The prevalence and predictors of diabetes distress in elderly with type 2 diabetes mellitus

The association of isocarbophos and isofenphos with different types of glucose metabolism: The role of inflammatory cells

To investigate the associations between isocarbophos and isofenphos with impaired fasting glucose (IFG) and type 2 diabetes mellitus (T2DM), and to assess the mediation roles of inflammation cells. There were 2701 participants in the case-control study, including 896 patients with T2DM, 900 patients with IFG, 905 subjects with NGT. Plasma isocarbophos and isofenphos concentrations were measured using gas chromatography and triple quadrupole tandem mass spectrometry. Generalized linear models were used to calculate the relationships between plasma isofenphos and isocarbophos levels with inflammatory factor levels and T2DM. Inflammatory cell was used as mediators to estimate the mediating effects on the above associations. Isocarbophos and isofenphos were positively related with T2DM after adjusting for other factors. The odds ratio (95% confidence interval) (OR (95%CI)) for T2DM was 1.041 (1.015, 1.068) and for IFG was 1.066 (1.009, 1.127) per unit rise in ln-isocarbophos. The prevalence of T2DM increased by 6.4% for every 1 unit more of ln-isofenphos (OR (95% CI): 1.064 (1.041, 1.087)). Additionally, a 100% rise in ln-isocarbophos was linked to 3.3% higher ln-HOMA2IR and a 0.029 mmol/L higher glycosylated hemoglobin (HbA1c) (95% CI: 0.007, 0.051). While a 100% rise in ln-isofenphos was linked to increase in ln-HOMA2 and ln-HOMA2IR of 5.8% and 3.4%, respectively. Furthermore, white blood cell (WBC) and neutrophilic (NE) were found to be mediators in the relationship between isocarbophos and T2DM, and the corresponding proportions were 17.12% and 17.67%, respectively. Isofenphos and isocarbophos are associated with IFG and T2DM in the rural Chinese population, WBC and NE have a significant role in this relationship.

Application of the path analysis model to evaluate the role of distress, mental health literacy and burnout in predicting self-care behaviors among patients with type 2 diabetes

INTRODUCTION

Mental complications of diabetes are one of the main obstacles to the implementation of self -care behaviors that have been less studied. Therefore, this study was conducted to survey the effective factors in predicting burnout and self-care behaviors among patients with type 2 diabetes.

METHODS

In this Path analysis, 1280 patients with type 2 diabetes were selected from Mashhad (Iran) in 2023 to 2024. Four scales, the mental health literacy (MHL) scale, diabetes burnout scale, diabetes distress scale, and self-care behavior scale were used for data gathering. AMOS software checked the direct and indirect paths between the variables.

RESULTS

In the path analysis, variables of MHL and diabetes distress predicted 25% variance of diabetes burnout (R2 = 0.25), and diabetes distress (total effect = 0.491) had the greatest impact on predicting diabetes burnout. Variables of MHL, diabetes distress, and diabetes burnout predicted 12% variance of Self-care behaviors (R2 = 0.12) and MHL (total effect = -0.256), age of onset of diabetes (total effect = 0.199), and diabetes burnout (total effect = - 0.167) had the greatest impact on prediction of self-care behaviors.

CONCLUSION

MHL could reduce diabetes distress and burnout and eventually promote self-care behaviors among patients with type 2 diabetes. Therefore, screening and identifying psychological problems (such as distress and burnout) and designing interventions to increase MHL can ultimately increase the health of patients with diabetes.

The prevalence of diabetes distress among patients with type 2 diabetes in Jordan

Objectives

Diabetes distress (DD) is a state of emotional distress that evolves from living with chronic disease and the burden of daily adjustments of medications and lifestyle. This study investigated the prevalence of DD in patients with type 2 diabetes mellitus (T2DM) in Jordan and the related sociodemographic and medical factors.

Methods

We conducted a cross-sectional study in 608 patients with T2DM in Jordan, ranging from ages 15 to 80 years. The participants filled out a questionnaire where they were asked to self-assess their DD using the Diabetes Distress Scale. In all, 32 participants were excluded according to the exclusion criteria, which resulted in 576 people being included in this study.

