Heath related quality of life and associated factors among adults with and without diabetes in Adama city East Shewa, Ethiopia 2019; using generalized structural equation modeling

Factors predicted quality of life of people with type 2 diabetes in western Ethiopia

BACKGROUND

Multiple factors predict the quality of life of adults with diabetes. However, the relationships of demographics, self-management practice, and support status with the quality of life of people with diabetes are unknown. Therefore, the study aimed to assess factors related with the quality of life of adults with type 2 diabetes in western Ethiopia.

METHODS

A hospital-based cross-sectional study involving adults with type 2 diabetes was conducted in western Ethiopia from June 02, 2020, to August 31, 2020. Convenience sampling technique was used in selecting subjects. The translated and psychometrically tested summary of diabetes self-management activities (expanded), diabetes quality of life, and diabetes care profile support scales were used in measuring self-management practice, quality of life, and support status, respectively. Data were collected via face-to-face interviews. Factors related with quality of life were examined through bivariate analysis and multivariable linear regression. In all statistical tests, P value <0.05 and confidence level that excluded zero were considered statistically significant.

RESULTS

A total of 417 adults with type 2 diabetes participated in the study. In a multivariable linear regression, seven factors including age, male, homemakers, those separated/divorced, number of years since diabetes diagnosis, self-management practice and support needed were related with quality of life. Male patients (β = 2.786, 95% CI = 1.285 to 4.287, p < 0.001), homemakers (β = 0.366, 95% CI = 0.056; 0.677, p = 0.021), self-management practice (β = 4.528, 95% CI = 3.851 to 5.205, p < 0.001) and those who needed support from their families or peers (β = 1.623, 95% CI = 0.458; 2.788, p = 0.006) were related positively with quality of life whereas those who separated or divorced (β = -1.698, 95% CI = -3.371 to -0.025, p = 0.047), older age (β = -0.195, 95% CI = -0.269 to -0.121, p < 0.001) and those who lived with diabetes for a longer duration (β = -2.206, 95% CI = -4.151 to -0.261, p = 0.026) were related negatively with quality of life.

CONCLUSION

Quality of life of people with type 2 diabetes living in western Ethiopia was predicted positively by being male, homemakers, having self-management practice, and support needed, whereas negatively influenced by old age, separation or divorce, and long diabetes life. Thus, encouraging self-management practice, and continuous family or friend support are necessary to enhance quality of life of people with type 2 diabetes. Further study should employ random sampling techniques and involve participants from multiple study settings to increase representativeness of the samples.

Quality of life among patients with the common chronic disease during COVID-19 pandemic in Northwest Ethiopia: A structural equation modelling

BACKGROUND

Improving Quality of Life (QoL) for patients with chronic diseases is a critical step in controlling disease progression and preventing complications. The COVID-19 pandemic has hampered chronic disease management, lowering patients' quality of life. Thus, we aimed to assess the quality of life and its determinants in patients with common chronic diseases, in Northwest Ethiopia during the COVID-19 pandemic.

METHODS

A cross-sectional study was conducted among 1815 randomly selected chronic patients with common chronic diseases. A standardized WHOQOL BREF tool was used, and electronic data collection was employed with the kobo toolbox data collection server. Overall QoL and the domains of Health-Related Quality of life (HRQoL) were determined. Structural equation modelling was done to estimate independent variables' direct and indirect effects. Path coefficients with a 95% confidence interval were reported.

RESULTS

About one in third, (33.35%) and 11.43% of the study participants had co-morbid conditions and identified complications, respectively. The mean score of QoL was 56.3 ranging from 14.59 and 98.95. The environmental domain was the most affected domain of HRQoL with a mean score of 52.18. Age, psychological, and environmental domains of HRQoL had a direct positive effect on the overall QoL while the physical and social relationships domains had an indirect positive effect. On the other hand, the number of medications taken, the presence of comorbidity, and complications had a direct negative impact on overall QoL. Furthermore, both rural residency and the presence of complications had an indirect negative effect on overall QoL via the mediator variables of environmental and physical health, respectively.

