Skip to main content

Concept analysis of diabetes-related quality of life

Abstract

Background

Quality of life (QoL) is a common indicator of outcomes in people living with diabetes, but the concept of diabetes-related QoL (DRQoL) remains unclear. Clarifying core knowledge of DRQoL was the goal of this paper.

Methods

A concept analysis was conducted according to Walker and Avant’s framework. A systematic search of the published literature was conducted between 2002 and 2022 based on resource availability, current relevancy, and the quality of recent studies. Three major databases were used to identify the attributes, antecedents, consequences, and measures for DRQoL. Only articles investigating DRQoL among adult or elderly people living with diabetes that were published in English in peer-reviewed journals were analyzed.

Results

In total, 4342 articles were screened, and only 401 articles underwent eligibility assessment. A total of 183 articles were included in the analysis. Most (59.78%) of them were observational studies and DRQoL as a primary outcome. We identified four critical components of DRQoL: (a) general health, (b) diabetes-related satisfaction, (c) diabetes impact, and (d) diabetes self-management. The antecedents were classified according to their contributions to DRQoL as follows: 25 positive-induced, 4 neutral-based, and 19 negative-induced antecedents. The consequences of DRQoL were mortality risk, personal health, satisfaction with health care, hospitalization risk, and failure to return to work. The referents varied widely, and 32 tools were found for DRQoL measurement. Furthermore, 12 scales for disease-specific DRQoL and 17 tools for general QoL were identified.

Conclusion

This paper provides a definition of DRQoL as well as its attributes, antecedents, consequences, and measures in adults with diabetes. The attributes of DRQoL included general health, diabetes-related satisfaction, diabetes impact, and diabetes self-management. A comprehensive understanding of DRQoL can improve the quality of care and can aid in the recognition of the needs of care among people living with diabetes.

Background

Quality of life (QoL) is a broad concept and is a measure of outcomes in people with chronic medical conditions, including those living with diabetes. Although only 21% of diabetes-related clinical trials have thus far reported on the QoL of the included patients [1], recent clinical trials have paid increasing attention to this topic. Researchers have argued that the measurement of QoL in people living with diabetes is as essential as the measurement of their biological outcomes (i.e., glycated hemoglobin and glucose variability) [2, 3]. Accumulating evidence suggests that QoL is an essential core outcome among people living with type 1 and type 2 diabetes [2, 4].

QoL is considered a patient-reported or patient-important outcome in people living with diabetes [1]. Questionnaires measuring general QoL are commonly used in studies of the diabetes population [5, 6]. Because people with diabetes have unique care needs and outcomes, a general QoL questionnaire may not be sensitive and specific enough to detect QoL changes in this population. The concept of QoL has been discussed in the general population [7, 8], older people [9], and people living with diseases such as chronic illness [10], cancer [11], renal disease [12], and chronic obstructive pulmonary disease [13]. For general population, the QoL is characterized by key elements such as subjective and objective evaluations of life and overall life satisfaction [7, 8]. In contrast, the QoL for older adults is primary conceptualized in terms of subjective wellfare and self-actualization, and life satisfaction [9]. Conversely, the QoL for young adults living with chronic diseases encompases subjective, dynamic, multidimentional aspects of life, pursuit of ambitions, and diseases related constraints [10]. These definitions and attributes of QoL are both distinctive and typical. However, given the specific needs of diabetes care outcome [1, 2, 4], the broad QoL concept to the general population, older adults, and people living with other conditions may not be suitable for people living with diabetes. To the best of our knowledge, no study has clearly defined QoL in the diabetes population thus far. There is a need to redefine QoL for people living with diabetes. Therefore, identifying the definition and critical components of diabetes-related QoL (DRQoL) is of research interest and clinical relevance.

This study aimed to expand the core knowledge of DRQoL and differentiate it from general QoL through a concept analysis of available evidence. In particular, we aimed to identify the specific attributes, antecedents, consequences, and measures of DRQoL. Our results may facilitate a comprehensive understanding of DRQoL and may aid in the development of efficient approaches to improve QoL in adult people living with diabetes.

Methods

We used Walker and Avant’s framework to guide this concept analysis of DRQoL. Walker and Avant’s framework is selected because it provides clear steps and philosophical understanding for analyzing the concept under study, and it has been widely used to clarify concepts [14].

Literature search

A systematic search was conducted using the PubMed, Science Direct, and Medline (via EBSCOhost) databases. The following Medical Subject Heading (MeSH) terms with Boolean operators and controlled vocabulary were used to search for relevant studies: quality of life, health-related quality of life, diabetes mellitus, patients, adult, aged (Table 1). Manual searching of additional resources was then conducted. The inclusion criteria were: (1) articles that focused on and discussed QoL in the titles, abstracts, or main texts; (2) articles addressing adults or older adults living with diabetes; (3) articles published between 2002 and 2022; (4) articles available in full text in English; and (5) articles that were either original or review articles. We limited our search to the past 20 years and to English-only articles due to resource availability, work efficiency, and contemporary relevancy. Moreover, we considered the quality of recent studies and focused on current trends in DRQoL articles. Exclusion criteria were: (1) unpublished works, (2) editorial letters, (3) commentaries, and (4) conference papers.

Table 1 Example systematic search strategy in the pubmed database

Steps of concept analysis using walker and Avant’s framework

The analysis was performed following Walker and Avant’s framework [15], which comprised the following steps: (1) concept selection, (2) determination of the analysis aims, (3) identification of possible uses of the concept, (4) determination of the defining attributes, (5) identification of model cases, (6) construction of additional cases, (7) identification of antecedents and consequences, and (8) definition of empirical referents.

Data extraction and analysis

Our analysis focused on the uses of the concept of DRQoL and the attributes, antecedents, consequences, and measures for DRQoL. To identify the attributes, antecedents, consequences, and measures for DRQoL, two authors independently extracted the data from each article by using a Microsoft Excel spreadsheet. Authors extracted the data as follow: titles, authors, year of publication, country, region, research design, samples, types of diabetes, whether QoL as primary or secondary outcome, critical points for the concept analysis, and contribution for attributes, antecedents, consequences, and measures (Supplementary Table 1). Any disagreements were resolved by a discussion between the two authors. The outcomes were presented in a table extraction.

Results

In the present study, we selected DRQoL among adults living with diabetes as the main concept. Our literature search resulted in 4,351 articles from the three databases. After excluding 17 duplicate articles using EndNote X9 software and through screening based on the eligibility (inclusion and exclusion) criteria, we included 183 articles in our final analysis (Fig. 1).

Fig. 1
figure 1

PRISMA flowchart

Characteristics of included studies

Most of the articles were from American countries (n = 62, 33.88%), followed by European, Asian, Middle Eastern, Oceania, and African countries (28.41%, 24.04%, 5.46%, 3.82%, and 2.73%, respectively).

Approximately half of the articles (n = 109; 59.56%) were observational studies, and the remaining were experimental studies, secondary analyses, reviews and meta-analyses, and qualitative research (27.87%, 6.01%, 4.37%, and 2.18%, respectively)—with the majority of the articles (79.66%) listing QoL as the main primary outcome. Supplementary Tables 1 and 2 present the extracted data as well as a summary of DRQoL antecedents, attributes, consequences, and referents from the literature.