Results

The overall prevalence of DD was 53% (25% had moderate distress and 28% had high distress). Emotional distress had the highest prevalence among the DD subscales, with a total prevalence of 58.8%. The data showed a significant association of DD with different factors including age, the presence of diabetic complications, the type of medication used, and medication adherence.

Conclusion

This study showed a high prevalence of DD (53%). This finding should raise awareness to healthcare providers about the importance of screening for DD as part of the treatment guidelines, especially in patients who are on multiple medication regimens for DM; patients who have previous medical complications related to DM; and those who exhibit poor adherence to medications, which was found to be a risk factor of DD in this study.

Translation and localization the Persian version of diabetes distress scale among type 2 diabetes

INTRODUCTION

The aimed of this psychometric cross-sectional research was translation and localization the Persian version of diabetes distress scale in type 2 diabetes.

METHODS

This psychometric cross-sectional research was translation and localization the Persian version of diabetes distress scale among 1028 type 2 diabetes in Mashhad city, Iran, 2022. Cluster sampling method was used for selection the participants. The validity and reliability of diabetes distress scale designed and evaluated by Polonsky was assessed in this study. The validity of diabetes distress scale was evaluated by face validity, content validity, and structural validity. Twenty-six type 2 diabetes were selected for evaluation the reliability of scale.

RESULTS

The factor loading of all questions of diabetes distress scale were more than 0.4 and the results of goodness-of-fit indexes showed acceptable values (for example: RMSEA = 0.076, IFI = 0.909, AGFI = 0.819, PNFI = 0.758). Cronbach's alpha coefficient, McDonald omega coefficient and Intraclass Correlation Coefficient (ICC) showed a value of 0.950, 0.955, and 0.903, respectively for all items of diabetes distress scale. Cronbach's alpha coefficient, McDonald omega coefficient and ICC showed a value of 0.914, 0.917, and 0.893, respectively for Core Level of Distress (8 items). Also, Cronbach's alpha coefficient, McDonald omega coefficient, and ICC showed a value of 0.920, 0.928, and 0.884, respectively for all factors of Sources of Distress (21 items).

CONCLUSION

The Persian form of diabetes distress scale with 29 items and two parts of Core Level of Distress with 8 items and Sources of Distress with 21 items and 7 factors (Hypoglycemia with 3 items, Long-term Health with 3 items, Healthcare Provider with 3 items, Interpersonal Issues with 3 items, Shame/Stigma with 3 items, Healthcare Access with 3 items, and Management Demands with 3 items) is a good scale to evaluation the status of diabetes distress in Iranian type 2 diabetes.

The mediating role of diabetes stigma and self-efficacy in relieving diabetes distress among patients with type 2 diabetes mellitus: a multicenter cross-sectional study

Background

Patients with diabetes mellitus often suffer from diabetes distress. Social support and certain psychological factors potentially influence diabetes distress, but studies exploring the mechanisms underlying these relationships are scarce.

Objectives

To reveal the associations between social support, diabetes stigma, diabetes self-efficacy, and diabetes distress among patients with type 2 diabetes and the underlying mechanisms linking these variables.

Design and methods

A multicenter cross-sectional study was adopted and a sample of 431 patients with type 2 diabetes was investigated. Social support, diabetes stigma, diabetes self-efficacy, and diabetes distress were surveyed with the Perceived Social Support Scale, Type 2 Diabetes Stigma Assessment Scale, Self-Efficacy for Diabetes Scale, and Diabetes Distress Scale, respectively. The hypothesized model was verified using structural equation modeling.

Results

Social support and diabetes stigma had direct associations with diabetes distress. Diabetes stigma mediated the association between social support and diabetes distress, and the association between diabetes self-efficacy and diabetes distress. Diabetes stigma and self-efficacy exerted a chain mediation effect on the association between social support and diabetes distress.

Conclusion

Social support and diabetes stigma were significant predictors of diabetes distress. Diabetes stigma and self-efficacy play essential mediating roles in relieving diabetes distress. This can provide guidance for the development of evidence- and theory-based interventions. Culturally sensitive interventions that aim to provide ongoing social support, decrease diabetes stigma, and enhance self-efficacy have the potential to relieve diabetes distress.

