Factors Affecting the Quality of Life in Hypertensive Patients: A Cross-Sectional Study in Hue, Vietnam
Dublin Core
Title
Factors Affecting the Quality of Life in Hypertensive Patients: A Cross-Sectional Study in Hue, Vietnam
Subject
Hypertension; quality of life; WHOQOL-BREF
Description
Background: Hypertension is a common chronic condition that leads to serious
complications and negatively affects patients’ quality of life (QoL). Therefore,
improving hypertension management and understanding factors that influence QoL
has become an important goal in patient care. However, in Hue, Vietnam, no
research has been conducted to evaluate how sociodemographic factors affect the
QoL of hypertensive patients.
Purpose: This study aimed to evaluate the sociodemographic factors influencing
the quality of life of hypertensive patients in Hue, Vietnam.
Methods: This cross-sectional study was conducted among 172 hypertensive
patients receiving treatment at the Internal Medicine Department in Hue, Vietnam.
Given the limited timeframe and research resources, convenience sampling was
employed to facilitate rapid and effective participant recruitment. Descriptive
statistics were used to examine the mean quality of life (QoL) scores, which were
assessed using the WHOQOL-BREF scale. Independent t-tests and ANOVA were
performed to analyze differences in QoL across sociodemographic factors within the
four WHOQOL-BREF domains: physical health, psychological health, social
relationships, and environmental health. Linear regression analysis was applied to
identify associations between QoL domains and the independent variables.
Results: 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,
psychological, and environmental health. However, place of residence was
negatively associated with the environmental domain (95% CI = -5.64, -0.97), and
the presence of comorbidity 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 having
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.
complications and negatively affects patients’ quality of life (QoL). Therefore,
improving hypertension management and understanding factors that influence QoL
has become an important goal in patient care. However, in Hue, Vietnam, no
research has been conducted to evaluate how sociodemographic factors affect the
QoL of hypertensive patients.
Purpose: This study aimed to evaluate the sociodemographic factors influencing
the quality of life of hypertensive patients in Hue, Vietnam.
Methods: This cross-sectional study was conducted among 172 hypertensive
patients receiving treatment at the Internal Medicine Department in Hue, Vietnam.
Given the limited timeframe and research resources, convenience sampling was
employed to facilitate rapid and effective participant recruitment. Descriptive
statistics were used to examine the mean quality of life (QoL) scores, which were
assessed using the WHOQOL-BREF scale. Independent t-tests and ANOVA were
performed to analyze differences in QoL across sociodemographic factors within the
four WHOQOL-BREF domains: physical health, psychological health, social
relationships, and environmental health. Linear regression analysis was applied to
identify associations between QoL domains and the independent variables.
Results: 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,
psychological, and environmental health. However, place of residence was
negatively associated with the environmental domain (95% CI = -5.64, -0.97), and
the presence of comorbidity 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 having
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.
Creator
Dang Thi Han Ny1
, Le Van An2, La Thanh Hai1
, Pham Van Quan1
, Le Van An2, La Thanh Hai1
, Pham Van Quan1
Source
https://doi.org/10.14710/nmjn.v14i3.54735
Date
19 April 2025
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Dang Thi Han Ny1
, Le Van An2, La Thanh Hai1
, Pham Van Quan1, “Factors Affecting the Quality of Life in Hypertensive Patients: A Cross-Sectional Study in Hue, Vietnam,” Repository Horizon University Indonesia, accessed February 21, 2026, https://repository.horizon.ac.id/items/show/11282.