplay of voiding dysfunction, mental health, and sexual function warrants further investigation to understand the potential implications for patient assessment, goal setting, treatment, and care planning.

STRENGTHS AND LIMITATIONS

Data are from a prospective study of individuals with T1D. These results are unable to explore cause-and-effect relationships among LUTS, UI, depression, and FSD. The sample may not be representative of the general population of women with T1D. Because participants in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study are mostly White, generalizing the findings to other races and to type 2 diabetes may not be appropriate. While exclusion of sexually inactive women likely biases our findings toward the null, this design element permitted study of LUTS and UI in relation to aspects of FSD, the primary objective of this study.

CONCLUSIONS

The significant associations between LUTS/UI and FSD among middle-aged women with T1D were greatly attenuated when depression was considered a mediating factor.

Latent Profile Analysis of Fear of Hypoglycemia in Middle-Aged and Elderly Hospitalized Patients with Type 2 Diabetes and Its Relationship with Sleep Quality

Introduction

Hypoglycemia is an acute complication that can appear in people with type 2 diabetes treated with drugs which are associated with a risk of hypoglycemia, and it may lead to individual's fear of hypoglycemia (FoH). FoH adversely affects diabetic self-management, psychological well-being, and quality of life, and it is associated with sleep quality. Nevertheless, this problem is often underestimated. The purpose of this study was to explore the heterogeneous characteristics of FoH in middle-aged and elderly hospitalized patients with type 2 diabetes and assess its relationship with the sleeping quality.

Patients and Methods

A cross-sectional study was performed on 263 middle-aged and elderly patients with type 2 diabetes hospitalized at the Zhejiang Veteran Hospital in Jiaxing, China, from May to August 2022, selected by a convenient sampling method. A questionnaire containing general information, fear of hypoglycemia scale-15 (FH-15) and the Pittsburgh sleep quality index (PSQI) was provided to the participants. Latent profile analysis was performed to examine the potential latent groups in the distribution of answers on the individual FoH items.

Results

The results identified three latent classes: Class 1 - Low FoH group (33%); Class 2 - No FoH group (61%); Class 3 - High FoH group (6%). The latent FoH class was the influencing factor of sleep quality, which was better in the No FoH group than in the Low FoH group, while the sleep quality of the Low FoH group was better than that in the High FoH group.

Conclusion

A heterogeneity was found in the FoH of middle-aged and elderly hospitalized patients with type 2 diabetes. Health-care providers should pay more attention to these patients with high FoH and develop intervention strategies to mitigate it and improve their sleep quality.

The impact of hypoglycaemia on quality of life among adults with type 1 diabetes: Results from "YourSAY: Hypoglycaemia"

AIMS

Research on hypoglycaemia and quality of life (QoL) has focused mostly on severe hypoglycaemia and psychological outcomes, with less known about other aspects of hypoglycaemia (e.g., self-treated episodes) and impacts on other QoL domains (e.g., relationships). Therefore, we examined the impact of all aspects of hypoglycaemia on QoL in adults with type 1 diabetes (T1DM).

METHODS

Participants completed an online survey, including assessment of hypoglycaemia-specific QoL (using the 12-item Hypoglycaemia Impact Profile). Mann-Whitney U tests examined differences in hypoglycaemia-specific QoL by hypoglycaemia frequency, severity, and awareness. Hierarchical linear regression examined associations with QoL.

RESULTS

Participants were 1028 adults with T1DM (M ± SD age: 47 ± 15 years; diabetes duration: 27 ± 16 years). Severe and self-treated hypoglycaemia and impaired awareness negatively impacted on overall QoL and several QoL domains, including leisure activities, physical health, ability to keep fit/be active, sleep, emotional well-being, spontaneity, independence, work/studies, and dietary freedom. Diabetes distress was most strongly associated with hypoglycaemia-specific QoL, followed by generic emotional well-being, fear of hypoglycaemia, and confidence in managing hypoglycaemia. Hypoglycaemia frequency and awareness were no longer significantly associated with QoL once psychological factors were considered.

CONCLUSIONS

Hypoglycaemia negatively impacts on several QoL domains. Psychological factors supersede the effect of hypoglycaemia frequency and awareness in accounting for this negative impact.

Hope therapy: Can it treat hopelessness and internal locus of control on diabetes mellitus patients?

