Health-related quality of life in Indonesian type 2 diabetes mellitus outpatients measured with the Bahasa version of EQ-5D

Health-related quality of life among people with diabetes: A cross-sectional study in Hail region, Saudi Arabia ​

BACKGROUND

Diabetes Mellitus is a serious and expanding health problem, together with the issues of health- related quality of life (HRQoL). This further puts pressure on the government to allocate more funds for public healthcare.

OBJECTIVES

This study was devised to evaluate the health-related quality of life of people living with diabetes in Hail region of Saudi Arabia.

METHODS

This cross-sectional research was carried out at eight locations in the Hail region of Saudi Arabia between 21st March-20th May 2022 using the adapted version of the Euro QoL-5 dimension (EQ-5D-3L) questionnaire. A multistage random sample approach was used to choose the diabetes clinics, and data collectors approached the participants in the waiting areas to collect the information. The data were analyzed using logistic regression analysis, Mann-Whitney test, and Kruskal-Wallis tests in IBM SPSS statistics 21.0.

RESULTS

The mean HRQoL score was 0.71±0.21 with a visual analog score of 68.4±16.2. Despite having much higher levels of quality of life in terms of self-care (85.8%), regular activity (73.8%) and anxiety (71.8%), nearly one half of the people reported moderate pain or discomfort, and more than one third reported having moderate mobility issues. In general, the quality of life for women was poorer than for men. Individuals with diabetes who were unmarried, young, educated, financially secure, and taking only oral medication had much improved HRQoL. The Euro QoL of people with diabetes patients were significantly influenced by gender, marital status, age, education, employment and treatment modality (p-values < 0.05), whereas only treatment modality had a significant impact on the patients' visual analogue measures (p-values < 0.05).

CONCLUSIONS

The HRQoL of people with diabetes in Hail region was moderate in general, with pain and mobility issues being particularly prevalent. Gender, marital status, age, education, employment and type of medication therapy are significant predictors of HRQoL of patients with diabetes. Hence, planning and programs to enhance the HRQoL of people with diabetes, especially women is recommended.

Impact of foot ulcer-related factors on quality of life in patients with diabetes: Prospective observational study

Quality of life (QOL) may be impacted by foot ulcer-related factors, with prevention of diabetes-related foot ulcers or more effective early healing helping to improve overall patient QOL. This study, which examined the relationship between foot ulcer-related factors and QOL in patients with diabetes, was conducted as a secondary analysis of a prospective observational study entitled: "Factors associated with the discontinuation of wound care specialist clinic visits in patients with diabetic foot ulcers". We investigated EQ-5D-5L, patient characteristics and foot ulcer-related factors of 73 patients with diabetes-related foot ulcers who visited one wound clinic in Indonesia between August 2020 and February 2021. Results showed that the mean health utility was 0.294 ± 0.371. Factors selected for the multiple regression analysis included inflammation/infection of DMIST, first-ever foot ulcer, and size of DMIST. First-ever foot ulcer (β = 0.309, p = 0.003) and size of DMIST (β = -0.316, p = 0.015) were significantly associated with the health utility (p < 0.001). Significant improvement in the health utility of 15 patients was observed when the ulcer healed (Wilcoxon signed-rank sum test, p = 0.001). In conclusion, not only ulcer severity but also the first-ever foot ulcer itself affected the QOL in patients with diabetes. These results suggest there will be a greater impact on the QOL of patients who develop diabetes-related foot ulcers for the first time, along with the importance of prevention and early healing, through early infection control and wound size reduction.

Patient activation levels and socioeconomic factors among the Amazonas population with diabetes: a cross-sectional study

BACKGROUND

The presence of chronic conditions such as type 2 diabetes mellitus (T2DM) requires behavioral lifestyle changes mediated by individuals' motivation for change and adherence to treatment. This study aims to explore activation levels in individuals with T2DM treated in primary care facilities and to identify the association between demographic, clinical, psychosocial factors, and patient activation amongst populations in the Brazilian state of Amazonas.

METHODS

SAPPA is a cross-sectional study conducted in Amazonas, approved by the Universidade Federal do Amazona's IRB in Brazil. Individuals with T2DM were evaluated in their homes (n = 4,318,325). The variables were sex, age, skin color, education level; health-related variables such as body mass index, nutritional behavior, and frequency of physical activity. Measures related to patient self-management behaviors over the past 6 months (Patient Activation Measure - PAM-13) were included in the survey. Descriptive and frequency data are presented as mean (standard deviation (SD)) or numeric percentage). Statistical testing was performed using IBM SPSS V.26, and a p-value of < 0.050 showed significance. Activation levels were dichotomized into low activation (Levels 1 and 2) and high activation (Levels 3 and 4). A multivariate linear model assessed the association between the PAM-13 score and the following variables: age, sex, BMI, skin color, number of comorbidities, burden of symptoms, and number of medications.

RESULTS

Logistic regression analyses indicated a statistically significant association between sex, age, education, self-rated health, and general satisfaction with life. men were 43% more likely to score lower levels (p < 0.001). The results also indicated that advanced age had lower PAM levels (p < 0.001). Participants with fewer years of education were 44% more likely to have lower levels of PAM (p = 0.03). Worse self-rated health (p < 0.001) and lower general life satisfaction (p = 0.014) were associated with lower PAM levels.

CONCLUSIONS

Low patient activation was associated with worse sociodemographic, health, and psychological conditions in the Amazon population. The low level of patient activation observed in this sample highlights an important impediment to diabetes disease management/self-management in disadvantaged populations.

An Overview of Pharmaceutical Care in Type II Diabetes Mellitus Patients: Current Position and Prospects

Diabetes mellitus is an ongoing disease that is related to a high mortality rate due to severe complications. Diabetes mellitus type 2 (DMT2) is a persistent metabolic deficiency and its prevalence has been increasing consistently worldwide. As a result, it is rapidly turning into a plague in some parts of the world, and the number of people affected is expected to double in the following decade due to an increase in the maturing populace, adding to the overall existing importance for medical service providers, particularly in the underdeveloped nations. Extensive diabetes care is an intricate task that takes a whole group of medical care experts, including drug specialists, to provide multidisciplinary care for the patients. The duty of drug experts has changed significantly in recent years, changing from conventional drug dispensing in the drug store to patient- centered clinical support services. Upgrading the medication treatment to accomplish better remedial results without causing drug-related issues has been considered the essential objective of treatment for diabetic patients. This review discusses the healthcare needs of patients with T2DM, the current evidence for the role of pharmacists in diabetes care, and insight into the upcoming role of pharmacists in its management. The advanced role of clinical pharmacists in diabetes control through drug treatment, diabetes care centers, and diabetes health counselor schooling, is also discussed in this review.

Impaired health-related quality of life due to elevated risk of developing diabetes: A cross-sectional study in Indonesia

BACKGROUND

This study investigated the association between elevated risk of developing diabetes and impaired health-related quality of life (HRQoL) in the Indonesian population.

