Factors associated with health-related quality of life (HRQoL): differential patterns depending on age

Zhong

Front. Cardiovasc. Med.

et al. 2021

Background: The level of medication literacy is very important to control symptoms and improve the prognosis of patients with coronary heart disease (CHD). The positive role of social support is able to promote patient health outcomes. However, few studies have addressed the association between social support and medication literacy in patients with CHD. The purpose of this study is to investigate the status of medication literacy and social support, and confirm the association between them in patients with CHD.Methods: This cross-sectional study investigated 416 participants, and was conducted in a grade a hospital in China. Three different survey instruments were applied: The Demographic Characteristics Questionnaire, the Chinese Version of the Medication Literacy Scale, and the Social Support Rating Scale. Pearson correlation analysis and ordinal logistic regression analysis were performed to analyze data.Results: The results showed that the mean score of medication literacy among the 416 participants was 4.96 ± 4.68, 48.8% (203) participants with inadequate medication literacy. The independent determinants of medication literacy include gender, education level, course of disease, number of medicines, and subjective support in social support. The mean score of social support was 41.05 ± 6.16. The Pearson correlation analysis indicated that social support was positively correlated with medication literacy (r = 0.398, P < 0.01).Conclusion: The study shows that the level of medication literacy and social support for patients with CHD are inadequate. Social support levels could have a positive effect on medication literacy of patients.

Section: Introductionmentioning

confidence: 99%

Association Between Social Support and Medication Literacy in Chinese Patients With Coronary Heart Disease

Zhong

Front. Cardiovasc. Med.

et al. 2021

“…With the growing number of older people, a surge in the prevalence and incidence of age-associated diseases is inevitable [ 2 ]. In addition, older people often more frequently experience poor functional health and are more vulnerable to diseases [ 3 ]; hence, the quality of life of the geriatric population is raising increased concern.…”

Section: Backgroundsmentioning

confidence: 99%

The association between diabetes mellitus and HRQoL of older people in Shanghai

et al. 2021

Background This study aimed to explore the association between diabetes mellitus and health-related quality of life (HRQoL) of older people in Shanghai, China, especially regarding the differences in each aspect of the EQ-5D and how large the score gaps are between older people with and without diabetes. Methods A total of 11,103 people of either sex older than 60 years were enrolled from 17 districts of Shanghai. The EQ-5D-3L was used to assess the HRQoL of older people. The Wilcoxon rank sum test and t-test were used to compare the difference in HRQoL between people with or without diabetes. After univariate regression, multiple linear regression and ordinal logistic regression were conducted to evaluate the influence of diabetes mellitus and other confounding variables on the EQ VAS scores and on the five dimensions of the EQ-5D. Results Twelve percent of all participants had diabetes mellitus, and the proportion was almost the same between men and women. The EQ VAS scores of people with diabetes mellitus were approximately 3.70 points lower than those of people without diabetes (95% CI = -4.40, -2.99, p < 0.001) after adjusting for confounding variables. People with diabetes mellitus had increased problems with mobility (OR = 1.57, 95% CI = 1.33, 1.85), self-care (OR = 1.65, 95% CI = 1.35, 2.01), usual activities (OR = 1.78, 95% CI = 1.51, 2.11), pain/discomfort (OR = 1.42, 95% CI = 1.24, 1.64), and anxiety/depression (OR = 1.33, 95% CI = 1.07, 1.64). Conclusions This study showed that diabetes mellitus was associated with the HRQoL of older people and that older people with diabetes had poorer performance in every aspect of EQ-5D measurements.

“…[8,9] Health-Related Quality of Life is a subjective and multidimensional concept that assesses an individual's physical, mental, and social function and well-being. [10,11] This concept helps quantify how the patient's physical or mental conditions limit their daily living, social experiences, and mental wellbeing. [10,11] The inclusion of HRQoL data has proven to increase the accuracy of survival prognostication.…”

Section: Introductionmentioning

confidence: 99%

“…[10,11] This concept helps quantify how the patient's physical or mental conditions limit their daily living, social experiences, and mental wellbeing. [10,11] The inclusion of HRQoL data has proven to increase the accuracy of survival prognostication. [8] Patients with higher HRQoL have been found to have lower mortality risk compared to those with the same health condition and lower HRQoL.…”

Section: Introductionmentioning

confidence: 99%

Factors associated with Health-Related Quality of Life in Hispanic population with mental disorders using medical expenditure panel survey 2013-2017

Cho

Medina

Falcon

et al. 2021

JHA

There is a lack of U.S. population-based research surrounding the marked decrease in health-related quality of life (HRQoL) caused by the morbidity of mental disorders in the U.S. Hispanic demographic. This cross-sectional study utilized data from the 2013-2017 Medical Expenditure Panel Survey (MEPS) to identify Hispanic community-dwelling residents with mental disorders in the U.S. The independent variable was the presence of mental disorders, and the dependent variable was HRQoL. HRQoL was measured with the Short Form 12 (SF-12) Physical Health Composite Scale (PCS) and Mental Health Composite Scale (MCS). A total of 34,434 patients met the inclusion criteria, representing about 38,683,299 Hispanic individuals. Of this group, those older than 18 were stratified by the presence of mental disorders. The two groups were those with mental disorders: 4,122 individuals representing a sample size of 4,789,634; and those without mental disorders: 30,312 individuals representing a sample size of 33,893,665. Based on our study, Hispanic patients with mental disorders were associated with lower HRQoL scores. SF-12 PCS scores (95% CI) were 45.3 (44.5, 46.1) for those with mental disorders and 50.8 (50.5, 51.0) for those without mental disorders. SF-12 MCS scores (95% CI) were 42.6 (42, 43.3) in patients with mental disorders and 52.6 (52.3, 52.8) in patients without mental disorders. These differences in scores denote the impact of mental health disorders on HRQoL scores in the Hispanic demographic and mark the way for further research on identifying means of improving such scores for Hispanic patients.