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Zou Q, Chen B, Zhang Y, Wu X, Wan Y, Chen C. Mixed-effects neural network modelling to predict longitudinal trends in fasting plasma glucose. BMC Med Res Methodol 2024; 24:313. [PMID: 39707252 PMCID: PMC11660730 DOI: 10.1186/s12874-024-02442-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Accepted: 12/12/2024] [Indexed: 12/23/2024] Open
Abstract
BACKGROUND Accurate fasting plasma glucose (FPG) trend prediction is important for management and treatment of patients with type 2 diabetes mellitus (T2DM), a globally prevalent chronic disease. (Generalised) linear mixed-effects (LME) models and machine learning (ML) are commonly used to analyse longitudinal data; however, the former is insufficient for dealing with complex, nonlinear data, whereas with the latter, random effects are ignored. The aim of this study was to develop LME, back propagation neural network (BPNN), and mixed-effects NN models that combine the 2 to predict FPG levels. METHODS Monitoring data from 779 patients with T2DM from a multicentre, prospective study from the shared platform Figshare repository were divided 80/20 into training/test sets. The first 10 important features were modelled via random forest (RF) screening. First, an LME model was built to model interindividual differences, analyse the factors affecting FPG levels, compare the AIC and BIC values to screen the optimal model, and predict FPG levels. Second, multiple BPNN models were constructed via different variable sets to screen the optimal BPNN. Finally, an LME/BPNN combined model, named LMENN, was constructed via stacking integration. A 10-fold cross-validation cycle was performed using the training set to build the model and evaluate its performance, and then the final model was evaluated on the test set. RESULTS The top 10 variables screened by RF were HOMA-β, HbA1c, HOMA-IR, urinary sugar, insulin, BMI, waist circumference, weight, age, and group. The best-fitting random-intercept mixed-effects (lm22) model showed that each patient's baseline glucose levels influenced subsequent glucose measurements, but the trend over time was consistent. The LMENN model combines the strengths of LME and BPNN and accounts for random effects. The RMSE of the LMENN model ranges were 0.447-0.471 (training set), 0.525-0.552 (validation set), and 0.511-0.565 (test set). It improves the prediction performance of the single LME and BPNN models and shows some advantages in predicting FPG levels. CONCLUSIONS The LMENN model built by integrating LME and BPNN has several potential applications in analysing longitudinal FPG monitoring data. This study provides new ideas and methods for further research in the field of blood glucose prediction.
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Affiliation(s)
- Qiong Zou
- Department of Military Health Statistics, Faculty of Preventive Medicine, Air Force Medical University/Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, Shaanxi, China
- College of Health Public, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China
| | - Borui Chen
- School of Energy and Environment, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, HKSAR, China
| | - Yang Zhang
- Department of Military Health Statistics, Faculty of Preventive Medicine, Air Force Medical University/Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, Shaanxi, China
| | - Xi Wu
- Department of Military Health Statistics, Faculty of Preventive Medicine, Air Force Medical University/Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, Shaanxi, China
| | - Yi Wan
- Department of Health Services, Air Force Medical University, Xi'an, Shaanxi, China
| | - Changsheng Chen
- Department of Military Health Statistics, Faculty of Preventive Medicine, Air Force Medical University/Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, Xi'an, Shaanxi, China.
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Kataria P, Bhasin SK, Upadhyay MK, Madhu SV. Quality of life among type 2 diabetes patients aged 30–64 years attending diabetes clinic in a tertiary care hospital in East Delhi, India. Int J Diabetes Dev Ctries 2023. [DOI: 10.1007/s13410-022-01167-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
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AL-Din MH, Magdy B, Ramadan H. Quality of life in elderly people with type 2 diabetes using EQ-5D-5L tool: a case control study. THE EGYPTIAN JOURNAL OF INTERNAL MEDICINE 2022. [DOI: 10.1186/s43162-022-00177-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Abstract
Background
According to the World Health Organization (WHO), quality of life is “an individual’s perception of their position in life in the context of the culture and value systems in which they live, and in relation to their goals, expectations, standards, and concerns. Researchers have conceptualized quality of life on many levels, and there are multiple views on how it should be defined and measured. Chronic diseases like diabetes mellitus are known to compromise the HRQoL. Type 2 diabetes mellitus (DM) is a chronic metabolic disease known to affect HRQoL adversely. Two types of tools have been developed to measure HRQoL. Generic tools are general purpose measures used to assess HRQoL of communities and also for comparison between populations. The EQ-5D-5L consists of two pages—the EQ-5D-5L descriptive system and the EQ visual analog scale (EQ VAS). The descriptive system comprises the five dimensions (mobility, self-care, usual activities, pain/discomfort, anxiety/depression).
