Anxiety, Distress and Stress among Patients with Diabetes during COVID-19 Pandemic: A Systematic Review and Meta-Analysis

Impact of the COVID-19 pandemic on type 2 diabetes care and factors associated with care disruption in Kenya and Tanzania

BACKGROUND

The COVID-19 pandemic affected healthcare delivery globally, impacting care access and delivery of essential services.

OBJECTIVES

We investigated the pandemic's impact on care for patients with type 2 diabetes and factors associated with care disruption in Kenya and Tanzania.

METHODS

A cross-sectional study was conducted among adults diagnosed with diabetes pre-COVID-19. Data were collected in February-April 2022 reflecting experiences at two time-points, three months before and the three months most affected by the COVID-19 pandemic. A questionnaire captured data on blood glucose testing, changes in medication prescription and access, and healthcare provider access.

RESULTS

We recruited 1000 participants (500/country). Diabetes care was disrupted in both countries, with 34.8% and 32.8% of the participants reporting change in place and frequency of testing in Kenya, respectively. In Tanzania, 12.4% and 17.8% reported changes in location and frequency of glucose testing, respectively. The number of health facility visits declined, 14.4% (p < 0.001) in Kenya and 5.6% (p = 0.001) in Tanzania. In Kenya, there was a higher likelihood of severe care disruption among insured patients (adjusted odds ratio [aOR] 1.56, 95% confidence interval [CI][1.05-2.34]; p = 0.029) and a lower likelihood among patients residing in rural areas (aOR, 0.35[95%CI, 0.22-0.58]; p < 0.001). Tanzania had a lower likelihood of severe disruption among insured patients (aOR, 0.51[95%CI, 0.33-0.79]; p = 0.003) but higher likelihood among patients with low economic status (aOR, 1.81[95%CI, 1.14-2.88]; p = 0.011).

CONCLUSIONS

COVID-19 disrupted diabetes care more in Kenya than Tanzania. Health systems and emergency preparedness should be strengthened to ensure continuity of service provision for patients with diabetes.

Impact effects of COVID-19 pandemic on chronic disease patients: A longitudinal prospective study

AIMS

To assess the effects of COVID-19 pandemic on clinical variables as part of the routine clinical monitoring of patients with chronic diseases in primary care.

DESIGN

A prospective longitudinal study was conducted in primary care centres of the Andalusian Health Service.

METHODS

Data were recorded before the pandemic (T1), during the declaration of the state of emergency (T2) and in the transition phase (T3). The Barthel index and the Short Portable Mental Status Questionnaire (SPMSQ) were used to analyse functional and cognitive changes at the three time points. HbA1c, systolic and diastolic blood pressure, heart rate, BMI and lipid levels were assessed as clinical variables. Descriptive statistics and non-parametric chi-square test were used for analysis. STROBE checklist was used for the preparation of this paper.

RESULTS

A total fo148 patients with chronic conditions were included in the analysis. Data analysis revealed in T2 only significant reductions in BMI, total levels of cholesterol and HDL during the onset of the pandemic. Barthel Index, SPMSQ, blood pressure and triglycerides and LDL levels worsened in T2, and the negative effects were maintained in T3. Compared to pre-pandemic values, HbA1c levels improved in T3, but HDL levels worsened.

CONCLUSIONS

COVID-19 has drastically disrupted several functional, cognitive and biological variables. These results may be useful in identifying clinical parameters that deserve closer attention in the case of a new health crisis. Further studies are needed to assess the potential impacts of each specific chronic condition.

IMPACT

Cognitive and functional status, blood pressure and triglycerides and LDL levels worsen in short term, maintaining the negative effects in medium-term.

Prevalence and Associated Factors of Psychological Distress Among Diabetic Patients at Thyolo District Hospital in Malawi: A Hospital-Based Cross-Sectional Study

Background

Emotional distress experienced by individuals with diabetes represents a type of psychological strain specific to the challenges posed by diabetes. It mirrors the emotional reactions arising from coping with the demands of the illness and the essential care associated with diabetes. The study aimed to determine the prevalence and associated factors of psychological distress among diabetic patients at Thyolo District Hospital in Malawi.

