scholarly journals Reliability and validity of the Turkish version of the Diabetes Distress Scale for type 2 diabetes and distress levels of the participants

2020 ◽  
Vol 44 (2) ◽  
pp. 464-470
Author(s):  
Özge TELCİ ÇAKLILI ◽  
Güneş ALKAYA FEYİZOĞLU ◽  
Selcan TÜLÜ ◽  
Nazlı DİZMAN ◽  
İrem Sıdıka BOZKURT ◽  
...  
2016 ◽  
Vol 23 (5) ◽  
pp. 667-680 ◽  
Author(s):  
Eva K Fenwick ◽  
Gwyn Rees ◽  
Elizabeth Holmes-Truscott ◽  
Jessica L Browne ◽  
Frans Pouwer ◽  
...  

This study used Rasch analysis to examine the psychometric validity of the Diabetes Distress Scale and the Problem Areas in Diabetes scale to assess diabetes distress in 3338 adults with diabetes (1609 completed the Problem Areas in Diabetes scale ( n = 675 type 1 diabetes; n = 934 type 2 diabetes) and 1705 completed the Diabetes Distress Scale ( n = 693 type 1 diabetes; n = 1012 type 2 diabetes)). While criterion and convergent validity were good, Rasch analysis revealed suboptimal precision and targeting, and item misfit. Unresolvable multidimensionality within the Diabetes Distress Scale suggests a total score should be avoided, while suboptimal precision suggests that the Physician-related and Interpersonal distress subscales should be used cautiously.


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 63-LB
Author(s):  
HIROHIDE MATSUMOTO ◽  
KENTARO OKAZAKI ◽  
TOSHIKI OYA ◽  
NORIYUKI TAKAHASHI ◽  
MINA SUEMATSU

2021 ◽  
Vol 28 (4) ◽  
pp. E202144
Author(s):  
Nurten Terkes ◽  
Hicran Bektas

The objective of the research was to evaluate the validity and reliability of the Diabetes Distress Scale in patients with type 2 diabetes in Turkey. Materials and Methods. Our study was conducted between September 2016 and January 2017 and included 170 patients with type 2 diabetes. The Personal Information Form and Diabetes Distress Scale were used as a data collection tool. Statistical analysis was performed using SPSS 23.0 and SAS package program. Results. According to the results of the research, Cronbach’s alpha reliability for the total scale was 0.91. The model fit indices for the revised confirmatory factor analysis model failed to meet the criteria for acceptability: the GFI was 0.8185, the CFI was 0.9316, the Bentler - Bonett (1980) NFI was 0.9005, and the RMSEA was 0.1067. In our study, exploratory factor analysis provided support for the three-factor model: [I] emotional and regimen-related distress, [II] health professional-related distress, [III] diabetes-related interpersonal distress. Conclusions. When the translation and cultural adaptation process have been considered, the Diabetes Distress Scale is a valid and reliable tool for the Turkish community. It is recommended to be used in the studies and clinical trials.


2021 ◽  
Vol 9 (1) ◽  
pp. 62-72
Author(s):  
Allison DaSantos ◽  
◽  
Carlisle Goddard ◽  
Dalip Ragoobirsingh ◽  
◽  
...  

<abstract><sec> <title>Purpose</title> <p>Diabetes management requires adherence to complicated self-care behaviors. Therefore, the emotional state of the individual living with diabetes, is likely to affect their ability to comply with recommendations. This study explored the relationship of self-care adherence to diabetes distress and depression in Barbadian adults with type 2 diabetes.</p> </sec><sec> <title>Methods</title> <p>Adults aged 20 to 80 years, with type 2 diabetes, completed self-report questionnaires comprised of a profile section consisting of demographic and clinical characteristics; and standardized questionnaires comprising, The Diabetes Distress Scale (DDS), The Patient Health Questionnaire (PQH-9), and the Summary of Diabetes Self-care Activities Scale (SDSCA). Additionally biological measures (BP and HbA1c) were collected.</p> </sec><sec> <title>Results</title> <p>For the 509 participants there were no differences in adherence for males (30.8%) and females (69.2%), high diabetes distress and depression were associated with low adherence. General diet was negatively associated with BP and HbA1c; while HbA1c was positively correlated with blood glucose testing.</p> </sec><sec> <title>Conclusion</title> <p>Self-care non-adherence is more than a behavioral problem; it is a multidimensional phenomenon inclusive of demographic factors, condition or disease factors, psychological and social factors.</p> </sec></abstract>


Author(s):  
Amy E Morrison ◽  
Francesco Zaccardi ◽  
Sudesna Chatterjee ◽  
Emer Brady ◽  
Yvonne Doherty ◽  
...  

