Health-related Quality Of Life In Type Research Articles

Effect of short-term glycemic control and physical activity on health-related quality of life among type 2 diabetes receiving care in a tertiary health facility in Ogun State, Nigeria: a cross-sectional study

there are myriad of factors that influence health-related quality of life (HRQoL) which relationships remain unclear. Some of the factors include glycemic control and physical activity. This study determined the relationship between glycemic control, physical activity, and HRQoL among people living with type 2 diabetes. data from a cross-section of persons living with type 2 diabetes included information about their most recent fasting blood glucose (FBG), physical activity (PA), and HRQoL. The PA and HRQoL were assessed with long-form international physical activity and short-form-36 questionnaires, respectively while FBG was gleaned from patients´ records. Data were subjected to statistical analysis at p<0.05 regarded as significant. a total of 119 participated in the study with mean age of 61.8±11.8 years and mostly women, 60.5% (n=72). About 68.9% (n=82) were physically active, 84.0% (n=100) had poor short-term glycemic control (median blood glucose 134, IQR (108-187) mm/dl). There was a positive correlation between participants´ PA and physical health (r= 0.425, p=0.001), mental health (r= 0.334, p= 0.001) and overall HRQoL (r= 0.403, p= 0.001) but not with FBG (r= 0.044, p= 0.641). However, their FBG correlated with the mental health domain of the HRQoL (r= -0.213, p= 0.021). The physically active had better overall HRQoL (62.53±19.10 vs 50.28±23.10, p = 0.001) than the physically inactive which effect persisted when stratified for glucose control (68.16±19.19 vs 47.62±21.52, p = 0.001). There was however no influence of glycemic control on the relationship between PA and HRQoL [b = 0.000, 95% CI (0.000, 0.000), t = 0.153, P = 0.88] meaning that the relationship is not moderated by glycemic control. physical activity is beneficial for improved HRQoL in type 2 diabetes irrespective of glycemic control. This calls for increasing the level of awareness and education of type 2 diabetics aimed at improving their physical activity levels and their quality of life.

Impact of socio-demographic characteristics and long-term complications on quality of life in patients with diabetes mellitus.

Diabetes mellitus (DM) has been one of the leading chronic diseases worldwide over past decades. The objective of the study was to identify predictors associated with health-related quality of life (HRQOL) in diabetic patients. A cross-sectional questionnaire-based study was conducted at the General Hospital of the city of Leskovac, between June and November 2015. The Short Form-36 (SF-36) questionnaire, EuroQol-5D (EQ-5D) and EuroQol-VAS (EQ-VAS) questionnaires were used. Univariate and multivariate linear regression analyses were performed. The total number of patients was 285, 112 men (39.3%) and 173 women (60.7%), average age 63.92 ± 1.07 years. The results of multiple linear regression of socio-demographic characteristics in relation to dimensions of the quality of life measured by SF-36 and EQ-VAS showed that age, country (rural) life, low level of education, retirement, and poor economic status are predictors of lower quality of life. Our results showed that employment has a significant association with higher Physical Component Score (PCS), Mental Component Score (MCS) and EQ-VAS score, which can be explained with higher incomes, improved economic status and less possibility for the occurrence of depressive mood. Patients without formal education have lower QOL. Univariate multiple regression analysis of the presence of micro- and macrovascular complications of DM showed that angina pectoris, heart failure, diabetic retinopathy, and diabetic nephropathy are the most important factors affecting the quality of life in our population. After including the multivariate model, all tested complications remained statistically significant. Our results showed that both socioeconomic and chronic complications are relevant factors of HRQOL in type 1 and 2 diabetes mellitus patients. Age, rural lifestyle, retirement, lower level of education and low socioeconomic status, as well as DM complications (angina pectoris, hearth failure, diabetes nephropathy, and diabetes retinopathy) were found to be independent risk factors for the component scores of SF-36 and EQ-VAS score. Taking into consideration the results obtained, health practitioners should be aware not only of the clinical parameters of patients with DM, but also of their educational level and working status.

Effect of Lifestyle Intervention on Medical Treatment Cost and Health-Related Quality of Life in Type 2 Diabetes Mellitus Patients