Objectives
Assess of quality of life in elderly patients of type 2 diabetes mellitus as well as determine effects of factors related to diabetes and diabetic control on the quality of life of type 2 diabetes.
Methods
- Population of study and disease condition:
◦ A total of 60 participants were enrolled in this study, and all of the participants were among the geriatric group of people (age ≥ 60 years old).
◦ Thirty of them self-reported to have diabetes mellitus type 2, while the other 30 subjects were a control group (self-reported no to have diabetes mellitus).
◦ All participants were subjected to careful history taking, full clinical examination, in addition to laboratory investigation in the form of HBA1C.
◦ All participants had to fill in self-reported questionnaire which is used as a tool for the assessment of HRQOL named EQ-5D-5L (some patients were illiterate so the questionnaire was interviewed to them).
◦ All participants underwent interview questionnaires of the following HRQOL scales: geriatrics depression scale, ADL (activities of daily living scale), and IADL (instrumental activities of daily living scale).
Results
EQ-5D-5L score is significantly higher in diabetic patients than non-diabetics (p value < 0.001).
EQ VAS score is significantly lower in diabetic patients than non-diabetics (p value < 0.001).
ADL (activities of daily living) functional assessment impairment is higher in diabetics than non-diabetics (p value < 0.001).
IADL (independence in activities of daily living) functional assessment impairment is higher in diabetics than non-diabetics (p value < 0.001).
Visual prop is impaired in diabetics more than non-diabetics (p value < 0.001).
Pain severity is mainly affected in diabetics more than non-diabetics.
Conclusion
Type 2 diabetes mellitus in elderly patients affects their health-related quality of life and their daily activities.
In our study, the HRQOL of uncontrolled diabetic patients were more negatively affected than that of the controlled diabetic patients.
Moreover, some of our diabetic patients were found to suffer from cognitive disorders (insomnia and depression) as a complication of diabetes.
We also found that the EQ-5D-5L of diabetic patients with comorbidities was higher than those without comorbidities and EQ-VAS was lower in comorbid diabetic patients.
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Natarajan J, Mokoboto-Zwane S. Health-related Quality of Life and Domain-specific Associated Factors among Patients with Type2 Diabetes Mellitus in South India. Rev Diabet Stud 2022; 18:34-41. [PMID: 35300755 PMCID: PMC9382683 DOI: 10.1900/rds.2022.18.34] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVE Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder that has a major impact on health-related quality of life (HRQOL). The economic burden of the disease, along with its complications, negatively impact the individual, family, and society of Indian diabetic patients. This study explored the perception of the diabetic HRQOL of South Indian type2diabetic patients. METHODS This study was a cross-sectional descriptive quantitative study conducted in a tertiary care hospital in Chennai, Tamil Nadu, South India. Using the simple random sampling technique, we collected data from 352 T2DM patients aged ≥ 30 years of age who were diagnosed for a minimum of one year. Data collection occurred from June to August 2017. Data were analysed using IBM SPSS, Version 22. RESULTS Overall, 90% of patients with T2DM perceived poor HRQOL. The total and the domain- specific mean scores of HRQOL were high indicating poor HRQOL in energy mobility, diabetes control, anxiety and worry, social burden, and sexual functioning domains. Being female, increasing age, lower education levels, lower family income, and uncontrolled fasting blood glucose levels predicted poor HRQOL of patients with T2DM. CONCLUSIONS T2DM impacted the HRQOL in all measured domains of participants. A patient-centred approach to diabetes management can be incorporated to improve or enhance the health-related quality of patients’ lives. Improved HRQOL also may lead to fewer hospitalizations, and hence, reduce healthcare costs.