Objective

To determine the prevalence and associated factors of psychological distress among diabetic patients at Thyolo District Hospital in Malawi.

Methods

The cross-sectional study involved 171 participants chosen using a simple random sampling technique at Thyolo District Hospital. The study was conducted from June 28 to July 27, 2023. The data were inputted into SPSS version 23.0, and descriptive statistics were employed for analysis. Cross-tabulation, utilizing Pearson chi-square, and correlation analysis were performed. The statistical significance level was established at P <0.05.

Results

Out of the 171 participants included in the study, 44 (25.7%) reported experiencing diabetic distress. According to levels of psychological distress, the study reports that 27 (15.8%) had mild depression, while 5 (2.9%) presented with moderate depression and 1 (0.6%) had extremely severe depression. As regards to levels of anxiety, 14 (8.2%) had mild anxiety, while 5 (2.9%) had moderate anxiety. In terms of stress levels, only one participant (0.6%) reported mild stress, and an equal proportion reported moderate stress. Additionally, age was identified as a significant factor associated with psychological distress, with a p-value of 0.001.

Conclusion

Approximately 33% of the diabetic patients involved in this study revealed psychological distress, and this condition showed a statistically significant association with age. Conducting routine assessments and implementing early control measures for the associated factors are crucial in mitigating both the prevalence and the impact of psychological distress among diabetic patients.

Determinants of anxiety and depression among type 2 diabetes mellitus patients: A hospital-based study in Bangladesh amid the COVID-19 pandemic

Anxiety and depression are common psychological disorders in patients with type 2 diabetes mellitus (T2DM), which was upsurging worldwide amid the COVID-19 pandemic. This study aimed to explore factors associated with anxiety and depression among T2DM patients in Bangladesh during the COVID-19 pandemic. A cross-sectional study was conducted among T2DM patients using face-to-face interviews. Anxiety and depressive symptoms were measured using the CAS and PHQ-9 scales. Outcomes were assessed including sociodemographic, lifestyle, anthropometric, and challenges of getting routine medical and healthcare access-related questions. The prevalence of anxiety and depressive symptoms were 29.8% and 22.7%, respectively. Regression analysis reported that males older than 50 years, illiterate, unemployed or retired, urban residents, below the recommended level of moderate to vigorous physical activity (MVPA), low dietary diversity score (DDS) and obese respondents were associated with higher odds of anxiety and depressive symptoms. Moreover, respondents with transport difficulties, unaffordable medicine, medicine shortages, close friends or family members diagnosed with COVID-19 and financial problems during COVID-19 had higher odds of anxiety and depressive symptoms than their counterparts, respectively. Our study suggests providing psychological support, such as home-based psychological interventions, and highlighting policy implications to ensure the well-being of T2DM patients in Bangladesh during the pandemic.

Prevalence and Correlators of Diabetes Distress in Adults with Type 2 Diabetes: A Cross-Sectional Study

Purpose

To address the prevalence of diabetes distress (DD) and its correlators in adults with type 2 diabetes.

Patients and Methods

During 2021 and 2022, we conducted a cross-sectional study in three Class A tertiary comprehensive hospitals in China, and received 947 participants who completed a printed survey covering DD, demographic, diabetic, physiological, and psychosocial factors. We used Jonckheere-Terpstra, chi-square, and Fisher's exact tests to assess intergroup differences between different levels of DD. We used ordinal logistic regression analysis to analyze correlators of DD further.

Results

The prevalence of DD was 34.64%. In univariate analysis, those with lower satisfaction with financial status, longer durations of diabetes, more complications, higher glycemia, more severe insomnia, treatment by medications only, poorer lifestyle interventions, fewer self-care activities, more types and frequencies of insulin injections, and spending more money and time on treatment were susceptible to DD. Type D personality, negative illness perceptions, negative coping styles, and psychological effects of major life events were related to higher DD. Hope, self-efficacy, positive coping styles, and social support can reduce DD. In ordinal logistic regression analysis, hypoglycemic episode (β=-1.118, p=0.019, "have hypoglycemic" as reference) and Brief Illness Perception Questionnaire (β=0.090, p<0.001) were significant positive correlators for DD, while diet intervention (β=0.803, p=0.022, "have diet intervention" as reference), money spent on diabetes treatment (β<-0.001, p=0.035), and SES (β=-0.257, p<0.001) were significant negative correlators.