CONCLUSION

The quality of life was compromised in chronic disease patients. During the COVID-19 pandemic, the environmental domain of HRQoL was the most affected. Several socio-demographic and clinical factors had an impact on QoL, either directly or indirectly. These findings highlighted the importance of paying special attention to rural residents, patients with complications, patients taking a higher number of medications, and patients with comorbidity.

Longitudinal modeling of fasting blood sugar with diabetes: A case study of Adama Hospital Medical College, Ethiopia

Objective

The aim of this study was to evaluate the change in fasting blood sugar (FBS) over time and its determinants in diabetic patients.

Methods

A longitudinal data analysis retrospective-based study was considered with a sample of 312 patients, and the linear mixed effect model was applied.

Results

Based on the linear mixed model, the 3-month change in time decreases the average FBS level by 0.0111. An increase of one unit of body mass index (BMI) increases the FBS level by 0.0434. Similarly, an increase in blood pressure (DBP) per unit increased the average log FBS level by 0.0005. Secondary and higher education levels lower log FBS levels by 99.41% and 99.45%, respectively, compared with noneducated individuals.

Conclusion

The study showed that hypertension history, type of diet, age, status of education, type of drug, body mass index, diastolic blood pressure, and time were statistically significant factors.

Implications

According to the study, eating a healthy diet, maintaining a healthy body weight, and a low blood sugar level are essential to controlling blood sugar and preventing long-term complications. The government should build an educational institution proportional to the population and open programs to increase awareness about the prevention mechanism of diabetes in communities.

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.

The influencing factors of health-related quality of life among rural hypertensive individuals: a cross-sectional study

Background

Previous reports regarding health-related quality of life (HRQoL) of hypertensive individuals commonly concentrated on urban population. This study focused on rural population and aimed to explore the influencing factors of HRQoL.

Methods

Date were derived from Henan Rural Cohort study. The HRQoL of participants were assessed via European Quality of Life Five Dimension Five Level Scale (EQ-5D-5L) instrument. Tobit regression model and generalized linear model were employed to explore the influencing factors of HRQoL. Another binary logistic regression was utilized to examine the robustness of our results.

Results

Among 23,485 rural population, 8128 participants were identified with hypertension. The mean (SD) utility index and VAS score of non-hypertension group were 0.96 (0.09) and 79.66 (14.20), respectively, while in hypertension group were 0.94 (0.14) and 75.88 (15.50), respectively. Pain/discomfort was the most common self-reported problem (23.05%) for patients. Aging and suffering with other diseases were negatively associated with HRQoL among rural patients, while high socioeconomic status and healthy lifestyles corresponded with high HRQoL.

Conclusions

Hypertension did push considerable pressures on patients’ HRQoL. Maintaining healthy lifestyles and improving the socioeconomic status of patients were advisable ways to reduce this burden.

Trial registration The Henan Rural Cohort Study has been registered at Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699). http://www.chictr.org.cn/showproj.aspx?proj=11375

Supplementary Information

The online version contains supplementary material available at 10.1186/s12955-021-01879-6.

Outcomes in high and low volume hospitals in patients with acute hematochezia in a cohort study

Outcomes of acute lower gastrointestinal bleeding have not been compared according to hospital capacity. We aimed to perform a propensity score-matched cohort study with path and mediation analyses for acute hematochezia patients. Hospitals were divided into high- versus low-volume hospitals for emergency medical services. Rebleeding and death within 30 days were compared. Computed tomography, early colonoscopy (colonoscopy performed within 24 h), and endoscopic therapies were included as mediators. A total of 2644 matched pairs were yielded. The rebleeding rate within 30 days was not significant between high- and low-volume hospitals (16% vs. 17%, P = 0.44). The mortality rate within 30 days was significantly higher in the high-volume cohort than in the low-volume cohort (1.7% vs. 0.8%, P = 0.003). Treatment at high-volume hospitals was not a significant factor for rebleeding (odds ratio [OR] = 0.91; 95% confidence interval [CI], 0.79-1.06; P = 0.23), but was significant for death within 30 days (OR = 2.03; 95% CI, 1.17-3.52; P = 0.012) on multivariate logistic regression after adjusting for patients' characteristics. Mediation effects were not observed, except for rebleeding within 30 days in high-volume hospitals through early colonoscopy. However, the direct effect of high-volume hospitals on rebleeding was not significant. High-volume hospitals did not improve the outcomes of acute hematochezia patients.

