Health and quality of life outcomes impairment of quality of life in type 2 diabetes mellitus: a cross-sectional study

Quality of life and factors associated with a good quality of life among diabetes mellitus patients in northern Thailand

Background

Quality of life (QOL) is a good indicator of lifespan, especially for individuals who are suffering from a particular illness. QOL among patients with diabetes mellitus (DM) could be used for further implementations in addition to improving patient care and disease management, especially during the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to assess QOL and identify factors associated with a good QOL among DM patients in northern Thailand.

Methods

A cross-sectional study was conducted to gather information from DM patients attending six randomly selected hospitals in the Chiang Rai province, northern Thailand. A validated questionnaire and the 26-item quality of life brief version (WHOQOL-BREF) were used to collect socioeconomic factors and assess QOL, respectively. Chi-square tests and logistic regression were used to detect the associations between variables at a significance level of α = 0.05.

Results

A total of 967 participants were enrolled in the study: 58.8% were female, 52.3% were aged ≥ 60 years, 79.7% graduated primary school and had no additional education, 68.7% had an annual income ≤ 50,000 baht, and 29.3% were unemployed. The majority of patients had a poor-to-moderate overall QOL (49.4%); 90.1% reported a moderate QOL in the physical domain, 54.7% reported a moderate QOL in the mental domain, 63.4% reported a good QOL in the social relationship domain, and 50.6% reported a good QOL in the environmental domain. In multivariate analysis, seven variables were found to be associated with good QOL among the participants. Those aged ≤ 59 years had 1.90 times (95% CI 1.32–2.73) greater odds of having good QOL than those aged ≥ 60. Those who had annual income ≥ 100,001 baht had 2.16 times (95% CI 1.17–3.96) greater odds of having good QOL than those who had annual income ≤ 50,000 baht. Those who lived alone and with spouses had 3.38 times (95% CI 1.42–8.02) and 2.20 times (95% CI 1.20–4.02) greater odds of having good QOL, respectively, than those who lived with relatives. Those who exercised regularly had 4.72 times (95% CI 2.71–8.19) greater odds of having good QOL than those who never exercised. Those who had a high level of knowledge regarding prevention and care had 3.26 times (95% CI 1.22–5.55) greater odds of having good QOL than those who had low knowledge. Those who did not have diabetic nephropathy had 7.41 times (95% CI 4.99–11.01) greater odds of having good QOL than those who were diagnosed with diabetic nephropathy, and those whose medical fees were supported by the government under the universal scheme had 4.31 times (95% CI 1.15–16.7) greater odds of having good QOL than those who had to support themselves.

Conclusions

Almost a half of DM patients in northern Thailand reported having a low-to-moderate QOL, which can be improved by focusing on socioeconomic factors, family support as well as improving knowledge regarding DM prevention and care, including the support of medical fees.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12955-022-01986-y.

Predictors that affect the Quality of Life Patient with Diabetes Mellitus: A Systematic Review

BACKGROUND: Diabetes mellitus is a disease that has received worldwide attention because its incidence continues to increase so that more research is needed, especially regarding the quality of life of diabetes mellitus patients considering that quality of life is one of the targets of diabetes mellitus management therapy. AIM: The purpose of the literature review is to review the factors that affect the quality of life of diabetes mellitus patients. METHOD: Literature reviews are conducted based on issues, methodologies, equations, and further research proposals. RESULTS: There is an influence of sociodemographic factors and behavioral factors of self-care activities on the quality of life of diabetes mellitus patients. CONCLUSION: Sociodemographic factors and behavioral factors of self-care activities affect the quality of life of patients with diabetes mellitus.

Development of an information system and mobile application for the care of type 2 diabetes patients at the primary care level for the health sector in Mexico: study protocol for a randomized controlled, open-label trial

Background

Providing optimal care for type 2 diabetes (DM2) patients remains a challenge for all healthcare systems. Patients often encounter various barriers in adhering to self-management programs due to lack of knowledge and understanding of self-care activities, lack of individualized and coordinated care, inconvenient and costly education sessions, and poor patient-provider communication. Mobile technologies such as cell phones/smartphones, handheld tablets, and other wireless devices offer new and exciting opportunities for addressing some of these challenges. The purpose of this study is to compare a diabetes management strategy using an information board and a mobile application versus standard care in patients with uncontrolled DM2.