Patients with diabetes mellitus (DM) are always required to be able to control a healthy lifestyle throughout their life to avoid various diseases that can accompany the previous illness. However, psychological factors in the form of despair due to lack of hope make people with diabetes more depressed and less able to control behavior and maintain blood sugar stability, so an excellent internal locus of control is needed to be stronger. This study aimed to determine the effect of hope therapy in reducing hopelessness and increasing internal locus of control in people with DM. The research design used a experimental study with ten randomly selected respondents divided into two groups, namely the control group and the experimental group. Data retrieval using the locus of control scale and the beck hopelessness scale. Data analysis used non-parametric analysis, namely the Mann Whitney test, Wilcoxon test, and Spearman's Rank Correlation test. The results of the Mann-Whitney U test on the internal locus of control variable show a value of 0.000 and a p score of 0.008 (p <0.05), it can be concluded that there are differences in the internal locus of control in the experimental group compared to the internal locus of control in the control group. The hopelessness variable shows a value of 0.000 and a p score of 0.008 (p <0.05), this indicates that there is a difference in hopelessness in the experimental group and the control group. There is a decrease in hopelessness and an increase in internal locus of control in people with DM given hope therapy.

Prevalence of mental disorders in people living with type 1 diabetes: A systematic literature review and meta-analysis

OBJECTIVE

Type 1 diabetes is associated with increased prevalence of individual categories of mental disorders. We aimed to systematically synthesise the prevalence of all the different categories of mental disorders to estimate the overall burden of psychiatric morbidity in the type 1 diabetes population.

METHOD

The electronic database of OVID was searched, and retrieved papers were screened for eligibility by two independent reviewers. Data were extracted using a standardised data extraction form and the quality of included papers was assessed. Where possible, comparisons with control groups without type 1 diabetes were made. Prevalence data were synthesised into Diagnostic and Statistical Manual of Mental Disorders version 5 categories, a narrative data-synthesis, and a subsequent meta-analysis where possible was conducted for mental disorder categories.

RESULTS

Thirty-eight articles were included. Depressive, anxiety, and feeding and eating disorders were the most examined mental disorders. Studies utilising diagnostic interviews reported higher prevalence of mental disorders than in studies utilising clinical registers, with an up to 24-fold difference respectively. In studies with a control group, the prevalence for nearly every mental disorder were increased for the type 1 diabetes samples.

CONCLUSIONS

There appears to be a high prevalence of mental disorders and associated need among people with type 1 diabetes, although the quality of research needs to improve.

SYSTEMATIC REVIEW REGISTRATION

This protocol was submitted for registration with the International Prospective Register of Systematic Reviews (PROSPERO) (CRD42020221530).

Fear of hypoglycemia and associated factors in hospitalized patients with type 2 diabetes: a cross‑sectional study

The present cross-sectional survey was performed to assess the prevalence and factors associated with fear of hypoglycemia (FoH) in hospitalized patients with type 2 diabetes (T2D). Between July and December 2020, 494 patients with T2D were evaluated via structured questionnaires containing sociodemographic information, clinical information, and the Fear of Hypoglycemia-15 scale (FH-15). Patients were divided into the FoH and non-FoH groups according to the FH-15 score. Univariate and multivariate logistic regression analyses were performed to determine factors associated with FoH. Variables with P values < 0.1 in the univariate model were included in the multivariate model. In this study, the prevalence of FoH was 17.4% (86/494). 247 (50.0%) patients experienced hypoglycemic episodes in the past year, and 15 (3.0%) patients experienced severe hypoglycemic episodes in the past year. The mean age was 60.04 ± 11.71 years old, and female patients accounted for 39.9% of the sample. The item with the highest average FH-15 scores was: how often are you afraid of having hypoglycemia while alone? Multivariate logistic regression analysis indicated that living alone (OR 2.48; 95% CI 1.20-5.14; P = 0.015), number of hypoglycemic episodes in the past year (OR 1.06; 95% CI 1.03-1.10; P < 0.001), number of severe hypoglycemic episodes in the past year (OR 2.61; 95% CI 1.20-5.69; P = 0.016), and duration of insulin use (OR 1.06; 95% CI 1.02-1.10; P = 0.006) were associated with FoH. The prevalence of FoH in hospitalized patients with T2D was high. FoH was associated with living alone, number of hypoglycemic episodes in the past year, number of severe hypoglycemic episodes in the past year, and duration of insulin use. These findings can contribute to early decision-making for preventing, identifying, and improving FoH in patients with T2D. In the future, interventions aimed at reducing FoH to improve the harmful effects of FoH are necessary, such as increasing diabetes-related knowledge and skills, increasing social support, reducing psychological fear, and minimizing risks for hypoglycemic episodes.