Quality of life and adherence to mediterranean diet among type 2 diabetes mellitus patients of a primary health care clinic in Hebron city, Palestine

BACKGROUND: Diabetes mellitus (DM) is a lifelong metabolic disease with a high rate of mortality and morbidity. Uncontrolled and untreated diabetes results in serious complications that subsequently cause patients’ quality of life (QoL) to deteriorate. Adherence to Mediterranean diet (MD) may relieve the complications of diabetes, thereby improving the quality of life for these patients. OBJECTIVE: The aim of this study was to assess the QoL of DM patients who adhered to MD. METHODS: In this cross-sectional study, we examined the QoL and MD data of 106 DM II patients being treated at a primary health care clinic in Hebron. We used the SF-36 questionnaire to measure the patients’ QoL and the MEDAS tool to assess their MD adherence. We also recorded their anthropometric measurements, abdominal obesity, lifestyle habits and blood biochemical results. RESULTS: The sample comprised male and female DM II patients between the ages of 35 and 72, with their mean age being 55.8±10.24. Patients’ QoL scores showed a significant relationship with three BMI categories, i.e., total QoL score, physical function, and pain domains (p < 0.05). In terms of diet, high adherence to MD had a positive impact on all domains and on patients’ total QoL with significant differences in physical functioning, emotional well-being, social functioning and pain domains. CONCLUSION: Patients’ QoL domains were relatively low and highly affected by DM II. Patients with greater MD adherence reported higher scores in all QoL domains. Significantly higher scores were noted for the physical, social and pain domains. Hence, MD is a recommended dietary pattern for DM II patients to achieve a better QoL.

Influence of Context and Setting on the Mental Health and Wellbeing Outcomes of Ayahuasca Drinkers: Results of a Large International Survey

Ayahuasca is a traditional plant decoction containing N,N-dimethyltryptamine (DMT) and various β-carbolines including harmine, harmaline, and tetrahydroharmine, which has been used ceremonially by Amazonian Indigenous groups for healing and spiritual purposes. Use of the brew has now spread far beyond its original context of consumption to North America, Europe, and Australia in neo-shamanic settings as well as Christian syncretic churches. While these groups have established their own rituals and protocols to guide use, it remains unknown the extent to which the use of traditional or non-traditional practices may affect drinkers' acute experiences, and longer term wellbeing and mental health outcomes. Hence, this study aimed to provide the first detailed assessment of associations between ceremony/ritual characteristics, additional support practices, motivations for drinking, and mental health and wellbeing outcomes. The paper uses data from a large cross-sectional study of ayahuasca drinkers in more than 40 countries who had used ayahuasca in various contexts (n = 6,877). It captured detailed information about participant demographics, patterns and history of ayahuasca drinking, the setting of consumption, and ritualistic practices employed. Current mental health status was captured via the Kessler 10 psychological distress scale and the mental health component score of the SF-12 Health Questionnaire, while reported change in prior clinically diagnosed anxiety or depression (n = 1276) was evaluated using a (PGIC) Patient Global Impression of Change tool. Various intermediate outcomes were also assessed including perceived change in psychological wellbeing, number of personal self-insights attained, and subjective spiritual experience measured via the spirituality dimension of the Persisting Effects Questionnaire (PEQ) and Short Index of Mystical Orientation. Regression models identified a range of significant associations between set and setting variables, and intermediate and final mental health and wellbeing outcomes. A generalized structural equation model (GSEM) was then used to verify relationships and associations between endogenous, mediating and final outcome variables concurrently. The present study sheds new light on the influence of ceremonial practices, additional supports and motivations on the therapeutic effects of ayahuasca for mental health and wellbeing, and ways in which such factors can be optimized in naturalistic settings and clinical studies.

Heath related quality of life and associated factors among diabetes patients in sub-Saharan countries: a systemic review and meta-analysis

Background

Various primary studies have been conducted in sub-Saharan countries on the level of health related quality of life (HRQoL) and their associated factors among diabetic patients. However, the result of these studies lacks consistency. Therefore, this systematic review and meta-analysis estimates the pooled level of HRQoL and their associated factors among diabetic patients in sub-Saharan countries.