Method

The SANENT (Sistema de Análisis de Enfermedades No Transmisibles) trial is a primary care-based, prospective, two-arm, randomized controlled, open-label, blinded-endpoint study. We aim to recruit 1440 DM2 patients during a period of 6 months until the requested number of participants has been achieved. The total length of the intervention will be 1 year. Both men and women treated for DM2 with an HbA1c > 8.5% and ≥ 20 years of age are eligible to participate in the study. The primary outcome of the study is improved diabetes control measured by changes in HbA1c in the study participants. HbA1c will be measured at baseline, 3-month, 6-month, 9-month, and 12-month follow-up visits in all participants. The main analysis will be based on the intention-to-treat principle. The primary endpoint of the study will be the change in HbA1C within the groups and the differences between the groups. This will be assessed by a repeated measurement approach based on mixed models which contain both fixed effects and random effects.

Discussion

The overall goal of this project is to contribute to the evidence for the use of mobile technology to improve the treatment and regulation of poorly controlled DM2 patients living in Mexico. Our proposed project will show how mobile health technology tools can be used in the treatment of patients with uncontrolled DM2 in primary health care in a Latin American population, and particularly how they could help diabetes patients take better care of themselves.

Trial registration

ClinicalTrials.gov, US National Institutes of Health NCT04974333. Prospectively registered on July 13, 2021. Protocol version number 1, dated August 15th, 2021.

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.

The Impact of Hypoglycemia on Patients with Diabetes Mellitus: A Cross-Sectional Analysis

The increasing mortality and morbidity in patients with diabetes mellitus constitute a severe public health problem. The condition is recognized as a cause of impaired quality of life, high costs, and diminished productivity. In this study, we performed a cross-sectional analysis among 300 Polish participants with type 1 and type 2 diabetes to determine and classify risk factors associated with increased incidences of hypoglycemia. Including an open-access knowledge about the correlations between diabetes rates and human’s lifestyle, we confirm that the frequency of smoking and drinking alcohol, low BMI, inappropriate diet, low physical activity, lack of vaccination against influenza and pneumococci, and co-existence of other comorbidities such as cardiovascular diseases, thyroid diseases, hyperlipidemia, retinopathy, and asthma elevate the risk of hypoglycemia. Furthermore, hypoglycemic patients were more often malnourished, depressed, irritated, and exposed to stress. In sum, the analysis of the interaction between diabetes and sociodemographic, environmental, or other disease-related risk factors provides strategies to optimize glycemic control and reduce the incidence of hypoglycemia. Furthermore, we believe our findings may constitute a basis for promoting health by adjusting available and implementing new preventive services reducing hypoglycemic episodes in diabetic patients.

Health-Related Quality of Life (HRQoL) of People over 65 Years of Age

Quality of life is an important indicator of the treatment process, lifestyle, and influence of many other factors, both exogenous and endogenous, on the body. Determining the quality of life of healthy people (health-related quality of life (HRQoL), considering the influence of various factors, is important due to the possibility of making subsequent comparative analyses regarding the quality of life of people diagnosed with diseases. In addition, it allows us to identify the most crucial factors influencing the HRQoL in the process of “good aging”. The purpose of the study was to present the HRQoL level of healthy people over 65 years of age. HRQoL was measured in five-year age groups (66–70, 71–75, 76–80, >80 years), considering the analyzed factors. Finally, 1038 healthy people were included in the study. The inclusion criteria were as follows: no diagnosed chronic diseases, no permanent treatment in specialist clinics, and no constant administration of medicaments. A comparative analysis was carried out, assuming a 5% conclusion error. The SF-36 questionnaire assessing the main dimensions of the quality of life was the tool used in the study to assess the HRQoL: the physical component summary (PCS), mental component summary (MCS) and index of life quality (ILQ). The factors significantly differentiating the average level of HRQoL were as follows: gender, place of residence, education, employment status, smoking and physical activity. Relationship status (p > 0.05) was one of the analyzed factors that did not influence the differences in the average level of the perceived HRQoL. More than a twofold greater chance of a higher HRQoL was reported in the group of men under 75 years of age (66–70: OR = 2.01; 71–75: OR = 2.52) compared to the group of women. The same relationship was noted in the case of higher education in respondents up to the age of 80 (66–70: OR = 1.56; 71–75: OR = 2.16; 76–80: OR = 2.74). Smoking by people over 80 years of age significantly increased the chances of a higher HRQoL in each of the dimensions (PCS: OR = 4.09; MCS: OR = 12.64; ILQ: OR = 5.79). Age as a non-modifiable factor significantly differentiates the level of the HRQoL of healthy people over 65 years of age. The results of the conducted study on HRQoL can be helpful when comparing the HRQoL of healthy people with a group of people with chronic diseases.

