An assessment of diabetes-dependent quality of life (ADDQoL) in women and men in Poland with type 1 and type 2 diabetes

Bąk, Ewelina; Nowak-Kapusta, Zofia; Dobrzyń-Matusiak, Dorota; Marcisz-Dyla, Ewa; Marcisz, Czesław; Krzemińska, Sylwia

doi:10.26444/aaem/99959

Cited by 27 publications

(23 citation statements)

References 26 publications

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“…In our study, T2DM had the most severe impact on the "freedom to eat" domain, suggesting that patients are most bothered by dietary restrictions or the need to use special nutrition. This is corroborated by previous studies on the QoL of patients with T2DM, both in Poland 29 and in other countries: Slovenia, 4 Greece, 10 Turkey 12 and Argentina, 4 as well as in a cross-sectional study including patients from nine European countries. 23 In the present study, a strong negative impact of DM on patients' "freedom to drink" was also found.…”

Section: Discussionsupporting

confidence: 88%

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Comparison of Diabetes-Dependent Quality of Life (ADDQoL) in Patients with T2DM in Poland, The Czech Republic, and Slovakia

Krzemińska¹,

Bąk²,

Šáteková³

et al. 2020

DMSO

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The purpose of the paper was to perform a comparative analysis of the impact of T2DM on QoL, including specific ADDQoL domains and associations between QoL, selected socio-demographic factors (including gender, age, education, residence, marital status, professional activity) or clinical parameters (HbA1c levels, fasting blood glucose, BMI, duration of DM, complications, treatment used), in adult diabetic patients from Poland, the Czech Republic and Slovakia. The study group included 608 patients diagnosed with T2DM. There were 214 patients from Poland, 196 from the Czech Republic and 198 from Slovakia. Results: Overall, respondents from all three countries rated their QoL as good or very good. The mean scores for the item "If I did not have diabetes, my quality of life would be" were slightly higher for Poles than for Slovaks and Czechs. In the ADDQoL results, the weighted impact scores were negative for all domains. The lowest scores in all three countries were found for "freedom to eat" for all patients; the highest for "living conditions". For Polish patients, the linear regression model demonstrated the following significant AWI predictors: pre-university education and past smoking. For Czech patients, the linear regression model demonstrated that none of the characteristics analyzed were significant independent predictors of AWI. In the For Slovak patients, the linear regression model demonstrated the following significant AWI predictors: higher education and concurrent heart failure. Conclusion: In summary, our findings demonstrate that T2DM has a negative impact on all aspects of patients' QoL, which is the strongest in terms of the freedom to eat and dietary habits, regardless of the country. Education, past smoking, and concurrent heart failure were the only independent predictors of QoL in our study. This suggests a need for further research that would include more variables and a larger number of patients.

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Section: Discussionsupporting

confidence: 88%

“…28 The ADDQoL language versions used in the present study have a good internal consistency, confirmed by the authors, and constitute a reliable instrument for investigating the QoL of patients with T2DM. 20,29 Approx. 60% of the studied population of patients with T2DM declared at least a good level of QoL.…”

Section: Discussionmentioning

confidence: 99%

Comparison of Diabetes-Dependent Quality of Life (ADDQoL) in Patients with T2DM in Poland, The Czech Republic, and Slovakia

Krzemińska¹,

Bąk²,

Šáteková³

et al. 2020

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“…The authors willingly use disease-specific questionnaires, including ADDQoL [ 40 , 46 , 47 , 53 ], Diabetes Quality of Life—Brief Clinical Inventory (DQL-BCI) [ 41 – 43 ], Diabetes Symptom Checklist-Revised (DSC-R) [ 41 – 43 ], Diabetic Foot Ulcer Scale short form [ 49 ] and the PedsQL Diabetes Module 3.0 questionnaire [ 45 ]. Concerning generic questionnaires, for Polish patients with diabetes the following were used: SF-36 [ 36 , 39 , 48 , 49 , 52 , 61 ], World Health Organization Quality of Life-Bref (WHOQOL-Bref) [ 38 , 55 ], and the EQ-5D-3L, which is undoubtedly the most commonly used [ 36 , 41 – 44 , 50 , 51 , 54 ].…”

Section: Discussionmentioning

confidence: 99%

EQ-5D-5L-based quality of life normative data for patients with self-reported diabetes in Poland