METHODS

A cross-sectional study was conducted on 1,336 Indonesians from the general population who had no previous diagnosis of diabetes. Utility score to represent HRQoL was measured using the EuroQol 5-dimension, while the risk for developing diabetes was determined using the Finnish Diabetes Risk Score (FINDRISC) instrument. All participants underwent a blood glucose test after fasting for 8 hours. The association between FINDRISC score and HRQoL adjusted for covariates was analysed using multivariate Tobit regression models. Minimal clinically important differences were used to facilitate interpretation of minimal changes in utility score that could be observed.

RESULTS

The median (interquartile range) of the overall FINDRISC score was 6 (7), while the mean (95% confidence intervals) of the EQ-5D utility score was 0.93 (0.93-0.94). Once adjusted for clinical parameters and socio-demographic characteristics, participants with a higher FINDRISC score showed a significantly lower HRQoL. No significant association was detected between fasting blood glucose level categories and HRQoL. A difference of 4-5 points in the FINDRISC score was considered to reflect meaningful change in HRQoL in clinical practice.

CONCLUSION

An elevated risk of developing diabetes is associated with a lower HRQoL. Therefore, attention should be paid not only to patients who have already been diagnosed with diabetes, but also to members of the general population who demonstrate an elevated risk of developing diabetes. This approach will assist in preventing the onset of diabetes and any further deterioration of HRQoL in this segment of the Indonesian population.

Depression and health-related quality of life of patients with type 2 diabetes attending tertiary level hospitals in Dhaka, Bangladesh

INTRODUCTION

Type 2 diabetes mellitus (T2DM) and depression are closely linked. People with T2DM are at increased risk of developing depression and vice versa. T2DM and depression comorbid conditions adversely affect Health-Related Quality of Life (HRQOL) and management of T2DM. In this study, we assessed depression and HRQOL among patients with T2DM in Dhaka, Bangladesh.

METHODS

A cross-sectional study was conducted in two tertiary-level hospitals in Dhaka, Bangladesh. Data were collected from 318 patients with T2DM. A set of standard tools, PHQ-9 (for assessing depression) and EuroQol-5D-5L (for assessing the HRQOL), were used. Statistical analyses, including Chi-square and Fisher's exact tests, Wilcoxon (Mann-Whitney), and Spearman's correlation coefficient tests, were performed using SPSS (v.20).

RESULTS

The majority of the patients (58%) were females, with a mean age (standard deviation) of 52 ± 10 years, and 74% of patients lived in urban areas. The prevalence of depression was 62% (PHQ-9 score ≥ 5). Over three-quarters (76%) reported problems in the anxiety/ depression dimension of EQ-5D, followed by pain/discomfort (74%), mobility (40%), self-care (36%), and usual activities (33%). The depression and T2DM comorbid condition were associated with all the five dimensions of EQ-5D (χ2 statistics with df = 1 was 52.33, 51.13, 52.67, 21.61, 7.92 for mobility, self-care, usual activities, pain/discomfort, and anxiety/ depression dimensions respectively, p- < 0.01). The mean EQ-5D index (0.53 vs. 0.75) and the mean EQ-5D VAS (65 vs. 76) both showed lower values in T2DM patients with depression compared to T2DM patients without depression (Wilcoxon test, p- < 0.001).

CONCLUSIONS

We conclude that the majority of the patients with T2DM had comorbid conditions, and the HRQOL was negatively affected by comorbid depression in T2DM patients. This suggests the importance of timely screening, diagnosis, treatment, and follow-up of comorbid depression in T2DM patients to improve overall health and QOL.

Health-related Quality of Life of Patients With Diabetes Mellitus Measured With the Bahasa Indonesia Version of EQ-5D in Primary Care Settings in Indonesia

OBJECTIVES

Diabetes mellitus (DM) is a serious public health issue that places a heavy financial, social, and health-related burden on individuals, families, and healthcare systems. Self-reported health-related quality of life (HRQoL) is extensively used for monitoring the general population's health conditions and measuring the effectiveness of interventions. Therefore, this study investigated HRQoL and associated factors among patients with type 2 DM at a primary healthcare center in Indonesia.

METHODS

A cross-sectional study was conducted in Klaten District, Central Java, Indonesia, from May 2019 to July 2019. In total, 260 patients with DM registered with National Health Insurance were interviewed. HRQoL was measured with the EuroQol Group's validated Bahasa Indonesia version of the EuroQoL 5-Dimension 5-Level (EQ-5D-5L) with the Indonesian value set. Multivariate regression models were used to identify factors influencing HRQoL.

RESULTS

Data from 24 patients were excluded due to incomplete information. Most participants were men (60.6%), were aged above 50 years (91.5%), had less than a senior high school education (75.0%), and were unemployed (85.6%). The most frequent health problems were reported for the pain/discomfort dimension (64.0%) followed by anxiety (28.4%), mobility (17.8%), usual activities (10.6%), and self-care (6.8%). The average EuroQoL 5-Dimension (EQ-5D) index score was 0.86 (95% confidence interval [CI], 0.83 to 0.88). In the multivariate ordinal regression model, a higher education level (coefficient, 0.08; 95% CI, 0.02 to 0.14) was a significant predictor of the EQ-5D-5L utility score.

CONCLUSIONS

Patients with diabetes had poorer EQ-5D-5L utility values than the general population. DM patients experienced pain/discomfort and anxiety. There was a substantial positive relationship between education level and HRQoL.

Health-related quality of life, medical resource use and physical function in patients with diabetes mellitus and depression: A cross-sectional analysis from the National Health and Nutrition Examination Survey

BACKGROUND

Patients with either diabetes (DM) or depression (DP) are prone to developing other diseases and require more medical resources than do the general population. This study aimed to examine health-related quality of life, medical resource use, and physical function of patients with both diabetes mellitus and depression, and the magnitude of effects among patients with different combinations of comorbid diseases.

METHODS

A retrospective cross-sectional study was conducted using the National Health and Nutrition Examination Survey data from 2009 to 2014. Total 16,159 patients were studied and classified into one of 4 groups: both DM and DP(DM+/DP+), DM+/without DP(DP-), without DM (DM-)/DP+, and DM-/DP-, according to the perceived score in Patient Health Questionnaire and diabetes questionnaire in NHANES. Health-related quality of life (HRQoL), medical resource use, and physical function were measured as outcomes of interests. Multivariate logistic regression models were used.

RESULTS

Compared with DM-/DP- patients, the DM+/DP+ (adjusted odds ratio [AOR]: 2.59; 95 % CI: 1.77-3.80) and DM-/DP+ (AOR: 2.44; 95 % CI: 1.94-3.06) had greater likely to have worse health. In addition, the DM+/DP+ (AOR: 5.40; 95 % CI: 1.30-22.41) and DM+/DP- (AOR: 2.49; 95 % CI: 1.91-3.25) were more likely to have medical visits, and worse physical function.

CONCLUSIONS

This study found that both depression and diabetes mellitus worsen HRQoL, increase medical resource use, and decrease physical function. Depression status should be considered by clinicians treating diabetes mellitus patients in order to improve their HRQoL, reduce medical resource use, and improve physical function.

Glycemic status and health-related quality of life (HRQOL) in populations at risk of diabetes in two Latin American cities

PURPOSE

To estimate the health-related quality of life (HRQOL) according to glycemic status, and its relationship with sociodemographic and clinical factors in a population at risk of developing type 2 diabetes (T2D).