Evaluation of perceived fears of COVID-19 virus infection and its relationship to health-related quality of life among patients with diabetes mellitus in Egypt during pandemic: a developing country single-center study

AIMS/INTRODUCTION

COVID-19 pandemic and its associated circumstances had adversely affected patients with chronic diseases. This study aimed to assess the health-related quality of life (QoL), and identify its psychological and clinical correlates in patients with diabetes mellitus (DM) during pandemic in Egypt.

MATERIALS AND METHODS

A cross-sectional study, using a convenience sampling technique, was conducted among patients with DM who were recruited from Zagazig University endocrinology outpatient clinics, Sharkia Province, Egypt from June 30 to September 29, 2020. A total of 200 consecutive patients were interviewed using a semistructured demographic and clinical checklist, the fear of COVID-19 scale (FCV-19S), the Hospital Anxiety and Depression Scale (HADS), and the short form 36 (SF-36) health survey.

RESULTS

Poor physical and mental QoL was reported in 64% and 62% of patients with DM, respectively. Female gender, increased mean arterial pressure (MAP), associated physical comorbidities, and depressive symptoms were associated with lesser odds of physical QoL (OR 0.46, 0.96, 0.29, and 0.88, respectively). Besides, female gender, associated physical comorbidities, fear of COVID-19 virus infection (FCV), and depressive symptoms were associated with lesser odds of mental QoL (OR 0.41, 0.36, 0.91, and 0.84, respectively). The FCV was inversely correlated with all items of SF-36 among patients.

CONCLUSION

QoL, either physical or mental, was adversely affected among patients with DM during pandemic. FCV was negatively correlated with all QOL domains. Longitudinal studies are warranted to explore the long-term effect of pandemic on the physical and mental well-being of patients with DM.

Mediating Role of Depressive Symptoms on the Association Between Neighborhood Social Cohesion and Quality of Life in Individuals with Type 2 Diabetes Mellitus

PURPOSE

Few studies have explored the association between neighborhood social cohesion (NSC), a type of social capital, and the quality of life of patients with type 2 diabetes mellitus (T2DM). In addition, the potential mechanism for this association remains unclear. The current study examined the mediation effect of depressive symptoms on the relationship between NSC and quality of life among diabetes patients in China.

PATIENTS AND METHODS

A cross-sectional study of 1747 T2DM patients was conducted. The specific quality of life (DSQL), Center for Epidemiological Survey Depression (CES-D), and social capital scales were administered using a face-to-face survey. Partial correlation analysis and a linear regression model were employed to explore the relationship between NSC, depressive symptoms, and quality of life. Bootstrap analysis using PROCESS was used to test the mediation model.

RESULTS

After controlling for covariates, NSC was negatively correlated with depressive symptoms (r=-0.24, P<0.01) and DSQL score (r=-0.20, P<0.01) while depressive symptoms were positively correlated with DSQL score (r=0.46, P<0.01). Linear regression analysis also found that NSC was negatively associated with the DSQL score, while depressive symptoms were positively associated with the DSQL score. Depressive symptoms mediated the relationship between NSC and quality of life in T2DM patients (explaining 50.7% of the total variance).

CONCLUSION

NSC was positively associated with improved quality of life among Chinese T2DM patients in this study, and depressive symptoms were likely to partially explain this relationship. These findings may be used to help maintain a good quality of life among at-risk individuals. Additional prospective studies are needed to confirm these findings.