A bidirectional relationship between diabetes mellitus and anxiety: A systematic review and meta-analysis

BACKGROUND

Due to the existence of inconsistencies in the evidence regarding the direction and extent of association between diabetes and anxiety disorders, the anxiety-diabetes comorbidity remains an issue of debate.

AIM

To estimate the proportion and risk of diabetes among individuals with anxiety disorder and vice versa.

METHODS

A systematic review was conducted using studies retrieved from databases and grey literature, with the last database search being conducted on April 15, 2021. The methodological rigor of studies was assessed using the National Institute of Health quality assessment tool. Prevalence and effect size (ES) estimates were pooled using a random effect model. Heterogeneity was assessed using the Higgins' I² statistical test, and subgroup analysis conducted.

RESULTS

We included 68 studies presenting data from 2,128,029 participants. The prevalence of anxiety disorders in diabetic patients was 28% (95% CI: 26%, 31%); however, subgroup analysis showed significant differences based on type of anxiety assessment scales, study location, and type of diabetes. The prevalence of diabetes among patients with anxiety disorders was 12% (95% CI: 9%, 16%). Patients with anxiety disorders were found to have a 19% higher risk of diabetes (pooled effect size (ES) = 1.19, 95% CI: 1.13, 1.26). Diabetic patients were found to have a 41% higher risk of developing anxiety disorders (ES = 1.41, 95% CI: 1.19, 1.62).

CONCLUSIONS

There is a higher risk of anxiety disorders in patients with diabetes mellitus and vice versa. It is recommended to screen diabetic patients for anxiety at initial diagnosis and follow-up visits. Similarly, patients with anxiety disorders should have regular screening for diabetes.

REVIEW REGISTRATION

PROSPERO registration number CRD42021252475.

Development and Validation of the Depression Inventory for Type 1 Diabetes (DID-1)

People with type 1 diabetes (T1D) are more likely to have depression than the general population and their prognosis is worse. Unfortunately, the characteristics of persons with T1D lead to inadequate screening for depression in this population. To aid in the detection of depression in this population, this study was undertaken to develop a depressive symptoms assessment instrument specific to patients with T1D and to examine its psychometric properties. A total of 207 people with T1D participated in this study. The reliability of the new scale was assessed using Cronbach’s alpha and the Spearman-Brown split-half coefficient. The Depression Inventory for type 1 Diabetes (DID-1), composed of 45 items on a Likert scale (1–7), shows high internal and temporal consistency, as well as adequate concurrent, convergent and discriminant validity. Factor analysis identified 7 factors (Symptoms of depression, Diminished interest, Hopelessness and dissatisfaction, Guilt, Fear, frustration and irritability, Defenselessness, and Interference in daily life) that explained 61.612% of the total variability. The cut-off score for diagnosis was set at 155 points. It was concluded that the DID-1 scale is a reliable, valid and useful tool for the assessment of depressive symptoms, eliminating the bias of other nonspecific diabetes scales.

The Mediating Effects of Diabetes Distress, Anxiety, and Cognitive Fusion on the Association Between Neuroticism and Fear of Hypoglycemia in Patients With Type 2 Diabetes

Purpose: To explore the relationship between neuroticism and fear of hypoglycemia (FoH) among patients with type 2 diabetes (T2D), as well as the mediating effects of diabetes distress, anxiety, and cognitive fusion on the relationship between neuroticism and FoH.

Methods: A total of 494 patients with T2D (39.9% females, n = 197) were analyzed using the neuroticism scale of the Eysenck Personality Questionnaire-Revised Short Scale (EPQ-RS), the Fear of Hypoglycemia-15 Scale (FH-15), the Diabetes Distress Scale (DDS), the Self-Rating Anxiety Scale (SAS), and the Cognitive Fusion Questionnaire (CFQ). The bootstrapping method was used to test the separate and parallel mediation models.

Results: FoH was noted in 17.4% (n = 86) of patients. The correlations between neuroticism, diabetes distress, anxiety, cognitive fusion, and FoH were positive. Diabetes distress, anxiety, and cognitive fusion were significant mediators in the association between neuroticism and FoH in both separate and parallel mediation models. In the parallel mediation model, the mediating effect of anxiety was the highest, and the mediating effect of diabetes distress was the lowest, but no significant differences were found in the comparison of these three indirect effects.

Conclusion: This study indicated that neuroticism not only directly affected FoH, but also indirectly influenced FoH via the increase of diabetes distress, anxiety, and cognitive fusion in patients with T2D. The results provide a theoretical basis for the development of intervention programs to ameliorate patients’ FoH directly and indirectly. Healthcare providers should be encouraged to develop appropriate programs based on improving diabetes distress, anxiety, and cognitive fusion to help patients with T2D improve FoH.