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Affiliation(s)
- Jansirani Natarajan
- Fundamentals and Administration Department, College of Nursing, Sultan Qaboos University, Muscat Oman
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Patil S, Patil Y, Patil SK. Assessment of quality of life in type 2 diabetes mellitus patients using World Health Organization quality of life-BREF questionnaire and appraisal of diabetes scale - a cross-sectional study. ITALIAN JOURNAL OF MEDICINE 2021. [DOI: 10.4081/itjm.2021.1444] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Diabetes is a chronic metabolic disorder that disturbs the quality of life (QOL) of patients. Therefore, evaluation of diabetes- related QOL could be a key outcome measure for its management. This study assessed the QOL in type 2 diabetes mellitus (T2DM) patients using the World Health Organization (WHO) quality of life (QOL)˗BREF questionnaire and disease-specific appraisal of diabetes scale (ADS). In this cross-sectional study, 520 T2DM patients were included. Patients’ demographic data, clinical information was collected through interviews, and the WHOQOL-BREF instrument and ADS were used for the QOL of patients. Statistical analysis was performed by using R software (Version 3.6.0). The mean ADS scores were lower in controlled diabetic subjects (18.50±3.08) and higher in uncontrolled diabetic subjects (19.29±2.73) (P<0.05). For WHOQOL-BREF, the mean scores for all the domains (overall general health, physical, psychological, social, and environmental) were significantly higher in controlled diabetic subjects (P<0.001). In addition, the age, duration of diabetes, associated comorbidities, treatment, and HbA1c level of patients showed a highly significant correlation with WHOQOL-BREF (P<0.001). Diabetic patients had poor-to-average QOL. Therefore, public health measures and education of diabetic patients are essential to create more awareness for improving the QOL of T2DM.
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Aarthy R, Mikocka-Walus A, Pradeepa R, Anjana RM, Mohan V, Aston-Mourney K. Quality of Life and Diabetes in India: A Scoping Review. Indian J Endocrinol Metab 2021; 25:365-380. [PMID: 35300441 PMCID: PMC8923323 DOI: 10.4103/ijem.ijem_336_21] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 10/18/2021] [Indexed: 11/04/2022] Open
Abstract
In recent years, numerous studies have explored the quality of life (QoL) in those with diabetes mellitus. The aim of this scoping review was to explore the current state of knowledge on QoL and its various associated factors among people with diabetes in India. Three databases were searched (PubMed, Scopus, and Medline) and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. A total of 41 articles were included in the review. The included studies were largely conducted in the Southern states and mainly investigated individuals with type 2 diabetes. The World Health Organization Quality of Life (WHOQOL-BREF) and Short Form Health Survey (SF-36) were the instruments used most often. In general, the studies showed that people with diabetes had poorer QoL than those without diabetes, and women with diabetes reported poorer QoL than men, consistent with findings across the world. However, the studies had significant methodological flaws which limit the validity and generalizability of the findings. Therefore, there is an urgent need to conduct high-quality QoL studies which are representative of all states of India as well as different types of diabetes in India in order to address this gap in the evidence.
