Health-related quality of life and associated factors among type 2 diabetic adult patients in Debre Markos Referral Hospital, Northwest Ethiopia

Wonde, Tewodros Eshete; Ayene, Tessema Reta; Moges, Nurilign Abebe; Bazezew, Yibelu

doi:10.1016/j.heliyon.2022.e10182

Cited by 8 publications

(12 citation statements)

References 56 publications

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“…In 18 primary studies, gender was determined as a significant predictor of HRQoL. Females were shown to have significantly poorer HRQoL and the most statistically significant in the physical and psychological domain ( Al Hayek et al, 2014 ; Alsayed Hassan et al, 2022 ; Alshayban & Joseph, 2020 ; Barua et al, 2021 ; Bourdel-Marchasson et al, 2013 ; Chantzaras & Yfantopoulos, 2022 ; Chew et al, 2015 ; Gebremedhin et al, 2019 ; Hamady et al, 2022 ; Natarajan & Mokoboto-Zwane, 2022 ; Nguyen et al, 2018 ; Saleh et al, 2015 ; Shamshirgaran et al, 2016 ; Tran Kien et al, 2021 ; Wan et al, 2016 ; Wonde et al, 2022 ; Zare et al, 2020 ) in particular, on the dimensions of physical functioning, emotional role, energy, emotion, social functioning, and pain ( Al Hayek et al, 2014 ).…”

Section: Resultsmentioning

confidence: 99%

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Predicting Factors of Health-Related Quality of Life Among Adults With Type 2 Diabetes: A Systematic Review

Teli,

Thato,

Rias

2023

SAGE Open Nursing

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Introduction One of the most important outcomes of diabetes care and treatment is an improvement in patients’ health-related quality of life (HRQoL). Objective This study aimed to review the empirical evidence regarding the predictors of HRQoL among adults with type 2 diabetes mellitus (T2DM). Methods To find all English-language articles published between 2012 and 2022, a comprehensive literature search was conducted using ProQuest, Scopus, PubMed, Science Direct, and CORE. Cross-sectional studies were the focus of this analysis. Search terms included “type 2 diabetes” OR “T2DM” AND “health-related quality of life” OR “HRQoL” AND (“predicting factors” OR “influencing factors” OR “associated factors”). The original search yielded a total of 1,089 studies, from which 35 met the review's inclusion criteria. The systematic review protocol was registered with PROSPERO CRD42023431229. Results The final analysis comprised 24,346 people with type 2 diabetes and used data from 35 cross-sectional studies conducted during the preceding decade. Socio-demographic factors (age, marital status, gender, monthly income, education, area of residence, and religiosity), patient-centered factors (diabetes knowledge and self-efficacy), disease characteristics (comorbidities, duration of diabetes, and insulin treatment), self-management behaviors (physical activity, medication adherence, and frequent glucose checks), and family support were found to be predictors of HRQoL. Conclusion A diabetes program to enhance the HRQoL among people with T2DM is highly encouraged to address these factors, which can be focused on promoting self-management behaviors, diabetes distress management, and encourage family support.

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Section: Resultsmentioning

confidence: 99%

“…According to an investigation carried out in Indonesia, a lower EQ-5D score was substantially correlated with a lack of understanding of therapy ( Arifin et al, 2019 ). In addition, a study in Ethiopia reported that diabetic patients who joined diabetes counseling had better HRQoL ( Wonde et al, 2022 ).…”

Section: Resultsmentioning

confidence: 99%

Predicting Factors of Health-Related Quality of Life Among Adults With Type 2 Diabetes: A Systematic Review

Teli,

Thato,

Rias

2023

SAGE Open Nursing

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“…Previous research has highlighted that women tend to experience higher rates of obesity and more severe disease conditions. Additionally, they often bear the weight of extra societal and familial responsibilities [ 9 ].…”