Psychotherapeutic Interventions to Improve Psychological Adjustment in Type 1 Diabetes: A Systematic Review

Background: International clinical practice guidelines highlight the importance of improving the psychological and mental health care of patients with Type 1 diabetes mellitus (T1DM). Psychological interventions can promote adherence to the demands of diabetes self-care, promoting high quality of life and wellbeing. Methods: A systematic review was carried out to determine whether psychological treatments with a specific focus on emotional management have an impact on glycemic control and variables related to psychological adjustment. Comprehensive literature searches of PubMed Medline, Psycinfo, Cochrane Database, Web of Science, and Open Grey Repository databases were conducted, from inception to November 2019 and were last updated in December 2020. Finally, eight articles met inclusion criteria. Results: Results showed that the management of emotions was effective in improving the psychological adjustment of patients with T1DM when carried out by psychologists. However, the evidence regarding the improvement of glycemic control was not entirely clear. When comparing adolescent and adult populations, findings yielded slightly better results in adolescents. Conclusions: More rigorous studies are needed to establish what emotional interventions might increase glycemic control in this population.

Mental Health among Spanish Adults with Diabetes: Findings from a Population-Based Case-Controlled Study

Background: The purpose of this study was to assess and compare the prevalence of self-reported mental disorders, psychological distress, and psychotropic drug consumption among people with diabetes mellitus (DM) and matched non-DM controls. Methods: A case–controlled study using data from the Spanish National Health Interview Survey was conducted in 2017. We identified 2116 DM adults (aged ≥35 years). Non-DM controls were matched 1:1 by age, sex, and province of residence. Results: Prevalence of mental disorders (25.0% vs. 19.2%; p < 0.001), psychological distress (29% vs. 19.5%; p < 0.001), and consumption of psychiatric medications (29.7% vs. 23.5%; p < 0.001) among DM cases were higher than those among matched non-DM controls. The DM patient variables associated with experiencing a mental disorder, psychological distress, and consumption of psychiatric medications were: being a woman, worse self-rated health, and a visit to a psychologist within the last year. Older age (≥80 years) was associated with a lower probability of reporting mental disorders and psychological distress among DM cases. Not practicing physical exercise was significantly associated with experiencing psychological distress. Conclusions: Adults with DM included in our investigation have a significantly higher prevalence of mental disorders, psychological distress, and consumption of psychiatric medications than non-DM controls. It is necessary to implement screening strategies and psychological interventions to improve the mental health of DM patients in Spain, focusing especially on women and those aged 35 to 59 years.

The influence of hypoglycemia on the specific quality of life in type 2 diabetes mellitus: a comparative cross-sectional study of diabetics with and without hypoglycemia in Xi'an, China

Purpose

This study aims to explore the incidence of hypoglycemia in patients with type 2 diabetes mellitus (T2DM) and the influence of hypoglycemia on the specific quality of life in T2DM patients.

Methods

It was a comparative cross-sectional study consisting of 519 T2DM patients in Xi'an, China and patients were investigated by self-reported hypoglycemia and specific quality of life questionnaires from September 2019 to January 2020. Descriptive analysis, t-test, Chi-square test, hierarchical regression analysis and stepwise multiple regression analysis were applied to assess the influence of hypoglycemia on the specific quality of life.

Results

The incidence of hypoglycemia in T2DM patients was 32.18%. The mean score of specific quality of life in diabetes without hypoglycemia was 57.33 ± 15.36 and was 61.56 ± 17.50 in those with hypoglycemia, which indicated that hypoglycemia had a serious impact on the quality of life of diabetics (t = − 5.172, p = 0.000). In the Univariate analysis of specific quality of life, age, education background, marital status, living status, duration of diabetes, monthly income per capita were independent and significant factors associated with specific quality of life of two groups of T2DM patients (p < 0.05). In the hierarchical regression analysis, the duration of the diabetes more than 11 years and the frequency of hypoglycemia more than 6 times in half a year entered the equation of specific quality of life of 519 diabetics respectively (p < 0.001). In multiple linear regression analysis, age, marital status and income all entered the regression equation of quality of life of the two groups (p < 0.05).

Conclusion

Hypoglycemia will have a serious impact on the quality of life of T2DM patients. In order to improve the living quality in diabetics, effective measurements should be taken to strengthen the management of blood glucose and to avoid hypoglycemia.