Possible use of DRQoL concept

In the MeSH terminology from the PubMed database, QoL at the medical and health area is defined as “a generic concept reflecting concern with modification and enhancement of life attributes” [16]. In addition, the World Health Organization (WHO) QoL group defines QoL for general population as ‘‘individuals’ perceptions of their position in life in the context of the culture and value systems in which they live and in relation to their goals, expectations, standards, and concerns’’ [17]. In the field of social sciences and psychology, QoL refers to multifaceted aspects, including cultural, behavioral, and social factors that influence how individuals perceive their goodness and well-being [18, 19]. In economics and human development, QoL focuses on the gap between expections and reality of life. It encompasses factors such as income, consumption patterns, and job satiffaction [19, 20]. These definitions adequately describe the concept of QoL in general, but they do not specifically explain DRQoL. Based on the current and available evidences, DRQoL can be defined as “patients’ perception and/or personal appraisal in regard to the life, satisfaction, and major interest in the context of diabetes care while living with diabetes.” Personal appraisal and reflection on living with diabetes align with the definition of QoL in general population [16, 17]. However, this judgment is largely influenced by diabetes care and management, a major factor affecting the health of people living with diabetes [5, 21,22,23,24,25,26]. Diabetes care and management includes, but is not limited to, activities such as glucose monitoring, dietary management, physical activity, diabetes education, stress management, medication administration, insulin therapy, and behavioral modification.

Defining the attributes of DRQoL

Next, we identified the attributes of DRQoL as critical components or characteristics of DRQoL; these attributes differentiate it from other concepts [15]. The attributes were drawn from the domains, subdomains, scales, or subscales of the available DRQoL tools. A total of 21 domains, subdomains, and subscales were initially extracted and then classified into four major attributes: general health, diabetes-related satisfaction, diabetes impact, and diabetes self-management (Table 2; Fig. 2). The classification used similar approach of content analysis and consultation to diabetes experts, which then revealed the four categories.

Table 2 DRQoL attributes
Fig. 2
figure 2

Model of concept analysis for diabetes-related quality of life

People living with diabetes might appraise their general health status based on their QoL. Here, general health refers to individuals’ judgment of their health conditions [7]. Current health condition is subjective impression about their overall health living with diabetes that affects their QoL. Patients may require to response question “How do you describe your overall health regarding the current quality of life?” Then, they can adjust their overall health status based on their individual perception. Previous studies had identified general health status as one of key components of DRQoL [21, 22]. Tietjen et al. [21] described that more than 50% of Palestanian people living with diabetes reported good and very good QoL.

Because diabetes is a chronic disease, all patients require diabetes care and consequently report their perceived satisfaction with that care. Here, satisfaction includes life satisfaction while living with diabetes [23, 24]; family satisfaction, psychological, and spiritual satisfaction [25, 26]; treatment goal satisfaction [27, 28]; and health-care experience [29]. While living with diabetes, patients may feel satisfied or dissatisfied with matters related to diabetes; their satisfaction level ultimately contributes to their perceived DRQoL.

Diabetes can affect a patient’s daily activities because they need to cope with the disorder and living with it. Furthermore, diabetes could affect the patients’ overall experience of life [21, 26] and may result in specific concerns related to diabetes. These specific concerns include emotional suffering [29, 30], social functioning [26, 31], memory and cognition [31], financial aspects [30, 31], and perceived empowerment [30]. Moreover, problems related to diabetes may be physiological [26, 32], psychological [28, 33], social [28, 29], and treatment-related aspects [26, 34].

Self-management of diabetes refers to all the actions taken by a patient to effectively control diabetes; it may include adherence to a treatment regime [26, 35], following an appropriate diet and eating habits [26, 31], concern about hypoglycemia [36, 37], diabetes control [29, 38], and self-care behavior [26, 27]. Most of the aforementioned actions necessitate behavioral changes, and they consequently affect the well-being of people living with diabetes.

Constructing DRQoL cases

Model DRQoL case

We first constructed a model case to describe real-life experiences reflecting attributes that define the characteristics of the concept of DRQoL. In this model case, all attributes were the critical components of the concept [15].

Mr. A, a middle-aged adult, is living with type 2 diabetes. He lives happily with his wife and two children and has many good friends. His health is currently optimal, and he is feeling well and has a positive attitude to diabetes treatment. Over the last 2 weeks, Mr. A has been experiencing hypoglycemia, but his HbA1c is under control (< 7%). He independently checks blood glucose three times and records the data in his notebook every day.

In this model case, Mr. A is living well (general health attribute) and is well-received by his family and friends (satisfaction-related diabetes attribute). Although he has been experiencing hypoglycemic events over the last few weeks, his diabetes is well-controlled (diabetes impact attribute). He also performs self-checking of blood glucose regularly (diabetes self-management attribute).

Additional DRQoL case: borderline

We then constructed a borderline case. In the borderline case, there are several attributes reveal in the case [15].

Mrs. K is an older woman living with type 2 diabetes for almost 35 years. She lives alone and does not have any health-related complaints. She refuses to visit the clinic because she is unsatisfied with her diabetes treatment. She has told her nurses that she is irritated because her physician has not allowed her to adjust the insulin dose.

Here, Mrs. K indicates no complaint (general health attribute), but she would like to adjust the insulin dose according to her blood sugar level (diabetes self-management attribute). She refuses to visit the clinic because she is dissatisfied with the diabetes care she has been receiving (diabetes-related nonsatisfaction attribute).

Additional DRQoL case: related

Subsequently, we created a related case. A related case seems similar meaning of the concept but it is absolutely not the concept and different with the core attributes of the concept [15].

Mrs. M has been diagnosed as having gestational diabetes in the second trimester. She is physically active and is doing well with her pregnancy. Because this is her first pregnancy, her husband treats her well, often giving her gifts and surprises. They live together in a small city, and her mother routinely visits Mrs. M.

This is a related DRQoL case because it is similar, but not identical, to the model DRQoL case. Although Mrs. M feels happy, loved, and fully supported and her general health attribute is favorable, she does not show diabetes-related satisfaction, impact, and self-management.

Additional DRQoL case: contrary

We also constructed a contrary case, where none of the critical DRQoL attributes occur [15].

Mr. S, a young adult with type 1 diabetes, lives with his family. He often feels sick and thirsty. Every day after waking up and before sleeping, his mother pricks him for blood glucose monitoring, which make him feel unsatisfied with the care he receives. At school, he feels unaccepted by his peers and is often bullied for his diabetes.

This is a contrary DRQoL case because the young adult exhibits a poor DRQoL—in contrast to the model case. Mr. S feels unwell and expresses dependent diabetes self-management, dissatisfaction, and poor diabetes impact.

Additional DRQoL case: invented

Finally, we constructed an invented case, where we considered an uncommon situation [15].

