BibTex Citation Data :
@article{NMJN54735, author = {Dang Thi Han Ny and Le An and La Thanh Hai and Pham Van Quan}, title = {Factors Affecting Quality of Life in Hypertensive Patients: A Cross-Sectional Study in Hue, Vietnam}, journal = {Nurse Media Journal of Nursing}, volume = {14}, number = {3}, year = {2025}, keywords = {Hypertension; quality of life; WHOQOL-BREF}, abstract = { Background: Hypertension is a common chronic condition that leads to serious complications and negatively affects patients' quality of life (QoL). Therefore, improving hypertension management has become an important goal in patient care and disease management. Purpose: This study aimed to evaluate the sociodemographic factors influencing the quality of life of hypertensive patients in Hue, Vietnam. Methods: This study was conducted from May 2020 to July 2021. The study involved 172 hypertensive patients receiving treatment at the Internal Medicine Department in Hue, Vietnam. The study design was cross-sectional. Descriptive statistics were used to examine the mean QoL scores. The WHOQOL-BREF scale was used to assess patients' QoL. Independent t-tests and ANOVA were used to examine differences among sociodemographic factors across the WHOQOL-BREF domains (physical health, psychological health, social relationships, and environmental health). Linear regression analysis was applied to determine the association between QoL domains and independent variables. Results: A total of 172 hypertensive patients participated in the study. The results showed that 93.6% of patients had a moderate level of QoL. Multivariate linear regression analysis revealed that age, economic status, and physical activity were positively associated with three QoL domains: physical health, psychological health, and environmental health. However, place of residence was negatively associated with the environmental domain (95% CI = -5.64; -0.97), and the presence of comorbidities was negatively associated with three domains: physical health (95% CI = -7.76; -2.00), psychological health (95% CI = -6.47; -0.64), and environmental health (95% CI = -4.84; -0.07). Conclusion: The findings of this study suggest that younger age, a moderate to high economic status, and engagement in regular physical activity are positively associated with higher QoL scores. Conversely, residing in rural areas and the presence of comorbid conditions are negatively associated with QoL. These results underscore the need for targeted and context-specific interventions aimed at enhancing the quality of life in individuals living with hypertension. }, issn = {2406-8799}, doi = {10.14710/nmjn.v14i3.54735}, url = {https://ejournal.undip.ac.id/index.php/medianers/article/view/54735} }
Refworks Citation Data :
Background: Hypertension is a common chronic condition that leads to serious complications and negatively affects patients' quality of life (QoL). Therefore, improving hypertension management has become an important goal in patient care and disease management.
Purpose: This study aimed to evaluate the sociodemographic factors influencing the quality of life of hypertensive patients in Hue, Vietnam.
Methods: This study was conducted from May 2020 to July 2021. The study involved 172 hypertensive patients receiving treatment at the Internal Medicine Department in Hue, Vietnam. The study design was cross-sectional. Descriptive statistics were used to examine the mean QoL scores. The WHOQOL-BREF scale was used to assess patients' QoL. Independent t-tests and ANOVA were used to examine differences among sociodemographic factors across the WHOQOL-BREF domains (physical health, psychological health, social relationships, and environmental health). Linear regression analysis was applied to determine the association between QoL domains and independent variables.
Results: A total of 172 hypertensive patients participated in the study. The results showed that 93.6% of patients had a moderate level of QoL. Multivariate linear regression analysis revealed that age, economic status, and physical activity were positively associated with three QoL domains: physical health, psychological health, and environmental health. However, place of residence was negatively associated with the environmental domain (95% CI = -5.64; -0.97), and the presence of comorbidities was negatively associated with three domains: physical health (95% CI = -7.76; -2.00), psychological health (95% CI = -6.47; -0.64), and environmental health (95% CI = -4.84; -0.07).
Conclusion: The findings of this study suggest that younger age, a moderate to high economic status, and engagement in regular physical activity are positively associated with higher QoL scores. Conversely, residing in rural areas and the presence of comorbid conditions are negatively associated with QoL. These results underscore the need for targeted and context-specific interventions aimed at enhancing the quality of life in individuals living with hypertension.
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