The consequences of hypoglycaemia

Hypoglycaemia (blood glucose concentration below the normal range) has been recognised as a complication of insulin treatment from the very first days of the discovery of insulin, and remains a major concern for people with diabetes, their families and healthcare professionals today. Acute hypoglycaemia stimulates a stress response that acts to restore circulating glucose, but plasma glucose concentrations can still fall too low to sustain normal brain function and cardiac rhythm. There are long-term consequences of recurrent hypoglycaemia, which are still not fully understood. This paper reviews our current understanding of the acute and cumulative consequences of hypoglycaemia in insulin-treated diabetes.

The impact of hypoglycaemia on quality of life outcomes among adults with type 1 diabetes: A systematic review

Hypoglycaemia is a common barrier to optimal glycaemic management and often feared among adults with type 1 diabetes. The aim of this systematic review was to summarize current evidence regarding the impact of hypoglycaemia on quality of life (QoL) and related outcomes. Electronic searches of MEDLINE, PsycINFO, CINAHL, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials were conducted. Peer-reviewed empirical studies investigating the relationship between hypoglycaemia and QoL were eligible for inclusion. Thirty studies met the inclusion criteria. Extracted data was summarized in a narrative synthesis according to Synthesis Without Meta-Analysis guidelines. None of the studies examined the impact of hypoglycaemia on general QoL. There was no association between hypoglycaemia and diabetes-specific QoL in four of the 30 studies. Severe hypoglycaemia was associated with greater fear of hypoglycaemia and diabetes distress, and lower general emotional well-being, but not with depression, anxiety, or health status. Self-treated hypoglycaemia was associated with greater fear of hypoglycaemia. With the exception of fear of hypoglycaemia, this review shows mixed associations between hypoglycaemia and psychological outcomes. Further research is needed to investigate the impact of hypoglycaemia on other domains of QoL.

Selenium nanoparticles and metformin ameliorate streptozotocin-instigated brain oxidative-inflammatory stress and neurobehavioral alterations in rats

Selenium nanoparticles (SeNPs) are well reported to exhibit pharmacological activities both in vitro and in vivo. However, literature is devoid of studies on the impact of SeNPs and/or metformin (M) against streptozotocin (STZ)-mediated oxidative brain injury and behavioral impairment. Consequently, to fill this gap, diabetes was induced in male Wistar rats by feeding with 10% fructose solution for 2 weeks, followed by a single dose intraperitoneal injection of STZ (40 mg/kg body weight [bwt]). After rats were confirmed diabetic, they were treated orally with 0.1 mg/kg bwt of SeNPs ± M (50 mg/kg bwt), and normal control (NC) received citrate buffer (2 mg/mL) for 5 weeks. In comparison with the diabetic control (DC), SeNPs, and/or M significantly (p < 0.05) lowered blood glucose levels, but increased insulin secretion and pancreatic β-cell function. An increase in locomotor and motor activities evidenced by improved spontaneous alternation, locomotor frequency, hinding, and increased mobility time were observed in treated groups. In addition, there was enhanced brain antioxidant status with a lower acetylcholinesterase (AChE) activity and oxidative-inflammatory stress biomarkers. A significant downregulation of caspase 3 and upregulation of parvalbumin and Nrf2 protein expressions was observed in treated groups. In some of the studied parameters, treated groups were statistically (p < 0.05) insignificant compared with the normal control (NC) group. Overall, co-treatment elicited more efficacy than that of the individual regimen.

Factors associated with depression, anxiety and stress among patients with diabetes mellitus in primary health care: Many questions, few answers

INTRODUCTION

People with diabetes mellitus (DM) may have concurrent mental health disorders and have been shown to have poorer disease outcomes.

OBJECTIVE

The aim of this study to determine the prevalence of DASS in patients with diabetes mellitus without mental disorders, aged 20 years or more, in primary health care, and to determine any association between DASS and patients' sociodemographic and clinical attributes.

METHODS

This was a cross-sectional study conducted in a primary health care center, in the department of general practice. Patients with DM who visited the doctor and agreed to fill in the questionnaire were included in the study. Data were collected using the questionnaire DASS-21. Descriptive statistics, the Pearson chi-square test, and logistic regression analysis were used to analyze the data.

RESULTS

Out of a total of 102 respondents with DM, 29 (28.4%) had some form of psychological symptoms. The prevalence of DASS was 16.7%, 16.6%, and 23.5%, respectively. There was no significant difference between sociodemographic variables according to stress status. Respondents aged 40-49 years more often showed emotional states of depression and anxiety. There was a significant association between emotional status of DASS and HbA1c values. Logistic regression analysis indicated that age (OR=2.57, 95% CI: 1.59-4.13) was a predictor of depression and anxiety.