Mr. H has been diagnosed as having type 2 diabetes only 3 days ago. He was fine with knowing that he had diabetes. Although he has been prescribed oral antidiabetic medications, he wishes to get an insulin prescription. He told the nurse in charge about how to perform abdominal insulin administration at the first visit. He has not shown any sadness or worry, believing that diabetes is a benign disease and is easy to cure.

This case was invented for the following reasons: As the first oral treatment is standard care for diabetes, no people living with diabetes would request to receive insulin. In addition, at the first visit, most people living with diabetes would not know how to administer insulin. Even if they previously learnt injection administration procedure (which is uncommon), they would not have mastered it.

Identification of DRQoL antecedents

Antecedents are the factors or situations that occur before a concept [15]. In the current study, they were taken from DRQoL predictors, determinants, or risk factors. During the analysis, the identified antecedents varied widely. Thus, we classified the antecedents based on their effect on DRQoL and proposed three antecedents: positive-induced, neutral-based, and negative-induced (Fig. 2 and Supplementary Table 2).

The positive-induced antecedents refer to all factors that can improve or exhibit a positive association with DRQoL. Of 25 positive-induced antecedents, diabetes management, weight loss, diabetes education, education level, and better financial status were the top five factors, and they frequently were mentioned in the included articles (Fig. 2). Diabetes management includes all activities involved in diabetes self-care, such as dietary intake, regular physical activity, stress management, and blood sugar self-monitoring [23, 38]. Weight loss is essential for people living with diabetes, particularly those who have obesity or are overweight, to maintain good DRQoL [39, 40]. Diabetes education refers to activities that empower, enhance, or increase a patient’s understanding of diabetes and its care [41, 42]. The higher the education level and financial status of a people living diabetes, the higher is their DRQoL [5, 43]. All these top five factors are positively associated with DRQoL, thereby contributing to the higher DRQoL outcomes. Figure 2 lists all positive-induced antecedents found in this study.

Neutral-based antecedents are related to the debatable factors contributing to DRQoL, conferring a positive or negative effect on DRQoL. In this study, these antecedents included age, marital status, other medications, and insulin therapy—all of which have been indicated to exert equivocal effects in the included studies. Carlson et al. [44] and Lu et al. [45] reported a positive association between age and DRQoL, indicating that higher age is associated with higher DRQoL scores. However, several other studies [46, 47] found a negative correlation between age and DRQoL, with younger age associated with better DQRoL score. Lu et al. [45] indicated that married people living with diabetes have worse DRQoL than do those who are not; however, other studies have described contrasting findings [5, 48]. Taking supplements or multiple medications for diabetes comorbidity may positively [27, 49] or negatively [50] affect DRQoL. Insulin therapy is also related to DRQoL either positively [51, 52] or negatively [53, 54].

Negative-induced antecedents refer to all factors that can decrease DRQoL or which exhibit a negative association with DRQoL. Of 19 negative-induced antecedents, diabetes complications, depression, unachieved glycemic control, female sex, and diabetes duration were the top five factors. Diabetes complications including foot ulcer, neuropathy, retinopathy, and hypoglycemia negatively affect DRQoL [55, 56]. Depression is a major concern for people living with diabetes; it was found to be an independent predictor of reduced QoL [57, 58]. Unachieved glycemic control (HbA1c > 7%) was related to decreased DRQoL [28, 59]. Being female was consistently reported to reduce DRQoL in several articles [5, 21]. Diabetes duration may also be negatively associated with DRQoL: the longer the diabetes duration, the lower is the DRQoL [5, 60]. All these top five factors are negatively asscociated with DRQoL, thus contributing to lower DRQoL outcomes.

Identification of DRQoL consequences

Consequences are factors or events that occur after a concept; they are either positive or negative outcomes [15]. The consequences of DRQoL were defined as all the factors or events predicted by DRQoL. Mortality risk, personal health, satisfaction with health care, hospitalization, and failure to return to work were identified as DRQoL consequences from the literature (Fig. 2 and Supplementary Table 2).

Studies have reported that higher DRQoL is an inverse independent predictor of mortality risk (hazard ratio [HR] = 0.979, 95% confidence interval [CI] = 0.966–0.992) in people living with type 2 diabetes [61, 62]. Mortality risk was estimated to increase by 5–9% with every 1-point decrease in the DRQoL score [63] and by 10–11% with every 10-point decrease in the DRQoL score [64]. Li et al. [65] identified that people living with diabetes with low QoL who are physically inactive (i.e., do not perform any physical activity in their leisure time) have higher mortality risk (HR = 4.49, 95% CI = 2.15–9.36) than those with high QoL who are physically active. The scores for personal health and satisfaction with health care in the previous year improved by 2.1 and 1.3, respectively, for a 10-point increase in the DRQoL score [66, 67]. Secondary analysis in American people living with diabetes demonstrated 2–4% and 7–12% increases in hospitalization risk and failure to return to work, respectively, as a result of every 1-point decrease in the DRQoL score [63]. Additionally, young adults living with diabetes reported that a 10-unit increase in DRQoL was associated with increases of 1.3 and 2.1 units in satisfaction with healthcare services and their personal health, respectively [6].

Definition of empirical referents of DRQoL

Next, we identified 32 measurement tools that specifically quantify DRQoL (Fig. 2 and Supplementary Table 2). The most common DRQoL tools were Audit of Diabetes Dependent Quality of Life (ADDQoL, including 19 items) [21, 68], Diabetes Quality of Life (DQOL, including 46 items) [26, 69], Diabetes Health Profile (DHP, including 18 items) [26, 70], Diabetes Quality of Life Brief Clinical Inventory (DQOL BCI, including 15 items) [27, 71], Diabetes Therapy-Related Quality of Life (DTRQOL, including 29 items) [26, 33], Asian Diabetes Quality of Life (AsianDQOL, including 21 items) [26, 31], and Diabetes Quality of Life Clinical Trial Questionnaire (DQOLCTQ, including 142 items) [26, 36].

We also identified 12 tools for disease-specific DRQoL (Supplementary Table 2), most of which are designed specifically for diabetes-related complications or comorbidities. These included Impact of Weight on Quality of Life-Lite scale (IWQOL) for obesity and overweight (including 31 items) [72], Neuropathy Specific Quality of Life (NeuroQoL) for neuropathy (including 27 items) [57, 61], and Diabetic Foot Ulcer Scale–Short Form (DFS-SF) for foot ulcer (including 29 items) [73]. Moreover, 17 generic tools commonly used to assess QoL in people living with diabetes were identified (Supplementary Table 2). These included Medical Outcomes Survey Short Form (SF) 36 [33, 74], SF12 [6, 29], European Quality of Life 5 Dimesion (EQ-5D) [5, 67], and World Health Organization Quality of Life Brief (WHOQOL Bref) [43].

Discussion

In this study, we determined the broad range of the DRQoL concept and identified 4 attributes, 48 antecedents (25 positive-induces, 4 neutral-based, and 19 negative-induced antecedents), 5 consequences, and 32 referents of DRQoL.