Diabetes is a costly, lifestyle disorder which increases the burden of disease and deteriorates the Health-Related Quality of Life (HRQOL) of diabetes patients and this study was conducted to assess the effect of lifestyle intervention on medical treatment cost and HRQOL in type 2 diabetes mellitus (T2DM) patients. This quasi-experimental prospective study was conducted in Delhi Diabetes Research Center, New Delhi and included 224 T2DM patients. Patients were divided into LMC and usual care group on the basis of receiving or not receiving lifestyle modification counseling. The follow-up of both groups was done at 6th and 12th months. Collected data were analyzed through IBM, SPSS software v 21 for mean, median (min-max), SD, t-test and Wilcoxon scores (rank sums) test. The results of this study showed a statistically significant reduction in diabetes medication costs, hospitalization and surgery costs in the LMC group as compared to the usual care group. The significant improvement was also observed in HRQOL domains which includes - physical functioning (62.40±6.738 to 83.67 ± 5.4920), physical health (35.30±22.069 to 64.50±13.62), emotional problem (37.90±28.93 to71.46±16.75), energy (54.31±11.858 to 80.75 ± 15.52), emotional well-being (63.06± 9.828 to 85.79±6.36), social functioning (38.848±20.805 to 65.54±8.39) and general health (54.51±11.679 to 82.398± 11.7) at 12th month follow up in LMC group. The ADS score also showed significant improvement in overall HRQOL of LMC group. This study concludes that lifestyle intervention may improve HRQOL and reduce medical treatment cost of T2DM patients.

HEALTH-RELATED QUALITY OF LIFE IN POORLY CONTROLLED TYPE 2 DIABETES PATIENTS - ASSOCIATION OF PATIENTS’ CHARACTERISTICS WITH EQ-5D DOMAINS, MEAN EQ-5D SCORES, AND VISAUL ANALOG SCALE SCORE

Objective: High prevalence of diabetes mellitus in Malaysia demands the appropriate interventions to alleviate or postpone its burden on patients’ health-related quality of life (HRQoL). The studies which provide useful knowledge about the components of such interventions are important. The aim of this study was to describe how demographic and clinical characteristics of diabetes patients influence their HRQoL using EQ-5D.Methods: This study used the baseline data of a randomized controlled study carried out to examine the impact of a pharmacist intervention on poorly controlled diabetes patients. A generic HRQoL tool EQ-5D was used to report the data. Logistic regression was used to identify the predictors of problems in individual EQ-5D domains, and ANCOVA was undertaken to examine the effect of patients’ characteristic on EQ-5D mean scores and visual analog scale (VAS) mean scores.Results: Pain discomfort was reported to be significantly predicted by high HbA1c levels. Increasing age (OR =1.04; CI 1.01, 1.16) and increasing body mass index (OR = 1.15; CI 1.01, 1.30) were significant predictors of reduced mobility. The presence of complications (OR = 8.03; CI 1.34–48.02) and (5–10 years) diabetes duration predicted the reduced score in anxiety domain (OR = 7.05; CI 1.03, 48.04). Problems in usual activities were significantly predicted by age (OR = 1.4; CI 1.01, 1.18). Self-care was not affected by any of the model covariates. Mean EQ-5D score was (0.89; CI 0.85, 0.92) significantly predicted by HbA1c values (p=0.04). Mean VAS score (70.54) was significantly lower in the group receiving insulin (69.46; CI 73.74, 84.02) than the oral diabetes medication (78.88; CI 64.94, 73.98) (p=0.009).Conclusion: Patients’ characteristics were significantly associated with the HRQoL in type 2 diabetes. There was a significant and inverse association of HRQoL with medication group (insulin use), high HbA1c, obesity, and presence of complications.

HEALTH-RELATED QUALITY OF LIFE IN POORLY CONTROLLED TYPE 2 DIABETES PATIENTS - ASSOCIATION OF PATIENTS’ CHARACTERISTICS WITH EQ-5D DOMAINS, MEAN EQ-5D SCORES, AND VISAUL ANALOG SCALE SCORE

Objective: High prevalence of diabetes mellitus in Malaysia demands the appropriate interventions to alleviate or postpone its burden on patients’ health-related quality of life (HRQoL). The studies which provide useful knowledge about the components of such interventions are important. The aim of this study was to describe how demographic and clinical characteristics of diabetes patients influence their HRQoL using EQ-5D.Methods: This study used the baseline data of a randomized controlled study carried out to examine the impact of a pharmacist intervention on poorly controlled diabetes patients. A generic HRQoL tool EQ-5D was used to report the data. Logistic regression was used to identify the predictors of problems in individual EQ-5D domains, and ANCOVA was undertaken to examine the effect of patients’ characteristic on EQ-5D mean scores and visual analog scale (VAS) mean scores.Results: Pain discomfort was reported to be significantly predicted by high HbA1c levels. Increasing age (OR =1.04; CI 1.01, 1.16) and increasing body mass index (OR = 1.15; CI 1.01, 1.30) were significant predictors of reduced mobility. The presence of complications (OR = 8.03; CI 1.34–48.02) and (5–10 years) diabetes duration predicted the reduced score in anxiety domain (OR = 7.05; CI 1.03, 48.04). Problems in usual activities were significantly predicted by age (OR = 1.4; CI 1.01, 1.18). Self-care was not affected by any of the model covariates. Mean EQ-5D score was (0.89; CI 0.85, 0.92) significantly predicted by HbA1c values (p=0.04). Mean VAS score (70.54) was significantly lower in the group receiving insulin (69.46; CI 73.74, 84.02) than the oral diabetes medication (78.88; CI 64.94, 73.98) (p=0.009).Conclusion: Patients’ characteristics were significantly associated with the HRQoL in type 2 diabetes. There was a significant and inverse association of HRQoL with medication group (insulin use), high HbA1c, obesity, and presence of complications.