Diabetes and health-related quality of life among American Indians: the role of psychosocial factors

PURPOSE

Little is known about the association of psychosocial factors with health-related quality of life (HRQoL) among American Indians with type 2 diabetes (T2D). This study described functional social support, emotional support, coping, resilience, post-traumatic stress disorder, and HRQoL, among American Indians by diabetes status and, among those with diabetes, examined the association of these factors with HRQoL.

METHODS

Using data from the Cherokee Nation Health Survey collected between 2017 and 2019, we evaluated differences in each measure of interest according to diabetes status, using t-test and Chi-squared tests of association. We used weighted multiple logistic regression to examine associations between multiple psychosocial factors and HRQoL among those with diabetes.

RESULTS

Compared to individuals without diabetes, participants with diabetes rated their functional social support (4.62 vs. 4.56, respectively) and coping (2.65 vs. 2.61, respectively) slightly lower and were more likely to report ≥ 15 days of poor physical (14% vs. 26%, respectively) and mental health (14% vs. 17%, respectively) in the past month. Odds of reporting poor overall health increased more than sixfold for those who were dissatisfied/very dissatisfied with life (AOR = 6.70). Resilience scores reduced odds of reporting ≥ 15 days with poor physical health, while experiences of post-traumatic stress doubled these odds.

CONCLUSION

Our study yielded insights into the risk as well as protective factors associated with diabetes outcomes in a large sample of American Indians with T2D. Researchers should design pragmatic trials that deepen understanding of preventive as well as treatment leverage through greater attention to experiences that compromise HRQoL.

The influence of frailty syndrome on quality of life in elderly patients with type 2 diabetes

INTRODUCTION

There have been no comprehensive studies that assess the impact of frailty syndrome on quality of life (QoL) of patients with diagnosed type 2 diabetes. The purpose of the study was to assess the impact of frailty syndrome on QoL and depression symptoms of patients with type 2 diabetes.

METHODS

The study included 148 consecutive patients (aged ≥ 60y). The patients were divided into two groups according to the prevalence of the frailty syndrome: robust and frailty. For all of the patients that were included in the study, we used the Polish version of validated instruments: ADDQoL, TFI and BDI.

RESULTS

In the study group, 43.2% had been diagnosed with frailty syndrome. An analysis of QoL assessment depending on the prevalence of the frailty syndrome showed that patients who were robust (without recognized frailty syndrome) assessed QoL significantly better than patients with coexisting frailty syndrome. Robust patients did not have any severe depressive symptoms, whereas in the group of patients with the frailty syndrome 43.8% of the patients had a depression. 70.2% of the patients without any depressive symptoms were robust patients, meanwhile only 14% of the patients had frailty syndrome recognized.

CONCLUSIONS

Frailty syndrome occurred in 43 percent of the patients with type 2 diabetes. This has a negative impact on QoL of patients. Depression is more common in patients with the frailty syndrome and diabetes.

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.

The Look AHEAD Research Group, Wadden TA, Chao AM, Anderson H, Annis K, Atkinson K, Bolin P, Brantley P, Clark JM, Coday M, Dutton G, Foreyt JP, Gregg EW, Hazuda HP, Hill JO, Hubbard VS, Jakicic JM, Jeffery RW, Johnson KC, Kahn SE, Knowler WC, Korytkowski M, Lewis CE, Laferrère B, Middelbeek RJ, Munshi MN, Nathan DM, Neiberg RH, Pilla SJ, Peters A, Pi-Sunyer X, Rejeski JW, Redmon B, Stewart T, Vaughan E, Wagenknecht LE, Walkup MP, Wing RR, Wyatt H, Yanovski SZ, Zhang P. Changes in mood and health-related quality of life in Look AHEAD 6 years after termination of the lifestyle intervention

OBJECTIVE

The Action for Health in Diabetes (Look AHEAD) study previously reported that intensive lifestyle intervention (ILI) reduced incident depressive symptoms and improved health-related quality of life (HRQOL) over nearly 10 years of intervention compared with a control group (the diabetes support and education group [DSE]) in participants with type 2 diabetes and overweight or obesity. The present study compared incident depressive symptoms and changes in HRQOL in these groups for an additional 6 years following termination of the ILI in September 2012.