METHODS

Cross-sectional study, using cluster sampling. Data were collected from 1135 participants over 30 years of age, at risk of developing T2D from the PREDICOL project. Participants' glycemic status was defined using an oral glucose tolerance test (OGTT). Participants were divided into normoglycemic subjects (NGT), prediabetes and diabetics do not know they have diabetes (UT2D). HRQOL was assessed using the EQ-5D-3L questionnaire of the EuroQol group. Logistic regression and Tobit models were used to examine factors associated with EQ-5D scores for each glycemic group.

RESULTS

The mean age of participants was 55.6 ± 12.1 years, 76.4% were female, and one in four participants had prediabetes or unknown diabetes. Participants reported problems most frequently on the dimensions of Pain/Discomfort and Anxiety/Depression in the different glycemic groups. The mean EQ-5D score in NGT was 0.80 (95% CI 0.79-0.81), in prediabetes, 0.81 (95% CI 0.79-0.83), and in participants with UT2D of 0.79 (95% CI 0.76-0.82), respectively. Female sex, older age, city of residence, lower education, receiving treatment for hypertension, and marital status were significantly associated with lower levels of HRQOL in the Tobit regression analysis.

CONCLUSIONS

HRQOL of NGT, prediabetes, and UT2D participants was statistically similar. However, factors such as gender, age. and place of residence were found to be significant predictors of HRQOL for each glycemic group.

Quantifying health-related quality of life in Malaysian type 2 diabetes: focusing on complication types and severity

PURPOSE

There is a knowledge gap of health utility values for Type 2 Diabetes Mellitus (T2DM) complications in Malaysia. This study aimed to estimate EQ-5D-5L utility values and evaluate health-related quality of life (HRQoL) for Malaysian T2DM associated with complications and clinical characteristics.

METHODS

A cross-sectional study was conducted on T2DM patients at a tertiary hospital outpatient using the Malay and English version of the EQ-5D-5L questionnaire. Health utility values were derived using the Malaysian EQ-5D-5L value set. Ordinary least squares (OLS) multivariable regression model was used to estimate the health utility decrements associated with T2DM-related complications and clinical characteristics.

RESULTS

A total of 513 T2DM patients were recruited. Overall, pain was the most affected of all five EQ-5D-5L dimensions. Patients with foot ulcer, amputation, severe heart failure and frequent hypoglycemia reported more problems collectively in all EQ-5D-5L dimensions. Older age, lower education level, longer duration of T2DM, urine protein creatine index (UPCI) > 0.02 g/mmol, and injection therapy were significantly associated with lower EQ-5D-5L utility values (p < 0.004, Bonferroni adjusted). The lowest unadjusted utility values were reported for severe heart failure 0.65 (interquartile range, IQR 0.50), frequent hypoglycemia 0.74 (0.22) and being amputated 0.78 (0.47). In the multivariable regression model after controlling for sociodemographic and clinical characteristics, the largest utility value decrement was observed for amputation (- 0.158, SE 0.087, p = 0.05), frequent hypoglycemia (- 0.101, SE 0.030, p = 0.001), myocardial infarction (-0.050, SE 0.022, p = 0.022) and obesity (-0.034, SE 0.016, p = 0.029).

CONCLUSION

Larger utility value decrements were found for severe stages of complications. These findings suggest the value of defining severity of complications in utility elicitation studies. The utility decrement quantified for different T2DM complication severity will be useful for economic evaluations within diabetic-related fields.

Health-related quality of life and its determinants among patients with diabetes mellitus: a multicentre cross-sectional study in Northwest Ethiopia

OBJECTIVES

This study assessed the health-related quality of life (HRQoL) and its determinants in patients with diabetes.

DESIGN AND SETTING

An institutional-based multicentre prospective cross-sectional study design was conducted in diabetes follow-up clinics of selected hospitals in Northwest Ethiopia from April to July 2022.

PARTICIPANTS

All eligible adult patients with diabetes at the selected facilities.

MAIN OUTCOME MEASURES

HRQoL was measured using EuroQol 5-dimensions 5-levels (EQ-5D-5L) and the EuroQol-Visual Analogue Scales (EQ-VAS) instruments. A lower EQ-5D-5L utility mean score for each dimension and/or an overall lower utility score of EQ-5D-5L and EQ-VAS scores are intended to show poor HRQoL. Linear regression analysis was used to identify the association of HRQoL and other variables.

RESULTS

Out of the 422 samples approached, 402 (95.3%) participated in the study. Most of the participants (>85%) reported having moderate-to-severe problems in all five EQ dimensions. The overall EQ-5D-5L utility and EQ-VAS scores were 0.56 (±0.11) and 56.7 (±10.1), respectively. A higher body mass index (BMI) (p < 0.001), a higher number of medications (p = 0.037), a high level of blood glucose (p < 0.001), the presence of comorbidities and/or complications (p = 0.031), hypoglycaemia (p = 0.043) and taking insulin (p < 0.001) were associated with worsened HRQoL, whereas practicing self-monitoring of blood glucose (p = 0.002) and taking aspirin (p = 0.008) had a significant association with increased HRQoL.

CONCLUSION

This study concluded that the HRQoL of patients was compromised in all five measuring dimensions. The EQ-5D-5L utility and EQ-VAS scores were far lower than other findings. Clinical and medication-related variables, such as a higher BMI, a higher number of medications, the presence of comorbidities and/or complications, hypoglycaemia and insulin use were associated with poor HRQoL in patients with diabetes. As a result, interventions should be individualised and focused on determinant factors.

Predicting Factors of Health-Related Quality of Life Among Adults With Type 2 Diabetes: A Systematic Review

Introduction

One of the most important outcomes of diabetes care and treatment is an improvement in patients' health-related quality of life (HRQoL).

Objective

This study aimed to review the empirical evidence regarding the predictors of HRQoL among adults with type 2 diabetes mellitus (T2DM).

Methods

To find all English-language articles published between 2012 and 2022, a comprehensive literature search was conducted using ProQuest, Scopus, PubMed, Science Direct, and CORE. Cross-sectional studies were the focus of this analysis. Search terms included "type 2 diabetes" OR "T2DM" AND "health-related quality of life" OR "HRQoL" AND ("predicting factors" OR "influencing factors" OR "associated factors"). The original search yielded a total of 1,089 studies, from which 35 met the review's inclusion criteria. The systematic review protocol was registered with PROSPERO CRD42023431229.

Results

The final analysis comprised 24,346 people with type 2 diabetes and used data from 35 cross-sectional studies conducted during the preceding decade. Socio-demographic factors (age, marital status, gender, monthly income, education, area of residence, and religiosity), patient-centered factors (diabetes knowledge and self-efficacy), disease characteristics (comorbidities, duration of diabetes, and insulin treatment), self-management behaviors (physical activity, medication adherence, and frequent glucose checks), and family support were found to be predictors of HRQoL.

Conclusion

A diabetes program to enhance the HRQoL among people with T2DM is highly encouraged to address these factors, which can be focused on promoting self-management behaviors, diabetes distress management, and encourage family support.