Moreover, general health, diabetes-related satisfaction, diabetes impact, and diabetes self-management were identified as the critical components of DRQoL. Clustering of the identified attributes was performed based on their shared concept to describe DRQoL. For instance, problems in the area of psychology [28, 33] were clustered as diabetes impact. A study identified critical characteristics of QoL to be (a) subjective appraisal of life; (b) subjective satisfaction related to social, psychological, and physical aspects; and (c) objective measures in life [7, 8]. These critical attributes may be reliable with DRQoL attributes such as general health and diabetes-related satisfaction. Because DRQoL is disease-specific QoL, satisfaction includes life satisfaction but also family satisfaction, treatment goal satisfaction, psychological and spiritual satisfaction [25, 26], and previous health-care experiences [29], all of which are related to living with diabetes. Diabetes impact and diabetes self-management are unique factors that differentiate DRQoL from general QoL. Diabetes impact is related to life impact [21, 26], positive impact (e.g., perceived empowerment) [30], and negative impact (e.g., physiological problem) [26, 32]. Self-management of diabetes includes the daily behaviors of people living with the disease, such as diet and eating habits [26, 31], concern about hypoglycemia [36, 37], and self-care behavior [26, 71].

The antecedents of DRQoL vary and affect an individual’s QoL. To the best of our knowledge, the current concept analysis provides a comprehensive understanding of the contributing factors related to DRQoL. Because the outcomes of the antecedents are broad, the antecedents can be grouped based on their contribution to DRQoL. Most studies reported consistent positive-induced antecedents of DRQoL—including diabetes management [75, 76], diabetes education [41, 42], and oral health and care [77]—and negative-induced antecedents of DRQoL—including diabetes distress [22, 28], poor sleep quality [57, 78], and unachieved glycemic control [28, 47]. Notably, factors such as age, marital status, insulin therapy, and other medication were considered neutral-induced antecedents because they produced conflicting contribution to DRQoL outcomes, manifesting as either positive or negative effects across the included studies. Additional meta-analyses are warranted to further investigate this inconsistency and determine the contribution of these neutral-induced antecedents to DRQoL. By considering the wide range of DRQoL antecedents, health-care providers may be able to improve DRQoL among people living with diabetes.

Only few studies (3.8% of all included articles) provided information on the consequences of DRQoL, mainly because QoL is considered a distal outcome in research on chronic diseases, including diabetes. In the current analysis, we found the positive and negative consequences of DRQoL. Specifically, the positive consequences are personal health and satisfaction to health care; increasing the DRQoL score can improve individual health status and increase health-care satisfaction [66, 67]. By contrast, hospitalization risk, failure to return to work [63], and mortality risk [63, 64] are the negative consequences of DRQoL. If the DRQoL score decreases, negative consequences increase, and vice versa. Notably, DRQoL affects a patient’s hospitalization risk and mortality risk. Dixit et al. [61] and Kleefstra et al. [62] have reported that DRQoL is an independent factor determining mortality risk in people living with diabetes. Thus, health-care providers should consider DRQoL as a main outcome in people living with diabetes.

Our analysis identified a large number of reference tools for assessing DRQoL in people living with diabetes: 32 for DRQoL, 12 for disease-specific DRQoL, and 17 for generic tools for assessing QoL. Almost all of these assessment tools are valid, reliable, and ready for use in both clinical or research settings. The Diabetes Care Profile (DCP) was documented as the tool with the highest number of questions (234 items) [26, 70], followed by the DQOLCTQ with 142 questions [26, 36]. Both the DCP and DQOLCTQ may provide a comprehensive assessment of DRQoL due to the multidimentional aspects covered in their domains or subscales. However, the large number of questions presents drawbacks, such as increased time consumption and a high rejection rate from participants. We noted that the ADDQoL (19 items) was the most commonly used tool for evaluating DRQoL in people living with diabetes [21, 68]. Next, the DQOL (including the DQOL BCI, ranging from 15 to 46 items) was the second most commonly used instrument for DRQoL [26, 27, 69, 71]. Therefore, the ADDQoL and DQOL appear to be wise options for evaluating DRQoL, as supported by our findings on the most commonly used assessment tools. The AsianDQOL is notable for its ethnic specificity and is applicable to Asian people living with diabetes [26, 31]. Finally, Type 1 Diabetes and Life [29] and the ViDa Questionnaire [26] are good examples of DRQoL assessement tools for people living with type 1 diabetes.

An appropriate understanding of the DRQoL concept can aid in improved recognition of the actual care needs of people living with diabetes, and the current definition of DRQoL may inform nurses and other health-care providers of diabetes care and management in people living with the disorder. Both positive- and negative-induced antecedents and the consequences should be considered while providing care to people living with diabetes. Moreover, several available referents can aid in adequately determining or evaluating patient’s DRQoL.

Although this study provided a clear definition of DRQoL, it has several strentghs and limitations. The strengths of the analysis included the large numbers of article reviewed, which confirmed the comprehensive conceptual structure of DRQoL among people living with diabetes. Additionally, the analysis identified 48 complex antecendents affecting DRQoL. For the limitations, our concept analysis was conducted only for English full-text articles. Moreover, the results of this study can be generalized to only people living with type 1 or type 2 diabetes because none of the included articles examined people living with gestational diabetes.

Conclusions

The current results aided in differentiating the concept of DRQoL from other broad definitions of general QoL. DRQoL is defined as perception and/or appraisal in regard to the life, satisfaction, and major interest in the context of diabetes care while living with diabetes. We found that DRQoL in adult people living with diabetes includes four attributes; general health, diabetes-related satisfaction, diabetes impact, and diabetes self-management. Approximately 25 positive-induced (i.e. social support), 4 neutral-based (i.e. age), and 19 negative-induced antecedents (i.e. fatigue) were also identified. Finally, DRQoL was found to be related to personal health, satisfaction with health care, hospitalization risk, failure to return to work, and mortality risk. The current available measures of DRQoL in research and clinical settings vary and make the evaluation is possible.

Data availability

No datasets were generated or analysed during the current study.

Abbreviations

ADDQoL:

Audit of diabetes dependent quality of life

AsianDQOL:

Asian diabetes quality of life

DCP:

Diabetes care profile

DFS-SF:

Diabetic foot ulcer scale–short form

DHP:

Diabetes health profile

DQOL:

Diabetes quality of life

DQOL BCI:

Diabetes quality of life brief clinical inventory

DQOLCTQ:

Diabetes quality of life clinical trial questionnaire

DRQoL:

Diabetes related quality of life

DTRQOL:

Diabetes therapy-related quality of life

EQ5D:

European quality of life 5 dimension

HR:

Hazard ratio

IWQOL:

Impact of weight on quality of life-lite scale

MeSH:

Medical subject heading

NeuroQoL:

Neuropathy specific quality of life

QoL:

Quality of life

SF:

Medical outcomes survey short form

WHO:

World health organization

WHOQOL Bref:

World health organization quality of life brief

References

  1. Gandhi GY, Murad MH, Fujiyoshi A, Mullan RJ, Flynn DN, Elamin MB, Swiglo BA, Isley WL, Guyatt GH, Montori VM. Patient-important outcomes in registered diabetes trials. JAMA. 2008;299(21):2543–9. https://doiorg.publicaciones.saludcastillayleon.es/10.1001/jama.299.21.2543

