Emotional Regulation and Diabetes Distress in Adults With Type 1 and Type 2 Diabetes

Challenges faced by internally displaced diabetes patients in managing their health during a conflict: a qualitative study

BACKGROUND

This study examines the experiences of diabetic patients who were displaced during the Israel-Hamas conflict, highlighting the substantial challenges they face in managing their health under these circumstances.

METHODS

A qualitative-phenomenological approach was employed, focusing on the experiences of 14 individuals with diabetes who were displaced during the conflict. Data were collected through semi-structured interviews and subsequently subjected to content analysis.

RESULTS

Three central themes emerged: (1) "I left without clothes and medications": Participants described the chaotic evacuation process and the difficulty in maintaining diabetes care without their supplies. (2) "Dual coping": Participants struggled with managing their diabetes while adapting to new, temporary living conditions that disrupted their care routines. (3) Seeking inner resilience while drawing strength from external support: This theme reflected the importance of internal resilience and support from family, friends, and healthcare professionals in coping with health management and displacement challenges.

CONCLUSIONS

The study underscores the significant challenges diabetes patients face during conflict evacuation, including disruptions in their routine care, heightened psychological stress, and the essential role of support systems. These findings underscore the need for emergency preparedness plans to ensure continuity of care for patients with chronic conditions during crises.

Comparing the effectiveness of acceptance-based emotion regulation therapy and acceptance and commitment therapy on hemoglobin glycosylated and self-care in patients with type II diabetes: A randomized controlled trial

Type 2 diabetes (T2D) is a chronic metabolic disorder characterized by impaired glucose regulation. This study aimed to compare the effectiveness of Acceptance-Based Emotion Regulation Therapy (ABERT) and Acceptance and Commitment Therapy (ACT) on HbA1c levels and self-care behaviors in patients living with T2D. Participants were randomly assigned to ABERT (n = 16), ACT (n = 17), and control (n = 17) groups. The treatment groups received therapy based on treatment manuals, while the control group received treatment as usual (i.e., standard medical treatment). Assessments were conducted pre- and post-treatment, with a six-month follow-up, measuring HbA1c levels and self-care behaviors. Results from repeated-measures ANOVAs and post-hoc analysis demonstrated that both ABERT and ACT led to significant improvements compared to the control group. However, ABERT was more effective than ACT in reducing HbA1c levels and enhancing self-care behaviors, with sustained benefits observed in the long term. At the individual level, a higher percentage of participants in the ACT and ABERT groups experienced a global improvement in HbA1c compared to the control group during the post-test assessment. Furthermore, a higher percentage of participants in the ABERT group showed global improvement compared to both the ACT and control groups in the post-test to follow-up period. No statistically significant differences in self-care behaviors were observed between the groups at the individual level. These findings suggest that the ABERT may be a valuable intervention for individuals living with T2D, though more studies are needed to examine this subject.

Nocturnal hypoglycemia is associated with next day cognitive performance in adults with type 1 diabetes: Pilot data from the GluCog study

OBJECTIVE

 Individuals with type 1 diabetes (T1D) have increased risk for cognitive dysfunction and high rates of sleep disturbance. Despite associations between glycemia and cognitive performance using cross-sectional and experimental methods few studies have evaluated this relationship in a naturalistic setting, or the impact of nocturnal versus daytime hypoglycemia. Ecological Momentary Assessment (EMA) may provide insight into the dynamic associations between cognition, affective, and physiological states. The current study couples EMA data with continuous glucose monitoring (CGM) to examine the within-person impact of nocturnal glycemia on next day cognitive performance in adults with T1D. Due to high rates of sleep disturbance and emotional distress in people with T1D, the potential impacts of sleep characteristics and negative affect were also evaluated.

METHODS

 This pilot study utilized EMA in 18 adults with T1D to examine the impact of glycemic excursions, measured using CGM, on cognitive performance, measured via mobile cognitive assessment using the TestMyBrain platform. Multilevel modeling was used to test the within-person effects of nocturnal hypoglycemia and hyperglycemia on next day cognition.

RESULTS

 Results indicated that increases in nocturnal hypoglycemia were associated with slower next day processing speed. This association was not significantly attenuated by negative affect, sleepiness, or sleep quality.

CONCLUSIONS

 These results, while preliminary due to small sample size, showcase the power of intensive longitudinal designs using ambulatory cognitive assessment to uncover novel determinants of cognitive fluctuation in real world settings, an approach that may be utilized in other populations. Findings suggest reducing nocturnal hypoglycemia may improve cognition in adults with T1D.

