Evaluation of the application of the Diabetes Quality of Life Questionnaire in patients with diabetes mellitus

Pereira, Edilene Vieira; Tonin, Fernanda S.; Carneiro, Jaqueline; Pontarolo, Roberto; Wiens, Astrid

doi:10.20945/2359-3997000000196

Cited by 13 publications

(15 citation statements)

References 28 publications

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“…The questionnaire has been translated into different languages and used in several countries including the United States of America (15), Malaysia (16), China (17), Turkey (18) and Spain (19). The DQoL questionnaire has been used in 82 studies (20); however, it has yet to be used in published studies in Arabic countries. The aims of the present study were, therefore, to validate an Arabic version of the questionnaire, evaluate QoL of patients with type 2 diabetes, and examine the factors that may influence it among the Jordanian population.…”

Section: Introductionmentioning

confidence: 99%

Developing and validating the Arabic version of the Diabetes Quality of Life questionnaire

Al‐Qerem¹,

Al-Maayah²,

Ling³

2021

East Mediterr Health J.

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Background: The Diabetes Quality of Life (DQoL) questionnaire has been used frequently among people with diabetes. Aims: To develop and validate a revised Arabic version of the DQoL questionnaire for patients in Jordan with type 2 diabetes. Methods: We recruited patients with type 2 diabetes from 3 public health clinics in Jordan. The original DQoL questionnaire was translated to Arabic and then back-translated by a different translator, and the 2 versions were compared. Prior to circulating the final version of the questionnaire, a cognitive validity test was applied to ensure that all the questions were clear. The final Arabic version of the DQoL questionnaire, along with a questionnaire that included demographic and other health-related questions, were circulated to the participants. The questionnaire data were analysed using exploratory factor analysis and confirmatory factor analysis after excluding duplicated questions and questions that included > 10% missing data. Cronbach's a was also conducted to confirm internal consistency. Results: Analysis validated an Arabic version of DQoL questionnaire that included 29 items divided into 3 factors: worries, impact and satisfaction. Different variables were associated with DQoL scores including insulin administration, low income status, marital status, and presence of diabetic complications. 1 / 12 WHO EMRO | Developing and validating the Arabic version of the Diabetes Quality of Life questionnaire Conclusions: We validated an Arabic tool that can be used to evaluate QoL among Arabic-speaking patients with type 2 diabetes.

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Section: Introductionmentioning

confidence: 99%

Developing and validating the Arabic version of the Diabetes Quality of Life questionnaire

Al‐Qerem¹,

Al-Maayah²,

Ling³

2021

East Mediterr Health J.

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“…Despite the rapid growth in the prevalence of T2DM and the existence of different instruments to measure quality of life in diabetic patients, none of them have been linguistically or psychometrically validated in Ecuador. Although there is a wide description of different questionnaires to assess quality of life in diabetic patients [ 18 ], such as the Diabetes Care Profile, which aims at assessment of factors important in a patient's adjustment to diabetes and its treatment in daily life and which consists of 234 items, the Appraisal of Diabetes Scale, which aims at Assessment of diabetes-related distress and which consists of 7 items, the Diabetes Distress Scale, which aims to Measure of diabetes-related emotional distress for use in research and clinical practice and which consists of 17 items, among others [ 19 ]. We chose the Diabetes Health Profile (DHP) because of its advantages over other diabetes-specific patient reported outcome measures.…”

Section: Introductionmentioning

confidence: 99%

Adaptation and psychometric validation of Diabetes Health Profile (DHP-18) in patients with type 2 diabetes in Quito, Ecuador: a cross-sectional study

Benazizi

Bernal-Soriano

Pardo

et al. 2021

Health Qual Life Outcomes

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Introduction The Diabetes Health Profile (DHP‐18), structured in three dimensions (psychological distress (PD), barriers to activity (BA) and disinhibited eating (DE)), assesses the psychological and behavioural burden of living with type 2 diabetes. The objectives were to adapt the DHP‐18 linguistically and culturally for use with patients with type 2 DM in Ecuador, and to evaluate its psychometric properties. Methods Participants were recruited using purposive sampling through patient clubs at primary health centres in Quito, Ecuador. The DHP-18 validation consisted in the linguistic validation made by two Ecuadorian doctors and eight patient interviews. And in the psychometric validation, where participants provided clinical and sociodemographic data and responded to the SF-12v2 health survey and the linguistically and culturally adapted version of the DHP-18. The original measurement model was evaluated with confirmatory factor analysis (CFA). Reliability was assessed through internal consistency using Cronbach’s alpha and test–retest reproducibility by administering DHP-18 in a random subgroup of the participants two weeks after (n = 75) using intraclass correlation coefficient (ICC). Convergent validity was assessed by establishing previous hypotheses of the expected correlations with the SF12v2 using Spearman’s coefficient. Results Firstly, the DHP-18 was linguistically and culturally adapted. Secondly, in the psychometric validation, we included 146 participants, 58.2% female, the mean age was 56.8 and 31% had diabetes complications. The CFA indicated a good fit to the original three factor model (χ2 (132) = 162.738, p < 0.001; CFI = 0.990; TLI = 0.989; SRMR = 0.086 and RMSEA = 0.040. The BA dimension showed the lowest standardized factorial loads (λ) (ranging from 0.21 to 0.77), while λ ranged from 0.57 to 0.89 and from 0.46 to 0.73, for the PD and DE dimensions respectively. Cronbach’s alphas were 0.81, 0.63 and 0.74 and ICCs 0.70, 0.57 and 0.62 for PD, BA and DE, respectively. Regarding convergent validity, we observed weaker correlations than expected between DHP-18 dimensions and SF-12v2 dimensions (r > −0.40 in two of three hypotheses). Conclusions The original three factor model showed good fit to the data. Although reliability parameters were adequate for PD and DE dimensions, the BA presented lower internal consistency and future analysis should verify the applicability and cultural equivalence of some of the items of this dimension to Ecuador.

