Assessment of Health Related Quality of Life and Associated Factors among Hypertensive Patients on Treatment at Public Hospitals in Mekelle, North Ethiopia

Jufar, Alemayehu Hailu; Nuguse, Fiseha Girma; Misgna, Haftom Ghiwot

doi:10.4172/2167-1095.1000239

Cited by 7 publications

(11 citation statements)

References 12 publications

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“…Results also revealed that patients having 2 to 4 years duration of illness have better quality of life than those patients having less than 1 year duration of illness. Jufar, Nuguse, & Misgn (2017); Lifson, Grandits, Gardner, Wolff, Pulik, Williams, & Burman (2015); Mannheimer, Matts, Telzak, Chesney, Child, Wu, & Friedland (2005) also verified that quality of life is significantly influenced by duration of illness.…”

Section: Quality Of Lifementioning

confidence: 71%

“…On the other side Tandon & Sharma (2016); Astina, Ahmad, & Budiyanto (2015); Hollywood, Hutchings, & Dasgupta, (2014) reported not significant gender differences in quality of life. Simultaneously Imhonde & Igboanusi (2008); Jufar, Nuguse, & Misgn (2017) also reported that marital status is significantly influences the quality of life. Thereforeon the basis of these finding the third hypothesis "There is significant difference found in patients quality of life based on demographic variables" is also accepted.…”

Section: Quality Of Lifementioning

confidence: 95%

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Social Support, Self-Esteem and Quality of Life among People Living With HIV/AIDS in Jammu & Kashmir India

Wani¹

2020

AN PSICOL-SPAIN

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Background: The cardinal aim of the present study was to assess the level of social support, self esteem and quality of life among people living with HIV/AIDS in Jammu and Kashmir State of India. Further, the study strived to explore the relationship between independent and dependent variables. Method: The study consists a sample of 460 AIDS patients selected through purposive sampling technique, out of them 177 (38.3%) were male, 283 (61.5%) were female patients; 295 (64.1%) were married and 165 (35.9%) were unmarried. Measures included Enriched Social Support Inventory by Mitchell et al., (2003), Rosenberg's Self-Esteem Scale (1965) and Quality of Life Scale by Sharma & Nasreen (2014). For the statistical analysis of data Mean, Standard deviation, Frequency distribution, t-test, one way analysis of variance, correlation analysis and Scheffe’s post hoc test was applied by SPSS 20.0 version. Findings: The findings illustrated that majority of patients have poor social support, lower self-esteem and poor quality of life; also it reveals that patient’s social support, and self-esteem differs by age, occupation, duration of illness, gender, and marital status. However their quality of life differs only by their age, occupation, duration of illness, and marital status. Further the result shows social support and self-esteem are positively correlated with quality of life. Background: The cardinal aim of the present study was to assess the level of social support, self esteem and quality of life among people living with HIV/AIDS in Jammu and Kashmir State of India. Further, the study strived to explore the relationship between independent and dependent variables. Method: The study consists a sample of 460 AIDS patients selected through purposive sampling technique, out of them 177 (38.3%) were male, 283 (61.5%) were female patients; 295 (64.1%) were married and 165 (35.9%) were unmarried. Measures included Enriched Social Support Inventory by Mitchell et al., (2003), Rosenberg's Self-Esteem Scale (1965) and Quality of Life Scale by Sharma & Nasreen (2014). For the statistical analysis of data Mean, Standard deviation, Frequency distribution, t-test, one way analysis of variance, correlation analysis and Scheffe’s post hoc test was applied by SPSS 20.0 version. Findings: The findings illustrated that majority of patients have poor social support, lower self-esteem and poor quality of life; also it reveals that patient’s social support, and self-esteem differs by age, occupation, duration of illness, gender, and marital status. However their quality of life differs only by their age, occupation, duration of illness, and marital status. Further the result shows social support and self-esteem are positively correlated with quality of life.