Reliability and Validity of Ecological Momentary Assessment Response Time-Based Measures of Emotional Clarity: Secondary Data Analysis

BACKGROUND

Emotional clarity has often been assessed with self-report measures, but efforts have also been made to measure it passively, which has advantages such as avoiding potential inaccuracy in responses stemming from social desirability bias or poor insight into emotional clarity. Response times (RTs) to emotion items administered in ecological momentary assessments (EMAs) may be an indirect indicator of emotional clarity. Another proposed indicator is the drift rate parameter, which assumes that, aside from how fast a person responds to emotion items, the measurement of emotional clarity also requires the consideration of how careful participants were in providing responses.

OBJECTIVE

This paper aims to examine the reliability and validity of RTs and drift rate parameters from EMA emotion items as indicators of individual differences in emotional clarity.

METHODS

Secondary data analysis was conducted on data from 196 adults with type 1 diabetes who completed a 2-week EMA study involving the completion of 5 to 6 surveys daily. If lower RTs and higher drift rates (from EMA emotion items) were indicators of emotional clarity, we hypothesized that greater levels (ie, higher clarity) should be associated with greater life satisfaction; lower levels of neuroticism, depression, anxiety, and diabetes distress; and fewer difficulties with emotion regulation. Because prior literature suggested emotional clarity could be valence specific, EMA items for negative affect (NA) and positive affect were examined separately.

RESULTS

Reliability of the proposed indicators of emotional clarity was acceptable with a small number of EMA prompts (ie, 4 to 7 prompts in total or 1 to 2 days of EMA surveys). Consistent with expectations, the average drift rate of NA items across multiple EMAs had expected associations with other measures, such as correlations of r=-0.27 (P<.001) with depression symptoms, r=-0.27 (P=.001) with anxiety symptoms, r=-0.15 (P=.03) with emotion regulation difficulties, and r=0.63 (P<.001) with RTs to NA items. People with a higher NA drift rate responded faster to NA emotion items, had greater subjective well-being (eg, fewer depression symptoms), and had fewer difficulties with overall emotion regulation, which are all aligned with the expectation for an emotional clarity measure. Contrary to expectations, the validities of average RTs to NA items, the drift rate of positive affect items, and RTs to positive affect items were not strongly supported by our results.

CONCLUSIONS

Study findings provided initial support for the validity of NA drift rate as an indicator of emotional clarity but not for that of other RT-based clarity measures. Evidence was preliminary because the sample size was not sufficient to detect small but potentially meaningful correlations, as the sample size of the diabetes EMA study was chosen for other more primary research questions. Further research on passive emotional clarity measures is needed.

The mediating role of cognitive flexibility in the relationship between cognitive emotion regulation strategies and mindfulness in patients with type 2 diabetes

INTRODUCTION

This study aimed to examine the mediating role of cognitive flexibility in the relationship between cognitive emotion regulation strategies and mindfulness in patients with type 2 diabetes.

METHODS

The research was conducted by correlation method) using Structural Equation Modeling). The statistical population consisted of all women and men with type 2 diabetes. Two hundred fifty-three samples were selected by convenience sampling method. The participants responded to the Cognitive Emotion Regulation Questionnaire, the Kentucky inventory of mindfulness skills, and the Cognitive Flexibility Inventory.

RESULTS

The results showed that the total path coefficient between the adaptive cognitive emotion regulation strategies and mindfulness (β = 0.243, P = 0.005) was positive and significant, and the total path coefficient between the maladaptive cognitive emotion regulation strategies and mindfulness (β = -0.453, P = 0.001) was negative and significant. The path coefficient between cognitive flexibility and mindfulness (β = 0.273, P = 0.009) was positive and significant. The indirect path coefficient between the adaptive cognitive emotion regulation strategies and mindfulness (β = 0.094, P = 0.007) was positive and significant, and the indirect path coefficient between the maladaptive cognitive emotion regulation strategies and mindfulness (β = -0.117, P = 0.009) was negative and significant.

CONCLUSION

Improving emotion regulation skills increases cognitive flexibility and mindfulness in patients with type 2 diabetes.

Global diabetes burden: analysis of regional differences to improve diabetes care

INTRODUCTION

The current evaluation processes of the burden of diabetes are incomplete and subject to bias. This study aimed to identify regional differences in the diabetes burden on a universal level from the perspective of people with diabetes.

RESEARCH DESIGN AND METHODS

We developed a worldwide online diabetes observatory based on 34 million diabetes-related tweets from 172 countries covering 41 languages, spanning from 2017 to 2021. After translating all tweets to English, we used machine learning algorithms to remove institutional tweets and jokes, geolocate users, identify topics of interest and quantify associated sentiments and emotions across the seven World Bank regions.

