Quality Of Life In Type Research Articles

Predictive factors for health-related quality of life in type 2 diabetes patients

Predictive factors for health-related quality of life in type 2 diabetes patients

Impact of Concurrent Exercise Training on Cardiac Autonomic Modulation, Metabolic Profile, Body Composition, Cardiorespiratory Fitness, and Quality of Life in Type 2 Diabetes with Cardiac Autonomic Neuropathy: A Randomized Controlled Trial.

Background: Type 2 diabetes mellitus (T2DM) often leads to cardiac autonomic neuropathy (CAN), a severe complication affecting cardiovascular health. Exercise training is a proven intervention for improving metabolic control and cardiovascular health in T2DM, but the effects of concurrent exercise training (CET), combining aerobic and resistance exercises, on CAN are not fully understood. Objective: This randomized controlled trial investigates the impact of a structured CET program on cardiac autonomic modulation, metabolic profile, body composition, cardiorespiratory fitness (CRF), and quality of life (QoL) in individuals with T2DM and CAN. Methods: A total of 96 participants, aged 35-70 years, with T2DM and CAN, were randomized into CET (n = 48) and control (n = 48) groups. The CET group engaged in combined aerobic and resistance training three times per week for 13 weeks, while the control group received standard care. Primary outcomes included heart rate variability (HRV) and heart rate recovery (HRR). Secondary outcomes were metabolic profile, body composition, CRF, and QoL, which were assessed using standardized protocols and validated questionnaires. The trial was registered with the Clinical Trials Registry-India (CTRI/2021/09/036711). Results: Significant improvements were noted in the CET group compared to controls. HRV metrics (SDNN, RMSSD, pNN50, TP, LF power, HF power, and LF/HF ratio) and HRR metrics (HRR30s, HRR1, HRR2, and HRR3) all showed significant enhancements (p < 0.01). The CET group also exhibited substantial reductions in fasting blood glucose, postprandial blood glucose, HbA1c, waist circumference, hip circumference, and percentage body fat (p < 0.01). Improvements were observed in lipid profile markers and CRF (VO2max) (p < 0.01). QoL scores improved significantly in the CET group as per the ADDQoL-19 (p < 0.01). Conclusions: CET significantly enhances cardiac autonomic modulation, metabolic profile, body composition, CRF, and QoL in individuals with T2DM and CAN. These findings support the integration of CET into standard T2DM management to improve clinical outcomes and QoL. Further research is needed to explore the long-term benefits and broader applicability of CET in diverse diabetic populations.

Exploring Determinants of Health-Related Quality of Life in Emerging Adults with Type 1 Diabetes Mellitus: A Cross-Sectional Analysis.

(1) Background: Emerging adulthood, from the age of 18 to 29 years, is a crucial phase for individuals with Type 1 Diabetes Mellitus, as it affects their Health-Related Quality of Life. (2) Methods: This cross-sectional study analyzes the influence of the Mediterranean diet, Diabetes duration, Hemoglobin A1c, and sleep disorders on Health-Relate Quality of Life in Type 1 Diabetes Mellitus. In this study, conducted in Andalusia, Spain, 362 emerging adults with Type 1 Diabetes Mellitus completed the Oviedo Sleep Questionnaire, the Adaptation of Mediterranean Diet Adherence Screener, and the Vida con Diabetes Tipo 1 (ViDa1) Health-Related Quality of Life questionnaire between October 2021 and July 2022. Pearson correlation coefficients and a multiple regression analysis were conducted for each Health-Related Quality of Life in Type 1 Diabetes Mellitus dimension (Interference with Life, Well-being, Self-care, and Concern about the Condition) for overall sample and separately for males and females. (3) Results: Different and significant correlations are found among factors such as Age, Body Mass Index, Currently being a student, Hemoglobin A1c, Sleep satisfaction, Insomnia, Hypersomnolence, and Adherence to Mediterranean diet. Notably, Insomnia is a main predictor for Interference with Life, Well-being, and Concern about the Condition, especially for females. (4) Conclusions: Insomnia is the main predictor of Health-Related Quality of Life in Type 1 Diabetes Mellitus among Andalusian emerging adults with this condition. Consequently, a regular assessment of sleep and Health-Related Quality of Life from a gender perspective in this age group is crucial.