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“…Endpoint HbA 1c ranges for interventional and observational studies were reduced from 5.9% to 9.5% and from 7.1% to 9.6%, respectively. Despite a reduction in HbA 1c , only 41% of participants reported an improvement in QoL, suggesting that people living with T1DM generally perceive this as unsatisfactory [47].…”

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

“…QoL is commonly assessed in T2DM populations [46,47] but rarely in adults living with T1DM [48]. Pereira et al [47] conducted a systematic review to determine the relationship between QoL and HbA 1c in those living with T1DM. The review consisted of 110 studies (78 observational and 32 interventional) from countries in North America and Europe, and included 69 T1DM studies, 35 T2DM studies, and 6 T1DM and T2DM studies.…”

Section: Introductionmentioning

confidence: 99%

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Association Between a Low Carbohydrate Diet, Quality of Life, and Glycemic Control in Australian Adults Living With Type 1 Diabetes: Protocol for a Mixed Methods Pilot Study

Paul¹,

Jani²,

Davoren³

et al. 2021

JMIR Res Protoc

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Background Globally, the prevalence of type 1 diabetes mellitus (T1DM) is rising. In 2020, a total of 124,652 Australians had T1DM. Maintaining optimal glycemic control (hemoglobin A1c ≤7.0%, ≤53 mmol/mol) on a standard carbohydrate diet can be a challenge for people living with T1DM. The Diabetes Complications and Control Trial established that macrovascular and microvascular complications could be reduced by improving glycemic control. Recent studies have found that a very low or low carbohydrate diet can improve glycemic control. However, the overall evidence relating to an association between a very low or low carbohydrate diet and glycemic control in people living with T1DM is both limited and mixed. In addition, research has suggested that a reduced quality of life due to anxiety and depression adversely influences glycemic control. Despite a potential link between a very low or low carbohydrate diet and optimal glycemic control, to our knowledge, no research has examined an association between a low carbohydrate diet, quality of life, and glycemic control, making this study unique in its approach. Objective The study aims to develop a validated diabetes-specific quality of life questionnaire for use in Australian adults with T1DM and to determine if an association exists between a low carbohydrate diet, quality of life, and glycemic control in Australian adults living with T1DM. Methods This cross-sectional study will be conducted in a tertiary hospital outpatient setting and will consist of 3 phases: phase 1, online Australian diabetes-specific quality of life questionnaire development and piloting (25-30 adults with T1DM); phase 2, questionnaire validation (364 adults with T1DM); and phase 3, a 12-week dietary intervention to determine if an association exists between a low carbohydrate diet, quality of life, and glycemic control in adults with T1DM (16-23 adults with T1DM). The validation of the study-developed Australian diabetes-specific quality of life questionnaire, and changes in hemoglobin A1c and quality of life in adults with T1DM while undertaking a low carbohydrate diet over 12 weeks will be the primary outcomes of this study. Results Phase 1 of the study is currently open for recruitment and has recruited 12 participants to date. It is anticipated that the first results will be submitted for publication in November 2021. Presently, no results are available. Conclusions This study is the first of its kind in that it will be the first to generate a new validated instrument, which could be used in evidence-based practice and research to understand the quality of life of Australian adults with T1DM. Second, the low carbohydrate dietary intervention outcomes could be used to inform clinicians about an alternative approach to assist T1DM adults in improving their quality of life and glycemic control. Finally, this study could warrant the development of an evidence-based low carbohydrate dietary guideline for adults living with T1DM with the potential to have a profound impact on this population. Trial Registration ClinicalTrials.gov NCT04213300; https://clinicaltrials.gov/ct2/show/NCT04213300 International Registered Report Identifier (IRRID) PRR1-10.2196/25085

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Evaluation of the application of the Diabetes Quality of Life Questionnaire in patients with diabetes mellitus

Cited by 13 publications

References 28 publications

Developing and validating the Arabic version of the Diabetes Quality of Life questionnaire

Developing and validating the Arabic version of the Diabetes Quality of Life questionnaire

Adaptation and psychometric validation of Diabetes Health Profile (DHP-18) in patients with type 2 diabetes in Quito, Ecuador: a cross-sectional study

Association Between a Low Carbohydrate Diet, Quality of Life, and Glycemic Control in Australian Adults Living With Type 1 Diabetes: Protocol for a Mixed Methods Pilot Study

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