RESULTS

We identified four topics of interest for people with diabetes (PWD) in the Middle East and North Africa and another 18 topics in North America. Topics related to glycemic control and food are shared among six regions of the world. These topics were mainly associated with sadness (35% and 39% on average compared with levels of sadness in other topics). We also revealed several region-specific concerns (eg, insulin pricing in North America or the burden of daily diabetes management in Europe and Central Asia).

CONCLUSIONS

The needs and concerns of PWD vary significantly worldwide, and the burden of diabetes is perceived differently. Our results will support better integration of these regional differences into diabetes programs to improve patient-centric diabetes research and care, focused on the most relevant concerns to enhance personalized medicine and self-management of PWD.

The influence of emotion regulation and family involvement on diabetes distress among adults with type 2 diabetes

Adults with diabetes frequently experience diabetes related distress, which is associated with negative health outcomes. Family members are commonly involved in patients' diabetes self-management. However, family involvement can have helpful and/or harmful effects on patients' diabetes outcomes. Use of interpersonal strategies to regulate negative emotions may play a role in patients' interactions with family members and experience of diabetes distress. This study examined the influences of interpersonal emotion regulation and family and friend involvement on diabetes distress among 373 adults with type 2 diabetes. Two separate three-step sequential linear regression models were used to test the main and interactive effects of harmful and helpful family involvement and interpersonal emotion regulation on diabetes distress. Greater use of interpersonal strategies to regulate negative emotions (p = .006) and greater harmful family involvement (p < .001) were significantly associated with greater diabetes distress. Interpersonal emotion regulation moderated the relationship of helpful (p = .007), but not harmful (p = .171) family involvement on diabetes distress. Specifically, greater helpful family involvement was associated with lower diabetes distress among adults with low (p = .017) but not high (p = .419) use of interpersonal strategies to regulate negative emotions. Helpful family involvement appears to be associated with lower diabetes distress, but only among patients with low levels of interpersonal emotion regulation.

Extraction of Explicit and Implicit Cause-Effect Relationships in Patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach

Background

Intervening in and preventing diabetes distress requires an understanding of its causes and, in particular, from a patient’s perspective. Social media data provide direct access to how patients see and understand their disease and consequently show the causes of diabetes distress.

Objective

Leveraging machine learning methods, we aim to extract both explicit and implicit cause-effect relationships in patient-reported diabetes-related tweets and provide a methodology to better understand the opinions, feelings, and observations shared within the diabetes online community from a causality perspective.

Methods

More than 30 million diabetes-related tweets in English were collected between April 2017 and January 2021. Deep learning and natural language processing methods were applied to focus on tweets with personal and emotional content. A cause-effect tweet data set was manually labeled and used to train (1) a fine-tuned BERTweet model to detect causal sentences containing a causal relation and (2) a conditional random field model with Bidirectional Encoder Representations from Transformers (BERT)-based features to extract possible cause-effect associations. Causes and effects were clustered in a semisupervised approach and visualized in an interactive cause-effect network.

Results

Causal sentences were detected with a recall of 68% in an imbalanced data set. A conditional random field model with BERT-based features outperformed a fine-tuned BERT model for cause-effect detection with a macro recall of 68%. This led to 96,676 sentences with cause-effect relationships. “Diabetes” was identified as the central cluster followed by “death” and “insulin.” Insulin pricing–related causes were frequently associated with death.

Conclusions

A novel methodology was developed to detect causal sentences and identify both explicit and implicit, single and multiword cause, and the corresponding effect, as expressed in diabetes-related tweets leveraging BERT-based architectures and visualized as cause-effect network. Extracting causal associations in real life, patient-reported outcomes in social media data provide a useful complementary source of information in diabetes research.

Diabetes distress, emotional regulation, HbA1c in people with diabetes and A controlled pilot study of an emotion-focused behavioral therapy intervention in adults with type 2 diabetes

AIM

One potential barrier for people with diabetes to reach glycemic goals is diabetes distress. Accumulating evidence suggests diabetes distress may be linked to individuals' emotion regulation capacities. Thus, we conducted two studies to elucidate a model for how emotion regulation impacts diabetes distress and A_1c levels and determine preliminary effect size estimates for an intervention targeting poor emotion regulation on glycemic control.

METHODS

Study I used structural equation modeling to assess the cross-sectional relationships between these variables in a sample of 216 individuals with Type 1 and Type 2 diabetes. Study II built on findings from Study I that highlighted the role of emotion regulation capacities in diabetes distress and A_1c by conducting a pilot study of an emotion-focused behavioral intervention compared to treatment as usual in a sample of individuals with Type 2 diabetes.