Methods

Electronic databases predominantly PubMed were searched. Databases, such as Google and Google scholar, were searched for gray literature. A funnel plot and Egger’s regression test were used to see publication bias. Heterogeneity of the studies was checked by Forest plot and I-squared statistic. Both inverse-variance fixed-effect and DerSimonian and Laird random-effects methods were applied to estimate the pooled level of HRQoL (for both WHO-QoL-BREF and SF-36) and the effect size of associated factors.

Result

From a total 776 retrieved studies, 16 studies were included for systematic review and meta-analysis. The pooled mean score of physical health, psychological, social relation and environmental health domain of WHO-QoL-BREF were 43.12, 47.40, 46.60 and 45.59 respectively. Age had a significant association (pooled β = − 0.47), (pooled β = − 0.24), (pooled β = − 0.32) and (pooled β = − 0.03) with physical health, psychological health, social relation and environmental health domains respectively. Being rural residence (pooled β = − 0.32) was inversely associated with environmental health domain of WHO-QoL-BREF. Increased fasting blood sugar had a significant association (pooled β = − 0.08, 95% CI − 0.11, − 0.05), (pooled β = − 0.07) and (pooled β = − 0.004) with physical health, psychological health and environmental health domains respectively. Having Co-morbidity (pooled β = − 6.25) and diabetes related complication (pooled β = − 5.65) were contrarily related to physical health domain of WHO-QoL-BREF.

Conclusion

The pooled mean of physical and environmental domains of HRQOL scores was the least compared to the psychological and social domains. Being Old age and rural residence, increased fasting blood sugar, having co-morbidity and diabetic related complications were contrarily related to level of HRQoL. Therefore, we recommend that early detection and treatment of diabetes related complication and comorbidity and control of fasting blood sugar. While doing that due attention should be given for old and rural dwellers.

Prevalence of Depression and Associated Factors among Diabetes Patients in East Shewa, Ethiopia: Bayesian Approach

BACKGROUND

Depression is one of the most pressing public health problems and also highly prevalent comorbid condition among diabetes mellitus (DM) patients. Depression may impact lifestyle decisions and ability to poorly perform tasks which are risk factors for DM. For reducing the impact of depression among DM patients in developing countries, it is crucial to identify and assess associated risk factors of depression among DM patients, thereby designing effective management techniques. In line with this, the current study applies the Bayesian framework, which pools prior information and current data, to find factors associated with depression among DM patients.

METHODS

A hospital-based cross-sectional study was conducted at Adama Hospital and Medical College (AHMC) from March to April 2019. Data was entered into the Epi-data 3.1 then exported to the R software 3.4.4. Bayesian logistic regression models were fitted to the data using the Markov chain Monte Carlo (MCMC) algorithm. Estimates of model parameters including adjusted odds ratio (AOR) with 95% credible intervals (CI) were calculated.

RESULTS

A total of 359 adults with DM were included in the analysis. The prevalence of depression among diabetic patients was 9.22% (95% CI: 6.4% to 12.7%). Higher fasting blood sugar level (AOR = -1.012; HPD CI: (1.0020, 1.025)), having diabetic complication (AOR = 0.1876; HPD CI: (0.0214, 0.671)), history of hospital admission (AOR = 0.2865; HPD CI: (0.0711, 0.7318)), low medication adherence (AOR = 29.29; HPD CI: (3.383, 92.26)), and taking both insulin and oral antidiabetic medication (AOR = 24.46; HPD CI: (15.20, 49.37) were significantly and strongly associated with depression among DM patients.

CONCLUSIONS

Prevalence of depression among diabetes patients in the catchment area of Adama Hospital, Ethiopia, was found to be very low. Higher fasting blood sugar level, diabetic complication, history of hospital admission, low medication adherence, and taking both insulin and oral antidiabetic medication were found to be strong predictors of prevalence of depression among DM patients. Based on the findings, we recommend that integrating screening and treating of depression, early detection and management of diabetic complication, and giving counseling to improve medication adherence is an effective approach for lowering the impact of depression on DM patients.