Diabetes-related shame among people with type 2 diabetes: an internet-based cross-sectional study

Eight-year nationwide study of the bidirectional association between type 2 diabetes and depression in nearly 8 million German outpatients

INTRODUCTION

Research linking type 2 diabetes and depression mostly relied on hospital-based diagnoses or prescription data, overlooking many outpatient diagnoses. We aimed to quantify the risks of depression in individuals newly diagnosed with type 2 diabetes, and type 2 diabetes in those newly diagnosed with depression, while exploring potential risk differences depending on age, sex, and follow-up time.

RESEARCH DESIGN AND METHODS

We conducted a matched cohort study using German nationwide outpatient claims data from 2012 to 2022. Participants were individuals newly diagnosed with type 2 diabetes (N=294 642) or depression (N=1 271 537) in 2015, matched in a 1:4 ratio to controls without these conditions by age, sex, and region. The bidirectional risk was evaluated over an 8-year period using mixed-effects Cox proportional hazards models, adjusting for the Charlson Comorbidity Index, urbanicity, and area-level deprivation.

RESULTS

New type 2 diabetes diagnosis was associated with higher depression risk over 8 years (N=54 561 with depression, HR=1.23, 99% CI=1.21 to 1.24). Similarly, depression diagnosis was linked to an increased type 2 diabetes risk (N=71 848 with type 2 diabetes, HR=1.15, 99% CI=1.14 to 1.17). The association between depression and type 2 diabetes was stronger in younger age groups, especially under 34 years. Findings held across sex-stratified analyses. Time stratification showed a more pronounced association between type 2 diabetes and depression risk during the earlier follow-up quarters, whereas the risk of developing type 2 diabetes after depression diagnosis remained constant throughout the follow-up period.

CONCLUSIONS

Our findings confirm a bidirectional link between type 2 diabetes and depression, particularly in younger individuals. As type 2 diabetes and depression are frequent, future research needs to study whether preventive approaches can reduce the risk of developing this comorbidity.

A conceptual model of the continuous glucose monitoring integration process for older adults with diabetes developed using participatory systems science methods

AIMS

Continuous glucose monitoring (CGM) use remains low in older adults. We aimed to develop a conceptual model of CGM integration among older adults with type 1 and type 2 diabetes.

METHODS

We previously engaged older adults with type 1 diabetes using participatory system science methods to develop a model of the system of factors that shape CGM integration. To validate and expand the model, we conducted semi-structured interviews with 17 older adults with type 1 and type 2 diabetes and 3 caregivers. Vignettes representing each integration phase were used to elicit outcomes and strategies to support CGM use. Data were analyzed using team-based causal loop diagraming.

RESULTS

The model includes six phases spanning (1) CGM uptake; (2) device set-up; acquisition of (3) belief in oneself to use CGM effectively; (4) belief that CGM is preferable to blood glucose monitoring; (5) belief in future CGM benefits CGM; and (6) development of a sense of reliance on CGM. Causal loop diagrams visualize factors and feedback loops shaping outcomes at each phase. Participants proposed support strategies spanning clinical, educational, and behavioral interventions.

CONCLUSIONS

The model underscores the complex transition of learning new technology and provides opportunities for tailored support for older adults.

Bringing an end to diabetes stigma and discrimination: an international consensus statement on evidence and recommendations

People with diabetes often encounter stigma (ie, negative social judgments, stereotypes, prejudice), which can adversely affect emotional, mental, and physical health; self-care, access to optimal health care; and social and professional opportunities. To accelerate an end to diabetes stigma and discrimination, an international multidisciplinary expert panel (n=51 members, from 18 countries) conducted rapid reviews and participated in a three-round Delphi survey process. We achieved consensus on 25 statements of evidence and 24 statements of recommendations. The consensus is that diabetes stigma is driven primarily by blame, perceptions of burden or sickness, invisibility, and fear or disgust. On average, four in five adults with diabetes experience diabetes stigma and one in five experience discrimination (ie, unfair and prejudicial treatment) due to diabetes, such as in health care, education, and employment. Diabetes stigma and discrimination are harmful, unacceptable, unethical, and counterproductive. Collective leadership is needed to proactively challenge, and bring an end to, diabetes stigma and discrimination. Consequently, we achieved unanimous consensus on a pledge to end diabetes stigma and discrimination.