Social benefits and individual costs of creativity in art and science: A statistical analysis based on a theoretical framework

In this study, we statistically identified and characterized the relationship between the long-run social benefits of creativity and the in-life individual costs (in terms of happiness and health) of creativity. To do so, we referred to a theoretical framework that depicts a creator’s life. We generated a balanced dataset of 200 creators (i.e., composers, painters, mathematicians and physicists, and biologists and chemists born between 1770 and 1879), and calculated standardized evaluations of the long-run social benefits in different domains (performances, exhibitions, citations). We performed regression analysis and identified the statistical determinants of the relationship between a creator’s social benefits and the costs to their happiness and health. We found that creativity represented an individual cost for all four creator groups, with a larger impact on happiness than on health; the cost was greater if creativity was based more on divergent than on convergent thinking or if authors faced greater language issues. The impacts of long-run social benefits on individual happiness and health were similar in the arts and sciences if institutional differences were taken into account.

Health-related quality of life of patients with type 2 diabetes mellitus at a tertiary care hospital in Ethiopia

Background

Type 2 diabetes mellitus (T2DM) and its treatment impact patients’ physical health as well as emotional and social wellbeing. This study aimed to assess health-related quality of life (HRQoL) and associated factors among patients with T2DM at a tertiary care hospital in Ethiopia.

Methods

A face-to-face cross-sectional survey was conducted among patients with T2DM at Tikur Anbessa Specialized Hospital in Addis Ababa, Ethiopia. We collected data using a validated Amharic version of the 5-level EuroQoL-5 dimensions (EQ-5D-5L) questionnaire. Descriptive statistics were used to present patient characteristics. Kruskal-Wallis and Mann-Whitney U tests were performed to explore differences in the median scores of EQ-5D-5L utility and visual analog scale (EQ-VAS). Multivariable Tobit regression models were used to identify predictors of HRQoL. Utility scores were calculated using disutility weights of the Ethiopian general population. Statistical significance was determined at p < 0.05.

Results

A total of 360 patients with T2DM participated. Mean (SD) age was 64.43(10.61) years. Reported health problems were mostly in the pain/discomfort (67.3%) dimension followed by mobility (60.5%), whereas the usual activities domain (34.1%) was the least health problem being reported. The median (IQR) EQ-5D-5L utility and EQ-VAS scores were 0.95 (0.88–0.96) and 80 (75.0–85.0), respectively. In multivariable Tobit regression models older age, having poor glycemic control, longer duration of diabetes, insulin usage, obesity, and having diabetes-related complications were significant negative predictors of HRQoL.

Conclusions

Overall, patients with T2DM had lower HRQoL than the general population, which was attributed to being older age, longer duration of diabetes, insulin use, obesity, inadequate glycemic control, and diabetes-related complications. The utility index we generated can be used in future economic evaluations to inform decisions about alternative interventions and resource allocation.

Factors Associated with Quality of Life in Patients with Type 2 Diabetes of South Benin: A Cross-Sectional Study

Background: Type 2 diabetes (T2D) adversely affects health-related quality of life (QoL). However, little is known about the QoL of diabetic patients in Benin, where the disease is a growing concern. Thus, this study aims to assess the QoL and its associated factors among T2D patients in Cotonou, southern Benin. Methods: A total of 300 T2D patients (age > 18 years) were enrolled, and the diabetes-specific quality of life (DQoL) and Natividad self-care behaviors’ (SCB) instruments were used for data collection. DQoL scores were calculated, and factors associated with DQoL explored using logistic regression. Results: The mean of patients’ DQoL was 38.1 ± 4.1, with 43% having low QoL. In terms of DQoL, 56.3% reported a high diabetes impact, followed by low life satisfaction (53%) and high worry about diabetes (32.7%). In the logistic regression analysis, education, marital status, occupation, family history of diabetes, complications, and social support were associated with DQoL. SCB factors, including healthy eating, problem-solving, coping strategies, and risk reduction, were significant predictors of DQoL. Conclusions: Patients’ empowerment, starting with self-management education, is essential to improve the QoL of T2D patients in Cotonou. However, the programs need to target low education, low socioeconomic status, low social support, and overweight patients.

Habits model of elderly with diabetes mellitus in the coastal area of Madura Indonesia

Background: The development of research on Diabetes Mellitus (DM) increases every year. The prevalence of DM remain the world's attention and a global issue including in Indonesia. Aims: The purpose of this study was how to model daily life patterns in elderly people with diabetes in the coastal area of Madura. Methods: This study used an analytical design to model the habits. The study population of the Madura coastal elderly community with DM through cross sectional design. There was 47 elderly as sample using purposive sampling technique. The instruments used were the Barthel index questionnaire to assess ADL, the Depression Anxiety Stress Scale (DASS) questionnaire, and the respondent characteristic questionnaire. The results of the study were analyzed using structural equation modeling analysis. Results: This study shows that there was only the effect of Respondent characteristics on activity daily life and coping mechanisms on psychiatric conditions. Significance test shows that there is an influence of respondent characteristics on Activity Daily Life with a coefficient of -0.748 and an R-square value of 0.559 in the moderate category. There is an influence of the coping mechanism on the psychological condition with a coefficient of -0.397 and an R-square value of 0.158 in the weak category. Conclusions: Model analysis shows that only two significant variable. First, respondent characteristics to activity daily life. Second, coping mechanism to psychiatric conditions, while other variables are not significant. This may be due to the existence of other variables such as diet and others that were not studied.

Health Utilities in Patients with Type 2 Diabetes in Taiwan

We aimed to measure health utilities in patients with diabetes mellitus (DM) in Taiwan and to estimate the impact of common DM-related complications and adverse effects (AEs) on health utilities. The present study was a cross-sectional survey of DM patients at a metropolitan hospital. Respondents’ health-related quality of life (HRQoL) was assessed by the EQ-5D-5L, and ordinary least-squares (OLS) regression was used to estimate the impact of self-reported DM-related complications and AEs on health utilities after controlling for age, gender, and duration of DM. A total of 506 eligible adults with type 2 DM (T2DM) were enrolled. The EQ-5D index values in our study sample ranged from −0.13 to 1, with a mean ± standard deviation of 0.88 ± 0.20. As indicated by the negative regression coefficients, the presence of any complication or AE was associated with lower EQ-5D index values, and the greatest impact on the score was made by amputation (−0.276), followed by stroke (−0.211), and blindness (−0.203). In conclusion, the present study elicited health utilities in patients with T2DM in Taiwan using the EQ-5D-5L. These estimated utility decrements provided essential data for future DM cost–utility analyses that are needed as a result of the increasing prevalence and health expenditures of DM.

Associations between depressive symptoms, anxiety symptoms, their comorbidity and health-related quality of life: a large-scale cross-sectional study

Background

There were few studies exploring the associations between depressive symptoms, anxiety symptoms and health-related quality of life (HRQoL) in the general population, especially in resource limited area. The aims of this study were to assess the associations between depressive symptoms, anxiety symptoms, their comorbidity and HRQoL in rural area.

Methods

A total of 23,496 eligible participants from Henan rural cohort were included. The Patient Health Questionnaire-2 (PHQ-2) and Generalized Anxiety Disorder-2 (GAD-2) were employed to assess depressive and anxiety symptoms, respectively. HRQoL was measured via European Quality of Life Five Dimension Five Level Scale (EQ-5D-5L). Tobit regression and generalized linear model were utilized to explore the associations between depressive symptoms, anxiety symptoms, their comorbidity and HRQoL.

