scholarly journals Quality of Life - Social Environment Index with Health Status

2010 ◽  
Author(s):  
Keyword(s):  
Quality Of Life ◽  
Health Status ◽  
Social Environment ◽  
Environment Index

scholarly journals Influence of the health status and other contributing factors on quality of life of the older people

2021 ◽  
pp. 33-33
Author(s):  
Zoran Vesic ◽  
Miroslav Brkic ◽  
Jelena Tanasijevic ◽  
Marko Milanovic ◽  
Milica Vukasinovic-Vesic
Keyword(s):  
Quality Of Life ◽  
Health Status ◽  
Older People ◽  
Social Environment ◽  
Economic Status ◽  
Perceived Quality ◽  
Contributing Factors ◽  
Perceived Quality Of Life ◽  
Physical Accessibility

Introduction/Aim: Aim of the study was to investigate influence of the health status as well as other contributing factors on perceived quality of life of the older people in Belgrade. Methods: The survey was conducted in October 2019 on a representative sample of 764 people aged between 65 and 79 years (X = 72.68 ? 7.11), (39.9% male and 60.1% female) living in Belgrade. The research used a questionnaire developed on the basis of the World Health Organization methodology for age friendly cities, aimed to explore 11 areas important for the elderly. Results: Factor of physical accessibility of community is highly significant [?2 (df = 3, n = 764) = 238.905; p < 0.001] and explained 39.4% of variance of perceived quality of life, while socio-economic factors show the same amount of variance, 35.0% [?2 (df = 3, n = 764) = 207.571; p < 0.001]. Social environment explains 24.6% of variance of perceived quality of life [?2 (df = 4, n = 764) = 140.242; p < 0.001]. Health status has greatest explanatory power regarding perceived quality of life and explain as much as 46.7% of variance [?2 (df = 8, n = 764) = 292.083; p < 0.001]. When unique impact of health status on quality of life is analyzed, when other variables are controlled, health status explains 21.6% of variance in addition to variance explained by physical accessibility, socio-economic status and social environment. Conclusion: Although health status has the greatest impact on perceived quality of life of older people, interventions on other life important domains such as physical accessibility, socio-economic status and social environment could have positive impact on perceived quality of life where health status alone could not be improved.

scholarly journals Quality of Life - Social Environment Index

2010 ◽  
Author(s):  
Keyword(s):  
Quality Of Life ◽  
Social Environment ◽  
Environment Index

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.

scholarly journals Characteristics and health status of patients with and without confirmed HFpEF

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C Deaton ◽  
F Forsyth ◽  
J Mant ◽  
D Edwards ◽  
R Hobbs ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Primary Care ◽  
Cohort Study ◽  
Health Status ◽  
Functional Impairment ◽  
Funding Source ◽  
Walk Distance ◽  
Minute Walk Distance ◽  
Minute Walk

Abstract Aims Patients with heart failure with preserved ejection fraction (HFpEF) are usually older and multi-morbid and diagnosis can be challenging. The aims of this cohort study were to confirm diagnosis of HFpEF in patients with possible HFpEF recruited from primary care, to compare characteristics and health status between those with and without HFpEF, and to determine factors associated with health status in patients with HFpEF. Methods Patients with presumed HFpEF were recruited from primary care practices and underwent clinical assessment and diagnostic evaluation as part of a longitudinal cohort study. Health status was measured by Montreal Cognitive Assessment (MOCA), 6-minute walk test, symptoms, and the Kansas City Cardiomyopathy Questionnaire (KCCQ), and quality of life (QoL) by EQ-5D-5L visual analogue scale (VAS). Results 151 patients (mean age 78.5±8.6 years, 40% women, mean EF 56% + 9.4) were recruited and 93 (61.6%) were confirmed HFpEF (those without HFpEF had other HF and cardiac diagnoses). Patients with and without HFpEF did not differ by age, MOCA, blood pressure, heart rate, NYHA class, proportion with atrial fibrillation, Charlson Comorbidity Index, or NT-ProBNP levels. Patients with HFpEF were more likely to be women, overweight or obese, frail, and to be more functionally impaired by 6 minute walk distance and gait speed than those without. Although not statistically significant, patients with HFpEF had clinically significant differences (&gt;5 points) on the physical limitations, symptom burden and clinical summary subscales of the KCCQ, but did not differ by other subscales or by EQ-5D-5L VAS (70±17 vs 73±19, p=0.385). More patients with HFpEF reported daytime dyspnoea (63% vs 46%, p=0.035) and fatigue (81% vs 61%, p=0.008), but not other symptoms compared to those without HFpEF. For both groups BMI was moderately negatively correlated with KCCQ subscale scores, and 6 minute walk distance was positively correlated with KCCQ subscales. Conclusions Nearly 40% were not confirmed as HFpEF indicating the challenges of diagnosis. Patients with confirmed HFpEF differed by sex, overweight/obesity, frailty, functional impairment, and symptoms but not by age or comorbidities from those without HFpEF. These differences were reflected in some subscale scores of the KCCQ, but not how patients reported their quality of life on the KCCQ QoL subscale and EQ-5D-5L VAS. Older patients with HFpEF reported relatively high QoL despite poor health status by functional impairment, frailty and symptoms. Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): National Institute of Health Research School of Primary Care Research

scholarly journals Health status and quality of life among older adults in rural Tanzania

2010 ◽  
Vol 3 (1) ◽  
pp. 2142 ◽  
Author(s):  
MathewA. Mwanyangala ◽  
Charles Mayombana ◽  
Honorathy Urassa ◽  
Jensen Charles ◽  
Chrizostom Mahutanga ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Health Status ◽  
Rural Tanzania
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