Diabetes Care in Humanitarian Settings

Despite the increasing prevalence of diabetes in populations experiencing humanitarian crisis, along with evidence that people living with diabetes are at higher risk for poor outcomes in a crisis, diabetes care is not routinely included in humanitarian health interventions. We here describe 4 factors that have contributed to the inequities and lack of diabetes inclusion in humanitarian programmes: (1) evolving paradigms in humanitarian health care, (2) complexities of diabetes service provision in humanitarian settings, (3) social and cultural challenges, and (4) lack of financing. We also outline opportunities and possible interventions to address these challenges and improve diabetes care among crisis-affected populations.

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 relationship between stigma and psychological distress among people with diabetes: a meta-analysis

BACKGROUND & AIMS

Diabetes may perceive or experience varying degrees of stigma and psychological distress. The association between diabetes-related stigma and psychological distress has been examined in many studies, but no research has used a quantitative synthesis method to investigate the severity of this association and the moderators of the relationship. Thus, we conducted a meta-analysis to quantitatively integrate previous findings to identify the magnitude of the association between stigma and psychological distress among people with diabetes.

REVIEW METHODS

Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, we systematically searched four English academic databases (PubMed, Embase, Web of Science, and PsycINFO) and three Chinese databases (China National Knowledge Infrastructure [CNKI], WANFANG Data, China Science and Technology Journal Database [VIP]). The databases were searched from the inception of each database to the end of March 2023. The pooled correlation coefficient of the association between stigma and psychological distress among people with diabetes was calculated by a random effects model using Stata software (version 17.0), and several moderators that impacted this relationship were identified.

RESULTS

Eligible studies (N = 19) with a total of 12,777 participants were analysed. The pooled correlation was high between diabetes-related stigma and psychological distress (r = 0.50, 95% CI: [0.43-0.57]). Moreover, the association was moderated by the diabetes stigma measurement tools and diabetes distress measurement tools used. However, the relationship was not moderated by type of diabetes, age, gender, geographical location, or type of stigma.

CONCLUSIONS

The results of the meta-analysis showed that stigma is strongly related to psychological distress among people with diabetes. Longitudinal or experimental research should be expanded in the future to further identify the causal pathways in the relationship between diabetes stigma and diabetes distress.

Measuring public attitudes towards people living with chronic diseases in Arabic-speaking populations: adaptation and development of the Social Stigma Scale of Chronic Diseases (SSS-CD)

BACKGROUND

A large proportion of the population in Arab countries suffer from chronic diseases. According to the statistics by the Global Health Estimates, chronic illnesses contribute by 71% to total deaths in the Arab region. While chronic illnesses have been demonstrated to carry high levels of social stigma, it is only recently that little research attention has been given to this topic in the Arab world. It is well-established that the social stigma construct is culturally-dependent. Therefore, the lack of an Arabic measure highlighted the urgent need for developing a culturally adapted and valid instrument to assess social stigma toward people living with chronic diseases. In this study, we aimed to examine the psychometric properties of the Arabic translation, adaptation and development of "the Social Stigma Scale of Chronic Diseases" (SSS-CD).

METHOD

Fifteen items derived from the literature and assessing social stigma towards chronic diseases have been administered to 570 Arabic-speaking adults from the Lebanese general population (aged 24.59 ± 6.75years; 68.6% women). Items were translated into Arabic using a forward-backward translation method. Exploratory factor analysis (EFA) using a principal-axis EFA on the first split-half subsample, followed by a confirmatory factor analysis (CFA) tested on the model extracted from the EFA on the second split-half subsample, were conducted to examine the construct validity of the SSS-CD. Fit indices were deemed adequate if the normed model chi-square (χ²/df) ≤ 3, the Steiger-Lind root mean square error of approximation (RMSEA) ≤ 0.08, the Tucker-Lewis Index (TLI) and the comparative fit index (CFI) ≥ 0.90.