ViDa1: The Development and Validation of a New Questionnaire for Measuring Health-Related Quality of Life in Patients with Type 1 Diabetes.

This study describes the development of a new questionnaire to measure health-related quality of life (HRQoL) in patients with type 1 diabetes (the ViDa1 questionnaire) and provides information on its psychometric properties. For its development, open interviews with patients took place and topics relevant to patients' HRQoL were identified and items were generated. Qualitative analysis of items, expert review, and refinement of the questionnaire followed. A pilot study (N = 150) was conducted to explore the underlying structure of the 40-item ViDa1 questionnaire. A Principal Component Analysis (PCA) was performed and six of the items that did not load on any of the factors were eliminated. The results supported a four-dimensional structure for ViDa1, the dimensions being Interference of diabetes in everyday life, Self-care, Well-being, and Worry about the disease. Subsequently, the PCA was repeated in a larger sample (N = 578) with the reduced 34-item version of the questionnaire, and a Confirmatory Factor Analysis (CFA) was performed (N = 428). Overall fit indices obtained presented adequate values which supported the four-factor model initially proposed [( 2601.93) (p < 0.001); Root Mean Square Error of Approximation = 0.060 (CI = 0.056 −0.064)]. As regards reliability, the four dimensions of the ViDa1 demonstrated good internal consistency, with Cronbach's alphas ranging between 0.71 and 0.86. Evidence of convergent-discriminant validity in the form of high correlations with another specific HRQoL questionnaire for diabetes and low correlations with other constructs such as self-efficacy, anxiety, and depression were presented. The ViDa1 also discriminated between different aspects of clinical interest such as type of insulin treatment, presence of chronic complications, and glycemic control, temporal stability, and sensitivity to change after an intervention. In conclusion, the ViDa1 questionnaire presents adequate psychometric properties and may represent a good alternative for the evaluation of HRQoL in type 1 diabetes.

Comparison of health-related quality of life between type 2 diabetic patients with and without locomotive syndrome.

The aim of this study was to compare health-related quality of life (HRQOL) between type 2 diabetic patients with and without locomotive syndrome, which is a risk for becoming bedridden because of deteriorating locomotive organs. A total of 135 patients with type 2 diabetes mellitus (69.2±10.2years) were enrolled in this cross-sectional study. HRQOL was evaluated by the Euro-QOL-5 (EQ-5D), and locomotive syndrome was evaluated by "loco-check," established the Japanese Orthopedic Association. Clinical data, such as anthropometric parameters, blood and urine examination results, blood pressure (BP), drug usage, and psychological distress, were analyzed. Average HbA1c in all patients was 7.2±1.0%, and 74 patients (54.8%) were identified as having the locomotive syndrome. EQ-5D scores were significantly lower in type 2 diabetic patients with locomotive syndrome than in those without locomotive syndrome, even after adjusting for age, sex, body mass index (BMI), and HbA1c. By the multiple regression analysis, locomotive syndrome and age were identified as determinant factors of HRQOL in type 2 diabetic patients. In type 2 diabetic patients, lower HRQOL was a characteristic feature of subjects with locomotive syndrome, even after adjusting for confounding factors. Prevention or management of locomotive syndrome may be beneficial for improving HRQOL in type 2 diabetic patients.

Can metabolic control variables of diabetic patients predict their quality of life?