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Affiliation(s)
- Ramasamy Aarthy
- Deakin University, School of Medicine, IMPACT, Institute for Innovation in Physical and Mental Health and Clinical Translation, Geelong, Australia
- Madras Diabetes Research Foundation, Chennai, India
| | | | | | - Ranjit Mohan Anjana
- Dr Mohan's Diabetes Specialities Centre and Madras Diabetes Research Foundation, Chennai, India
| | - Viswanathan Mohan
- Dr Mohan's Diabetes Specialities Centre and Madras Diabetes Research Foundation, Chennai, India
| | - Kathryn Aston-Mourney
- Deakin University, School of Medicine, IMPACT, Institute for Innovation in Physical and Mental Health and Clinical Translation, Geelong, Australia
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Gupta J, Kapoor D, Sood V. Quality of Life and its Determinants in Patients with Diabetes Mellitus from Two Health Institutions of Sub-himalayan Region of India. Indian J Endocrinol Metab 2021; 25:211-219. [PMID: 34760676 PMCID: PMC8547395 DOI: 10.4103/ijem.ijem_246_21] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Revised: 07/15/2021] [Accepted: 08/06/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Diabetes mellitus (DM) causes serious deterioration in general quality of life (QoL) mainly affecting the health-related quality of life (HRQOL). Routine assessment of QoL improves communication with the patient, helps to predict treatment response, and supports clinical decision-making. QoL can predict an individual's capacity to manage the disease and maintain long-term health and wellbeing. AIMS To find out the QoL and its socio-demographic, anthropometric, and clinical determinants among DM patients attending health institutions from sub-Himalayan region, catering rural population. SETTINGS AND DESIGN This cross-sectional study was conducted in two hospitals mostly catering rural population from 2014 to 2018. Purposive sampling technique was used. MATERIALS AND METHODS Socio-demographic, anthropometric, and clinical data of DM patients (N = 300) were collected. They were administeredHindi translation of QoL Instrument for Indian Diabetes Patients (QOLID) and Patient Health Questionnaire-9 (PHQ-9). All statistical analyses were carried out using Statistical Package for Social Sciences (SSPS) (Version 17.0, USA). RESULTS About 10% had very poor, 13% poor, 11% average, 16% good, and 50% very good QoL on QOLID. General health (GH) and treatment satisfaction (TS) were the most affected domains. Fatigue was the most common symptom (79%) reported in QOLID. Age more than 55 years, rural background, and PHQ-9 score of more than 7 were predictors of poorer QoL. CONCLUSION There is a need for a holistic and collaborative care of DM patients, to maintain a good HRQoL. Screening of depression, fatigue, and regular assessment of QoL should be emphasized.
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Affiliation(s)
- Jyoti Gupta
- Department of Psychiatry, All India Institute of Medical Sciences, Bilaspur, Himachal Pradesh, India
| | - Dheeraj Kapoor
- Department of Medicine, Dr. Rajendra Prasad Government Medical College, Himachal Pradesh, India
| | - Vivek Sood
- Department of Medicine, Dr. Rajendra Prasad Government Medical College, Himachal Pradesh, India
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Basu G, Nandi D, Biswas S, Roy SK. Quality of life and depression among diabetic patients attending the lifestyle clinic of a teaching hospital, West Bengal. J Family Med Prim Care 2021; 10:321-326. [PMID: 34017747 PMCID: PMC8132776 DOI: 10.4103/jfmpc.jfmpc_1709_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 10/27/2020] [Accepted: 11/30/2020] [Indexed: 11/09/2022] Open
Abstract
CONTEXT The coexistence of diabetes and depression has resulted in poor quality of life. Reported literature suggested the need for research for assessing the correlates of both quality of life along with depression in diabetic persons. AIMS To assess the quality of life (QOL), the prevalence of depression and associated factors in diabetic patients attending the lifestyle clinic of a tertiary healthcare facility in Eastern India. SETTINGS AND DESIGN This hospital-based descriptive, cross-sectional research recruited 219 patients with diabetes to assess the QOL and depression in the lifestyle clinic of a tertiary healthcare facility. METHODS AND MATERIALS The quality of life was assessed with the help of the World Health Organization (WHO) QOL BREF instrument. Depression was determined by a standardized Patient Health Questionnaire - 9(PHQ-9). The sociodemographic and diabetes-related information were collected by a semistructured questionnaire. Clinical and anthropometric examinations were conducted. STATISTICAL ANALYSIS USED All the available data were initially coded and then analyzed using the SPSS 22.0 licensed software. RESULTS The participants had a median age of 54 years. Illiteracy was significantly more among females. Hypertension was the most common comorbidity. Gender-wise difference in mean of weight, height, hip circumference, and QOL score in the psychosocial domain was significant. The mean QOL score was least in the social domain and highest in the environmental domain. Literate patients had a statistically significantly better QOL. Depression was observed significantly more in females, illiterates, and unemployed respondents. CONCLUSIONS Diabetic women with lesser literacy have an increased risk of poor QOL. Women, illiterates, and the unemployed suffered more from depression. Therefore, a target-specific, routine, and well-planned clinic approach is needed to improve the QOL and mental health of respondents.