CONCLUSION

Unpleasant emotional states DASS are common in patients with DM, depression (16.7%), anxiety (16.6%), and stress (23.5%). Age is the strongest predictor of DASS status. The screening and monitoring of unpleasant emotional states in people with diabetes should be performed from a young age.

Relationship between Resilience and Quality of Life in Patients with Fear of Hypoglycemia: The Mediating Effects of Anxiety and Depression

Background: Fear of hypoglycemia is an important problem in individuals with diabetes and could produce a negative impact on blood glucose control and quality of life in individuals with type 1 diabetes. Aim: To analyze (1) the associations among resilience, diabetes-related quality of life, and anxiety and depression in patients with type 1 diabetes with fear of hypoglycemia and (2) whether anxiety and depression mediate the relationship between resilience and quality of life. Design: A non-experimental, descriptive correlational design was used. Methods: Participants were 30 patients with type 1 diabetes with fear of hypoglycemia. Data were collected using several questionnaires administered between September 2019 and March 2020. Results: Resilience played a significant role in the anxiety and depression that accompanies diabetes. Mediation analysis was performed to assess whether the association between resilience and quality of life was mediated by anxiety and depression in series. The results show that the effect of resilience was mainly mediated by anxiety but not by depression. Conclusions: This study provides further evidence that high resilience could be a protective factor against the development of psychological symptomatology, which has a high prevalence in chronic conditions such as diabetes and can improve quality of life. Impact: Our study addresses the relationship between the positive psychological characteristic of resilience and anxiety, depression, and quality of life and the association between these variables. The results indicate that resilience has a positive impact on quality of life in people with type 1 diabetes who experience fear of hypoglycemia. Moreover, health professionals who provide care to these individuals should consider implementing programs to build resilience.

Scale for Measuring Role Strain in Women With Diabetes: Development and Psychometric Testing of the Chinese Version

BACKGROUND

Women with diabetes (type 1 and type 2) have excessive risk of developing cardiovascular disease compared with men with diabetes, so optimizing diabetes control is crucial for women to reduce this risk. Women with diabetes experience role strain, and a scale to measure role strain in the context of diabetes control could help healthcare providers improve diabetes control in women with diabetes.

OBJECTIVE

The aims of the study were to develop a short-form scale for measuring role strain in Taiwanese women with diabetes and test its psychometric properties.

METHODS

This study was conducted from October 2018 to May 2019 and used a cross-sectional design. Based on literature reviews and results of focus groups, a 28-item role strain scale was developed and administered to 519 women with diabetes in Taiwan. Item analysis, exploratory factor analysis, confirmatory factor analysis, concurrent validity, and reliability testing were used to examine the psychometric characteristics of the scale.

RESULTS

A 9-item role strain scale including subscales for role guilt and role conflict, supported by exploratory factor analysis and confirmatory factor analysis, was produced. High role strain significantly correlated with high depression (r = 0.399, P < .001) and high hemoglobin A1c levels (r = 0.169, P < .001). The overall and subscale Cronbach's α ranged between 0.78 and 0.86, with test-retest reliability ranging between 0.64 and 0.81.

CONCLUSIONS

The role strain scale for women with diabetes is reliable and valid and can be used to evaluate role strain in women with diabetes.

The cognitive and psychological effects of living with type 1 diabetes: a narrative review

Across the lifespan, type 1 diabetes mellitus has a profound (neuro)psychological impact. In young people, type 1 diabetes can interfere with psychosocial development and hamper school performance. In adulthood, it can interfere with work life, relationships and parenting. A substantial minority of adults with type 1 diabetes experience coping difficulties and high diabetes-related distress. In youth and adulthood, type 1 diabetes is related to mild cognitive decrements as well as affective disorders, such as depression and anxiety. There is limited literature available that explores the interaction between cognitive and psychological comorbidity and underlying mechanisms. The aims of the present narrative review were to summarize the current state of the literature regarding both cognitive and psychological comorbidities in type 1 diabetes across the lifespan, and to explore potential links between the two domains of interest to make suggestions for future research and clinical practice.

Differential Resting State Connectivity Responses to Glycemic State in Type 1 Diabetes

CONTEXT

Individuals with type 1 diabetes mellitus (T1DM) have alterations in brain activity that have been postulated to contribute to the adverse neurocognitive consequences of T1DM; however, the impact of T1DM and hypoglycemic unawareness on the brain's resting state activity remains unclear.