A novel model for predicting prolonged stay of patients with type-2 diabetes mellitus: a 13-year (2010-2022) multicenter retrospective case-control study

BACKGROUND

Length of stay (LOS) is an important metric for evaluating the management of inpatients. This study aimed to explore the factors impacting the LOS of inpatients with type-2 diabetes mellitus (T2DM) and develop a predictive model for the early identification of inpatients with prolonged LOS.

METHODS

A 13-year multicenter retrospective study was conducted on 83,776 patients with T2DM to develop and validate a clinical predictive tool for prolonged LOS. Least absolute shrinkage and selection operator regression model and multivariable logistic regression analysis were adopted to build the risk model for prolonged LOS, and a nomogram was taken to visualize the model. Furthermore, receiver operating characteristic curves, calibration curves, and decision curve analysis and clinical impact curves were used to respectively validate the discrimination, calibration, and clinical applicability of the model.

RESULTS

The result showed that age, cerebral infarction, antihypertensive drug use, antiplatelet and anticoagulant use, past surgical history, past medical history, smoking, drinking, and neutrophil percentage-to-albumin ratio were closely related to the prolonged LOS. Area under the curve values of the nomogram in the training, internal validation, external validation set 1, and external validation set 2 were 0.803 (95% CI [confidence interval] 0.799-0.808), 0.794 (95% CI 0.788-0.800), 0.754 (95% CI 0.739-0.770), and 0.743 (95% CI 0.722-0.763), respectively. The calibration curves indicated that the nomogram had a strong calibration. Besides, decision curve analysis, and clinical impact curves exhibited that the nomogram had favorable clinical practical value. Besides, an online interface ( https://cytjt007.shinyapps.io/prolonged_los/ ) was developed to provide convenient access for users.

CONCLUSION

In sum, the proposed model could predict the possible prolonged LOS of inpatients with T2DM and help the clinicians to improve efficiency in bed management.

Executive function predict the quality of life and negative emotion in older adults with diabetes: A longitudinal study

AIMS

To investigate the influence of executive function (EF) on current and future quality of life (QoL) and negative emotion (NE) in older adults with diabetes.

METHODS

A total of 128 older adults with diabetes were recruited. Independent variables (demographic information, health and medical conditions, cognitive function, life function) were collected in the first year. Dependent variables (QoL and NE) were collected for 3 years. Pearson's correlation coefficient analysis and stepwise multiple linear regression analysis were performed to identify the predictors of QoL and NE.

RESULTS

EF was the strongest predictor for overall QoL and NE in all 3 years, and accounted for 23.0-36.2% and 11.1-17.1% of the variance, respectively. The second strongest predictor for overall QoL in all 3 years was pain interference, which accounted for 3.2-5.8% of the variance. Pain interference was also the second strongest predictor for NE in the second year, accounting for 5.5% of the variance.

CONCLUSIONS

The present study revealed that EF is more predictive than pain for current and future QoL and NE in older adults with diabetes. We recommend that EF be included as an indicator for diabetes surveillance, and that prevention of EF decline be a part of diabetes management plans.

Prevalence and predictors of diabetes distress among adults with type 2 diabetes mellitus: a facility-based cross-sectional study of Bangladesh

INTRODUCTION

Diabetes distress (DD) is common and has considerable impacts on diabetes management. Unfortunately, DD is less discussed and frequently underestimated. This study evaluated the prevalence and predictors of DD in adults with type 2 diabetes mellitus (T2DM).

METHODS

A cross-sectional study was conducted at several specialized endocrinology outpatient clinics in Bangladesh from July 2019 to June 2020; 259 adults with T2DM participated. Participants' DD and depression were measured using the 17-item Diabetes Distress Scale (DDS-17) and 9-item Patient Health Questionnaire (PHQ-9), respectively. DDS-17 scores ≥2 and PHQ-9 scores ≥10 were the cutoffs for DD and significant depression, respectively.

RESULTS

The mean (±SD) age of the participants was 50.36 (±12.7) years, with the majority (54.8%) being male; their median (IQR) duration of diabetes was 6 (3-11) years. Among the study participants, 52.5% had DD (29.7% moderate and 22.8% high DD). The prevalence of emotional burden, physician-related distress, regimen-related distress, and interpersonal distress was 68.7, 28.6, 66, and 37.7%, respectively. Depression was present in 40.5%; 28.6% of the participants had DD and depression. The total DDS-17 score was positively correlated with the PHQ-9 score (r = 0.325, p < 0.001). Rural residence (OR 1.94), presence of any diabetic complication (OR 3.125), insulin use (OR 2.687), and presence of major depression (OR 4.753) were positive predictors of DD. In contrast, age ≥ 40 years at diabetes diagnosis (OR 0.047) and diabetes duration of > 10 years (OR 0.240) were negative predictors of DD (p < 0.05 in all instances).