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Affiliation(s)
- Gandhari Basu
- Department of Community Medicine, College of Medicine & JNM Hospital, WBUHS, West Bengal, India
| | - Dipanjan Nandi
- Department of Medical Intern, College of Medicine & JNM Hospital, WBUHS, West Bengal, India
| | - Sujata Biswas
- Department of Physiology, College of Medicine & JNM Hospital, WBUHS, West Bengal, India
| | - Suman Kumar Roy
- Department of Community Medicine, College of Medicine & JNM Hospital, WBUHS, West Bengal, India
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Jackson IL, Onung SI, Oiwoh EP. Self-care activities, glycaemic control and health-related quality of life of patients with type 2 diabetes in a tertiary hospital in Nigeria. Diabetes Metab Syndr 2021; 15:137-143. [PMID: 33340873 DOI: 10.1016/j.dsx.2020.12.027] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 12/08/2020] [Accepted: 12/13/2020] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND AIMS Diabetes is one of the global health emergencies of the 21st century. This study sought to assess self-care behaviours, glycaemic control and health-related quality of life (HRQoL) of type 2 diabetes patients at a Nigerian hospital, determine factors associated with HRQoL, and assess the inter-relationship among these outcomes. METHODS The Summary of Diabetes Self-Care Activities (SDSCA) measure was used to assess self-care behaviours; HRQoL was assessed with the Appraisal of Diabetes Scale (ADS) and SF-12v2 Health Survey. Glycaemic control was assessed with fasting blood sugar (FBS). The questionnaires were distributed to 250 eligible patients attending Endocrinology clinic at the University of Uyo Teaching Hospital, Akwa Ibom State, Nigeria. RESULTS Mean scores (±SD) of self-care behaviours were 4.0 ± 1.3, 3.9 ± 1.0, 2.4 ± 1.2, 1.0 ± 1.1, and 2.5 ± 2.1 for general diet, specific diet, exercise, blood glucose monitoring, and foot care respectively. Mean FBS was 7.1 ± 2.1 mmol/L. Mean ADS score was 18.1 ± 4.2. The physical and mental component summary scores were 47.84 ± 8.21 and 45.66 ± 8.74 respectively. HRQoL was significantly associated with patient socio-demographic (except gender) and clinical variables (p < 0.05). Self-care activities, FBS and HRQoL were significantly inter-correlated (rs -0.31 to 0.68; p < 0.01, p < 0.001). CONCLUSIONS Patients were more adherent to diet recommendations than to other aspects of self-care. Though most patients had adequate glucose control, the presence of diabetes had a negative impact on the mental component of health. HRQoL was affected by most of the patient-related variables. Interventions to improve adherence to self-care are recommended to achieve good glycaemic control and improve HRQoL.
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Affiliation(s)
- Idongesit L Jackson
- Department of Clinical Pharmacy and Biopharmacy, University of Uyo, P.M.B, 1017, Uyo, Akwa Ibom State, Nigeria.
| | - Samuel I Onung
- Department of Internal Medicine, Endocrine and Metabolism Unit, University of Uyo Teaching Hospital, Uyo, Akwa Ibom State, Nigeria
| | - Emmanuel P Oiwoh
- Department of Clinical Pharmacy and Biopharmacy, University of Uyo, Uyo, Akwa Ibom State, Nigeria
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Impact of comorbidity on health-related quality of life among type 2 diabetic patients in primary care. Prim Health Care Res Dev 2020; 21:e9. [PMID: 32248877 PMCID: PMC7137353 DOI: 10.1017/s1463423620000055] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Health-related quality of life (HRQL) is an important outcome for chronic diseases such as diabetes mellitus that is associated with complications, comorbidities, and lifelong care. OBJECTIVES The present study aims to explore the impact of comorbidities on the different dimensions of HRQL among type 2 diabetic patients attending primary care. METHODS A total of 912 type 2 diabetic patients attending primary care centers in India were assessed using a predesigned and pretested questionnaire - Diabetes Comorbidity Evaluation Tool in Primary Care. The HRQL was measured by physical and mental health summary scores [physical component summary (PCS) and mental component summary (MCS)] of the Short Form Health Survey 12. The associations of sociodemographic variables and clinical variables with PCS and MCS were assessed, and a minimal difference of 5 in the scores (on a scale of 0-100) was kept as clinically relevant difference for this study. Mean differences in mental (MCS) and physical (PCS) scores of quality of life by number and type of comorbid conditions in type 2 diabetic patients were calculated. RESULT The presence of comorbid conditions was associated with lower scores of PCS and MCS (P < 0.001). Significant reduction in HRQL was found with increase in number of comorbid conditions, and negative association was established between the number of comorbidities and the PCS (r = -0.25, P < 0.0001) and MCS scores (r = -0.21, P < 0.0001). Among comorbidities, acid peptic disease, chronic lung disease, visual impairment, depression, and stroke had significantly and clinically relevant reduced scores. Duration of diabetes, use of insulin, and obesity were also associated with poor HRQL. CONCLUSION Comorbidities considerably impair the HRQL among type 2 diabetic patients. National programs designed for diabetes management should also take into account the challenges of coexisting chronic conditions and its substantial effect on HRQL.