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Section: Quality Of Lifementioning

confidence: 71%

Section: Quality Of Lifementioning

confidence: 95%

Social Support, Self-Esteem and Quality of Life among People Living With HIV/AIDS in Jammu & Kashmir India

Wani¹

2020

AN PSICOL-SPAIN

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“…Many other studies have found signi cant associations between HRQoL among hypertensive patients and various factors. These factors include the duration of hypertension (having it longer), age (being older), lower sociodemographic status, presence of hypertension-related symptoms, marital status (being divorced), uncontrolled blood pressure, poor treatment adherence, presence of comorbidities (e.g., kidney disease), complications (e.g., hypertensive retinopathy), lack of social support, and gender (being female) [40][41][42][43][44].…”

Section: Discussionmentioning

confidence: 99%

Hypertension, depression, and health-related quality of life among hospitalized patients in Afghanistan

Neyazi,

Timilsina

et al. 2023

Preprint

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Background: In recent decades, hypertension has become the foremost risk factor for disability-adjusted life years (DALYs). The present study investigated the association between hypertension and quality of life, as well as the association between hypertension and depression among hospitalized patients in Afghanistan. Methods: A cross-sectional survey was administered from September 3, 2022, to February 2, 2023, in the Herat and Mazar-e-Sharif provinces of Afghanistan (N=2059). Results: The prevalence of depression symptoms was 65.8%, and hypertension was 20.9%. Multiple regression analysis indicated that moderate physical functioning, poor role-physical, higher bodily pain, poor general health, poor social functioning, lower role-emotional, and poor mental health significantly predicted depression. Multiple regression analysis indicated that moderate quality of life, poor physical functioning, higher bodily pain, lower energy/fatigue, and depression significantly predicted hypertension. Conclusion: The findings of the present study offer valuable insights for healthcare providers, policymakers, and researchers in developing targeted interventions and policies to enhance the well-being of individuals facing the challenges of depression and hypertension. The prevalence of hypertension and depression was high among patients in the Herat and Mazar-e-Sharif provinces of Afghanistan. Patients with hypertension had poor mental and physical quality of life. Hospitals should therefore implement regular screening for depression and offer psychological counseling for vulnerable patients with hypertension.

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“…For instance, a longitudinal study on the determinants of self-rated health among hypertensive patients in Brazil found an association between lower education and poor self-rated health among patients ( 81 ). Similarly, low levels of education were associated with lower quality of life among hypertension patients in Ethiopia ( 82 ). This relationship may be attributed to the fact that schooling increases earnings, which in turn facilitate health investment and improve access to health information and service utilization ( 83 , 84 ).…”

Section: Discussionmentioning

confidence: 99%

Why is there a gap in self-rated health among people with hypertension? A decomposition of determinants and rural‒urban differences

Mweemba

Mutale

Masiye

et al. 2023

Preprint

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Background Hypertension affects over one billion people globally and is one of the leading causes of premature death. The low- and middle-income countries, especially the sub-Saharan Africa region, bear a disproportionately higher share of hypertension globally. Recent evidence shows a steady shift in the burden of hypertension from the more affluent and urban population towards the poorer and rural communities. Our study examined inequalities in self-rated health among people with hypertension and whether there is a rural‒urban gap in the health of these patients. We then quantified factors driving the health gap. We also examined how much HIV accounts for differences in self-rated health among hypertension patients due to the relationship between HIV, hypertension and health in sub-Saharan Africa. Methods We utilized the Zambia Household Health Expenditure and Utilization Survey for the data on SRH and other demographic and socioeconomic controls. District HIV prevalence information was from a previous study. The linear probability model provided a preliminary assessment of the association between self-rated health and independent variables. We then used the Blinder-Oaxaca decomposition to identify self-rated health inequality between urban and rural patients and determine determinants of the health gap between the two groups. Results Advanced age, lower education and low district HIV prevalence were significantly associated with poor health rating among hypertension patients. The decomposition analysis indicated that 45.5% of urban patients and 36.9% of rural patients reported good self-rated health, representing a statistically significant health gap of 8.6%. Most of the identified health gap can be attributed to endowment effects, with education (62%), district HIV prevalence (26%) and household expenditure (12%) being the most important determinants that explain the health gap. Conclusions Urban hypertension patients have better SRH than rural patients in Zambia. Educational interventions, financial protection schemes and strengthening hypertension health services in rural areas can significantly reduce the health gap between the two regions.

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Assessment of Health Related Quality of Life and Associated Factors among Hypertensive Patients on Treatment at Public Hospitals in Mekelle, North Ethiopia

Cited by 7 publications

References 12 publications

Social Support, Self-Esteem and Quality of Life among People Living With HIV/AIDS in Jammu & Kashmir India

Social Support, Self-Esteem and Quality of Life among People Living With HIV/AIDS in Jammu & Kashmir India

Hypertension, depression, and health-related quality of life among hospitalized patients in Afghanistan

Why is there a gap in self-rated health among people with hypertension? A decomposition of determinants and rural‒urban differences

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