Abstract Aims Self-compassion is a modifiable characteristic, linked with psychological well being and intrinsic motivation to engage in positive health behaviours. We aimed to explore levels of self-compassion in individuals with type 2 diabetes (T2DM) and their association with levels of depression, diabetes-related distress and glycaemic control. Methods A cross-sectional study in 176 patients with T2DM in Leicester, UK, using three self-report questionnaires: the Self Compassion Scale (SCS); Patient Health Questionnaire (PHQ-9), and Diabetes Distress Scale (DDS-17). Demographic data, medical history and blood samples were collected. Results Majority of participants were male (n=120, 68.2%), with median [IQR] age and HbA1c of 66 [60, 71] years and 7.3 [6.7, 8.0] %, respectively. Multivariable analysis adjusting for age, gender, ethnicity and diabetes duration revealed significant association of all three scores with HbA1c: per one standard deviation increase of each score, a -0.16% reduction in HbA1c for SCS (p=0.027), 0.21% increase for PHQ-9 (p=0.012) and 0.33% increase for DDS-17 (p<0.001). Conclusions Higher levels of self-compassion and lower levels of depressive symptoms were associated with significantly better long-term diabetes control. These results reinforce the importance of emphasis on psychological parameters, including self-compassion, in the multi-disciplinary management of T2DM. We identify this as a potential area for intervention in UK practice.


2016 ◽  
Vol 14 (3) ◽  
pp. 346-351 ◽  
Author(s):  
Flávia Cristina Zanchetta ◽  
Danilo Donizetti Trevisan ◽  
Priscila Peruzzo Apolinario ◽  
Juliana Bastoni da Silva ◽  
Maria Helena de Melo Lima

ABSTRACT Objective: To evaluate the relation between diabetes-related distress and the clinical and sociodemographic characteristics of type 2 diabetes mellitus patients. Methods: A cross-sectional study based on a secondary analysis of data collected at a specialized care outpatient center in Brazil. Participants completed a questionnaire on sociodemographic and clinical characteristics and the Brazilian version of the Diabetes Distress Scale (B-DDS). Results: About 31% of the 130 eligible patients reported diabetes distress, and the mean B-DDS score was 2.6. Multiple regression analysis showed the B-DDS score was positively correlated with marital status (p=0.0230), use of diet and physical activities for diabetes management (p=0.0180), and use of insulin therapy (p=0.0030). The “emotional burden”, “regimen-related distress”, and “interpersonal distress” domains from B-DDS were associated with the use of insulin therapy (p=0.0010), marital status (p=0.0110), and the presence of three or more comorbidities (p=0.0175). Conclusion: These findings suggest the clinical and sociodemographic variables are relatively weak predictors of diabetes-related distress. The highest scores in the B-DDS were observed in the emotional burden domain, indicating the presence of diabetes distress among the participants of the study.


2021 ◽  
pp. 263501062110144
Author(s):  
Lisa Summers-Gibson

Purpose The purpose of this study was to examine the relationships between and among diabetes self-care, diabetes time management, and diabetes distress in women with type 2 diabetes mellitus (T2DM). Methods A descriptive correlational design with a total of 188 participants completed 3 valid and reliable instruments to measure the main study variables, the Diabetes Self-Management Questionnaire, the Diabetes Time Management Questionnaire, and the Diabetes Distress Scale, in an uncontrolled, natural setting using mix-mode surveys (electronic and paper). Survey responses were analyzed using several descriptive, bivariate, and multivariate analyses. Results Diabetes time management was the strongest, statistically significant, unique contributor to explaining self-care. The regression model showed that diabetes time management demonstrated a large effect size and that diabetes distress demonstrated a small effect size. Conclusions The 2 predictor variables among diabetes self-care in women showed diabetes time management had a stronger effect size compared to diabetes distress. This is the first known study to measure the influence of diabetes time management on diabetes self-care and to examine the relationship between and among diabetes time management and diabetes distress. Diabetes time management, an understudied variable in individuals with T2DM, has the potential to be a contributor to improve patient outcomes.


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