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Parik PC, Patel VJ. Health-related Quality of Life of Patients with Type 2 Diabetes Mellitus at A Tertiary Care Hospital in India Using EQ 5D 5L. Indian J Endocrinol Metab 2019; 23:407-411. [PMID: 31741897 PMCID: PMC6844180 DOI: 10.4103/ijem.ijem_29_19] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE To assess the health-related quality of life of Type 2 Diabetes mellitus patients attending outpatient departments of a tertiary hospital using EQ-5D-5L. METHODS The study was conducted at a tertiary care hospital in India. The quality of life of patients with type 2 Diabetes mellitus, age 18 years and older, attending outpatient departments of Medicine and Endocrinology was assessed with the help of EQ-5D-5L, a measure of self-reported health related quality of life. Data was analyzed to obtain EQ-5D-5L scores for the five dimensions and EQ VAS score. Correlation of EQ VAS score with different variables was analyzed. RESULTS Out of total 358 participants, 208 had comorbidities, hypertension being the most common. Mean age was 60.71 ± 11.41 years and 216 (58.9%) were female participants. Out of five dimensions, Mobility, Self-care, Usual activities, and Pain/discomfort were most affected in age group 71 years and above while anxiety/depression affected age group 18-30 years the most. Mean EQ VAS score was 78.83 ± 15.02. Female participants had significantly higher EQ VAS score (P = 0.00) than male participants. EQ VAS score showed significant negative correlation with uncontrolled state of diabetes (P = 0.000). There was significant difference in EQ VAS score between patients with and without comorbidities. (P =0.004) Cronbach alpha for EQ-5D-5L was 0.76. CONCLUSION The results suggest that EQ-5D-5L is a reliable measure for assessing health related quality of life of patients with Type 2 Diabetes mellitus. Type 2 Diabetes adversely affects the quality of life of patients. Uncontrolled disease and comorbidities can further compromise the quality of life.
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Affiliation(s)
- Paresh C. Parik
- Dr. Jivraj Mehta Smarak Health Foundation, Bakeri Medical Research Centre, Dr. Jivraj Mehta Marg, Paldi, Gujarat, India
| | - Varsha Jitendra Patel
- Department of Pharmacology, Dr. M.K. Shah Medical College and Research Centre, Chandkheda, Ahmedabad, Gujarat, India
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Mamaghanian A, Shamshirgaran SM, Aiminisani N, Aliasgarzadeh A. Clinico-epidemiological factors of health related quality of life among people with type 2 diabetes. World J Diabetes 2017; 8:407-413. [PMID: 28861178 PMCID: PMC5561040 DOI: 10.4239/wjd.v8.i8.407] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Revised: 04/15/2017] [Accepted: 05/19/2017] [Indexed: 02/05/2023] Open
Abstract
AIM To investigate the quality of life (QOL) and its clinical and epidemiological correlates among people with type 2 diabetes.