PCR60 Assessment of Quality of Life in Type II Diabetic Patients

PCR60 Assessment of Quality of Life in Type II Diabetic Patients

Effectiveness of structured exercise program on insulin resistance and quality of life in type 2 diabetes mellitus-A randomized controlled trial.

Impaired glucose control & Insulin resistance are reported to be risk factors for the development of cardiovascular diseases. To find the effects of a structured exercise program on insulin resistance, glycaemic control, functional capacity, and quality of life in patients with Type 2 diabetes mellitus. Randomized, controlled trial. Diabetic Foot Clinic, Department of Physiotherapy & Department of General Medicine, Kasturba Hospital in Manipal, Karnataka, India. 160 participants aged between 30-65 years with Type 2 diabetes mellitus. A set of structured exercise programs (aerobic, resistance, and combined) along with the standard hospital care was performed 3-5 times weekly for 12 weeks. Fasting Insulin Level, Homa-IR, Six-minute walk test (6MWT), and WHOQOL-BREF questionnaire at baseline and 12th week. Body composition analysis, Fasting Blood Sugar, Postprandial Blood Sugar, Glycated Haemoglobin (HbA1c), and GPAQ questionnaire at baseline and 12th week. Significant differences have been observed in Homeostasis model assessment for insulin resistance (Homa-IR) (F (1, 144) = 89.29, p < 0.001); Fasting insulin (FI) (F (1, 144) = 129.10, p < 0.001); Fasting blood sugar (FBS) (F (1, 144) = 12.193, p< 0.001); Post prandial blood sugar (PPBS) (F (1, 144) = 53.015, p< 0.001); glycated haemoglobin (HbA1c) (F (1, 144) = 80.050, p < 0.001); WHOQOL-Physical health (F (1, 144) = 20.008, p< 0.001), Psychological (F (1, 144) = 77.984, p< 0.001), Social relationship (F (1, 144) = 44.866, p< 0.001); Environmental (F (1, 144) = 69.974, p< 0.001); Six minute walk test (6MWT) (F (1, 144) = 84.135, p< 0.001) in the study group when compared with the control group from baseline to 12th week. The study reveals that a 12-week structured exercise training program effectively reduces insulin resistance, improves quality of life, enhances functional capacity, and improves glycaemic control in type 2 diabetes mellitus.

Relationship between Serum p-Tau Levels and Impaired Cognitive Function in Type 2 Diabetes Mellitus

Background: Type 2 diabetes mellitus (Type 2 DM) is a metabolic disease that causes a global crisis that threatens health and the world economy. Impaired cognitive function is a key factor in reducing health-related quality of life in type 2 DM patients. Phosphorylated Tau (p-Tau) is a microtubule protein that functions in cell signaling, synaptic plasticity, and regulation of genome stability. A malfunction of p-Tau will cause disruption of cell signaling, which can result in impaired cognitive function. This study aims to assess the relationship between serum p-Tau levels and impaired cognitive function in type 2 diabetes mellitus patients. Methods: This research is an observational study, comparative analysis with a cross-sectional design with a sample of 60 type 2 diabetes mellitus patients who sought treatment at the endocrine polyclinic at Dr. M. Djamil General Hospital Padang. Cognitive function was assessed using MoCa-Ina. Serum p-Tau levels were measured using the ELISA method. Data analysis was carried out using SPSS. Results: The average serum p-Tau level in type 2 diabetes mellitus patients with impaired cognitive function was 542.9 pg/ml. The cut-off point for serum p-Tau levels which is associated with impaired cognitive function in type 2 diabetes mellitus patients is 517.2 pg/ml. There was a significant relationship between serum p-Tau levels and impaired cognitive function in type 2 diabetes mellitus patients (p=0.039). Conclusion: There is a significant relationship between serum p-Tau levels and impaired cognitive function in type 2 diabetes mellitus patients.

Efficacy of comprehensive structured exercise program on claudication pain and quality of life in type 2 diabetes mellitus with peripheral arterial disease.

