Depression and Anxiety Screens as Simultaneous Predictors of 10-Year Incidence of Diabetes Mellitus in Older Adults in Primary Care

Psychological distress and self-reported mental disorders: the partially mediating role of coping strategies

BACKGROUND AND OBJECTIVES

Accumulating evidence suggests a substantial prevalence of mental health disorders worldwide and the association between psychological distress and mental disorders. However, the mechanisms underlying this association are underexplored. Using longitudinal data, this study examined coping strategies as a potential mechanism.

METHODS

Participants (N = 2,333) from the Midlife in the United States (MIDUS) completed psychosocial and mental health surveys over 19 years. A parallel mediation model was used to test the direct association between psychological distress (baseline) and self-reported mental disorders (17-19 years follow-up) and the indirect associations via coping strategies (8-11 years follow-up), controlling for demographics and baseline self-reported mental disorders.

RESULTS

Psychological distress predicted an increased likelihood of mental disorders later in life. Emotion-focused coping was a significant mediator of this association, but problem-focused coping was not. Psychological distress was positively associated with emotion-focused coping, and emotion-focused coping was positively associated with mental disorders. Psychological distress was negatively associated with problem-focused coping; however, no association was found between problem-focused coping and mental disorders.

CONCLUSIONS

Findings provide further support for the longitudinal association between psychological distress and mental health disorders and extend prior research by showing the partial mediating role of emotion-focused coping in this association.

Network analysis of depressive and anxiety symptoms in older Chinese adults with diabetes mellitus

Background

The move away from investigating mental disorders as whole using sum scores to the analysis of symptom-level interactions using network analysis has provided new insights into comorbidities. The current study explored the dynamic interactions between depressive and anxiety symptoms in older Chinese adults with diabetes mellitus (DM) and identified central and bridge symptoms in the depression-anxiety network to provide potential targets for prevention and intervention for depression and anxiety.

Methods

This study used a cross-sectional design with data from the 2017-2018 wave of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). A regularized partial correlation network for depressive and anxiety symptoms was estimated based on self-reported scales completed by 1685 older adults with DM aged 65 years or older. Depressive and anxiety symptoms were assessed using the 10-item Center for Epidemiologic Studies Depression Scale (CESD-10) and the Seven-Item Generalized Anxiety Disorder Scale (GAD-7), respectively. Expected influence (EI) and bridge expected influence (BEI) indices were calculated for each symptom.

Results

According to cutoff scores indicating the presence of depression and anxiety, the prevalences of depression and anxiety in our sample were 52.9% and 12.8%, respectively. The comorbidity rate of depression and anxiety was 11.5%. The six edges with the strongest regularized partial correlations were between symptoms from the same disorder. "Feeling blue/depressed", "Nervousness or anxiety", "Uncontrollable worry", "Trouble relaxing", and "Worry too much" had the highest EI values. "Nervousness or anxiety" and "Everything was an effort" exhibited the highest BEI values.

Conclusion

Central and bridge symptoms were highlighted in this study. Targeting these symptoms may be effective in preventing the comorbidity of depressive and anxiety symptoms and facilitate interventions in older Chinese adults with DM who are at risk for or currently have depressive and anxiety symptoms.

Exploring the Interrelationships between Diabetes, Nutrition, Anxiety, and Depression: Implications for Treatment and Prevention Strategies

Across the world, diabetes, depression, and anxiety symptoms have gained widespread recognition as significant public health issues. Recent research has unveiled a mutually influential relationship between diabetes and these two mental health conditions, where each disorder impacts the course and outcomes of the others. The role of nutrition emerges as pivotal in preventing and treating depression, anxiety, and diabetes. A thorough literature review was undertaken to investigate the reciprocal effects between anxiety, depression, and diabetes, including their impact on the development and severity of each condition. Additionally, the effects of nutrition on the prevention and management of depression, anxiety, diabetes, and related complications in at-risk individuals were assessed. Our findings show that mental disorders, such as depression and anxiety, increase the risk of developing type 2 diabetes and are associated with poorer glycemic control, increased diabetes-related complications, and higher mortality rates. Conversely, diabetes is also linked with an increased risk of developing depression and anxiety. The biological, psychological, and social factors that contribute to the comorbidity between these two conditions are complex and multifaceted. Therefore, an integrated approach to the management of both conditions is critical for improving patient outcomes and reducing the overall burden of disease. Nutritional interventions should be utilized to reduce the risk of diabetes in patients with anxiety and depression as well as enhance mental health in patients with diabetes.