METHODS

A total of 1,945 ILI participants and 1,900 DSE participants completed at least one of four planned postintervention assessments at which weight, mood (via the Patient Health Questionnaire-9), antidepressant medication use, and HRQOL (via the Medical Outcomes Scale, Short Form-36) were measured.

RESULTS

ILI participants and DSE participants lost 3.1 (0.3) and 3.8 (0.3) kg [represented as mean (SE); p = 0.10], respectively, during the 6-year postintervention follow-up. No significant differences were observed between groups during this time in incident mild or greater symptoms of depression, antidepressant medication use, or in changes on the physical component summary or mental component summary scores of the Short Form-36. In both groups, mental component summary scores were higher than physical component summary scores.

CONCLUSIONS

Prior participation in the ILI, compared with the DSE group, did not appear to improve subsequent mood or HRQOL during 6 years of postintervention follow-up.

Quality of life of type 2 diabetes mellitus patients attending a tertiary care hospital of Northern India: A cross sectional study

Introduction:

Diabetes mellitus is a chronic and progressive metabolic disorder. According to the World Health Organization (WHO) there is “an apparent epidemic of diabetes, which is strongly related to lifestyle and economic change.” Objective of the study was to assess the quality of life of people living with type 2 diabetes mellitus and factors associated with quality of life.

Methods:

A hospital-based cross-sectional study was conducted on 215 patients with diabetes mellitus. Quality of life was assessed using a generic instrument SF 36. The data was analyzed using SPSS, version 24.0. An independent t test and analysis of variance (ANOVA) were used to compare the means of each domain of quality of life within groups of various independent variables.

Results:

The mean age of respondents was 52.5 ± 11.0 years. The majority (87.4%) of the patients were married, Hindu by religion (88.8%), and belonged to upper socio economic class (28.8%). The mean duration since diagnosis of diabetes was 7.82 ± 6.0 years, and 80.4 percent of patients were on oral hypoglycemic agents. Hypertension was found to be the most common (24.6%) comorbidity. Age, education, socioeconomic status, duration of diabetes, type of treatment, complication of diabetes, comorbidities, and body mass index (BMI) were found to be significantly associated with various domains of SF-36.

Conclusions:

Diabetes has an adverse effect on quality of life of patients with diabetes. The most affected domain in male and female patients was vitality domain followed by general health domain of quality of life.

Development of comorbidities in type 2 diabetes between 2005 and 2017 using German claims data

Against the background of increasing life expectancy over time, several hypotheses have been proposed on the way morbidity has been developing. In type 2 diabetes (T2D), previous research suggests that morbidity compression could be ruled out due to increasing prevalence and life expectancy with T2D over time. Understanding how the health state in individuals with T2D is developing would help identify whether morbidity expansion or a dynamic equilibrium pattern applies for this disease. This study aims to answer the following questions: (1) How do the number and the prevalence of T2D concordant comorbidities develop over time? (2) What does this imply in terms of morbidity development in T2D in Germany? The study used claims data from a statutory health insurance provider in Lower Saxony, Germany. Period prevalence of T2D concordant comorbidities was examined for the periods 2005–2007, 2010–2012 and 2015–2017 in 240,241, 295,868 and 308,134 individuals with T2D respectively. The effect of time period on the number and prevalence of comorbidities was examined by means of (ordered) logistic regression. The age-adjusted predicted probabilities of more severe cardiovascular diseases (CVDs) decreased over the three periods while those of less severe CVDs and other vascular diseases increased significantly in men and women and among all examined age-groups. Predicted probability of having at least one more comorbidity over time also increased significantly among all examined groups. While less and more severe CVDs exhibited different developmental patterns, the results of the study point towards morbidity expansion in T2D. Future studies should focus on mechanisms that contribute to these trends.

Validity of EQ-5D-5L health-related quality of life questionnaire in self-reported diabetes: evidence from a general population survey

Background

This study aimed to assess the validity of the EQ-5D-5L in respondents with self-reported diabetes coming from a representative general population survey.