RESULTS

Study I examined two potential explanatory models with one of the models (Model II) showing a more comprehensive view of the data revealing a total effect of poor emotional regulation of 42% of all effects on A_1c levels. Study II tested an emotion-focused behavioral intervention in patients with Type 2 diabetes compared to treatment as usual and found medium sized reductions in A_1c levels and smaller reductions in diabetes distress that correlated with changes in emotion regulation.

CONCLUSIONS

These studies suggest that, in people with diabetes, elevated A_1c levels and diabetes distress are linked with poor emotion regulation. While the effect sizes from Study 2 are preliminary, an emotion-focused behavioral intervention may reduce both A_1c and diabetes distress levels, through improvements in emotion regulation. Overall, these data suggest that targeting difficulties in emotion regulation may hold promise for maximizing improvement in diabetes distress and A_1c in individuals with diabetes.

Working With Type 1 Diabetes: Investigating the Associations Between Diabetes-Related Distress, Burnout, and Job Satisfaction

The present study investigates the association between diabetes-related distress (DD) and work outcomes (burnout and job satisfaction) among employed people with type 1 diabetes. Employed adults with type 1 diabetes (N = 297) completed an online survey. Measures assessed emotional, social, food- and treatment-related DD, burnout, and job satisfaction, as well as the type of insulin treatment. We conducted multiple regression analyses to test our hypotheses. Emotional DD was significantly and positively associated with burnout. Social DD was significantly and negatively associated with job satisfaction. The type of treatment (insulin pen versus insulin pump) had no significant effect on the outcomes. This study sets the stage for research on the interactions between working conditions, work outcomes and illness symptoms, and problems of people with type 1 diabetes, and, generally, employees with chronic illnesses. The findings have implications for individual health and illness management, burnout prevention, and occupational health measures.

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.

Understanding Worker Well-Being Relative to High-Workload and Recovery Activities across a Whole Day: Pilot Testing an Ecological Momentary Assessment Technique

Occupational health and safety is experiencing a paradigm shift from focusing only on health at the workplace toward a holistic approach and worker well-being framework that considers both work and non-work factors. Aligned with this shift, the purpose of this pilot study was to examine how, within a person, frequencies of high-workload and recovery activities from both work and non-work periods were associated with same day well-being measures. We analyzed data on 45 workers with type 1 diabetes from whom we collected activity data 5-6 times daily over 14 days. More frequent engagement in high-workload activities was associated with lower well-being on multiple measures including higher stress. Conversely, greater recovery activity frequency was mostly associated with higher well-being indicated by lower stress and higher positive affect. Overall, our results provide preliminary validity evidence for measures of high-workload and recovery activity exposure covering both work and non-work periods that can inform and support evaluations of worker well-being.

An Empirical Study on Diabetes Depression over Distress Evaluation Using Diagnosis Statistical Manual and Chi-Square Method

Diabetes distress is an alternative disorder that is often associated with depression syndromes. Psychosocial distress is an alternative disorder that acts as a resistance to diabetes self-care management and compromises diabetes control. Yet, in Nigeria, the focus of healthcare centers is largely inclined toward the medical aspect of diabetes that neglects psychosocial care. In this retrospective study, specific distress was measured by the Diabetes Distress Screening (DDS) scale, and depression was analyzed by the Beck Depression Inventory (BDI) and Diagnosis Statistics Manual (DSM) criteria in type 2 diabetes mellitus (T2DM) patients of Northwestern Nigeria. Additionally, we applied the Chi-square test and linear regression to measure the forecast prevalence ratio and evaluate the link between the respective factors that further determine the odd ratios and coefficient correlations in five nonintrusive variables, namely age, gender, physical exercise, diabetes history, and smoking. In total, 712 sample patients were taken, with 51.68% male and 47.31% female patients. The mean age and body mass index (BMI) was 48.6 years ± 12.8 and 45.6 years ± 8.3. Based on the BDI prediction, 90.15% of patients were found depressed according to the DSM parameters, and depression prevalence was recorded around 22.06%. Overall, 88.20% of patients had DDS-dependent diabetes-specific distress with a prevalence ratio of 24.08%, of whom 45.86% were moderate and 54.14% serious. In sharp contrast, emotion-related distress of 28.96% was found compared to interpersonal (23.61%), followed by physician (16.42%) and regimen (13.21%) distress. The BDI-based matching of depression signs was also statistically significant with p < 0.001 in severe distress patients. However, 10.11% of patients were considered not to be depressed by DSM guidelines. The statistical evidence indicates that depression and distress are closely correlated with age, sex, diabetes history, physical exercise, and smoking influences. The facts and findings in this work show that emotional distress was found more prevalent. This study is significant because it considered several sociocultural and religious differences between Nigeria and large, undeveloped, populated countries with low socioeconomic status and excessive epidemiological risk. Finally, it is important for the clinical implications of T2DM patients on their initial screenings.