    Article  CAS  PubMed  Google Scholar 

  2. Byrne M, O’Connell A, Egan AM, Dinneen SF, Hynes L, O’Hara MC, Holt RI, Willaing I, Vallis M, Hendrieckx C, Coyne I. A core outcomes set for clinical trials of interventions for young adults with type 1 diabetes: an international, multi-perspective Delphi consensus study. Trials. 2017;18(1):1–8. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s13063-017-2361-y

    Article  Google Scholar 

  3. Jones A, Vallis M, Pouwer F. If it does not significantly change HbA1c levels why should we waste time on it? A plea for the prioritization of psychological well-being in people with diabetes. Diabet Med. 2015;32(2):155–63. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/dme.12620

    Article  CAS  PubMed  Google Scholar 

  4. Harman NL, Wilding JP, Curry D, Harris J, Logue J, Pemberton RJ, Perreault L, Thompson G, Tunis S, Williamson PR. Selecting core outcomes for randomised effectiveness trials in type 2 diabetes (SCORE-IT): a patient and healthcare professional consensus on a core outcome set for type 2 diabetes. BMJ Open Diabetes Res Care. 2019;7(1):e000700. https://doiorg.publicaciones.saludcastillayleon.es/10.1136/bmjdrc-2019-000700

    Article  PubMed  PubMed Central  Google Scholar 

  5. Barua L, Faruque M, Chowdhury HA, Banik PC, Ali L. Health-related quality of life and its predictors among the type 2 diabetes population of Bangladesh: A nation‐wide cross‐sectional study. J Diabetes Investig. 2021;12(2):277–85. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/jdi.13331

    Article  CAS  PubMed  Google Scholar 

  6. Borgmann SO, Chernyak N, Haastert B, Linnenkamp U, Andrich S, Schlenker R, Razum O, Icks A. Thoughts about health and patient-reported outcomes among people with diabetes mellitus: results from the DiaDec-study. BMC Public Health. 2021;21(1):1–11. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12889-021-10231-y

    Article  Google Scholar 

  7. Mandzuk LL, McMillan DE. A concept analysis of quality of life. J Orthop Nurs. 2005;9(1):12–. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.joon.2004.11.001.  8.

    Article  Google Scholar 

  8. Meeberg GA. Quality of life: a concept analysis. J Adv Nurs. 1993;18(1):32–8. https://doiorg.publicaciones.saludcastillayleon.es/10.1046/j.1365-2648.1993.18010032.x

    Article  CAS  PubMed  Google Scholar 

  9. Boggatz T. Quality of life in old age–a concept analysis. Int J Older People Nurs. 2016;11(1):55–69. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/opn.12089

    Article  PubMed  Google Scholar 

  10. Taylor RM, Gibson F, Franck LS. A concept analysis of health-related quality of life in young people with chronic illness. J Clin Nurs. 2008;17(14):1823–33. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/j.1365-2702.2008.02379.x

    Article  PubMed  Google Scholar 

  11. Cooley ME. Quality of life in persons with non-small cell lung cancer: a concept analysis. Cancer Nurs. 1998;21(3):151–61.

    CAS  PubMed  Google Scholar 

  12. Joshi VD. Quality of life in end stage renal disease patients. World J Nephrol. 2014;3(4):308. https://doiorg.publicaciones.saludcastillayleon.es/10.5527/wjn.v3.i4.308

    Article  PubMed  PubMed Central  Google Scholar 

  13. Dignani L, Toccaceli A, Guarinoni MG, Petrucci C, Lancia L. Quality of life in chronic obstructive pulmonary disease: an evolutionary concept analysis. Nurs Forum. 2015;50(3):201–13. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/nuf.12110

    Article  PubMed  Google Scholar 

  14. Nuopponen A. Methods of concept analysis-towards systematic concept analysis. LSPJ. 2010;1(2):5–14.

    Google Scholar 

  15. Walker LO, Avant KC. Strategies for theory construction in nursing. 6th ed. Upper Saddle River, NJ: Pearson/Prentice Hall; 2019.

    Google Scholar 

  16. National Center for Biotechnology Information. Quality of life. Accessed 12. January 2022. https://www.ncbi.nlm.nih.gov/mesh/?term=quality+of+life; 1977.

  17. World Health Organization. The world health organization quality of life assessment (WHO/QOL): position paper from the world health organization. Soc Sci Med. 1995;41(10):1403–9.

    Google Scholar 

  18. Fernández-Ballesteros R. Quality of life: concept and assessment. In: Adair JG, Belanger D, Dion KL, editors. Advances in psychological science: social, personal, and cultural aspects. Kota; 1998. p. 1.

  19. Barcaccia B, Esposito G, Matarese M, Bertolaso M, Elvira M, De Marinis MG. Defining quality of life: a wild-goose Chase?? Eur J Psychol. 2013;9(1):185–203. https://doiorg.publicaciones.saludcastillayleon.es/10.5964/ejop.v9i1.484

    Article  Google Scholar 

  20. Ruta D, Camfield L, Donaldson C. Sen and the Art of quality of life maintenance: towards a general theory of quality of life and its causation. J Socio Econ. 2007;36(3):397–423. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.socec.2006.12.004

    Article  Google Scholar 

  21. Tietjen AK, Ghandour R, Mikki N, Jerdén L, Eriksson JW, Norberg M, Husseini A. Quality of life of type 2 diabetes mellitus patients in Ramallah and al-Bireh Governorate–Palestine: a part of the Palestinian diabetes complications and control study (PDCCS). Qual Life Res. 2021;30(5):1407–16. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s11136-020-02733-w

    Article  PubMed  PubMed Central  Google Scholar 

  22. Vigen CL, Carandang K, Blanchard J, Sequeira PA, Wood JR, Spruijt-Metz D, Whittemore R, Peters AL, Pyatak EA. Psychosocial and behavioral correlates of A1C and quality of life among young adults with diabetes. Diabetes Educ. 2018;44(6):489–500. https://doiorg.publicaciones.saludcastillayleon.es/10.1177/0145721718804170

    Article  PubMed  PubMed Central  Google Scholar 

  23. Hanna KM, Weaver MT, Slaven JE, Fortenberry JD, DiMeglio LA. Diabetes-Related quality of life and the demands and burdens of diabetes care among emerging adults with type 1 diabetes in the year after high school graduation. Res Nurs Health. 2014;37(5):399–408. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/nur.21620

    Article  PubMed  PubMed Central  Google Scholar 

  24. Carper MM, Traeger L, Gonzalez JS, Wexler DJ, Psaros C, Safren SA. The differential associations of depression and diabetes distress with quality of life domains in type 2 diabetes. J Behav Med. 2014;37(3):501–10. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s10865-013-9505-x

    Article  PubMed  Google Scholar 

  25. Walker TC, Yucha CB. Continuous glucose monitors: use of waveform versus glycemic values in the improvements of glucose control, quality of life, and fear of hypoglycemia. J Diabetes Sci Technol. 2014;8(3):488–93. https://doiorg.publicaciones.saludcastillayleon.es/10.1177/1932296814528434