Peripheral arterial disease is one of the leading complications of type 2 diabetes mellitus. The primary symptom of peripheral arterial disease is claudication pain. Exercise is known to improve the claudication pain, thereby improving the quality of life. A total of 74 participants were recruited in each group and a detailed demographic assessment was done for all the participants. The study group received a comprehensive structured exercise program and standard care whereas the control group received only the standard care. Progression of the exercise was made at the 6th week of the protocol. All the outcome measures were reassessed after the 12th weeks for both study and control group. The mean age of participants was 60.78 ± 11.29 (years) and 59.98 ± 11.42 (years) for the study and control group, respectively. There was a statistically significant difference in toe brachial index (p < 0.001), ankle brachial index (p < 0.001), 6-minute walk distance (p < 0.001), WHO-BREF quality of life questionnaire (p < 0.001), and walking ability ((p < 0.001) in the study group in comparison to the control group. In the present study we found that comprehensive structured exercise program improves the arterial indices, quality of life, walking ability and reduces claudication pain in type 2 diabetes mellitus with peripheral arterial disease. The online version contains supplementary material available at 10.1007/s40200-024-01426-2.

Quality of Life in Type 1 Diabetes Children with Other Autoimmune Diseases

Abstract The aim of this study was to evaluate and compare the quality of life and glycaemic control in children with type 1 diabetes (T1D) and associated autoimmune diseases with T1D only, using the Pediatric Quality of Life Inventory Generic Core Scale. The study examined differences in health-related quality of life assessments and glycaemic control between children with T1D and associated autoimmune diseases and T1D only. In total, 94 children, aged 2 to 17 years, and their parents participated in the study. The results of the study showed a statistically significantly lower total score of general well-being for children with T1D and associated autoimmune disease (p = 0.016). Children with T1D and associated autoimmune disease reported a lower physical function score (p = 0.034) and lower emotional function score (p = 0.038). Social and school function scores did not differ in those with and without T1D associated autoimmune disease. There were no statistically significant differences in haemoglobin A1c between children with T1D and autoimmune disease and T1D only.

Health Related Quality of Life in Type 2 Diabetic Patients at Levy Mwanawasa University Teaching Hospital, Lusaka, Zambia

Introduction: The research was conducted to evaluate the health-related quality of life in individuals diagnosed with type 2 diabetes mellitus at Levy Mwanawasa University Teaching Hospital, located in Lusaka, Zambia. Diabetes mellitus has become a serious global public health concern with huge impact on human life and health expenditures (Khan et al., 2020). With many people affected, diabetes mellitus has an impact on individual’s functional capacities and quality of life, which leads to significant morbidity and mortality (Rantahal et al., 2015). Methodology: The research employed an analytical cross-sectional research design to assess the health-related quality of life in patients with type 2 diabetes at Levy Mwanawasa University Teaching Hospital (LMUTH) in Lusaka, Zambia. It involved a comprehensive review of current knowledge and the gathering of primary sources to build a theoretical model based on existing evidence. The study sample consisted of 134 respondents, and data were collected using structured interview schedules. Simple random sampling method was used to select the study respondents, and a sampling frame was employed every day and randomly sampled some respondents. To assess and identify factors associated with health related quality of life in type 2 diabetes mellitus patients, Chi-square and multivariate logistic regression analyses were employed through SPSS version 23. The Odds Ratio with a 95% confidence interval was computed to determine the level of association. The variables with p-value less than 5%, in the multivariate analysis were considered as statistically associated, association between covariates and Health Related Quality of Life. Results: The findings revealed that a significant portion, 43.3%, of type 2 diabetes mellitus patients at LMUTH reported a low quality of life. This low quality of life was found to be associated with various socio-demographic factors. Specifically, individuals who were not employed, lacked regular .....

The Self-Management-Based care interventions on quality of life in type 2 Diabetes Mellitus patients: An integrative review