Jankowska

Golicki

2021

PLoS ONE

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Introduction The new, five-level EQ-5D generic questionnaire (EQ-5D-5L) has never been used among diabetes patients in Poland. Objectives To develop health-related quality of life (HRQoL) norms for patients with self-reported diabetes, based on a large representative sample of the general Polish population, using the EQ-5D-5L. Materials and methods Members of the general public, selected via multistage stratified sampling, filled in the EQ-5D-5L questionnaire and answered a question about the presence of diabetes. We estimated three types of EQ-5D-5L outcomes: limitations within domains, EQ VAS and EQ-5D-5L index. Multiple linear regression was used to examine the relationship between sociodemographic characteristics and HRQoL, both in patients with diabetes and the general population sample. Results Among 2,973 respondents having complete EQ-5D-5L data, 255 subjects (8.6%) self-reported diabetes. Treatment with insulin, other drugs, combination therapy or lack of drug treatment was declared by 22.0%, 48.6%, 5.1% and 24.3% of patients, respectively. Respondents with diabetes had a lower EQ VAS score (18.5 points difference on a 100-points scale) and a lower EQ-5D-5L index score (0.135 difference; scale range: 1.59). The multivariate analysis showed that the factors independently improving the HRQoL in the general population were secondary or higher education, and factors reducing HRQoL were female sex, belonging to an older age group, being treated because of diabetes with insulin, other drugs or combination treatment. Respondents diagnosed with diabetes but not treated with drugs showed a decrease in EQ VAS scores, but not in the EQ-5D-5L index. Conclusions Diabetes leads to HRQoL deterioration in all age groups when compared to matched general population respondents without diabetes. The most significant HRQoL reduction experience older patients with a basic level of education. Obtained EQ-5D-5L normative data may be used in the clinical care of patients with diabetes and health technology assessment of new anti-diabetic drugs.

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“…6 When reviewing different studies conducted on HRQOL among type two diabetes mellitus patients, it has a negative impact on physical, social, environmental and psychological domains among adult age groups in the world. [9][10][11][12][13][14][15] In addition to this, similar studies conducted in different countries revealed that the burden of diabetic related chronic complications are responsible for high morbidity and mortality with significantly reduced HRQOL among type two diabetic patients in developed and low income countries. [16][17][18][19][20][21] Depression was also the major determinant factor in HRQOL with respect to physical and psychological domains in developed and low income countries.…”

Section: Introductionmentioning

confidence: 61%

Health-Related Quality of Life and Associated Factors Among Type Two Diabetic Patients on Follow-Up in Dessie Comprehensive Specialized Hospital, Dessie, North East Ethiopia, 2020

Girma

Wedajo

Ademe

et al. 2020

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Background: Diabetes mellitus is a disorder of carbohydrate metabolism and it is highly related with diminished HRQOL in Ethiopia; diabetic related complications especially bring major negative impacts on HRQOL. Objective: To assess HRQOL and associated factors among type two diabetic patients in Dessie Comprehensive Specialized Hospital, north east Ethiopia, 2020. Methods: Institutional-based cross-sectional study design was conducted on 417 patients through systematic random sampling technique from February 08 to April 08, 2020. WHO HRQOL 26 items were used to measure outcome variable. Face-to-face interview, document review and measurement were implemented to collect data. The data were analyzed by IBM SPSS Statistics version 25 and summarized by using tables. Simple linear regression analysis was done and forwarded to multivariable linear regression analysis at p-value <0.25. Next multivariable linear regression analysis was done and variables whose p-value less than 0.05 with unstandardized B-coefficient were declared significant predictor variables. Results: The mean scores of physical domain, psychological domain, environmental domain and social domain were 48±6.7 (47-49), 52±4.2 (50-52.3), 48.9±3.4 (48-50.4) and 49±4 (48-50), respectively. As age increased by one year, patients' physical HRQOL decreased by 0.031 factor, keeping effect of other variables constant [−0.031, 95% CI (−0.050 to-0.013)]. As duration of diabetes increased by one year, patients' physical HRQOL increased by 0.034 factor, keeping effect of other variables constant [0.034, 95% CI (0.004 to 0.065)]. In general, age, depression, perceived social stigma, self-employed, having two complications, widowed, insulin and oral anti-diabetic medication affected HRQOL negatively and duration of diabetes in physical domain and university level of education in environmental domain affected HRQOL positively. Conclusion and Recommendation: The mean score of health-related quality of life in physical health domain, psychological health domain, social health domain and environmental health domain was recorded nearly half score point out of a hundred. Health professionals should follow a holistic approach to management to address negatively associated predictor variables with HRQOL.

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An assessment of diabetes-dependent quality of life (ADDQoL) in women and men in Poland with type 1 and type 2 diabetes

Cited by 27 publications

References 26 publications

<p>Comparison of Diabetes-Dependent Quality of Life (ADDQoL) in Patients with T2DM in Poland, The Czech Republic, and Slovakia</p>

<p>Comparison of Diabetes-Dependent Quality of Life (ADDQoL) in Patients with T2DM in Poland, The Czech Republic, and Slovakia</p>

EQ-5D-5L-based quality of life normative data for patients with self-reported diabetes in Poland

<p>Health-Related Quality of Life and Associated Factors Among Type Two Diabetic Patients on Follow-Up in Dessie Comprehensive Specialized Hospital, Dessie, North East Ethiopia, 2020</p>

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