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.

Care home residents’ quality of life and its association with CQC ratings and workforce issues: the MiCareHQ mixed-methods study

Background

Care home staff have a critical bearing on quality. The staff employed, the training they receive and how well they identify and manage residents’ needs are likely to influence outcomes. The Care Act 2014 (Great Britain. The Care Act 2014. London: The Stationery Office; 2014) requires services to improve ‘well-being’, but many residents cannot self-report and are at risk of exclusion from giving their views. The Adult Social Care Outcomes Toolkit enables social care-related quality of life to be measured using a mixed-methods approach. There is currently no equivalent way of measuring aspects of residents’ health-related quality of life. We developed new tools for measuring pain, anxiety and depression using a mixed-methods approach. We also explored the relationship between care home quality, residents’ outcomes, and the skill mix and employment conditions of the workforce who support them.

Objectives

The objectives were to develop and test measures of pain, anxiety and depression for residents unable to self-report; to assess the extent to which regulator quality ratings reflect residents’ care-related quality of life; and to assess the relationship between aspects of the staffing of care homes and the quality of care homes.

Design

This was a mixed-methods study.

Setting

The setting was care homes for older adults in England.

Participants

Care home residents participated.

Results

Three measures of pain, anxiety and low mood were developed and tested, using a mixed-methods approach, with 182 care home residents in 20 care homes (nursing and residential). Psychometric testing found that the measures had good construct validity. The mixed-methods approach was both feasible and necessary with this population, as the majority of residents could not self-report. Using a combined data set (n = 475 residents in 54 homes) from this study and the Measuring Outcomes in Care Homes study (Towers AM, Palmer S, Smith N, Collins G, Allan S. A cross-sectional study exploring the relationship between regulator quality ratings and care home residents’ quality of life in England. Health Qual Life Outcomes 2019;17:22) we found a significant positive association between residents’ social care-related quality of life and regulator (i.e. Care Quality Commission) quality ratings. Multivariate regression revealed that homes rated ‘good/outstanding’ are associated with a 12% improvement in mean current social care-related quality of life among residents who have higher levels of dependency. Secondary data analysis of a large, national sample of care homes over time assessed the impact of staffing and employment conditions on Care Quality Commission quality ratings. Higher wages and a higher prevalence of training in both dementia and dignity-/person-centred care were positively associated with care quality, whereas high staff turnover and job vacancy rates had a significant negative association. A 10% increase in the average care worker wage increased the likelihood of a ‘good/outstanding’ rating by 7%.

Limitations

No care homes rated as inadequate were recruited to the study.

Conclusions

The most dependent residents gain the most from homes rated ‘good/outstanding’. However, measuring the needs and outcomes of these residents is challenging, as many cannot self-report. A mixed-methods approach can reduce methodological exclusion and an over-reliance on proxies. Improving working conditions and reducing staff turnover may be associated with better outcomes for residents.

Future work

Further work is required to explore the relationship between pain, anxiety and low mood and other indicators of care homes quality and to examine the relationship between wages, training and social care outcomes.

Funding

This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 9, No. 19. See the NIHR Journals Library website for further project information.

Determinants of anxiety and depression in patients with cubital tunnel syndrome

BACKGROUND

The aim of this cross-sectional study to assess the proportions of anxiety and depression in patients with CuTS, and to explore the associated demographic and clinical features.

METHODS

From May 2011 to January 2017, 246 patients diagnosed with CuTS were recruited. The Hospital Anxiety and Depression Scale was used to assess the proportions of depression and anxiety. Patient demographic and clinical data were collected. Univariate analysis and multivariate regression were carried out to identify the variables that were independently associated with anxiety and depression.

RESULTS

The proportions of depression and anxiety were 17.9% (n = 44) and 14.2% (n = 35), respectively. Five patients had both possible/probable anxiety and depression. Logistic regression analysis revealed that diabetes mellitus was independently associated with depression; and the modified McGowan grade was independently associated with anxiety.

CONCLUSIONS

In patients with CuTS, the proportions of depression and anxiety were 17.9% and 14.2%, respectively. Early screening for anxiety and depression is beneficial for patients with CuTS.