Results

A total of 1320 individuals were identified as depressive symptoms with a prevalence rate of 5.62%, while 1198 participants were classified as anxiety symptoms with a prevalence rate of 5.10%. After multiple adjustment, the regression coefficients (β) and 95% confidence interval (CI) of utility index for depressive and anxiety symptoms were − 0.166 (− 0.182, − 0.149) and − 0.132 (− 0.149, − 0.114), respectively. The β and 95% CI of VAS score for depressive and anxiety symptoms were − 7.65 (− 8.60, − 6.70) and − 5.79 (− 6.78, − 4.80), respectively. Additionally, the comorbidity was strongly associated with low utility index and VAS score. These findings were observed robustly in men and women.

Conclusion

Depressive symptoms, anxiety symptoms and their comorbidity were associated with low HRQoL in rural population, which needed further efforts on preventive and treatment interventions.

Clinical trial registration

The Henan Rural Cohort Study has been registered at Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699). Date of registration: 06 July, 2015.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11969-1.

Association of multimorbidity and changes in health-related quality of life following myocardial infarction: a UK multicentre longitudinal patient-reported outcomes study

BACKGROUND

Multimorbidity is prevalent for people with myocardial infarction (MI), yet previous studies investigated single-health conditions in isolation. We identified patterns of multimorbidity in MI survivors and their associations with changes in HRQoL.

METHODS

In this national longitudinal cohort study, we analysed data from 9566 admissions with MI from 77 National Health Service hospitals in England between 2011 and 2015. HRQoL was measured using EuroQol 5 dimension (EQ5D) instrument and visual analogue scale (EQVAS) at hospitalisation, 6, and 12 months following MI. Latent class analysis (LCA) of pre-existing long-term health conditions at baseline was used to identify clusters of multimorbidity and associations with changes in HRQoL quantified using mixed effects regression analysis.

RESULTS

Of 9566 admissions with MI (mean age of 64.1 years [SD 11.9], 7154 [75%] men), over half (5119 [53.5%] had multimorbidities. LCA identified 3 multimorbidity clusters which were severe multimorbidity (591; 6.5%) with low HRQoL at baseline (EQVAS 59.39 and EQ5D 0.62) which did not improve significantly at 6 months (EQVAS 59.92, EQ5D 0.60); moderate multimorbidity (4301; 47.6%) with medium HRQoL at baseline (EQVAS 63.08, EQ5D 0.71) and who improved at 6 months (EQVAS 71.38, EQ5D 0.76); and mild multimorbidity (4147, 45.9%) at baseline (EQVAS 64.57, EQ5D 0.75) and improved at 6 months (EQVAS 76.39, EQ5D 0.82). Patients in the severe and moderate groups were more likely to be older, women, and presented with NSTEMI. Compared with the mild group, increased multimorbidity was associated with lower EQ-VAS scores (adjusted coefficient: -5.12 [95% CI -7.04 to -3.19] and -0.98 [-1.93 to -0.04] for severe and moderate multimorbidity, respectively. The severe class was more likely than the mild class to report problems in mobility, OR 9.62 (95% confidence interval: 6.44 to 14.36), self-care 7.87 (4.78 to 12.97), activities 2.41 (1.79 to 3.26), pain 2.04 (1.50 to 2.77), and anxiety/depression 1.97 (1.42 to 2.74).

CONCLUSIONS

Among MI survivors, multimorbidity clustered into three distinct patterns and was inversely associated with HRQoL. The identified multimorbidity patterns and HRQoL domains that are mostly affected may help to identify patients at risk of poor HRQoL for which clinical interventions could be beneficial to improve the HRQoL of MI survivors.

TRIAL REGISTRATION

ClinicalTrials.gov NCT01808027 and NCT01819103.

Marriage and quality of life during COVID-19 pandemic

COVID-19 pandemic has impacted people around the globe. Countries, including Indonesia, implemented large-scale social restrictions. Since marriage is found to be beneficial to people's quality of life (QoL), the study aimed to examine the QoL of married people in Indonesia during a large-scale social restriction of the COVID-19 pandemic. An online cross-sectional survey using Qualtrics was conducted in June 2020. Respondents' sociodemographic data, spouse data (as reported by the respondents), and pandemic-related data were collected, followed by QoL data, measured by WHQOOL-BREF. WHOQL-BREF consists of 26 questions grouped into four domains: physical, psychological, social relationships, and environmental. Mann-Whitney U, Kruskal-Wallis H and Spearman correlation analyses were employed to compare QoL between groups of sociodemographic characteristics. In total, 603 respondents were recruited. The respondents' mean age is 35.3 years (SD = 7.61), most are females (82%), bachelor degree graduate (95%), Islam (78%), employed (69%), and assigned to work from home during the pandemic (76%). Married men reported better QoL in almost all domains than women; employed respondents reported higher QoL scores than unemployed; higher educated respondents reported higher QoL than those with lower education; respondents with higher income reported higher QoL than those with lower income. We found significant positive correlations between the QoL scores and age, spouse's age, and marriage length, although they were considered small. Compared to Indonesian population normative scores pre-pandemic, our sample reported no difference in physical and social domains, lower in the psychological domain, but higher in the environmental domain. Indonesian married people, especially women, those with low level of education, currently out of work, and below-average financial condition are the ones who reported worse quality of life during the lockdown. These results can help direct the Indonesian government efforts in dealing with psychosocial problems during the COVID-19 pandemic, especially for married couples.

Health-related quality of life among people with type 2 diabetes mellitus - A multicentre study in Bangladesh

AIMS

This study aimed to explore the health-related quality of life and the various demographics and clinical characteristics associated with it among people with type 2 diabetes mellitus in Bangladesh.

METHODS

A total of 1253 participants with type 2 diabetes were recruited from a cross-sectional and retrospective study conducted in Bangladesh in 2017. Participants were recruited from six rural and urban diabetes hospitals. The health-related quality of life of the participants was assessed using the validated EuroQol-5D-5L scale and EuroQol-VAS score. Information was collected via face-to-face interviews and existing medical records. Data was analysed using univariate and multivariable regression analyses with bootstrap resampling.

RESULTS

The average health-related quality of life was 0.64 (±0.20) for EQ-5D-5L score and 61.69 (±34.98) for EQ-VAS score. Old age, low income, low education level, residing in an urban area, longer duration of diabetes, being physically inactive, the presence of macro- and/or micro-vascular complications, impaired cognitive function, being depressed and having anxiety were related to poor health-related quality of life.

CONCLUSION

The health-related quality of life among people with type 2 diabetes in Bangladesh is low, and various socio-demographic and psychological factors and diabetes-related complications are associated with it. This finding will help reform treatments and enforce lifestyle modifications to ensure that the burden of diabetes on people's quality of life is minimal.

Health-Related Quality of Life in Patients With Different Diseases Measured With the EQ-5D-5L: A Systematic Review

Background: The EQ-5D-5L is a generic preference-based questionnaire developed by the EuroQol Group to measure health-related quality of life (HRQoL) in 2005. Since its development, it has been increasingly applied in populations with various diseases and has been found to have good reliability and sensitivity. This study aimed to summarize the health utility elicited from EQ-5D-5L for patients with different diseases in cross-sectional studies worldwide.