OBJECTIVE

To determine whether individuals with T1DM and hypoglycemia unawareness (T1DM-Unaware) had changes in the brain resting state functional connectivity compared to healthy controls (HC) and those with T1DM and hypoglycemia awareness (T1DM-Aware).

DESIGN

Observational study.

SETTING

Academic medical center.

PARTICIPANTS

27 individuals with T1DM and 12 HC volunteers participated in the study.

INTERVENTION

All participants underwent blood oxygenation level dependent (BOLD) resting state functional magnetic brain imaging during a 2-step hyperinsulinemic euglycemic (90 mg/dL)-hypoglycemic (60 mg/dL) clamp.

OUTCOME

Changes in resting state functional connectivity.

RESULTS

Using 2 separate methods of functional connectivity analysis, we identified distinct differences in the resting state brain responses to mild hypoglycemia between HC, T1DM-Aware, and T1DM-Unaware participants, particularly in the angular gyrus, an integral component of the default mode network (DMN). Furthermore, changes in angular gyrus connectivity also correlated with greater symptoms of hypoglycemia (r = 0.461, P = 0.003) as well as higher scores of perceived stress (r = 0.531, P = 0.016).

CONCLUSION

These findings provide evidence that individuals with T1DM have changes in the brain's resting state connectivity patterns, which may be further associated with differences in awareness to hypoglycemia. These changes in connectivity may be associated with alterations in functional outcomes among individuals with T1DM.

Gender differences in quality of life in adults with long-standing type 1 diabetes mellitus

BACKGROUND

To assess gender differences in Quality of life (QoL) and in sociodemographic, clinical and psychological factors associated with impaired QoL in adults with long-standing type 1 diabetes mellitus (DM1).

METHODS

Cross-sectional evaluation in a random cohort of DM1 adult patients from a tertiary care hospital. QoL was evaluated using translated and validated self-administered Diabetes QoL questionnaire (Es-DQoL), and results transformed into a 0-100 scale. Psychological assessment included a planned psychological interview and self-reported questionnaires (Beck Depression Inventory II, State-Trait Anxiety Inventory Form Y, Fear of hypoglycaemia Scale, Medical Outcomes Study Social Support Survey).

RESULTS

A total of 312 patients (51.6% male; 38.2 ± 12.7 years; HbA_1c 7.5 ± 1.1% (58.5 ± 14.2 mmol/mol); 20.4 ± 12.0 years of DM1) were included in the analysis. Male and female subgroups showed similar sociodemographic and diabetes-related features and comparable social support. Among female patients, higher frequency of depression [31.7% (IC95% 26.2-40.8) vs. 14.9% (IC95% 10.1-20.8), p < 0.05] and anxiety [23.2% (IC95% 19.3-33.14) vs. 13.0% (IC95% 8.1-18.4), p < 0.05] and severity of depressive and anxious symptoms were also found. Compared to male patients, female patients showed lower QoL [75 (IC95% 73.6-77.5) vs. 80 (IC95% 75.7-83.1), p < 0.05] and scored significantly worse in subscale Diabetes-related worries [69 (IC95% 50.0-81.0) vs. 75 (IC95% 72.9-79.0), p < 0.05]. Fear of hypoglycemia and severity of depressive and anxious symptoms were factors independently associated to lower QoL in men and women while high frequency of glycemic excursions was a female-specific predictive one.

CONCLUSIONS

Adult women with long-standing DM1 showed lower QoL probably related to higher frequency and severity of psychopathological syndromes. Depressive and anxious symptoms and, among women, exposure to glycemic excursions were identified as modifiable, QoL-related variables. Educational, technological and psychological interventions are needed in order to improve QoL in DM1 patients.

Diabetes Distress, Depressive Symptoms, and Cardiovascular Health in Adults With Type 1 Diabetes

BACKGROUND

The prevalence of adults with Type 1 diabetes (T1D) is increasing, and their risk of cardiovascular disease is high. Comorbid diabetes distress and depressive symptoms may affect their cardiovascular health.

OBJECTIVES

The purpose of this study was to describe the relationship between diabetes distress and depressive symptoms with cardiovascular health factors.

METHODS

This was a cross-sectional survey of a sample of adults with T1D. Valid and reliable instruments were used to collect the data on sociodemographics, diabetes-related complications, psychological factors, and cardiovascular health factors. Independent-sample t tests, analysis of variance, chi-square analyses, and linear regression were used to compare the cardiovascular health factors among the three levels of diabetes distress scores and the two levels of depressive symptom scores.