Methods

2974 respondents from the general adult population of Poland, chosen with multi-stage random sampling, were surveyed with HRQoL instruments (EQ-5D-5L, EQ VAS, SF-12, EQ-5D-3L) and a screening question about diabetes. To obtain EQ-5D index values, we used country-specific Polish value sets. We compared the instruments in terms of the ceiling effect, discriminatory power and frequency of individual health states. We evaluated construct validity in terms of known-groups validity and convergent validity of EQ-5D-5L dimensions and index values with other HRQoL measures.

Results

In respondents with diabetes (n = 247), the percentage reporting 'no problems' with EQ-5D-3L was reduced by 34.5% with the use of EQ-5D-5L (from 14.2% to 9.3%, respectively). A significant improvement in informativity was noticed in mobility and pain/discomfort dimensions (a relative increase of 23.1% and 22.7%, respectively). Known-groups construct validity analysis confirmed prior hypotheses—index scores were higher in the following groups: younger respondents, males, those taking no medication or oral antidiabetic drugs, and respondents with higher levels of education. The convergence between related EQ-5D-5L and EQ-5D-3L or SF-6D dimensions was stronger than between unrelated dimensions. The Bland–Altman analysis showed a mean difference between EQ-5D-5L and EQ-5D-3L, SF-6D, EQ VAS/100 index scores of 0.047, 0.165 and 0.231 respectively.

Conclusions

Our results support the validity of the EQ-5D-5L descriptive system and EQ-5D-5L index, based on the directly measured value set in respondents with self-reported diabetes coming from the general population.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12955-021-01780-2.

Quality of Life and its Determinants in Patients with Diabetes Mellitus from Two Health Institutions of Sub-himalayan Region of India

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.

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.

Effects of a nurse led web-based transitional care program on the glycemic control and quality of life post hospital discharge in patients with type 2 diabetes: A randomized controlled trial

BACKGROUND

Individuals with type 2 diabetes have a heightened risk of developing serious complications post hospital discharge. Web-based transitional care is a promising intervention to improve the glycemic control and quality of life of this patient group; however, whether web-based transitional care can improve the glycemic control and quality of life of this group remains unknown. Further, the mechanisms underlying the relationships between the intervention and both glycemic control and quality of life have not been fully explored.

OBJECTIVES

The aims of this study were to develop a web-based transitional care program and evaluate its effects on the glycemic control and quality of life of Chinese patients with type 2 diabetes and to explore the mediating roles of self-efficacy and treatment adherence.

DESIGN

Randomized controlled trial.

SETTINGS AND PARTICIPANTS

This study was conducted in a large regional hospital in Guangzhou City, China. Patients diagnosed with type 2 diabetes were included.

METHODS

A total of 116 eligible participants were randomly assigned to receive either the 3-month web-based transitional care program or usual care. Assessments of hemoglobin A1c (HbA1c), self-efficacy, treatment adherence, and quality of life were conducted at baseline and at 3 months. Analysis followed the intention-to-treat principle. A generalized estimating equation was used to determine intervention effects on HbA1c and quality of life. Path analysis was used to assess the mediation of these effects by changes in self-efficacy and treatment adherence during the intervention.

RESULTS

Participants in the intervention group had significantly greater improvements in HbA1c (β = 2.87; p < 0.01) and quality of life (β = 7.69; p < 0.01) compared with the control group. The relationships between the intervention and both glycemic control and quality of life were significantly mediated by improved self-efficacy (indirect effect: β = 0.18, p < 0.05) and improved treatment adherence (indirect effect: β = 0.17, p < 0.05); overall, the model explained 52.5% of the variance in HbA1c and 34.2% of the variance in quality of life.

CONCLUSIONS

Our study identified beneficial effects of a web-based transitional care program on glycemic control and quality of life post hospital discharge in people with type 2 diabetes, and the underlying mediating mechanisms. The effectiveness and feasibility of this web-based intervention program suggests that its application should be promoted in community settings to reduce poor outcomes in people with type 2 diabetes. Tweetable abstract: The web-based transitional care program can improve patients' glycemic control and quality of life. Registration number: ChiCTR2000035603.

