scholarly journals Association between social health status and health-related quality of life among community-dwelling elderly in Zhejiang

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Jieming Lu ◽  
Zhebin Yu ◽  
Xiaocong Zhang ◽  
Mengyin Wu ◽  
Shujuan Lin ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Health Status ◽  
Community Dwelling ◽  
Social Health ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

scholarly journals The Association between Physical Frailty and Psycho-Social Health in Determining Geriatric Health-Related Quality of Life in Rural India

2021 ◽  
Author(s):  
Sayani Das ◽  
Susmita Mukhopadhyay ◽  
Barun Mukhopadhyay
Keyword(s):  
Quality Of Life ◽  
Community Dwelling ◽  
Social Health ◽  
Social Characteristics ◽  
Health Related Quality ◽  
Physical Frailty ◽  
Frailty Status ◽  
Related Quality ◽  
Health Related

Abstract The association of physical frailty and psycho-social health is well established. However, it appears no study on the interaction of these conditions in determining the Health-related Quality of Life (HRQoL) has yet been attempted in India. Hence, present study aims to investigate the interaction effects of physical frailty and psycho-social health in determining the HRQoL. A cross-sectional survey was conducted on 500 community-dwelling rural elderly participants from West Bengal, India. The modified Fried’s Frailty instrument was assessed physical frailty status. Psycho-social characteristics investigated were depression, anxiety and stress using the 21-item DASS instrument, loneliness using the UCLA Loneliness instrument, and cognitive function using the Mini-Mental State Examination instrument. HRQoL was assessed by the 36-items Short Form health survey questionnaire. Overall prevalence of frail, pre-frail and non-frail was 26.2%, 60.2%, and 13.6%, respectively. One-way ANOVA highlighted that mean scores of psycho-social traits are significantly differed among different physical frailty status groups (p<0.01). All the elderly participants were clustered with their psycho-social characteristics instrument scores as clustering variables using Hierarchical Cluster Analysis to understand psycho-social health of the participants. Two-way ANCOVA showed significant interaction of physical frailty status (frail, pre-frail and non-frail) and empirically occurring clusters of psycho-social health (low, moderate and good) in determining the overall HRQoL [F(8,491)=8.904,p<0.01]. Thus, our findings suggest that consideration of physical frailty and psycho-social health status will be a prudent approach for a better diagnosis of HRQoL and challenges related to the same.

Mental Health Status and Health-Related Quality of Life among Systemic Lupus Erythematosus (SLE) Patients in Thailand: A Multi-Site Study

2020 ◽  
Vol 103 (11) ◽  
pp. 1185-1193
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Health Status ◽  
Lupus Erythematosus ◽  
Self Esteem ◽  
Mental Health Status ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

Background: The systemic lupus erythematosus (SLE) patients oftentimes suffer from both physical and psychosocial challenges that may lead to low health-related quality of life (HRQoL). However, limited research has been done in this area. Objective: To examined mental health status and HRQoL among SLE patients in Thailand. Materials and Methods: The present study was a cross-sectional study conducted at the rheumatology clinic of four major hospitals in Thailand. The paper-based questionnaire consisted of demographic, health history such as depression, anxiety, stress Scale (DASS-21), and the Rosenberg self-esteem scale (RSE), and the disease-specific Lupus Quality of Life scale (LupusQoL). Depending on the variable’s level of measurement such as categorical or continuous, Spearman’s Rho or Pearson’s product moment correlation coefficients were used to explore the relationships among the variables. Hierarchical multiple regression was used to identify the predictors of LupusQoL. Results: Among the 387 participants, many might have experienced depression, anxiety, and stress (30%, 51%, and 29%, respectively). Self-esteem among the participants was good (31.8 out of 40). All eight domains of LupusQoL were affected with intimate relationship domain being impacted the most. The overall LupusQoL was significantly associated with the number of prescribed medications (r=–0.23), depression (r=–0.70), anxiety (r=–0.58), stress (r=–0.67), and self-esteem (r=0.59), p<0.001. Significant predictors of the overall LupusQoL were mental health status (depression, anxiety, and stress) and self-esteem, F (3, 81)=43.10, p<0.001, adjusted R²=0.60. Conclusion: SLE patients should be holistically assessed in both physical and psychological aspects. In addition to proper medical treatments, healthcare providers should use a multidisciplinary team approach to resolve the patients’ psychosocial issues, which in turn, may increase the patients’ quality of life. Self-care education may be necessary to help the patients manage the condition and decrease the number of medications. Keywords: Mental health, Quality of life, SLE, Thailand

scholarly journals P139 What impact does JIA have on health-related quality of life over time and by gender?

Rheumatology ◽  
2020 ◽  
Vol 59 (Supplement_2) ◽  
Author(s):  
Andrew Smith ◽  
Bishma Saqib ◽  
Rebecca Lee ◽  
Wendy Thomson ◽  
Lis Cordingley
Keyword(s):  
Quality Of Life ◽  
Health Status ◽  
Child Health ◽  
Reference Population ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
Over Time ◽  
Domain Scores

Abstract Background Juvenile idiopathic arthritis (JIA) is a heterogeneous group of arthritic conditions presenting in children and young people, in which physical limitations and associated complications can have detrimental effects on physical and psychosocial wellbeing. This study aims to investigate the impact of living with JIA on different aspects of health-related quality of life (HRQoL) and to explore how this changes over time, using data from the Childhood Arthritis Prospective Study (CAPS). Methods Longitudinal data collected as part of CAPS were analysed. HRQoL was assessed at baseline, 1 year and 3 years’ post-diagnosis using the Child Health Questionnaire (CHQ), a parent-completed form for children from 5 years of age. The CHQ measures physical, emotional and social components of child health status. Raw domain scores were transformed via algorithm into values ranging from 0-100, with higher scores indicating better health status. Mean (standard deviation) and median (interquartile range) for each domain were determined, both for the full cohort and by gender. Differences between median scores at baseline and 3 years were assessed using the Wilcoxon signed-rank test. Mean scores of each domain were visually compared with a reference population sample of healthy children from the United States. Results 184 participants completed the questionnaire at all 3 time points. At baseline, compared to the reference population, children with JIA scored lower in every domain although scores were closer between the 2 groups at 3 years. Median scores improved over time, the exception being the general health perceptions domain which decreased after baseline. Domains with the greatest improvement were physical functioning,“bodily pain and social-physical. The largest changes occurred from baseline to 1 year. Statistically significant differences between baseline and 3-year scores were found for all domains. Domain scores for male and female participants were very similar at baseline, though scores for male participants indicated slightly better health at 1 and 3 years for both physical and psychosocial domains. Conclusion JIA has significant impact on HRQoL, which improves within 3 years of diagnosis with the greatest improvement occurring within the first year. Physical health domains show greater improvement over time than psychosocial domains, although psychosocial scores were generally higher throughout the study. Male participants tend to score slightly higher than female participants in both physical and psychosocial domains after baseline. Further research should explore measurable patient, age or disease-related drivers of HRQoL. Disclosures A. Smith None. B. Saqib None. R. Lee None. W. Thomson None. L. Cordingley None.

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