Correlation of Quality of Life in the Health Condition of Korean Elderly: Perceived, Physical, Mental Health Status

2015 ◽  
Vol 9 (2) ◽  
pp. 47-56 ◽  
Author(s):  
Soo-Jin Yu ◽  
◽  
Chang-Yeol Kang ◽  
Young-Ran Kim
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Health Status ◽  
Health Condition ◽  
Mental Health Status ◽  
Korean Elderly

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 Socioeconomic Disparity and Depression Among Internal Migrant Workers In Myanmar

2020 ◽  
Vol 18 (3) ◽  
Author(s):  
Yi MS ◽  
Wongsa L ◽  
Kittipong S
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Health Status ◽  
Migrant Workers ◽  
Mental Health Status ◽  
P Value ◽  
Socioeconomic Disparity ◽  
Internal Migrant ◽  
Internal Migrant Workers

Background: Over the past few decades, Myanmar has faced mass internal migration to seek job opportunities and pursue a better life. Migration gives rise to unambiguous stress and depression. This study aimed to assess the magnitude of depression and to identify the association between socioeconomic disparity and depression among migrant workers in Myanmar. Methods and Materials: Cross-sectional study was done among 1,201 migrants in Yangon Region. To assess the socioeconomic status, mental health status, accessibility of health care service and Quality of Life by developing self–administered questionnaire. The Generalized Linear Mixed Model was applied to determine the association between socioeconomic disparity and depression after adjusting for other covariates. Result: Their average age was 31.44 ±10.31 years. Gender distribution was not much different. About one third of respondents were factory workers and had low level of education. The magnitude of depression was 38.22% (95%CI= 35.50-41.00). Regarding the socioeconomic disparity, adequacy of income (AOR= 1.79, 95%CI: 1.35-2.37, p value<0.001) and floor surface area of the houses (AOR= 1.21, 95%CI: 1.00-1.47, p value><0.001) were strongly associated with depression. Moreover, other factors that were associated with depression were stress, quality of life and burden of medical service cost. Conclusion: Two-fifth of internal migrant workers suffered depression. The findings highlighted to develop intervention aimed to improve mental health status among migrants. In order to achieve the sustainable development goals, it is important to make investment on mental health of the migrant workers.> <0.001) were strongly associated with depression. Moreover, other factors that were associated with depression were stress, quality of life and burden of medical service cost. Conclusion: Two-fifth of internal migrant workers suffered depression. The findings highlighted to develop intervention aimed to improve mental health status among migrants. In order to achieve the sustainable development goals, it is important to make investment on mental health of the migrant workers.

scholarly journals An Assessment of Long-Term Physical and Emotional Quality of Life of Persons Injured on 9/11/2001

2019 ◽  
Vol 16 (6) ◽  
pp. 1054 ◽  
Author(s):  
Robert Brackbill ◽  
Howard Alper ◽  
Patricia Frazier ◽  
Lisa Gargano ◽  
Melanie Jacobson ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Health Status ◽  
Physical Health ◽  
Injury Severity ◽  
Mental Health Status ◽  
Physical And Mental Health ◽  
Component Score

Fifteen years after the disaster, the World Trade Center Health Registry (Registry) conducted The Health and Quality of Life Survey (HQoL) assessing physical and mental health status among those who reported sustaining an injury on 11 September 2001 compared with non-injured persons. Summary scores derived from the Short Form-12 served as study outcomes. United States (US) population estimates on the Physical Component Score (PCS-12) and Mental Component Score (MCS-12) were compared with scores from the HQoL and were stratified by Post-traumatic Stress Disorder (PTSD) and injury status. Linear regression models were used to estimate the association between both injury severity and PTSD and PCS-12 and MCS-12 scores. Level of injury severity and PTSD history significantly predicted poorer physical health (mean PCS-12). There was no significant difference between injury severity level and mental health (mean MCS-12). Controlling for other factors, having PTSD symptoms after 9/11 predicted a nearly 10-point difference in mean MCS-12 compared with never having PTSD. Injury severity and PTSD showed additive effects on physical and mental health status. Injury on 9/11 and a PTSD history were each associated with long-term decrements in physical health status. Injury did not predict long-term decrements in one’s mental health status. Although it is unknown whether physical wounds of the injury healed, our results suggest that traumatic injuries appear to have a lasting negative effect on perceived physical functioning.

scholarly journals Mental Health Status and Quality of Life in Undiagnosed Glaucoma Patients

Medicine ◽  
2016 ◽  
Vol 95 (19) ◽  
pp. e3523 ◽  
Author(s):  
Kyoung In Jung ◽  
Chan Kee Park
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Health Status ◽  
Mental Health Status

scholarly journals Mental health status and quality of life among Cambodian migrant workers in Thailand

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 1138
Author(s):  
Pall Chamroen ◽  
Sim Samphors ◽  
Thiwakorn Rachutorn ◽  
Rebecca S. Dewey ◽  
Vong Pisey
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Health Status ◽  
Migrant Workers ◽  
Mental Health Status ◽  
Living Environment ◽  
Influential Factor ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha

Background:  Migrant workers have become a major issue for Thailand. Most of the migrants are from Myanmar, Cambodia, and Laos. Most are employed in jobs referred to as the “3 Ds”; difficult, dangerous and dirty. However, little is known concerning the living and working conditions, or health-related quality of life of these migrant workers. This study aims to determine factors influencing the quality of life of Cambodian migrant workers in Thailand. Methods: A cross-sectional study was conducted among 1,211 Cambodian migrant workers in Thailand, using multistage random sampling from eight districts of the two provinces (Sa Kaeo and Surin) with a structured questionnaire interview. The WHOQOL-BREF was used to measure Quality of Life (QOL) with Cronbach’s alpha of 0.77. Mental health status was assessed using the Perceived Stress Scale (PSS) and Center for Epidemiological Studies-Depression (CES-D) scale with Cronbach’s alpha of 0.83. Descriptive statistics provide participant characteristics. Multilevel logistic regression (MLR) were used to determine which factors significantly impacted the outcome measures in terms of the adjusted odds ratio (AOR). P<0.05 was considered statistically significant. Results: About one third of these migrant workers had a poor quality of life (34.52%; 95%CI: 31.84-37.20), and had moderate-to-high levels of stress (67.96%; 95%CI: 65.33-70.59), and symptoms of depression (69.69%; 95%CI: 67.10-72.29). After controlling other covariate factors, the factors associated with poor QOL were a high level perceived of stress (AOR=3.64; 95%CI: 2.41-5.49; p<0.001); living with family and relatives (AOR=3.63; 95%CI: CI 2.42-5.45; p<0.001); and housing being provided by their employer (AOR=2.66; 95%CI: 1.74-4.08; p<0.001). Conclusion: Stress was strongly associated with QOL. The living environment was found to be the next most influential factor on QOL. Mental health programs aimed at helping migrant workers to cope with stress and to improve their living conditions will help improve QOL in the target group.

Quality of Life, Coping, and Mental Health Status After Living Kidney Donation

2009 ◽  
Vol 41 (5) ◽  
pp. 1483-1488 ◽  
Author(s):  
S. Wiedebusch ◽  
S. Reiermann ◽  
C. Steinke ◽  
F.A. Muthny ◽  
H.J. Pavenstaedt ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Health Status ◽  
Mental Health Status ◽  
Kidney Donation ◽  
Living Kidney Donation
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