Type 2 Diabetes Mellitus (T2DM) is caused by the disruption of insulin secretion and resistance. One aspect that plays an important role in this disease is self-management education. Good self-care behavior facilitates controlled diabetes management and prevents complications as well as ensures a better life quality. It is necessary to review the up-to-date, evidence-based literature to understand the diabetes self-management based care interventions to improve the quality of life. A literature search was performed on Scopus, PubMed, ProQuest, and Science Direct to find articles published during 2017-2022. The search for the article used different combinations of keywords with Boolean operators, including “type 2 diabetes mellitus”, “diabetes self-management” and “quality of life”. Studies were selected based on inclusion criteria, with a focus on full test articles discussing self-management of diabetes, T2DM, and quality of life with research designs such as randomized controlled trials (RCT). Eight articles met the criteria and were used in the review. Based on the review, eight articles showed that self-management interventions provide significant effectiveness for quality of life and self-care for type 2 diabetes mellitus patients. Almost all the articles stated an increase in self-care behaviors and quality of life after receiving self-management interventions. Successful diabetes self-management depends on individual self-care activities to control symptoms presented. Furthermore, regular self-management activities prevent complications from arising. Therefore, patients’ compliance with diabetes self-management is needed to improve their life quality.

ASSOCIATION OF DIABETIC MACULAR EDEMA WITH QUALITY OF LIFE IN PATIENTS WITH TYPE 2 DIABETES: The Fushun Diabetic Retinopathy Cohort Study.

To report the vision-related quality of life in patients with diabetic macular edema (DME) in a population-based study. In this cross-sectional study, we analyzed 1,659 subjects with type 2 diabetes. Questionnaires were administered to assess the patient's vision-related quality of life. Diabetic macular edema severity was graded according to the established protocols. A subject's DME score ranged from 1 (no DME in either eye) to 7 (severe bilateral DME) using predefined criteria. Composite 25-item National Eye Institute Visual Function Questionnaire (NEI-VFQ-25) scores for participants with DME were 88.9 (interquartile range [IQR]: 76.2-94.9) compared with 92.0 (IQR: 82.7-96.0) for those without DME ( P < 0.001). Locally weighted scatterplot smoothing plots depicted a consistent decline in composite NEI-VFQ-25 scores corresponding to the escalation of bilateral DME severity: starting from 88.59 for no DME in either eye, progressing through 86.65, 85.83, 85.31, 84.91, 83.85, and culminating at 82.71 for bilateral severe DME. Notably, the locally weighted scatterplot smoothing plots highlighted significant NEI-VFQ-25 composite score reduction at unilateral mild DME (slope m = -1.94). Significant changes in vision-related quality of life manifest in the early stage of DME. Therefore, early identification and intervention for these patients are crucial clinical objectives.

Validation of the Chinese version of the diabetes health profile to predict the impact of mobile health education on quality of life in type 2 diabetes patients.

The Diabetes Health Profile (DHP18), initially created in the United Kingdom, currently lacks a Chinese version. This study endeavors to authenticate the Chinese adaptation of the DHP18 and assess the influence of mobile health (mHealth) education intervention on the quality of life of individuals living with diabetes. The study included 470 Type 2 diabetes Mellitus (T2DM) patients (204 men, 266 women), spanning an age range of 19-79 years, with an average age of 54 ± 12.40 years. Data analysis employed Jamovie and Mplus software. Moreover, test-retest reliability was evaluated in 52 hospitalized T2DM patients through two repeated measurements taken 4 weeks apart. The Chinese version DHP18 scale exhibited high reliability, evidenced by a Cronbach's alpha of 0.88, and coefficient of test-retest reliability of 0.84. Individual subscales also demonstrated strong reliability, ranging from 0.76 to 0.84, with test-retest reliability spanning from 0.71 to 0.74. Confirmatory Factor Analysis (CFA) employing a three-factor structure (χ2 = 294.69, GFI = 0.92, TLI = 0.91, RMSEA = 0.05, SRMR = 0.06) validated the scale's construct validity. Notably, there was a statistically significant difference (p < 0.05) in the quality of life between Type 2 diabetes patients using mHealth education intervention and those without mHealth education intervention. Mediation analysis revealed that Appraisal of Diabetes (ADS) and Self-Management Efficacy (SED) mediated the effects of Psychological Distress (PD) and Behavior Adherence (BA) on quality of life, both significant direct and indirect effects (p < 0.001). In addition, Dietary Abstinence (DE) displayed significant overall impact (β = -0.13, p < 0.001) and indirect influence (β = -0.10, p < 0.01) on diabetic patients' quality of life, though lacking a significant direct effect (β = -0.03, p = 0.38). The Chinese version of the Diabetes Health Profile Scale meets stringent psychometric standards and stands as an appropriate measurement tool for Chinese T2DM patients, maintaining comparable results to the original scale's structure. The mHealth education intervention yielded a notably positive impact on the quality of life among T2DM patients. Mediation analysis revealed that the three dimensions of the DHP were mediated by Appraisal of Diabetes and Diabetes Self-Management Efficacy, partially mediated by Psychological Distress and Behavior Adherence, and fully mediated by Dietary Abstinence, providing insight into the positive effects of the mHealth model on the quality of life of diabetic patients.