RESULTS

Findings revealed that the 10-item SSS-CD has a unidimensional factor structure, with the following fit indices: χ²/df = 92.95/34 = 2.73, RMSEA = 0.077 (90% CI 0.059, 0.096), SRMR = 0.062, CFI = 0.939, TLI = 0.919. A good internal consistency was demonstrated by a McDonald's omega value of 0.73 for the total score. Findings also supported invariance across gender, with men exhibiting higher levels of social stigma attached to chronic diseases than women. All three dimensions of stigmatization (social, psychological and evolutionary stigmatization) were positively correlated with SSS-CD scores (Social self-interest [r = .40; p < .001], Evolutionary self-interest [r = .37; p < .001], Psychological self-interest [r = .42; p < .001]), demonstrating relatively strong convergent validity.

CONCLUSION

Our findings suggest that the SSS-CD has robust psychometric qualities. We thus preliminarily suggest that the scale is valid, reliable and suitable for use among Arabic-speaking people from the general population to measure public attitudes towards people living with chronic diseases. Providing this psychometrically sound measure will hopefully enable to foster research in this area in order to draw a clear overview of the prevalence and characteristics of social stigma attached to chronic diseases in Arabic-speaking communities. However, given that this was the first study to examine the psychometric properties of the SSS-CD, the present findings and conclusions should be considered tentative pending future cross-national validation studies.

Type 2 diabetes stigma and its association with clinical, psychological, and behavioral outcomes: a systematic review and meta-analysis

AIM

To synthesize quantitative research evidence on the association between type 2 diabetes (T2D) stigma and psychological, behavioral, and clinical outcomes.

METHODS

We searched APA PyschInfo, Cochrane Central, Scopus, Web of Science, Medline, CINAHL and EMBASE through November 2022. Peer-reviewed observational studies examining the association between T2D stigma and psychological, behavioral, and/or clinical outcomes were eligible for inclusion. Risk of bias was assessed with the JBI critical appraisal checklist. Correlation coefficients were pooled in random effect meta-analyses.

RESULTS

Our search produced 9642 citations, 29 met the inclusion criteria. Included articles were published between 2014 and 2022. We found a weak positive correlation between T2D stigma and HbA1C (r=0.16, 95% CI:0.08 to 025, I²=70%, N=7 studies), a moderate positive correlation between T2D stigma and depressive symptoms (r=0.49, 95% CI: 0.44 to 0.54, I²=26.9%, n=5 studies) and diabetes distress (r=0.54, 95% CI: 0.35 to 0.72, I²=96.9%, n=7studies). Persons with T2D stigma who experienced stigma tended to have less engagement in diabetes self-management, though this association was weak (r=-0.17, 95% CI: -0.25 to -0.08, I²=79.8%, n=7studies).

CONCLUSIONS

T2D stigma was associated with negative health outcomes. Further studies are required to disentangle the underlying causal mechanisms to inform the development of appropriate stigma-reduction interventions.

Social exclusion in people with diabetes: cross-sectional and longitudinal results from the German Ageing Survey (DEAS)

As social exclusion can be linked to worse health and overall reduced quality of life, we describe social exclusion in people with diabetes and assess whether diabetes can be considered as a risk factor for social exclusion. We analyzed two waves (2014, 2017, N = 6604) from a survey of community-dwelling people aged > 40 using linear regression, group comparison and generalized estimating equations to explore the association between diabetes, social exclusion, socioeconomic, physical and psychosocial variables. In the entire cohort, diabetes was cross-sectionally associated with social exclusion after adjusting for covariates (p = 0.001). In people with diabetes, social exclusion was further associated with self-esteem (p < 0.001), loneliness (p =  < 0.001), income (p = 0.017), depression (p = 0.001), physical diseases (p = 0.04), and network size (p = 0.043). Longitudinal data revealed that higher levels of social exclusion were already present before the diagnosis of diabetes, and future social exclusion was predicted by self-esteem, loneliness, depression, and income, but not by diabetes (p = .221). We conclude that diabetes is not a driver of social exclusion. Instead, both seem to co-occur as a consequence of health-related and psychosocial variables.