The effects of a Namaste care program on quality of life: A pilot study in Iranian women with late-stage Alzheimer's disease

The current study aimed to investigate the effects of a Namaste care program on the quality of life of 25 women with late-stage Alzheimer's disease. The program was implemented two hours daily and four days per week for six months in a nursing facility, Tehran, Iran. Women's quality of life was measured using the Persian version of the Quality of Life in Late-Stage Dementia scale before and after the program implementation. After a six-month intervention with the Namaste care program, the total score of quality of life significantly decreased (17.79 ± 1.10 at the end of trial compared with 24.67 ± 1.62 at baseline, P = 0.01), indicating improved quality of life. This effect was obtained after controlling for demographic variables and comorbidities. Hence, it seems that the Namaste care program might be an effective supportive method to improve the quality of life of women with late-stage Alzheimer's disease in Iranian culture. However, further large-sample studies are needed to investigate the generalizability of the findings.

Enacted support matters in the relationship between psychological distress and health-related quality of life among type 2 diabetes patients in Nigeria

We examined whether the association between psychological distress (depression, anxiety and stress) and diabetes-related quality of life (DRQoL) among type 2 diabetes Mellitus (T2DM) patients in Nigeria was moderated by enacted support (ES). Participants were 279 T2DMpatients (Mage = 59.65, SD: 11.57) conveniently sampled from three tertiary health-care institutions in Enugu State, Nigeria. Participants completed measures of diabetes-related Quality of Life, depression, anxiety, and stress. Results showed that ES moderated the relationship between anxiety and DRQoL. Moderation graph revealed that for participants with low and moderate ES, anxiety was positively associated with DRQoL. ES also moderated the association between stress and DRQoL. The moderation graph showed that for participants with low and moderate ES, stress was negatively associated with DRQoL. ES did not, however, moderate the association between depression and DRQoL. Our findings suggest the levels of supports for diabetes management behaviours that may be helpful toT2DM patients. This could guide health managers in developing strategies that might prevent or ameliorate the impact of psychological distress.

Quality of Life in Type 2 Diabetes Mellitus Patients with Neuropsychological Deficits

OBJECTIVE

We investigated: (i) the cognitive performance of type 2 diabetes mellitus (T2DM) patients compared to healthy control participants and (ii) the Health-related Quality of life (HRQOL) of type 2 diabetics with neuropsychological deficits.

METHOD

We conducted a prospective study in (N = 44) T2DM patients and (N = 28) demographically matched healthy controls. All participants were assessed with a flexible comprehensive neuropsychological battery of tests that have been standardized in Greece and found to be sensitive in detecting cognitive deficits in type 2 diabetics. They were additionally assessed on measures of general intelligence, general mental state, and depression. They were also administered the WHO QOL-BREF self-report questionnaire to evaluate perceived health-related quality of life.

RESULTS

Groups were well matched on baseline demographic characteristics and estimated premorbid intelligence. The groups did not differ on general mental state but varied in the encoding of verbal material, total verbal learning, delayed recall of verbal information, mental information processing speed, phonological and semantic verbal fluency and executive functions, set-shifting. Glycosylated hemoglobin levels and an interaction of age, education, and premorbid intelligence were the most important predictors of domain-specific neuropsychological performance. T2DM patients with deficits in verbal learning, executive functions, set-shifting, and semantic verbal fluency, had significantly lower QOL in the domains of psychological and environmental health, social relationships, and general health, respectively.

CONCLUSION

T2DM patients have cognitive deficits on several domains compared to healthy participants. Domain specific neuropsychological deficits in middle aged T2DM patients have a significant impact on HRQOL.

Impact of comorbidity on health-related quality of life among type 2 diabetic patients in primary care

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.

Going Beyond the Visible in Type 2 Diabetes Mellitus: Defense Mechanisms and Their Associations With Depression and Health-Related Quality of Life

Introduction

Clinical psychological features may impact a person’s aptitude to deal with chronic diseases, leading to emotional distress, suffering, and a worse perceived quality of life (QoL). Chronic diseases are largely represented, and their incidence is constantly increasing all over the world. Type 2 Diabetes Mellitus (T2DM) is one of the most common chronic diseases and it is very difficult to manage, demanding long term self-management, which improves the perceived QoL. The aim of this study was to explore defense mechanisms, depression, QoL, time since diagnosis, and metabolic control in T2DM patients.