Health-Related Quality of Life Among Type 2 Diabetes Mellitus Patients Using the 36-Item Short Form Health Survey (SF-36) in Central Ethiopia: A Multicenter Study.

Diabetes, one of the major global health emergencies of the 21st century, can affect a patient's quality of life. A compromised quality of life has adverse effects on self-care practices, resulting in inadequate glycemic control and an increased susceptibility to complications. In Ethiopia, there is a paucity of information regarding the quality of life of patients with type 2 diabetes mellitus. Therefore, this study aimed to assess health-related quality of life in type 2 diabetes mellitus patients. A cross-sectional study was conducted among type 2 diabetes mellitus patients attending diabetes follow-up clinics in selected public hospitals in Addis Ababa using short form- 36 (SF-36) health survey measures. Descriptive statistics were used to summarize the characteristics of the study participants. Simple and multiple linear regressions were done to identify significantly associated factors with health-related quality of life. A total of 309 patients participated in this study. The mean scores of the physical and mental component summaries were 40.15 (SD = 7.27) and 48.11 (SD = 8.87), respectively. Being old, being overweight or obese, living with type 2 diabetes mellitus for more than fifteen years, taking combined medication, having diabetes-related complications, and having comorbidities were factors that reduced the mean score of the physical component summary (p-value<0.05). Being obese and diabetes related complication were factors that negatively affect mental component summary (p-value <0.05). On the other hand, being married was factors that positively affect mental component summary (p-value <0.05). Older age, being married, obesity, overweight, longer duration of diabetes, using combined medications, diabetic-related complications, and co-morbidities were factors associated with health-related quality of life. Healthcare providers should strengthen counseling patients on lifestyle modifications such as diet modifications, and weight reduction.

Assocations of sleep quality, urinary incontinence and quality of life in type 2 diabetic women

Assocations of sleep quality, urinary incontinence and quality of life in type 2 diabetic women

Role of diabetes health literacy, psychological status, self-care behaviors, and life satisfaction in predicting quality of life in type 2 diabetes

One of the factors that can affect the quality of life is the psychological status of people. Also, the psychological status of individuals can be affected by other variables. Therefore, this study was aimed to determine the role of diabetes health literacy, psychological status, self-care behaviors, and life satisfaction in predicting the quality of life in Iranian patients with type 2 diabetes. This cross-sectional study was conducted in Iran in 2021 among 300 patients with type 2 diabetes. The method of selecting the participants in this study was the proportional stratified sampling method. Data collection instruments included six questionnaires of demographic questionnaire and diabetes status, DASS-21 questionnaire (depression, anxiety, and stress), diabetes health literacy scale, self-care behavior questionnaire, satisfaction with life scale (SWLS), and quality of life questionnaire. Statistical methods such as independent sample t test, one-way analysis of variance, linear regression test, and Pearson correlation were used to analyze the data. Based on the results of Pearson correlation test, there was a positive and significant correlation between diabetes health literacy (r = 0.438, p < 0.001), depression (r = − 0.380, p < 0.001), anxiety (r = − 0.355, p < 0.001), stress (r = − 0.423, p < 0.001), and SWLS (r = 0.265, p < 0.001) with quality of life. Based on the results of linear regression, variables of diabetes health literacy, life satisfaction, self -care behaviors, depression, stress, anxiety, age of onset of diabetes and diabetes duration were able to predict 31% of the quality of life (p < 0.001). The results of this study indicated that diabetes health literacy, life satisfaction, stress and the duration of diabetes are able to predict the quality of life of patients with diabetes. Therefore, it is necessary to pay more attention to these effective variables training programs, especially health literacy, the effect of which is very obvious in this study.