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Palamenghi L, Carlucci MM, Graffigna G. Measuring the quality of life in diabetic patients: a scoping review. J Diabetes Res. 2020;2020. https://doiorg.publicaciones.saludcastillayleon.es/10.1155/2020/5419298

  27. Didangelos T, Karlafti E, Kotzakioulafi E, Margariti E, Giannoulaki P, Batanis G, Tesfaye S, Kantartzis K. Vitamin B12 supplementation in diabetic neuropathy: a 1-year, randomized, double-blind, placebo-controlled trial. Nutrients. 2021;13(2):395. https://doiorg.publicaciones.saludcastillayleon.es/10.3390/nu13020395

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Wang RH, Lin CC, Chen SY, Hsu HC, Huang CL. The impact of self-stigma, role strain, and diabetes distress on quality of life and glycemic control in women with diabetes: a 6-month prospective study. Biol Res Nurs. 2021;23(4):619–28. https://doiorg.publicaciones.saludcastillayleon.es/10.1177/10998004211009606

    Article  CAS  PubMed  Google Scholar 

  29. Hilliard ME, Marrero DG, Minard CG, Cao VT, de Wit M, DuBose SN, Verdejo A, Jaser SS, Kruger D, Monzavi R, Shah VN. Design and psychometrics for new measures of health-related quality of life in adults with type 1 diabetes: type 1 diabetes and life (T1DAL). Diabetes Res Clin Pract. 2021;174:108537. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.diabres.2020.108537

    Article  PubMed  Google Scholar 

  30. Koh O, Lee J, Tan ML, Tai ES, Foo CJ, Chong KJ, Goh SY, Bee YM, Thumboo J, Cheung YB, Singh A. Establishing the thematic framework for a diabetes-specific health-related quality of life item bank for use in an english-speaking Asian population. PLoS ONE. 2014;9(12):e115654. https://doiorg.publicaciones.saludcastillayleon.es/10.1371/journal.pone.0115654

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Goh SG, Rusli BN, Khalid BA. Diabetes quality of life perception in a multiethnic population. Qual Life Res. 2015;24(7):1677–86. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s11136-014-0885-3

    Article  CAS  PubMed  Google Scholar 

  32. Zhang P, Lou P, Chang G, Chen P, Zhang L, Li T, Qiao C. Combined effects of sleep quality and depression on quality of life in patients with type 2 diabetes. BMC Fam Prac. 2016;17(1):1–7. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12875-016-0435-x

    Article  CAS  Google Scholar 

  33. Oita M, Miyoshi H, Ono K, Nakamura A, Cho KY, Nomoto H, Yamamoto K, Omori K, Manda N, Kurihara Y, Aoki S. Satisfaction and efficacy of switching from daily dipeptidyl peptidase-4 inhibitors to weekly trelagliptin in patients with type 2 diabetes—Randomized controlled study—. Endocr J. 2018;65(2):141–50. https://doiorg.publicaciones.saludcastillayleon.es/10.1507/endocrj.EJ17-0303

    Article  PubMed  Google Scholar 

  34. Zhang P, Hire D, Espeland MA, Knowler WC, Thomas S, Tsai AG, Glick HA, Look AHEAD, Research Group. Impact of intensive lifestyle intervention on preference-based quality of life in type 2 diabetes: results from the look AHEAD trial. Obesity. 2016;24(4):856–64. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/oby.21445

    Article  PubMed  Google Scholar 

  35. Lee EH, Lee YW, Moon SH. A structural equation model linking health literacy to self-efficacy, self-care activities, and health-related quality of life in patients with type 2 diabetes. Asian Nurs Res. 2016;10(1):82–7. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.anr.2016.01.005

    Article  Google Scholar 

  36. Patel S, Abreu M, Tumyan A, Adams-Huet B, Li X, Lingvay I. Effect of medication adherence on clinical outcomes in type 2 diabetes: analysis of the SIMPLE study. BMJ Open Diabetes Res Care. 2019;7(1):e000761. https://doiorg.publicaciones.saludcastillayleon.es/10.1136/bmjdrc-2019-000761

    Article  PubMed  PubMed Central  Google Scholar 

  37. Goto H, Mita T, Fujitani Y, Fujimoto S, Takahashi K, Satoh H, Hirose T, Hiyoshi T, Ai M, Okada Y, Nishimura H. Effects of linagliptin versus Voglibose on treatment-related quality of life in patients with type 2 diabetes: sub-analysis of the L-STEP study. Endocr J. 2018;65(6):657–68. https://doiorg.publicaciones.saludcastillayleon.es/10.1507/endocrj.EJ18-0088

    Article  CAS  PubMed  Google Scholar 

  38. Brinkworth GD, Luscombe-Marsh ND, Thompson CH, Noakes M, Buckley JD, Wittert G, Wilson CJ. Long‐term effects of very low‐carbohydrate and high‐carbohydrate weight‐loss diets on psychological health in obese adults with type 2 diabetes: randomized controlled trial. J Intern Med. 2016;280(4):388–97. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/joim.12501

    Article  CAS  PubMed  Google Scholar 

  39. Williamson DA, Rejeski J, Lang W, Van Dorsten B, Fabricatore AN, Toledo K, Look AHEAD, Research Group. Impact of a weight management program on health-related quality of life in overweight adults with type 2 diabetes. Arch Intern Med. 2009;169(2):163–71.

    PubMed  PubMed Central  Google Scholar 

  40. Lean ME, Leslie WS, Barnes AC, Brosnahan N, Thom G, McCombie L, Peters C, Zhyzhneuskaya S, Al-Mrabeh A, Hollingsworth KG, Rodrigues AM. Primary care-led weight management for remission of type 2 diabetes (DiRECT): an open-label, cluster-randomised trial. Lancet. 2018;391(10120):541–51. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/S0140-6736(17)33102-1

    Article  PubMed  Google Scholar 

  41. Cunningham AT, Crittendon DR, White N, Mills GD, Diaz V, LaNoue MD. The effect of diabetes self-management education on HbA1c and quality of life in African-Americans: a systematic review and meta-analysis. BMC Health Serv Res. 2018;18(1):1–3. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12913-018-3186-7

    Article  Google Scholar 

  42. Mahmoud SS, Mahdy MH, Mahfouz MS, Nada IS, Aqeeli AA, Darbi MA, Ahmed AE. Effects of a psychoeducational program on hemoglobin A1c level and health-related quality of life in patients with type 2 diabetes mellitus, Jazan, Saudi Arabia. BioMed Res Int. 2018;2018. https://doiorg.publicaciones.saludcastillayleon.es/10.1155/2018/6915467

  43. Raymakers AJ, Gillespie P, O’Hara MC, Griffin MD, Dinneen SF. Factors influencing health-related quality of life in patients with type 1 diabetes. Health Qual Life Outcomes. 2018;16(1):1–5. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12955-018-0848-4