Section: Discussionmentioning

confidence: 99%

“…Studies have examined various facets of QOL, including physical, mental, and social well-being, shedding light on the multifaceted impact of diabetes on different aspects of patients’ lives. Factors such as disease management, complications, treatment adherence, and the psychosocial effects of living with a chronic condition have been central themes in exploring the dimensions of QOL in diabetic populations [ 5 , 9 – 12 ]. However, considering the notable surge in Type 2 Diabetes (T2D)-related Disability-Adjusted Life Years (DALYs) and fatalities in middle-income countries such as Iran, which surpassed other Middle East and North Africa (MENA) countries over the last three decades [ 13 ], further investigation in this region is mandatory.…”

Section: Introductionmentioning

confidence: 99%

The association between quality of life and diabetes: the Bushehr Elderly Health Program

Panahi,

Ahmadi,

Hosseinpour

et al. 2024

BMC Geriatr

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Background and objective Considering the importance of diabetes and its increased prevalence with aging, this study aimed to evaluate the association between diabetes status and quality of life (QOL) and the determining factors in individuals over 60. Methods Two thousand three hundred seventy-five individuals including 819 (34.5%) with diabetes, aged 69.4 ± 6.4, from Bushehr Elderly Health Program (BEHP) were enrolled. We categorized the participants as non-diabetic, controlled diabetic, and poorly controlled diabetic. The QOL was assessed using the SF-12 questionnaire. The physical (PCS) and mental (MCS) component summaries of QOL were estimated. We compared the SF-12 domains and components between the categories using ANOVA. Further, the association of diabetes status with PCS and MCS was assessed after adjustment for possible confounders including age, sex, depression, cognitive impairment, physical activity, and other relevant factors using linear regression analysis. Results Individuals with diabetes had lower PCS (40.9 ± 8.8 vs. 42.7 ± 8.6, p-value < 0.001), and MCS scores (45.0 ± 10.2 vs. 46.4 ± 9.4, p-value < 0.001) compared to participants without diabetes. No significant differences were observed in PCS or MCS scores between controlled or poorly controlled individuals with diabetes. Diabetes status was associated with PCS and MCS scores in univariable analysis. Regarding physical component of QOL, after adjusting for other confounders, poorly controlled diabetes was significantly associated with PCS [beta: -1.27 (-2.02, -0.52)]; some other determinants include depression [-7.66 (-8.51, -6.80)], male sex [3.90 (3.24,4.57)], and good physical activity [1.87 (1.17,2.57)]. As for the mental component, controlled diabetes was significantly associated with MCS [-1.17 (-2.13, -0.22)]; other contributing factors include depression [-14.35 (-15.34, -13.37)], male sex [1.97 (1.20,2.73)], good physical activity [-1.55 (-2.35, -0.75)], and smoking [-1.42 (-2.24, -0.59)]. BMI had an inverse association with PCS [-0.19 (-0.26, -0.13)] and a direct association with MCS [0.14 (0.07,0.21)]. Conclusion Individuals with diabetes exhibited reduced QOL scores. Upon adjusting for other variables, it was found that uncontrolled diabetes correlated with decreased PCS scores, whereas controlled diabetes was linked to lower MCS scores. Factors such as depression and being female were identified as contributors to diminished QOL in both physical and mental aspects. These results have the potential to guide healthcare decision-making, facilitating the creation of tailored interventions aimed at improving the QOL for individuals with diabetes, with a specific focus on women and depression.

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“…The required sample size was estimated based on multiple linear regression using G*Power 3.0. Since previous studies in Ethiopia did not report R 2 [ 20 , 28 , 29 ], to be conservative, we assumed a small effect size of R 2 = 0.04 with 10 predictors in the final regression model, a sample size 417 is required to achieve a 80% power with a significance level of 5%.…”

Section: Methodsmentioning

confidence: 99%

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

2023

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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.

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Health-related quality of life and associated factors among type 2 diabetic adult patients in Debre Markos Referral Hospital, Northwest Ethiopia

Cited by 8 publications

References 56 publications

Predicting Factors of Health-Related Quality of Life Among Adults With Type 2 Diabetes: A Systematic Review

Predicting Factors of Health-Related Quality of Life Among Adults With Type 2 Diabetes: A Systematic Review

The association between quality of life and diabetes: the Bushehr Elderly Health Program

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

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