Pharmaceutical care improves medication adherence and quality of life in type 2 diabetes mellitus

Pharmaceutical care improves medication adherence and quality of life in type 2 diabetes mellitus

Impact of structured patient education provided by clinical pharmacist on disease prognosis, adherence and quality of life in type 2 diabetes patients: an interventional study

Impact of structured patient education provided by clinical pharmacist on disease prognosis, adherence and quality of life in type 2 diabetes patients: an interventional study

BersaMaDia App for Improving Quality of Life in Type 2 Diabetes Mellitus Patients at Asri Medical Center Muhammadiyah Hospital Yogyakarta

BersaMaDia App for Improving Quality of Life in Type 2 Diabetes Mellitus Patients at Asri Medical Center Muhammadiyah Hospital Yogyakarta

Assessment of quality of life in type 2 diabetes mellitus patients

Background: In India, as the prevalence of diabetes mellitus (DM) is high, it is essential to determine the quality of life (QoL) and it is predictors among them to improve the effectiveness of treatment and also to minimize the burden of DM on our society. Aims and Objectives: The present study aimed to determine the impact of diabetes on QoL and to identify the association of sociodemographic factors that affect QoL. Materials and Methods: An observational cross-sectional study was conducted among type 2 DM patients. Quality of life was assessed by the World Health Organization BREF questionnaire. To compare the means of two groups, the Unpaired “T” test and for three or more groups, one-way analysis of variance was applied. P &lt; 0.05 was considered to be statistically significant. Results: Out of 120, 61 were males (50.8%) and 59 females (49.2%) and their mean age was 53.72 ± 13.71 years. Almost half of them were illiterates (48.3%). Hypertension was the most frequent comorbidity (52.5%). Most of the participants had diabetes for 6–10 years (35.8%). Maximum mean score was observed for negative feelings (4.183 ± 0.721) minimum mean score for positive feelings (2.525 ± 0.517). Overall, 43% of the study population rated their QoL as neither poor nor good and 52% felt that their health was neither satisfied nor dissatisfied. QoL score was maximum in the environmental health domain (26.40) and minimum in the social relationship domain (10.75). Among different variables, there was no significant difference observed for overall QoL and health satisfaction. Conclusion: The present study showed overall QoL was neither poor nor good, and they perceived their health as neither satisfied nor dissatisfied. As almost half of the participants were illiterates, it is essential to create awareness regarding diabetes treatment and management of comorbidities and complications by conducting health campaigns using simple, local language, performing street plays, and interactive workshops.

Sociodemographic and Clinical Determinants on Health-Related Quality of Life in Emerging Andalusian Adults with Type 1 Diabetes: A Cross-Sectional Study.

(1) Background: Having type 1 diabetes during emerging adulthood can impact quality of life due to the challenge of balancing optimal glycemic blood levels with a period of transition and exploration. The purpose of this study was to characterize the quality of life of emerging adults aged 18 to 29 years with type 1 diabetes and to determine the associations between dimensions of Health-Related Quality of Life in type 1 diabetes and sociodemographic and diabetes-related variables. (2) Methods: This cross-sectional descriptive study was conducted in Andalusia, Spain, from October 2021 to July 2022. A total of 362 emerging adults with type 1 diabetes (67.4% women, mean age 22.8 ± 3.4 years) participated. Data were gathered via sociodemographic information form and the ViDa1 scale. Statistical evaluations, encompassing descriptive analyses, t-tests, ANOVA, Pearson correlations, and logistic regression, were conducted using SPSSv26, adhering to STROBE guidelines. (3) Results: Among the participants, 52.1% have a glycosylated hemoglobin level over 7%. Interference with Life is correlated with sex, age, and age at diagnosis, with age being the only predictor. Self-Care is correlated with and predicted by glycosylated hemoglobin levels. Well-being is correlated with and predicted by sex, Body Mass Index, and glycosylated hemoglobin levels. Concern about the Condition is correlated with and predicted by sex and glycosylated hemoglobin levels. (4) Conclusions: Despite concerns about their disease, participants generally maintain optimal levels of Health-Related Quality of Life in type 1 diabetes. Predictive factors for Health-Related Quality of Life in type 1 diabetes in this group include sex, age, Body Mass Index, and glycosylated hemoglobin.