    Article  Google Scholar 

  44. Carlson AE, Aronson BD, Unzen M, Lewis M, Benjamin GJ, Walls ML. Apathy and type 2 diabetes among American Indians: exploring the protective effects of traditional cultural involvement. J Health Care Poor Underserved. 2017;28(2):770. https://doiorg.publicaciones.saludcastillayleon.es/10.1353/hpu.2017.0073

    Article  PubMed  PubMed Central  Google Scholar 

  45. Lu Y, Wang N, Chen Y, Nie X, Li Q, Han B, Chen Y, Xia F, Cang Z, Lu M, Meng Y. Health-related quality of life in type-2 diabetes patients: a cross-sectional study in East China. BMC Endocr Disord. 2017;17(1):1–7. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12902-017-0187-1

    Article  Google Scholar 

  46. Kuang D, Gu DF, Cao H, Yuan QF, Dong ZX, Yu D, Shen XM. Impacts of psychological resilience on self-efficacy and quality of life in patients with diabetic foot ulcers: a prospective cross-sectional study. Ann Palliat Med. 2021;10(5):5610–8. https://doiorg.publicaciones.saludcastillayleon.es/10.21037/apm-21-967

    Article  PubMed  Google Scholar 

  47. Stojanović M, Cvetanović G, Anđelković Apostolović M, Stojanović D, Rančić N. Impact of socio-demographic characteristics and long-term complications on quality of life in patients with diabetes mellitus. Cen Eur J Public Health. 2018;26(2):104–10. https://doiorg.publicaciones.saludcastillayleon.es/10.21101/cejph.a5022

    Article  Google Scholar 

  48. Khatib ST, Hemadneh MK, Hasan SA, Khazneh E, Zyoud SE. Quality of life in Hemodialysis diabetic patients: a multicenter cross-sectional study from Palestine. BMC Nephrol. 2018;19(1):1–9. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12882-018-0849-x

    Article  Google Scholar 

  49. Agathos E, Tentolouris A, Eleftheriadou I, Katsaouni P, Nemtzas I, Petrou A, Papanikolaou C, Tentolouris N. Effect of α-lipoic acid on symptoms and quality of life in patients with painful diabetic neuropathy. J Int Med Res. 2018;46(5):1779–90. https://doiorg.publicaciones.saludcastillayleon.es/10.1177/0300060518756540

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Black JA, Long GH, Sharp SJ, Kuznetsov L, Boothby CE, Griffin SJ, Simmons RK. Change in cardio-protective medication and health-related quality of life after diagnosis of screen-detected diabetes: results from the ADDITION-Cambridge cohort. Diabetes Res Clin Pract. 2015;109(1):170–7. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.diabres.2015.04.013

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Uzoigwe C, Radin M, Hamersky CM, DeKoven M, Holt C, Karkare S, Polonsky WH. Quality of life in patients with type 2 diabetes after switching to insulin Degludec: results from a cross-sectional survey. Qual Life Res. 2021;30(6):1629–40. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s11136-020-02753-6

    Article  PubMed  PubMed Central  Google Scholar 

  52. Calles-Escandón J, Koch KL, Hasler WL, Van Natta ML, Pasricha PJ, Tonascia J, Parkman HP, Hamilton F, Herman WH, Basina M, Buckingham B. Glucose sensor-augmented continuous subcutaneous insulin infusion in patients with diabetic gastroparesis: an open-label pilot prospective study. PLoS ONE. 2018;13(4):e0194759. https://doiorg.publicaciones.saludcastillayleon.es/10.1371/journal.pone.0194759

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Wong CK, Lo YY, Wong WH, Fung CS. The associations of body mass index with physical and mental aspects of health-related quality of life in Chinese patients with type 2 diabetes mellitus: results from a cross-sectional survey. Health Qual Life Outcomes. 2013;11(1):1–9. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/1477-7525-11-142

    Article  Google Scholar 

  54. Chung JO, Cho DH, Chung DJ, Chung MY. Assessment of factors associated with the quality of life in Korean type 2 diabetic patients. Intern Med. 2013;52(2):179–85. https://doiorg.publicaciones.saludcastillayleon.es/10.2169/internalmedicine.52.7513

    Article  PubMed  Google Scholar 

  55. Liao KM, Wu WC, Jang Y, Su FY, Tsai LT. Impacts of monocular, binocular, and functional visual acuity on vision-related quality of life in patients with type 2 diabetes. Sci Rep. 2021;11(1):1–9. https://doiorg.publicaciones.saludcastillayleon.es/10.1038/s41598-020-79483-9

    Article  CAS  Google Scholar 

  56. Khunkaew S, Fernandez R, Sim J. Health-related quality of life among adults living with diabetic foot ulcers: a meta-analysis. Qual Life Res. 2019;28(6):1413–27. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s11136-018-2082-2

    Article  PubMed  Google Scholar 

  57. Davoudi M, Rezaei P, Rajaeiramsheh F, Ahmadi SM, Taheri AA. Predicting the quality of life based on pain dimensions and psychiatric symptoms in patients with painful diabetic neuropathy: a cross-sectional prevalence study in Iranian patients. Health Qual Life Outcomes. 2021;19(1):1–9. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12955-021-01697-w

    Article  Google Scholar 

  58. Zurita-Cruz JN, Manuel-Apolinar L, Arellano-Flores ML, Gutierrez-Gonzalez A, Najera-Ahumada AG, Cisneros-González N. Health and quality of life outcomes impairment of quality of life in type 2 diabetes mellitus: a cross-sectional study. Health Qual Life Outcomes. 2018;16(1):1–7. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12955-018-0906-y

    Article  Google Scholar 

  59. Foster ED, Bridges ND, Feurer ID, Eggerman TL, Hunsicker LG, Alejandro R. Improved health-related quality of life in a phase 3 islet transplantation trial in type 1 diabetes complicated by severe hypoglycemia. Diabetes Care. 2018;41(5):1001–8. https://doiorg.publicaciones.saludcastillayleon.es/10.2337/dc17-1779

    Article  PubMed  PubMed Central  Google Scholar 

  60. Gillani SW, Ansari IA, Zaghloul HA, Abdul MI, Sulaiman SA, Baig MR, Rathore HA. Women with type 1 diabetes mellitus: effect of disease and Psychosocial-Related correlates on health-related quality of life. J Diabetes Res. 2018;2018. https://doiorg.publicaciones.saludcastillayleon.es/10.1155/2018/4079087

  61. Dixit S, Maiya A. Diabetic peripheral neuropathy and its evaluation in a clinical scenario: a review. J Postgrad Med. 2014;60(1):33.