The type and the complexity of regimen aimed at achieving better glycemic control may impact patient's health-related quality of life (HRQoL) in diabetic patients. But, the relationship between HbA1c levels of diabetic patients and their HRQoL is not clear. Our study aims to determine whether metabolic control variables can predict HRQoL or not and also the impact of hypertension (HT) on HRQoL in type II diabetic patients. A total of 469 patients with type II diabetes and 134 control subjects were studied. Medical Outcomes Study Short-Form-General Health Survey (SF-36) questionnaire was used as a health survey tool to measure the QoL of patients in the study. SF-36 includes 8 individual subscales and two summary scales (physical component summary [PCS] and mental component summary [MCS]). Age, gender, fasting blood glucose, postprandial blood glucose, HbA1c, high-density lipoprotein–cholesterol (HDL-C), low-density lipoprotein–cholesterol (LDL-C), triglyceride, total cholesterol, Apolipoprotein B (apoB), non–HDL-C, and body mass index values of the subjects were recorded. For statistical evaluation, SPSS (Statistical Package for the Social Sciences) 15 under Windows 7 was used. MCS values of patients group were statistically lower than control group (P < .05). There was no significant difference in PCS values between groups (P > .05). Diabetic patients with HT had significantly lower PCS and MCS values than those without HT. In addition, there was a negative correlation between HbA1c level and PCS and MCS values (P < .05). Hypertensive diabetic patients had significantly higher fasting blood glucose, postprandial blood glucose, HbA1c, HDL-C, LDL-C, total cholesterol, and body mass index values than hypertensive control subjects (P < .05). Normotensive diabetic patients also had significantly lower PCS value than normotensive control subjects (P < .05). But, MCS value was not different between groups (P > .05). PCS values in diabetic male patients were significantly higher than in diabetic female patients (P < .05). MCS value did not differ by gender in diabetic patients (P > .05). In our study, it is clear that diabetes affected the patients' HRQoL. In addition, we showed negative correlations between HbA1c levels and PCS and MCS values. There was a significant difference in PCS scores between genders in patients with diabetes. But, there was no significant difference in PCS and MCS values by age in diabetic patients. And having concomitant HT in diabetic patients causes a decrease in both MCS and PCS scores. Thus, HT is an important factor that should be considered in QoL of the diabetic patients.

Assessment of health-related quality of life of Bangladeshi patients with type 2 diabetes using the EQ-5D: a cross-sectional study.

BackgroundThe management of diabetes requires a fundamental change in the lifestyle of patients, and one of the important outcome criteria is the quality of life. We assessed the health-related quality of life (HR-QoL) and examined the factors associated with it in type 2 diabetes.MethodsAn analytical cross-sectional study was conducted among 500 type 2 diabetes patients (age >25 years and duration of diabetes >1 year). They were selected conveniently from the Out-Patient department of the Bangladesh Institute of Health Sciences Hospital. The HR-QoL was assessed using an adapted and validated Bangla version of the EQ-5D (© 1990 EuroQol Group. EQ-5D™) questionnaire. It has five domains: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression and two levels (problem and no problem) on each dimension. The responses to the EQ-5D were further translated into a single summary EQ-5D index using the UK TTO value set.ResultsOf the patients, 50.2 % were female, and 49.4 % were aged >55 years. Only 28.4 % had completed higher secondary education, and 50.8 % were from lower-middle-income families. Around 78.8 % either had overweight or were obese. About 50.4 % had problems in mobility, 28.2 % in self-care, 47.6 % in usual activities, 72.8 % in pain/discomfort, and 73.6 % in anxiety/depression. Results of binary logistic regression analysis showed that age, gender, lower-middle income, and HbA1C were significantly (p < 0.05) associated with mobility. Self-care was significantly (p < 0.05) related to age, family history and duration of diabetes mellitus (DM). Gender, family history of DM, and lower-middle income had a significant (p < 0.05) association with usual activities. Pain was significantly (p < 0.05) associated with age, lower-middle income, and upper-middle income. Rural area, higher education, and HbA1C were significantly (p < 0.05) related to anxiety. Results of multiple linear regression analysis showed that age (p = 0.0001), female gender (p = 0.0001), and prescribed treatment (p = 0.048) were associated with the EQ-5D index.ConclusionsThe large majority (73 %) of the patients had problems in pain/discomfort and anxiety/depression; 50 % had problems in mobility and usual activities; and three in ten in self-care. Age, female gender, income, education, family history and duration of DM, and prescribed treatment are important factors that are associated with the HR-QoL in type 2 diabetes.

Insulin glargine improves glycemic control and health-related quality of life in type 1 diabetes

Background and aims Glargine improves glucose control and reduces the risk of nocturnal hypoglycemia compared with neutral protamine Hagedorn (NPH) insulin. To date, only one study has measured the effects of glargine on health-related quality of life (HRQL); the aim of this study was therefore to confirm the beneficial effects of glargine on disease-specific HRQL in type 1 diabetes. Methods and results Forty-seven patients (mean age, 46 range, 25–74; males, 54%) with diabetes of at least 1-year duration, and with suboptimal glucose control under intensive insulin treatment (IIT), were switched from NPH to glargine. Forty patients maintained on IIT were used as controls. Diabetes-related HRQL was assessed using the Well-being Enquiry for Diabetics (WED), before and after a 6- to 8-month switch to glargine. An 11-item questionnaire based upon diabetes-specific issues was used to assess treatment satisfaction and perceived changes after switching. On glargine, the mean glycosylated hemoglobin decreased by 0.7% (treatment vs. baseline, P < 0.0001) and several WED scores improved (discomfort, P = 0.020; impact, P = 0.0002; total score, P = 0.0005). WED changes were associated with a lower perceived risk of hypoglycemia and less problems in daily life on glargine. Conclusions The results of this study show that the beneficial effect of glargine is not limited to better metabolic control; the burden of type 1 diabetes mellitus on everyday life is also reduced.