Implications of the COVID-19 Pandemic for Cardiovascular Disease and Risk-Factor Management

COVID-19 and our public health responses to the pandemic may have far-reaching implications for cardiovascular (CV) risk, affecting the general population and not only survivors of COVID-19. In this narrative review, we discuss how the pandemic may affect general CV risk for years to come and explore the mitigating potential of telehealth interventions. From a health care perspective, the shift away from in-person office visits may have led many to defer routine risk- factor management and may have had unforeseen effects on continuity of care and adherence. Fear of COVID-19 has led some patients to forego care for acute CV events. Curtailment of routine outpatient laboratory testing has likely delayed intensification of risk-factor–modifying medical therapy, and drug shortages and misinformation may have negative impacts on adherence to antihypertensive, glucose-lowering, and lipid-lowering agents. From a societal perspective, the unprecedented curtailment of social and economic activities has led to loss of income, unemployment, social isolation, decreased physical activity, and increased frequency of depression and anxiety, all of which are known to be associated with worse CV risk-factor control and outcomes. We must embrace and evaluate measures to mitigate these potential harms to avoid an epidemic of CV morbidity and mortality in the coming years that could dwarf the initial health effects of COVID-19.

Comorbid depressive and anxiety symptoms and the risk of type 2 diabetes: Findings from the Lifelines Cohort Study

BACKGROUND

Prior studies indicate that depression is a risk factor for type 2 diabetes (T2D), though there is considerable heterogeneity in reported estimates. Identifying homogeneous subgroups of depression strongly associated with T2D may be beneficial. This study examined associations between depression and anxiety comorbidity with the risk of T2D.

METHODS

78,025 participants from the Lifelines Cohort Study (age range = 30-75 years) without diabetes at baseline were included in this study. The Mini-International Neuropsychiatric Interview assessed depressive and anxiety symptoms at baseline. Incident T2D was assessed by self-report or hemoglobin A1c levels during an approximately 3.8-year follow-up period. Risk of T2D was compared across four groups (no depressive or anxiety symptoms, depressive symptoms alone, anxiety symptoms alone, comorbid depressive/anxiety symptoms) using mixed effects logistic regression analyses adjusted for sociodemographic, lifestyle, and cardiometabolic characteristics.

RESULTS

1,096 participants developed diabetes. Compared to those without depressive or anxiety symptoms (n = 74,467), those with comorbid depressive and anxiety symptoms (n = 743) were more likely to develop T2D (n = 28, OR = 2.12, 95% CI = 1.22-3.68). Depressive symptoms alone (n = 650) and anxiety symptoms alone (n = 2,165) were not significantly associated with T2D (n = 23 and n = 24, respectively, developed diabetes). Those with comorbid symptoms were also more likely to develop T2D compared to those with depressive symptoms alone (OR = 2.86, 95% CI = 1.25-6.54).

LIMITATIONS

Depressive and anxiety symptom assessments were based on a screening tool. Hemoglobin A1c data were only available for a subset of participants.

CONCLUSIONS

Depression with comorbid anxiety may be a subgroup of depression that is strongly associated with the risk of T2D.

Investigating the longitudinal association between diabetes and anxiety: a systematic review and meta-analysis

AIM

Previous research has indicated an association between diabetes and anxiety. However, no synthesis has determined the direction of this association. The aim of this study was to determine the longitudinal relationship between anxiety and diabetes.

METHODS

We searched seven databases for studies examining the longitudinal relationship between anxiety and diabetes. Two independent reviewers screened studies from a population aged 16 or older that examined either anxiety as a risk factor for incident diabetes or diabetes as a risk factor for incident anxiety. Studies that met eligibility criteria were put forward for data extraction and meta-analysis.

RESULTS

In total 14 studies (n = 1 760 800) that examined anxiety as a risk factor for incident diabetes and two (n = 88 109) that examined diabetes as a risk factor for incident anxiety were eligible for inclusion in the review. Only studies examining anxiety as a risk factor for incident diabetes were put forward for the meta-analysis. The least adjusted (unadjusted or adjusted for age only) estimate indicated a significant association between baseline anxiety with incident diabetes (odds ratio 1.47, 1.23-1.75). Furthermore, most-adjusted analyses indicated a significant association between baseline anxiety and incident diabetes. Included studies that examined diabetes to incident anxiety found no association.

CONCLUSIONS

There was an association between baseline anxiety and incident diabetes. The results also indicate the need for more research to examine the direction of association from diabetes to incident anxiety. This work adds to the growing body of evidence that poor mental health increases the risk of developing diabetes.