    CAS  PubMed  Google Scholar 

  62. Kleefstra N, Landman GW, Houweling ST, Ubink-Veltmaat LJ, Logtenberg SJ, Meyboom-de Jong B, Coyne JC, Groenier KH, Bilo HJ. Prediction of mortality in type 2 diabetes from health-related quality of life (ZODIAC-4). Diabetes Care. 2008;31(5):932–3. https://doiorg.publicaciones.saludcastillayleon.es/10.2337/dc07-2072

    Article  PubMed  Google Scholar 

  63. Bjorner JB, Wolden ML, Gundgaard J, Miller KA. Benchmarks for interpretation of score differences on the SF-36 health survey for patients with diabetes. Value Health. 2013;16(6):993–1000. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jval.2013.06.022

    Article  PubMed  Google Scholar 

  64. Landman GW, Van Hateren KJ, Kleefstra N, Groenier KH, Gans RO, Bilo HJ. Health-related quality of life and mortality in a general and elderly population of patients with type 2 diabetes (ZODIAC-18). Diabetes Care. 2010;33(11):2378–82. https://doiorg.publicaciones.saludcastillayleon.es/10.2337/dc10-0979

    Article  PubMed  PubMed Central  Google Scholar 

  65. Li CL, Chang HY, Hsu CC, Lu JF, Fang HL. Joint predictability of health related quality of life and leisure time physical activity on mortality risk in people with diabetes. BMC Public Health. 2013;13(1):1–10. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/1471-2458-13-67

    Article  CAS  Google Scholar 

  66. Corathers SD, Kichler JC, Fino NF, Lang W, Lawrence JM, Raymond JK, Yi-Frazier JP, Dabelea D, Liese AD, Saydah SH, Seid M. High health satisfaction among emerging adults with diabetes: factors predicting resilience. Health Psychol. 2017;36(3):206. https://doiorg.publicaciones.saludcastillayleon.es/10.1037/hea0000419

    Article  PubMed  Google Scholar 

  67. Elissen AM, Hertroijs DF, Schaper NC, Bosma H, Dagnelie PC, Henry RM, van der Kallen CJ, Koster A, Schram MT, Stehouwer CD, Schouten JS. Differences in biopsychosocial profiles of diabetes patients by level of glycaemic control and health-related quality of life: the Maastricht study. PLoS ONE. 2017;12(7):e0182053. https://doiorg.publicaciones.saludcastillayleon.es/10.1371/journal.pone.0182053

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  68. Bak E, Marcisz C, Nowak-Kapusta Z, Dobrzyn-Matusiak D, Marcisz E, Krzeminska S. Psychometric properties of the audit of Diabetes-Dependent quality of life (ADDQoL) in a population-based sample of Polish adults with type 1 and 2 diabetes. Health Qual Life Outcomes. 2018;16(1):1–9. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12955-018-0878-y

    Article  Google Scholar 

  69. Jacobson AM, Braffett BH, Cleary PA, Dunn RL, Larkin ME, Wessells H, Sarma AV, DCCT/EDIC Research Group. Relationship of urologic complications with health-related quality of life and perceived value of health in men and women with type 1 diabetes: the diabetes control and complications trial/epidemiology of interventions and complications (DCCT/EDIC) cohort. Diabetes Care. 2015;38(10):1904–12. https://doiorg.publicaciones.saludcastillayleon.es/10.2337/dc15-0286

    Article  PubMed  PubMed Central  Google Scholar 

  70. Oluchi SE, Manaf RA, Ismail S, Kadir Shahar H, Mahmud A, Udeani TK. Health related quality of life measurements for diabetes: A systematic review. Int J Environ Res Public Health. 2021;18(17):9245. https://doiorg.publicaciones.saludcastillayleon.es/10.3390/ijerph18179245

    Article  PubMed  PubMed Central  Google Scholar 

  71. Irianti SR, Wicaksana AL, Pangastuti HS. Validity and realiability test of the Indonesian version for diabetes quality of Life-Brief clinical inventory. Indian J Public Health Res Dev. 2021;12(1):434–9. https://doiorg.publicaciones.saludcastillayleon.es/10.37506/ijphrd.v12i1.13885

    Article  Google Scholar 

  72. Simonson DC, Halperin F, Foster K, Vernon A, Goldfine AB. Clinical and patient-centered outcomes in obese patients with type 2 diabetes 3 years after randomization to Roux-en-Y gastric bypass surgery versus intensive lifestyle management: the SLIMM-T2D study. Diabetes Care. 2018;41(4):670–9. https://doiorg.publicaciones.saludcastillayleon.es/10.2337/dc17-0487

    Article  PubMed  PubMed Central  Google Scholar 

  73. Macioch T, Sobol E, Krakowiecki A, Mrozikiewicz-Rakowska B, Kasprowicz M, Hermanowski T. Health related quality of life in patients with diabetic foot ulceration—translation and Polish adaptation of diabetic foot ulcer scale short form. Health Qual Life Outcomes. 2017;15(1):1–8. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12955-017-0587-y

    Article  Google Scholar 

  74. Şahin S, Haliloğlu Ö, Korkmaz ÖP, Durcan E, ŞAHİN HR, Yumuk VD, Damci T, İlkova HM, Siva ZO. Does treatment with sodium-glucose co-transporter-2 inhibitors have an effect on sleep quality, quality of life, and anxiety levels in people with type 2 diabetes mellitus? Turk J Med Sci. 2021;51(2):735–42. https://doiorg.publicaciones.saludcastillayleon.es/10.3906/sag-2008-37

    Article  CAS  PubMed Central  Google Scholar 

  75. Moriconi E, Camajani E, Fabbri A, Lenzi A, Caprio M. Very-low-calorie ketogenic diet as a safe and valuable tool for long-term glycemic management in patients with obesity and type 2 diabetes. Nutrients. 2021;13(3):758. https://doiorg.publicaciones.saludcastillayleon.es/10.3390/nu13030758

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  76. Jiwani R, Dennis B, Bess C, Monk S, Meyer K, Wang J, Espinoza S. Assessing acceptability and patient experience of a behavioral lifestyle intervention using Fitbit technology in older adults to manage type 2 diabetes amid COVID-19 pandemic: A focus group study. Geriatr Nurs. 2021;42(1):57–64. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.gerinurse.2020.11.007

    Article  PubMed  Google Scholar 

  77. Azogui-Lévy S, Dray‐Spira R, Attal S, Hartemann A, Anagnostou F, Azerad J. Factors associated with oral health‐related quality of life in patients with diabetes. Aust Dent J. 2018;63(2):163–9. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/adj.12577

    Article  PubMed  Google Scholar 

  78. Modarresnia L, Golgiri F, Madani NH, Emami Z, Tanha K. Restless legs syndrome in Iranian people with type 2 diabetes mellitus: the role in quality of life and quality of sleep. J Clin Sleep Med. 2018;14(2):223–8. https://doiorg.publicaciones.saludcastillayleon.es/10.5664/jcsm.6938

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors express deep appreciation to Dr. PS Tsai, Dr. PC Chang, and Dr. FC Lai for their suggestions and comments to the work.

Funding

None.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the design and performance of study. ALW and NSH did data curation and analysis. ALW wrote the first draft of manuscript. All authors reviewed and agreed to publish the final version of the manuscript.

Corresponding author

Correspondence to Anggi Lukman Wicaksana.

Ethics declarations

Ethical approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wicaksana, A.L., Hertanti, N.S. Concept analysis of diabetes-related quality of life. Health Qual Life Outcomes 23, 27 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12955-025-02354-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12955-025-02354-2

Keywords