Methods: Web of Science, MEDLINE, EMBASE, and the Cochrane Library were searched from January 1, 2012, to October 31, 2019. Cross-sectional studies reporting utility values measured with the EQ-5D-5L in patients with any specific disease were eligible. The language was limited to English. Reference lists of the retrieved studies were manually searched to identify more studies that met the inclusion criteria. Methodological quality was assessed with the Agency for Health Research and Quality (AHRQ) checklist. In addition, meta-analyses were performed for utility values of any specific disease reported in three or more studies.

Results: In total, 9,400 records were identified, and 98 studies met the inclusion criteria. In the included studies, 50 different diseases and 98,085 patients were analyzed. Thirty-five studies involving seven different diseases were included in meta-analyses. The health utility ranged from 0.31 to 0.99 for diabetes mellitus [meta-analysis random-effect model (REM): 0.83, (95% CI = 0.77–0.90); fixed-effect model (FEM): 0.93 (95% CI = 0.93–0.93)]; from 0.62 to 0.90 for neoplasms [REM: 0.75 (95% CI = 0.68–0.82); FEM: 0.80 (95% CI = 0.78–0.81)]; from 0.56 to 0.85 for cardiovascular disease [REM: 0.77 (95% CI = 0.75–0.79); FEM: 0.76 (95% CI = 0.75–0.76)]; from 0.31 to 0.78 for multiple sclerosis [REM: 0.56 (95% CI = 0.47–0.66); FEM: 0.67 (95% CI = 0.66–0.68)]; from 0.68 to 0.79 for chronic obstructive pulmonary disease [REM: 0.75 (95% CI = 0.71–0.80); FEM: 0.76 (95% CI = 0.75–0.77)] from 0.65 to 0.90 for HIV infection [REM: 0.84 (95% CI = 0.80–0.88); FEM: 0.81 (95% CI = 0.80–0.82)]; from 0.37 to 0.89 for chronic kidney disease [REM: 0.70 (95% CI = 0.48–0.92; FEM: 0.76 (95% CI = 0.74–0.78)].

Conclusions: EQ-5D-5L is one of the most widely used preference-based measures of HRQoL in patients with different diseases worldwide. The variation of utility values for the same disease was influenced by the characteristics of patients, the living environment, and the EQ-5D-5L value set.

Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42020158694.

Predictors of diabetes distress among older persons with type 2 diabetes mellitus in Indonesia

Background

Older persons living with diabetes have an obligation to change their daily lifestyle, which may contribute to diabetes distress. Furthermore, predictive factors of diabetes distress in older persons might be different from other age groups due to age-related factors.

Aims

The purpose of the study was to examine the predictive factors of diabetes distress in older persons diagnosed with type 2 diabetes mellitus (T2DM) in Indonesia.

Methods

A cross-sectional design was used in this study. Participants were recruited from an outpatient department of a tertiary hospital in Klaten City, Central Java, Indonesia. Data were analysed using multiple linear regression with a stepwise method.

Results

A total 198 older persons were included in the study. The study demonstrated self-efficacy (β = −0.298, P < 0.01), spirituality (β = −0.139, P < 0.05), blood glucose (β = 0.134, P < 0.05), and non-supportive family behaviour (β = 0.135, P < 0.05) as the variables that could statistically predict diabetes distress in older persons with T2DM.

Conclusions

Self-efficacy is the strongest predictor of diabetes distress. Moreover, the findings can be used as evidence to guide identification and future management of diabetes distress among older persons with T2DM.

The association between diabetic complications and health-related quality of life in patients with type 2 diabetes: a cross-sectional study from Iran

INTRODUCTION

This study aimed to investigate the health-related quality of life (HRQoL) of type 2 diabetic patients and its relationship with the complications of diabetes in Farashband County, Fars, Iran.

METHODS

Data of this cross-sectional study were collected by a researcher-made demographic questionnaire, EuroQol-5 Dimensions questionnaire (EQ-5D) and Visual Analog Scale (VAS) and also from patient records. Multivariate regression model was used to investigate the net effect of diabetes complications on HRQoL after controlling for other independent variables.

RESULTS

A total of 685 patients with a mean age of 58.36 and a disease duration of 7.64 years participated in the study. The mean EQ-5D and EQ-VAS scores of all patients were 0.64 and 56.53, respectively. The HRQoL dimensions in which the largest portions of the population had problems were Pain/Discomfort (77.23%) and Anxiety/Depression (63.50%). Among the studied diabetic patients, women, divorcees, and widows were more likely to report problems in all dimensions of HRQoL, and people without complications, people with university degrees, and employed people were more likely to report fewer problems in these dimensions (P < 0.05). After controlling for the effect of all independent variables in the multivariate regression model, a significant negative relationship was found between diabetes complications and EQ-5D: β =  - 0.149 (95% CI - 0.186, - 0.112) and EQ-VAS: β =  - 6.697 (95% CI - 9.947, - 3.747). This indicates that for each additional diabetic complication, 0.149 and 6.697 units of EQ-5D Index and EQ-VAS were reduced, respectively.

CONCLUSION

This study indicated that type 2 diabetic patients in the studied region, especially those with complications, suffer from poor HRQoL. Therefore, more attention should be paid to the main determinants of HRQoL when adopting policies for diabetes management in order to ultimately improve the HRQoL of these patients.

The differences in health-related quality of life between younger and older adults and its associated factors in patients with type 2 diabetes mellitus in Indonesia

Background

It is well known that diabetes mellitus (DM) affects health-related quality of life (HRQOL) in both younger (aged 18–64 years) and older adults (aged ≥ 65 years). However, to date, no study has compared HRQOL and its predictors between younger and older adults with DM in Indonesia. Such a comparison is important because the results can guide nurses and clinicians to establish evidence-based educational programs that are specific and suitable for patients. Therefore, the aim of this study was to investigate the difference in HRQOL and its predictors in younger and older adults with DM in Indonesia.

Methods

A cross-sectional study was conducted on 641 patients with type 2 diabetes mellitus (T2DM) who were recruited via simple random sampling from 16 primary health centers in Banyumas Regency, Indonesia. A self-administered questionnaire containing the Summary of Diabetes Self-Care Activities, the DDS17 Bahasa Indonesia, the Beck Depression Inventory II, the Self-Efficacy for Diabetes Scale, the Family APGAR, and the 36-item Short-Form Health Survey was used to measure diabetes self-management (DSM), diabetes distress (DD), depression, self-efficacy, family support, and HRQOL, respectively. Independent t-tests were used to compare the physical component summary (PCS) and mental component summary (MCS) scores between younger and older adults with T2DM. Hierarchical multiple regression analyses were used to examine the factors associated with HRQOL in both groups.

Results

PCS scores were significantly different between the two groups. Older adults reported lower PCS scores than younger adults. No differences between the two groups were observed in the MCS scores. The hierarchical multiple regression analysis showed that level of education, employment status, number of diabetes-related complications, DSM, DD, depression, and self-efficacy were significant predictors of HRQOL in younger adults, while income, depression, DD, and self-efficacy were significant predictors of HRQOL in older adults. DD was the strongest predictor of HRQOL in younger adults, and depression was the strongest predictor in older adults.