Quantitative assessment of the bidirectional relationships between diabetes and depression

Diabetes and depression impose an enormous public health burden and the present study aimed to assess quantitatively the bidirectional relationships between the two disorders. We searched databases for eligible articles published until October 2016. A total of 51 studies were finally included in the present bidirectional meta-analysis, among which, 32 studies were about the direction of depression leading to diabetes, and 24 studies about the direction of diabetes leading to depression. Pooled results of the 32 eligible studies covering 1274337 subjects showed that depression patients were at higher risk for diabetes (odds ratio (OR) = 1.34, 95% confidence intervals (CI) = [1.23, 1.46]) than non-depressive subjects. Further gender-subgroup analysis found that the strength of this relationship was stronger in men (OR = 1.63, 95%CI = [1.48, 1.78]) than in women (OR = 1.29, 95%CI = [1.07, 1.51]). For the direction of diabetes leading to depression, pooled data of 24 articles containing 329658 subjects showed that patients with diabetes were at higher risk for diabetes (OR = 1.28, 95%CI = [1.15, 1.42]) than non-diabetic subjects. The available data supports that the relationships between diabetes and depression are bidirectional and the overall strengths are similar in both directions. More mechanistic studies are encouraged to explore the molecular mechanisms underlying the relationships between the two diseases.

Clinical Trials.Gov: A Topical Analyses

ClinicalTrials.gov was established as a web-based registry for clinical trials of human participants in 2000. Mandatory registration started in 2008. Given more than a decade of registered trials, it's important to understand the "topic" areas and their evolution over time from this resource. This information may help in identifying current knowledge gaps. We use dynamic topic model (DTM) methods to discover topics and their evolution over last 17 years. Our model suggests that there are disease or organ specific trials such as 'Cardiovascular disorders', Heart & Brain conditions', or 'Breast & Prostate cancer' as well as trials registered for general health. General health trials are less likely to be FDA regulated, but both health and pain management, as well as surgical, heart, and brain trials have upward trend in recent years while advanced cancer trials have downward trended. Our model derives unique insights from metadata associated with each topic area.

Environmental/lifestyle factors in the pathogenesis and prevention of type 2 diabetes

BACKGROUND

Environmental and lifestyle changes, in addition to the ageing of populations, are generally believed to account for the rapid global increase in type 2 diabetes prevalence and incidence in recent decades.

DISCUSSION

In this review, we present a comprehensive overview of factors contributing to diabetes risk, including aspects of diet quality and quantity, little physical activity, increased monitor viewing time or sitting in general, exposure to noise or fine dust, short or disturbed sleep, smoking, stress and depression, and a low socioeconomic status. In general, these factors promote an increase in body mass index. Since loss of β-cell function is the ultimate cause of developing overt type 2 diabetes, environmental and lifestyle changes must have resulted in a higher risk of β-cell damage in those at genetic risk. Multiple mechanistic pathways may come into play.

CONCLUSIONS

Strategies of diabetes prevention should aim at promoting a 'diabetes-protective lifestyle' whilst simultaneously enhancing the resistance of the human organism to pro-diabetic environmental and lifestyle factors. More research on diabetes-protective mechanisms seems warranted.

Environmental/lifestyle factors in the pathogenesis and prevention of type 2 diabetes

BACKGROUND

Environmental and lifestyle changes, in addition to the ageing of populations, are generally believed to account for the rapid global increase in type 2 diabetes prevalence and incidence in recent decades.

DISCUSSION

In this review, we present a comprehensive overview of factors contributing to diabetes risk, including aspects of diet quality and quantity, little physical activity, increased monitor viewing time or sitting in general, exposure to noise or fine dust, short or disturbed sleep, smoking, stress and depression, and a low socioeconomic status. In general, these factors promote an increase in body mass index. Since loss of β-cell function is the ultimate cause of developing overt type 2 diabetes, environmental and lifestyle changes must have resulted in a higher risk of β-cell damage in those at genetic risk. Multiple mechanistic pathways may come into play.

CONCLUSIONS

Strategies of diabetes prevention should aim at promoting a 'diabetes-protective lifestyle' whilst simultaneously enhancing the resistance of the human organism to pro-diabetic environmental and lifestyle factors. More research on diabetes-protective mechanisms seems warranted.