RESULTS

Our sample included 83 adults with a mean age of 45.2 years and a mean duration of T1D of 20 years. The majority scored low in the Diabetes Distress Scale, whereas 18% scored moderate and 18% scored high. Twenty-two percent had increased levels of depressive symptoms. There were significant correlations between diabetes distress and fear of hypoglycemia, depressive symptom scores, hemoglobin A1c, and total cholesterol. Depressive symptom scores were significantly correlated with hemoglobin A1c. Hemoglobin A1c and total cholesterol were significantly higher in those with higher levels of diabetes distress. There were no significant differences in cardiovascular health between those who scored below or above the cut point for depressive symptoms, but there was a finding toward higher mean body mass index, hemoglobin A1c, and a lower weekly step count in those who had elevated depressive symptoms. In the linear regression, only diabetes distress was significantly associated with hemoglobin A1c.

DISCUSSION

This is a sample with elevated diabetes distress and depressive symptoms, both of which may affect their risk of cardiovascular disease.

Zebrafish models of diabetes-related CNS pathogenesis

Diabetes mellitus (DM) is a common metabolic disorder that affects multiple organ systems. DM also affects brain processes, contributing to various CNS disorders, including depression, anxiety and Alzheimer's disease. Despite active research in humans, rodent models and in-vitro systems, the pathogenetic link between DM and brain disorders remains poorly understood. Novel translational models and new model organisms are therefore essential to more fully study the impact of DM on CNS. The zebrafish (Danio rerio) is a powerful novel model species to study metabolic and CNS disorders. Here, we discuss how DM alters brain functions and behavior in zebrafish, and summarize their translational relevance to studying DM-related CNS pathogenesis in humans. We recognize the growing utility of zebrafish models in translational DM research, as they continue to improve our understanding of different brain pathologies associated with DM, and may foster the discovery of drugs that prevent or treat these diseases.

Pharmacotherapeutic strategies for managing comorbid depression and diabetes

Introduction: The increasing prevalence of comorbid depression and diabetes exerts a heavy burden on global health. Co-occurrence of depression and diabetes is common, affecting 14% to 35.8% of patients with diabetes, leading to a higher mortality and morbidity rate, more micro- and macro-vascular diseases and more cognitive decline. Areas covered: In this paper, the authors address various areas from epidemiology, the association between depression and diabetes, treatment strategies and future directions based on the currently available literature to provide novel insight into the pharmacotherapeutic management of comorbid depression and diabetes. Expert opinion: Pharmacotherapy can help patients with comorbid depression and diabetes by relieving depressive symptoms and improving glycemic control. When combined with psychological therapy, as a collaborative care effort, pharmacological therapy based on selective serotonin reuptake inhibitors (SSRIs) is recommended for comorbid depression with diabetes. Furthermore, studies with larger sample sizes that can help to define different subtypes of diabetes and severity of depression are needed so that clinicians can draw up a precise and applicable management guidelines for the personalized therapy of these diseases.

The prevalence of neuropathy among type 1 diabetic adolescents in Iran: a systematic review and meta-analysis

INTRODUCTION

Neuropathy is one of the most common complications of diabetes, which causes many problems for diabetic patients. Thus, the aim of the present study was to investigate the prevalence of neuropathy among type 1 diabetic adolescents by systematic review and meta-analysis.

MATERIALS AND METHODS

This study is a systematic review and meta-analysis, which reviewed articles published from 2001 to September 1, 2018. The search process was carried out in the Google Scholar search engine and domestic and international databases such as Magiran, SID, Iranmedex, IranDoc, Medlib, PubMed, Scopus, Science Direct, Springer, Wiley Online Library, Web of Science, Ebsco and Cochrane using Persian and English keywords based on MESH conformity. All the research steps were carried out by two members of the research team who were familiar with systematic reviews and meta-analysis data, using the software CMA. Analysis of meta-regression and the use of a random effects model were introduced and analyzed.

FINDINGS

When a systematic search was carried out on the reviewed articles, five of them were included in the meta-analysis phase. The sample size was 484, and the prevalence of diabetic peripheral neuropathy (DPN) in type 1 diabetic patients was 28.2% [confidence interval (CI) = 19.5-39.1]. The findings of the meta-regression analysis showed that the DPN prevalence rate decreased with increasing age (Q = 5.77 p = 0.016), and the results of more recent studies showed an increase in the DPN incidence rate (Q = 20.62, p < 0.001).

CONCLUSION

The findings of the present study revealed that although the prevalence of neuropathy in diabetic adolescents was not high, the prevalence was significant. Considering the increasing prevalence of diabetes and its impact on the health status of patients, appropriate interventions should be conducted to prevent diabetes and subsequent diabetic neuropathy.