Conclusion

More than one-third of Chinese adults with type 2 diabetes experience moderate or high levels of DD. DD was associated with financial, diabetic, physiological, and psychosocial status.

The Effect of a Patient Activation Tailored Intervention on Type 2 Diabetes Self-Management and Clinical Outcomes: A Study from Saudi Arabian Primary Care Settings

Background

Type 2 diabetes mellitus (T2DM) is a global public health challenge. T2DM self-management, including diet, physical activity, blood glucose self-monitoring, foot care, and adherence to medication, is considered a primary tool for managing diabetes. Patient activation, an individual's knowledge, skill, and confidence in managing their health and healthcare, was recognized to be associated with better T2DM self-management and clinical outcomes. Patient activation intervention has been described as a potential approach for enhancing chronic disease self-management. This study is aimed at examining the effect of a patient activation-tailored intervention on T2DM self-management and clinical outcomes in primary care settings in Saudi Arabia.

Method

A pre- and postintervention study was conducted among ≥18 years old T2DM patients attending primary healthcare centers in Saudi Arabia. Collected data included demographics, clinical data, the Patient Activation Measure (PAM), the Summary of Diabetes Self-Care Activities (SDSCA), the diabetes knowledge test (DKT2), the problem area in diabetes test (PAID-5), and the diabetes quality of life test (DQOL). The intervention was tailored based on the participants' patient activation level. The intervention consisted of monthly face-to-face sessions for three months and a telephone follow-up per month for three months postintervention. Descriptive statistics, a paired sample t-test for scale variables, and Wilcoxon's signed-rank test for categorical variables were used for data analysis.

Results

A total of 82 patients, mostly female (61%) with a mean age of 51.3 ± 9.9 years old, completed baseline and postintervention surveys. After six months of intervention, there was a significant change in patient activation score from 54.74 to 61.58 (p < 0.001), hemoglobin A1c (HbA1c) from 8.38 to 7.55 (p < 0.001), and body mass index (BMI) from 30.90 to 29.16 (p < 0.001). Also, there was a significant change in SDSCA scores (diet from 3.12 to 3.67, exercise from 2.54 to 3.49, and blood glucose self-testing from 2.37 to 3.24) (p < 0.001) and DKT from 6.29 to 7.22 (p = 0.01).

Conclusion

Our findings suggested that tailoring interventions based on patients' activation levels is more likely to yield promising T2DM self-management and clinical outcomes.

The published trend of studies on COVID-19 and diabetes: bibliometric analysis

Background

Since the COVID-19 pandemic outbreak, diabetes mellitus (DM) has been at the core of the confirmed risk factors for fatal or critical care unit-treated COVID-19 and COVID-19 related complications. Although relevant studies on DM have developed rapidly during the COVID-19 pandemic. However, the aforementioned research results have not been systematically quantified by means of bibliometric analysis.

Purpose

The purpose of this study is to provide a comprehensive analysis of the current status and trends of publications related to DM research during the COVID19 epidemic.

Methods

A bibliometric analysis was performed using the Web of Science database. In this study, we used citespace, R software and R-Bibliometrix to analyze keywords, most-cited authors, most-cited countries, most-cited global documents, and co-occurrence and co-citation networks.

Results

A total of 1688 publications was included in this study. Investigators from the United States contributed the most publications. The United States, China and Europe have the most collaboration with the other countries/regions. A total of 3355 institutions made contributions to this study. Of the top 10 institutions with the most publications, N8 Research Partnership showed the most centrality. Among the top 10 journals, Diabetes Research and Clinical Practice published the most articles. Among authors included, Khunti Kamlesh is rated first with 27 papers and has the highest centrality. The most frequently co-cited article is entitled "Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study". The most popular keywords included diabetes, mortality, diabetes, outcome, occurrences, risk, and type 1 diabetes.