Methods

51 patients with T2DM were assessed through a psychodiagnostic battery: Beck Depression Inventory-II, the 36-Item Short Form Health Survey, including indexes of Physical and Mental Component Summary and the Defense Mechanisms Inventory. Times since DM diagnosis and glycated hemoglobin values were detected.

Results

Participants were mainly female (62.74%), with a mean age of 66.1 years. T2M time since diagnosis was 11.77 years (SD = 7.1). Mild depression was detected (with an overall score between 13 and 19). Projection was significantly associated with higher depression and with lower physical well-being; Principalization was negatively associated with depression and positively with both physical and mental well-being. Turning Against Self correlated positively with physical well-being and negatively with mental well-being. Reversal was associated with lower depression and higher mental well-being. A negative high correlation emerged between depression and mental well-being. Finally, a significant relationship was found between Projection and higher time since diagnosis (r = 0.31, p < 0.05).

Conclusion

The correlations between defense mechanisms, depression and health-related QoL highlight the potential personification and protagonization, which may increase over time due to the illness intrusiveness and worsening of diabetes symptoms. The positive association between defensive strategies and well-being measures should be cautiously considered.

Measurement of patient-reported outcomes. 1: The search for the Holy Grail

Patient-reported outcome measures (PROMs) are used to collect information directly from patients. They may cover several different types of outcomes ranging from symptoms, functioning, utility, satisfaction, through to quality-of-life (QoL). They generally consist of self-completed questionnaires that can be administered by means of hard copies or in a range of electronic formats. PROMs vary considerably in terms of the constructs they assess, the care with which they are developed, and their scientific quality. However, none of the PROMs available approach the quality of measurement achieved by measures/instruments used in physics. PROs are examples of latent variables. These are not directly observable, but can be inferred from, for example, responses to a questionnaire. The only measure of a latent variable that approaches the quality of measurement achieved by the physical sciences is the Lexile Framework for Reading. This framework is based on a construct theory that grew out of an analysis of several available reading measures. A specification equation was generated that was able to link the construct theory to scores obtained with the Lexile measure. A fundamental requirement of this quality of measurement is that the data collected with the model fit Rasch Measurement Theory (RMT). It is argued that PROM developers should aspire to match this level of measurement sophistication if their instruments are to provide valid insights into the impacts of disease and its treatment.

The prevalence of comorbid depression in patients with type 2 diabetes: an updated systematic review and meta-analysis on huge number of observational studies

AIMS

Depression is a common co-morbidity in patients with type 2 diabetes mellitus (T2DM). Untreated depression in these patients adversely affects self-care activities and other diabetes complications. The aim of this study is to estimate the prevalence of depression among patients with T2DM by conducting a meta-analysis of observational studies.

METHODS

MEDLINE, Web of Science, Science Direct, and Google Scholar databases were searched for all observational studies that assessed depression in T2DM. Relevant articles were searched using the combination of Medical Subject Heading (MeSH) terms of "depression", "depressive disorder", and "diabetes mellitus" published between January 2007 and July 2018. Random effects model was used to estimate the weighted prevalence rates and 95% CI using "metaprop program in STATA 11".

RESULTS

In total, the 248 included studies (with 273 reported prevalence) identified 83,020,812 participants; of them, 23,245,827 (28%; 95% CI 27, 29) suffered from different severity levels of depressive disorders. The prevalence of depression was separately reported in 137,372 males and 134,332 females. Of them, 31,396 males (23%, 95% CI: 20, 26) and 45,673 females (34%, 95% CI: 31, 38) were depressed. Compared with global estimate, depression prevalence was lower in Europe (24%) and Africa (27%), but higher in Australia (29%) and Asia (32%). The prevalence in America was equal to the estimated prevalence in the world (28%). Depression was more common in subjects younger than 65 compared with elderlies (31% vs. 21%).

CONCLUSION

Our findings demonstrated that almost one in four adults with T2DM experienced depression. Given the high prevalence of depressive disorders in diabetic patients, screening these patients for co-morbid depression and its relevant risk factors is highly recommended.