METHODS This cross-sectional study was conducted in Tabriz, Northwest of Iran, including a total of 394 people with type 2 diabetes using convenient sampling method from November 2014 to March 2015. General information including demographic, socioeconomic status and lifestyle factors were collected by trained interviewers. Clinical information was retrieved from clinic’s record and QOL was assessed using the 26-item WHOQOL-BRIFE questionnaire. Univariate and multivariate linear regression were performed to assess the related factors and QOL dimensions.
RESULTS The mean of overall health related QOL was 52.11 ± 11.53 and the maximum and minimum dimensions were respectively seen in psychological (60.38 ± 14.54) and social (38.32 ± 16.94) dimensions. The results of multiple linear regression showed a significant overall relationship between HRQOL and age (b = -1.48%, 95%CI: -0.03 and -2.93) level of education (b = 4.12%, 95%CI: 2.73 and 5.5), number of comorbidities (b = -2.41%, 95%CI: -3.89 and -9.41), and level of income (b = 1.98, 95%CI: 0.05 and 3.9), functional limitation (b = -3.59, 95%CI: -2.26 and -4.92) and psychological distress (b = -2.02%, 95%CI: -2.83 and -1.21). Level of education, functional limitation, psychological distress were associated with the score of physical, mental and environmental dimensions, and number of comorbidities was associated with the score of physical and mental dimensions.
CONCLUSION Based on our findings, lifestyle modification and increasing facilities of clinics providing service can be effective steps to improve the QOL among people with type 2 diabetes.
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Shamshirgaran SM, Ataei J, Iranparvar Alamdari M, Safaeian A, Aminisani N. Predictors of health-related quality of life among people with type II diabetes Mellitus in Ardabil, Northwest of Iran, 2014. Prim Care Diabetes 2016; 10:244-250. [PMID: 26654733 DOI: 10.1016/j.pcd.2015.11.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Revised: 10/21/2015] [Accepted: 11/07/2015] [Indexed: 01/09/2023]
Abstract
AIMS The present study aims at investigating different dimensions of the Health-Related Quality of Life (HRQOL) and its determinants among type II diabetes Mellitus (T2DM) referred to diabetes clinic in Ardabil. METHODS The present study was conducted through a cross-sectional method in which 300 people with T2DM were selected using a convenience sampling method between January and May 2014. Data were collected through 26-item structured and WHOQOL-BREF questionnaires. Data analysis was performed using descriptive and analytical statistical methods, independent t-test, Mann Whitney test, ANOVA, Kruskal Wallis, Welch test, and multivariable linear regression model using SPSS (V.20). RESULTS The mean age of the participants was 54.13±9.13, and about 72% of the patients were women. The mean score of the total HRQOL was 53.07±17.09; the highest score of HRQOL was related to the environmental domain (57.10±10.52) and the lowest to the dimension of social health (45.68±17.25). Based on multivariable linear regression, total QOL was influenced by gender, marital status, MHI, and comorbid renal disease. PH Dimension was associated with MHI and neuropathy; PSH with education level, comorbid depression, comorbid renal, and other disease; SR with marital, comorbid renal, and other disease; EH with marital status, Monthly household income (MHI), and education level. CONCLUSION According to the results of this study, Predictors of the HRQOL in T2DM are associated with demographic and socioeconomic factors, comorbidities, and with less impact, diabetes complications, respectively. Moreover, diabetic patients had moderate HRQOL, and compared with men, scores of all domains were lower in women.
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Affiliation(s)
- Seyed Morteza Shamshirgaran
- Department of Statistics and Epidemiology, School of Health Sciences and Injury Epidemiology Prevention Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Jafar Ataei
- Department of Statistics and Epidemiology, School of Health Sciences, Tabriz University of Medical Sciences, Tabriz, Iran; Khalkhal Health Center, School of Khalkhal Medical Sciences, Ardabil University of Medical Sciences, Ardabil, Iran.
| | | | - Abdolrasool Safaeian
- Department of Statistics and Epidemiology, School of Health Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Nayyereh Aminisani
- Department of Statistics and Epidemiology, School of Health Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
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Sudhir PM. The significance of measuring health related quality of life in type 2 diabetes mellitus. Int J Diabetes Dev Ctries 2014. [DOI: 10.1007/s13410-014-0211-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
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