CONCLUSIONS

The prevalence of DD in our setting is notably high; DD and depression frequently overlap. Screening for diabetes distress may be considered, especially in high-risk patients.

Factors Associated with Diabetes-Related Distress in Patients with Type 2 Diabetes Mellitus

Introduction: The aim of this study was to identify factors associated with diabetes-related distress (DRD) in adult patients with type 2 diabetes mellitus (T2DM).

Material and Methods: This was an analysis of data previously obtained from two cross-sectional studies, in which medical charts review and direct interviews were employed to obtain medical and demographic data. Vital status assessment and anthropometric measurements were performed. The patients filled out specific questionnaires for DRD (DDS-17), symptoms of depression (PHQ-9), and of anxiety (GAD-7). A clinical meaningful threshold for DRD was set at ≥2.0 points. Symptoms of depression and anxiety, number of chronic complications, therapy for T2DM, anthropometric and cardio-metabolic parameters, as well as demographic, socio-economic data, and lifestyle habits were evaluated as factors possibly associated with DRD by univariate and multiple regression analyses.

Results: A total of 271 patients with T2DM were included in this analysis, of whom 25.1% presented a DDS-17 score ≥2 points (and 9.96% a DDS-17 score ≥3). Subjects with a DDS-17 score ≥2 had higher HbA1c levels (p = 0.018), PHQ-9 and GAD-7 scores (p <0.0001 for both). The multiple regression model indicated that anxiety (p = 0.026), depression (p = 0.001), and ethnicity (p = 0.002) were significantly correlated with DRD (p <0.0001). With regards to subscales, the HbA1c (p = 0.005) and PHQ-9 score (p <0.0001) were significantly associated with emotional burden, ethnicity (p = 0.001) and depression (p = 0.004) with regimen-related distress, whereas ethnicity (p = 0.010) and GAD-7 score (p = 0.012) with interpersonal distress.

Conclusions: Psychosocial factors like depression, anxiety, or ethnicity significantly contribute to DRD in patients with T2DM, and worse glycemic control is associated with emotional burden.

Age-Related Differences in Mood, Diabetes-Related Distress, and Functional Outcomes in Adults With Type 2 Diabetes Mellitus and Comorbid Obstructive Sleep Apnea and Insomnia

PURPOSE

The purpose of this study was to examine age-related differences in mood, diabetes-related distress, and functional outcomes in activities sensitive to impaired sleep in adults with type 2 diabetes mellitus (T2DM) and comorbid obstructive sleep apnea (OSA) and insomnia. This study also evaluated the associations of age, insomnia severity, and OSA severity on outcome variables.

METHODS

This study was a secondary analysis of pooled baseline data from 2 randomized controlled trials among adults with T2DM with symptoms of sleep disorders (N = 145,109 younger adults, 36 older adults; 46.2% male; 67.6% white). Comorbid OSA and insomnia was defined as Apnea-Hypopnea Index ≥5 events per hour and Insomnia Severity Index ≥10. Outcome variables included mood, diabetes-related distress, and functional outcomes.

RESULTS

Older adults reported better mood, lower diabetes-related distress, and higher functional outcomes relative to younger adults (all Ps < .05). Insomnia severity was associated with worse mood (b = 2.59, P < .001) and diabetes-related distress (b = 1.40, P < .001) and lower functional outcome (b = -0.22, P < .001). Older age was associated with lower diabetes-related distress (b = -0.44, P = .040).

CONCLUSION

Older age was a protective factor of mood disturbance, diabetes-related distress, and functional impairment in adults with T2DM and comorbid OSA and insomnia. Insomnia severity was associated with greater mood disturbance, diabetes-related distress, and functional impairment when OSA and insomnia coexist. The results suggest that diabetes care and education specialists should assess patients for impaired sleep.