Conclusion

Older adult patients had lower PCS scores than younger adult patients. This study is the first to show that the predictors of HRQOL differ between younger and older adults with T2DM. It provides insights for nurses and clinicians in Indonesia to establish evidence-based, age-specific educational programs.

Relationship Between Finnish Diabetic Risk Score (FINDRISC) with Health-Related Quality of Life in Yogyakarta

The number of people with type 2 diabetes mellitus (T2DM) in Indonesia increases every year. Control of the development of T2DM can be done by screening using Finnish Diabetic Risk Score (FINDRISC)-Indonesian. FINDRISC is a valid tool for estimating the risk of T2DM within the next 10 years. This condition can have a major impact on the estimated life span and quality of life in the future. The purpose of this research is to determine the relationship between FINDRISC-Indonesian and respondent characteristics with HRQoL from EuroQol-5 Dimension-5 Level (EQ-5D-5L) in Yogyakarta. We conducted a cross-sectional study consisting of 125 respondents who met the inclusion criteria. The risk of developing T2DM was assessed using a validated and widely used FINDRISC (range 0-26 points), and quality of life was measured by the EQ-5D-5L instrument. Overall data were analyzed using the Pearson correlation test and Independent t-test. The results showed the domain of pain was the domain that reported most respondents' most problems (28.8%). The respondent's utility value was 0.958 ± 0.69, and the VAS value was 79.4 ± 0.7. There was a significant difference in utility value based on age characteristics (p = 0.013). There is a relationship between age and utility value (p = 0.006) and FINDRISC score with utility value (p = 0.003). This study's conclusion was high FINDRISC affects the quality of life, and older age has a low quality of life.

Quality of life among adult patients living with diabetes in Rwanda: a cross-sectional study in outpatient clinics

OBJECTIVES

To report on the disease-related quality of life of patients living with diabetes mellitus in Rwanda and identify its predictors.

DESIGN

Cross-sectional study, part of the baseline assessment of a cluster-randomised controlled trial.

SETTING

Outpatient clinics for non-communicable diseases of nine hospitals across Rwanda.

PARTICIPANTS

Between January and August 2019, 206 patients were recruited as part of the clinical trial. Eligible participants were those aged 21-80 years and with a diagnosis of diabetes mellitus for at least 6 months. Illiterate patients, those with severe hearing or visual impairments, those with severe mental health conditions, terminally ill, and those pregnant or in the postpartum period were excluded PRIMARY AND SECONDARY OUTCOME MEASURES: Disease-specific quality of life was measured with the Kinyarwanda version of the Diabetes-39 (D-39) questionnaire. A glycated haemoglobin (HbA1c) test was performed on all patients. Sociodemographic and clinical data were collected, including medical history, disease-related complications and comorbidities.

RESULTS

The worst affected dimensions of the D-39 were 'anxiety and worry' (mean=51.63, SD=25.51), 'sexual functioning' (mean=44.58, SD=37.02), and 'energy and mobility' (mean=42.71, SD=20.69). Duration of the disease and HbA1c values were not correlated with any of the D-39 dimensions. A moderating effect was identified between use of insulin and achieving a target HbA1c of 7% in the 'diabetes control' scale. The most frequent comorbidity was hypertension (49.0% of participants), which had a greater negative effect on the 'diabetes control' and 'social burden' scales in women. Higher education was a predictor of less impact on the 'social burden' and 'energy and mobility' scales.

CONCLUSIONS

Several variables were identified as predictors for the five dimensions of quality of life that were studied, providing opportunities for tailored preventive programmes. Further prospective studies are needed to determine causal relationships.

TRIAL REGISTRATION NUMBER

NCT03376607.

Health-related quality of life and its predictors among the type 2 diabetes population of Bangladesh: A nation-wide cross-sectional study

AIMS/INTRODUCTION

We aimed to assess the health-related quality of life (HRQoL) and identify its predictors among type 2 diabetes patients of Bangladesh.

MATERIALS AND METHODS

This nationwide cross-sectional study assessed HRQoL among 1,806 type 2 diabetes patients using the EuroQol-5 Dimensions Questionnaire (EQ-5D-5L), and the responses were further translated into a single summary crosswalk index score using the UK time trade-off value set. The predictors were determined using multinomial logistic regression analysis.

RESULTS

The mean EQ-5D-5L index score was 0.62 (standard deviation 0.25), and men scored better than women. More than half of the study participants (53.4%) were ranked as "average" HRQoL. Overall, 64% of respondents had a "problem" at least in one of the dimensions of the EQ-5D-5L, and the burden of reported "problems" was higher among women (70%). Among the five dimensions, the highest reported "problem" was 79.8% for anxiety/depression, 77.7% for pain/discomfort and 60.1% for mobility. However, younger participants (aged <30 years) showed a higher burden of anxiety/depression (95%) compared with the rest of the population. The specific predictors of average/good HRQoL (odds ratio >1) were being men, living in a rural area, married, literate, a monthly income >19,488 BDT, absence of comorbidity and had a duration of diabetes ≤5 years.

CONCLUSIONS

The majority of Bangladesh's type 2 diabetes patients had an "average" HRQoL based on the EQ-5D-5L index score. In broad terms, the identified predictors were sex, place of residence, marital status, literacy, monthly income, comorbidity and duration of diabetes.

The nursing outlook of the self- and family management support programs among Indonesian with diabetes: An umbrella review

BACKGROUND AND AIMS

Diabetes is one of the most critical diseases particularly in developing countries such as Indonesia. Various diabetes approaches have been well conducted to prevent complications. However, little has been discussed in association with the achievement of self- and family management support programs in Indonesia. Thus, the objective of the umbrella review is to evaluate the implementation of the self- and family management support programs among Indonesian with diabetes.

METHOD

To guide this review, the revised self- and family management framework developed by Grey, Schulman-Green, Knafl, and Reynolds (2015) was used. A literature search was conducted via online databases including Cochrane, Scopus, ProQuest, SAGE, EBSCO, and PubMed. The inclusion criteria were diabetes studies related to self- and family management in Indonesia; articles published from 2000 to 2019; quantitative, qualitative, and review studies; used humans as research subjects; and English articles were prioritized. Meanwhile, the exclusion criteria were studies not addressing the nature of self- and family management in Indonesia, laboratory-based research using human cell and study protocol.

RESULTS

A total of 78 studies were involved in the final analysis. The facilitators and barriers, process, and outcomes (distal and proximal) were presented. The results indicated that the implementation of the self- and family management process generated favorable outcomes for the diabetes population in Indonesia.

CONCLUSIONS

The self- and family management support program is a promising strategy to improve the facilitators and overcome the barriers to diabetes care. Patients, families, diabetes nurses, and health policymakers are recommended to work in tandem to achieve successful diabetes care, particularly in the community.

