Health-related quality of life in European women following myocardial infarction: a cross-sectional study

Predictors of Quality of Life in Patients With Myocardial Infarction Combined With Dyslipidemia

Background: Dyslipidemia is an important risk factor for myocardial infarction (MI). This study aimed to examine the health-related quality of life (HRQoL) and its predictors of patients with MI combined with dyslipidemia in China.

Methods: Information on patients' sociological characteristics, lifestyle, clinical characteristics, and quality of life were collected by electronic medical records and questionnaires. Tobit regression model was used to investigate the predictors of quality of life.

Results: There were 756 patients responded. The average EQ-5D score of all the patients was 0.95 (SD: 0.11). For all patients, factors such as age, high-fat and high-cholesterol diet, sports, family history of dyslipidemia, history of peripheral artery disease significantly affected HRQoL.

Conclusions: Post-discharge care of the elderly group should be paid more attention to and suggestions on the healthy lifestyle (fat control) of the patients should be encouraged to improve the quality of life of these population.

Health-Related Quality of Life Among Myocardial Infarction Survivors: Structural Equation Modeling Approach

BACKGROUND

Myocardial infarction is the fifth leading causes of disability-adjusted life years in low-income countries including Ethiopia. The aim of this study was to construct a hypothetical model to determine the factors affecting the health-related quality of life of myocardial infarction survivors at the cardiac center Ethiopia.

METHODS

A cross-sectional study design was employed, and 421 myocardial infarction patients were enrolled through consecutive sampling technique from the outpatient clinic at the cardiac center of Ethiopia. The World Health Organization Quality of Life-BREF-26 tool was used to assess the problem. It consists of four domains such as physical, psychological, social relationships, and environmental health domains. The structural equation modeling (SEM) analysis was employed using STATA-14 software to examine the relationship between various exogenous and endogenous or mediating variables with overall quality of life.

RESULTS

Psychological, physical, environmental health domains and sex had significant association with health-related quality of life (β=0.708, p<0.001, β= 0.237, p=0.046, β=0.242, p=0.020, and β=0.189, p=0.017, respectively), whereas age had direct, negative association with health-related quality of life (β=-0.007, p=0.026). Residence and level of education were not directly associated with health-related quality of life. Residence indirectly, negatively influenced health-related quality of life (β= -0.379, p<0.001). On the other hand, level of education indirectly, positively affects health-related quality of life (β=i0.133, p<0.001).

CONCLUSION

Psychological health factors had the most substantial causal effect on health-related quality of life, which was larger than the causal effects of physical and environmental health-related factors. Developing and providing comprehensive interventions are necessary to assess and manage psychological, physical, and environmental health factors and to improve the quality of life in myocardial infarction patients.

Predictors of health-related quality of life in korean patients with myocardial infarction: a longitudinal observational study

BACKGROUND

Experience of myocardial infarction (MI) negatively affects different aspects of health-related quality of life (HRQoL).

OBJECTIVES

This study aimed to examine trends in HRQoL of MI patients and to identify demographic, clinical and psychosocial predictors of HRQoL at three months.

METHODS

A total of 150 patients in South Korea were completed the study questionnaires at baseline. After three months from discharge, 136 participants completed follow-up questionnaires, including the Korean version of the MacNew Quality of Life after Myocardial Infarction Questionnaire (MacNew).

RESULTS

HRQoL significantly improved over three months. Younger age, ST-elevation MI, and higher LVEF, lower level of depression, better understanding of the illness and higher perceived social support at baseline were associated with better HRQoL at three months.

CONCLUSION

Providing adequate information about the illness and social support as well as reducing negative psychological experiences in early days after MI may improve HRQoL of MI patients.