Conclusion

This bibliometric study provides an overall picture of DM research and research trends during the COVID-19 pandemic and provides a basis for researchers to develop their next research strategies.

Health-related quality of life and depressive symptoms of patients with chronic diseases and the general population before and during the COVID-19 pandemic in Korea

Objective

The unprecedented coronavirus disease 2019 (COVID-19) outbreak has resulted in a global crisis that negatively impacted physical well-being and mental health. Our goal was to investigate the impact of the COVID-19 pandemic on health-related quality of life (HRQoL) and depressive symptoms in patients with chronic diseases and the general population in Korea.

Methods

Data from 8341 patients with chronic diseases and 12,395 general population aged ≥20 years who participated in the Korea National Health and Nutrition Examination Survey (2017-2020) were analyzed. Patients with hypertension, dyslipidemia, diabetes, cerebrovascular disease (stroke), heart disease (myocardial infarction or angina pectoris), or cancer were classified as patients with chronic diseases. The general population was defined as those not suffering from corresponding chronic diseases. A modified EuroQol-5 Dimensions (EQ-5D), with three levels (0: extreme problems; 0.5: some problems; 1: no problems) for each dimension in EQ-5D, was used to assess HRQoL. To analyze depressive symptoms among patients with chronic diseases and the general population, we used the Patient Health Questionnaire-9 (PHQ-9) and defined a PHQ-9 score ≥ 10 as having a depressive symptom. Multivariate linear and logistic regression analyses were used to analyze HRQoL and depressive symptoms before and during the COVID-19 pandemic.

Results

The HRQoL level was significantly lower in patients with chronic diseases compared to the general population on all dimensions both before and during the COVID-19 pandemic (all value of p < 0.05). Patients with chronic diseases had significantly lower HRQoL levels associated with the anxiety/depression dimension during the COVID-19 pandemic than in the pre-pandemic period (0.940 ± 0.002 vs. 0.929 ± 0.004, value of p = 0.041). In addition, patients with chronic diseases were more likely to report depressive symptoms during the COVID-19 pandemic than in the pre-pandemic period (Odds ratio (OR): 1.755, 95% confidence interval (CI): 1.209-2.546, value of p = 0.003). However, this association was not observed in the general population (OR: 1.275, 95% CI: 0.933-1.742, value of p = 0.13).

Conclusion

The COVID-19 pandemic affected the HRQoL and psychological health in patients with chronic diseases with higher anxiety/depression during the pandemic than in the pre-pandemic period. These results suggest that it is urgent to establish continuous management guidelines, including psychosocial management for high-risk groups, and to improve the existing healthcare system.

Prevalence of Depression and Related Factors among Patients with Chronic Disease during the COVID-19 Pandemic: A Systematic Review and Meta-Analysis

The management of chronic diseases in the midst of the COVID-19 pandemic is especially challenging, and reducing potential psychological harm is essential. This review aims to determine the prevalence of depression during the COVID-19 pandemic in patients with chronic disease, and to characterize the impacts of related factors. A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The meta-analysis was performed using StatsDirect software. The review identified 33 articles with a total of 50,905 patients with chronic diseases. Four meta-analyses were performed to estimate the prevalence of depression. In diabetic patients, the prevalence ranged from 17% (95% CI = 7-31) (PHQ-9) to 33% (95% CI = 16-51) (PHQ-8); in obese patients, the prevalence was 48% (95% CI = 26-71); and in hypertensive patients, the prevalence was 18% (95% CI = 13-24). The factors significantly associated with depression were female sex, being single, deterioration in the clinical parameters of diabetes, a decrease in self-care behavior, reduced physical activity and sleep time and fear of contagion. The COVID-19 pandemic has significantly increased levels of depression among persons with chronic disease. Pandemics and other emergency events have a major impact on mental health, so early psychological interventions and health management policies are needed to reinforce chronic patients' physical and mental health.