Health-related quality of life and associated factors among patients with type II diabetes mellitus: A study in the family medicine center (FMC) of Agricultural General Hospital in Hanoi, Vietnam

The current study aimed to examine the health-related quality of life (HRQoL) and to identify its related factors amongst adult patients with type 2 diabetes mellitus (T2DM). This cross-sectional study recruited randomly 519 patients diagnosed with T2DM for at least 6 months in the Family medicine center (FMC) of Agricultural General Hospital in Hanoi, Vietnam. The Short Form 36 (SF-36) health survey was used to measure their HRQoL. The female patients had lower physical and mental scores than the male patients. Patients with older age, comorbidity, and insulin treatment were more likely to have lower HRQoL. Meanwhile, educational attainment and having frequent exercise were positively associated with HRQoL.

Screening for depression in diabetes in an Indian primary care setting: Is depression related to perceived quality of life?

AIMS

To screen for depression in diabetes and evaluate the contributing factors in a primary care setting in India. To evaluate the relationship of depression with perceived quality of life.

METHODS

We used convenience sampling method in this cross-sectional study. 388 consecutive patients with type 2 diabetes mellitus were enrolled over a period of one year. 50.3% patients screened positive on Patient Health Questionnaire (PHQ-9) out of which 21.4% reported moderate to severe depression. Male gender, middle age and poor glycaemic control were associated with depression. In stepwise linear regression analysis when depression category was included as an independent variable, significant difference in regression equations were found. Other independent variables which were included in regression equation were age, education, gender, income lifestyle, glycosylated haemoglobin and Body Mass Index whereas dependent variables were transformed domains of World Health Organization Quality of Life questionnaire.

RESULTS

There is high prevalence of depression in primary care in type 2 diabetes patients in this Indian setting. Depression was strongly associated with all four domains of quality of life. Highest association with depression was seen in Physical domain (β -0.385, p = 0.000) followed by Social domain (β -0.372, p = 0.000).

CONCLUSIONS

High prevalence of depression and its association with poor quality of life indicates need for improved recognition of depression for improving diabetes outcomes in this centre.

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

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.

Health-related quality of life and its associated factors in patients with type 2 diabetes mellitus

Background:

Assessing the health-related quality of life in patients with type 2 diabetes mellitus is important for evaluation of treatment outcome. The purpose of this study was to evaluate the health-related quality of life in type 2 diabetes mellitus patients and its related factors in Yazd.

Methods:

Data were gathered by using the EuroQoL-five-dimension-5 level instrument as well as using medical records of 734 outpatients with type 2 diabetes mellitus who were referred to the largest governmental diabetes center in South of Iran, Yazd province. When appropriate, the Kruskal–Wallis test or the Wilcoxon test was used to test the difference in the health-related quality-of-life scores in each factor. Finally, the adjusted limited dependent variable mixture model was developed to investigate factors associated with health-related quality-of-life scores.

Results:

The mean and median of the EuroQoL-five-dimension-5 level index values of 717 patients who completed the questionnaires were 0.75 ± 0.006 and 0.72 ± 0.20, respectively, and those of the Visual Analogue Scale scores were 69.25 ± 0.63 and 75 ± 30, respectively. The mean scores for health-related quality of life were significantly higher for employed, educated, single, and male patients, as well as patients without comorbidities, diabetes-related complications, and hemoglobin A1c level >7%. Adjusted limited dependent variable mixture model showed that gender, age, marital status, and diabetes-related complications are significant independent predictors of EuroQoL-five-dimension-5 level index value.

Conclusion:

The mean scores for health-related quality of life in patients with type 2 diabetes mellitus were moderate in this study, and this finding is consistent with health-related quality-of-life scores reported in other studies conducted in the Middle East region. Therefore, health-related quality of life should be the most important consideration in the management of patients. In parallel, some factors, especially gender, should be considered to improve health-related quality of life.

Synergistic Effect of Low Neutrophil-Lymphocyte Ratio With Physical Activity on Quality of Life in Type 2 Diabetes Mellitus: A Community-Based Study

BACKGROUND

Physical inactivity and Type 2 diabetes mellitus (T2DM)-associated inflammatory biomarkers are correlated with poor quality of life (QoL). However, no study has investigated the synergistic effect of physical activity (PA) and lower neutrophil-lymphocyte ratio (NLR) on QoL.

OBJECTIVE

We examined the independent and synergistic effects of PA and inflammatory biomarkers on three domains of QoL in T2DM.

METHODS

This cross-sectional study included 294 patients with T2DM from community clinics in Indonesia. The 36-item Short Form Survey and a questionnaire about PA engagement were used to measure QoL and metabolic equivalent of task (MET)-hr/week, respectively. Inflammatory biomarkers were measured in fasting blood. Adjusted coefficients β and 95% confidence interval (CI) were estimated using multiple linear regression. The synergistic effect was analyzed using additive interaction for linear regression.

RESULTS

Patients with PA ≥ 7.5 MET-hr/week exhibited significantly higher total QoL (β = 8.41, 95% CI = [6.04, 10.78]) and physical component score (PCS; β = 13.90, 95% CI = [10.52, 17.29]) than those with PA < 7.5 MET-hr/week. Patients with NLR < 1.940 had significantly higher total QoL (β = 4.76, 95% CI = [3.41, 6.11]), mental component score (MCS; β = 2.62, 95% CI = [0.75, 4.49]), and PCS (β = 6.89, 95% CI = [4.97, 8.82]) than patients with NLR ≥ 1.940. PA ≥ 7.5 MET-hr/week and NLR < 1.940 exhibited a synergistic effect on total QoL, MCS, and PCS.

CONCLUSIONS

High PA level and low NLR had a positive synergistic effect on QoL among patients with T2DM.

Measurement of health-related quality of life in patients with diabetes mellitus using EQ-5D-5L in Hong Kong, China

Purpose

This study aimed to estimate the health preference scores of the Chinese population with Diabetes Mellitus (DM) using the EQ-5D-5L Hong Kong (HK) population tariff according to different sociodemographic characteristics in HK.

Methods

Data were obtained from a cross-sectional, territory-wide study of patient experience on specialist outpatient services in a public setting in HK. The EQ-5D-5L HK was used to collect the patients’ health status. A total of 2326 respondents were reported to suffer from DM, and their information was elicited and used for the analysis in this study. A robust ANOVA method was used to compare the differences in EQ-5D-5L index scores among subgroups. Binary logistic regressions were used to predict the probability of respondents reporting full health, and ordinal least square (OLS) model was used to assess the relationship between DM and health-related quality of life (HRQoL).

Results

The mean EQ-5D-5L index score for DM patients was 0.84. A total of 229 EQ-5D health states were reported. Altogether, 47.5% of the respondents reported having some problems with pain/discomfort, followed by mobility (26.4%), usual activities (26.0%), and anxiety/depression (23.5%). Logistic regression and OLS models indicated that male and fully employed respondents were less likely to report having problems with any of the five dimensions and index score of EQ-5D than female and non-fully employed respondents. The findings of OLS model also showed that DM patients that experience comorbidity with three and more chronic conditions were more likely to show a lower index score than respondents who reported living with DM alone.

Conclusion

The EQ-5D index scores varied among DM patient characteristics and were more highly impaired with multimorbidity status. Interventions targeting at-risk subgroups, such as modifying single-diseased guidelines, might be helpful to improve their HRQoL.

Electronic supplementary material

The online version of this article (10.1007/s11136-020-02462-0) contains supplementary material, which is available to authorized users.