The Relationship Between Ultrasonographic Findings With Womac Osteoarthritis and Index index and EQ-5D Quality of Life Scale in Patients with Kneeosteoarthritis

The aim of this study was to analyze athletes’ quality of life during the COVID-19 pandemic. The study involved 249 athletes between 15 and 35 of age, M = 21.22, SD = 5.12. The sample was composed of eight Olympic Games medalists, three European medalists, 67 international medalists, and 63 national medalists. The instruments used were: (1) COVID-19 Anxiety Scale, (2) Athlete Quality of Life Scale, (3) Impact of Pandemic on Athletes Questionnaire, and (4) International Personality Item Pool (IPIP Anxiety, Depression, and Vulnerability Scales). The results indicate significant differences in COVID-19 anxiety depending on the sport practiced, F (9239) = 3.81, p < 0.01, showing that there were significant differences between sports. The negative impact of the COVID-19 pandemic mediates the relationship between trait anxiety and the athletes’ quality of life. The percentage of mediation was 33.9%, and the indirect effect was −0.11, CI 95% (−0.18, −0.03), Z = −2.82, p < 0.01. Trait anxiety has an increasing effect on the intensity of the negative impact of the COVID-19 pandemic, 0.23, CI 95% (.10, 0.35), Z = 3.56, p < 0.01, and the negative impact of the COVID-19 pandemic has a decreasing effect on quality of life, −0.47, CI 95% (−0.67, −0.27), Z = −4.62, p < 0.01. Gender and age did not moderate the relationship between the negative impact of COVID-19 and athletes’ quality of life. The results of the study highlighted the impact that social isolation and quarantine have on athletes’ affective well-being.

Download Full-text

The relationship of symptoms and level of functioning in schizophrenia to general wellbeing and the Quality of Life Scale

Acta Psychiatrica Scandinavica ◽

10.1034/j.1600-0447.2000.102004303.x ◽

2000 ◽

Vol 102 (4) ◽

pp. 303-309 ◽

Cited By ~ 138

Author(s):

Ross M.G. Norman ◽

Ashok K. Malla ◽

Terry McLean ◽

L. Panth N. Voruganti ◽

Leonard Cortese ◽

...

Keyword(s):

Quality Of Life ◽

Level Of Functioning ◽

Quality Of Life Scale ◽

Life Scale ◽

Relationship Of ◽

The Relationship ◽

General Wellbeing

Download Full-text

Life quality of 9-11 year-old children: Family functionality and demographic variables

Pegem Eğitim ve Öğretim Dergisi ◽

10.14527/pegegog.2020.023 ◽

2020 ◽

Vol 10 (3) ◽

pp. 697-724

Author(s):

Zeynep Çihangir Çankaya ◽

Tuğba Tümer

Keyword(s):

Quality Of Life ◽

Family Relationships ◽

Primary Schools ◽

Family Relationship ◽

Life Quality ◽

Quality Of Life Scale ◽

Life Scale ◽

The Relationship ◽

Academic Year

In this study, the relationship between the quality of life levels of children aged 9-11 and their perception of family functions and some demographic characteristics was investigated. The sample of the study included six primary schools and six secondary schools in the central districts of a metropolitan city located in the west of Turkey in the 2017-2018 academic year. Participants were 783 children, 396 girls and 387 boys. Multiple regression analysis was used to analyze the data collected by using the General Quality of Life Scale for Children and Family Relationship Scale for Children. The results of the analysis showed that supportive and discouraging family relationships scores significantly predicted the quality of life of the children and explained 35.80% of change in their quality of life. In addition, the predictive power of supporting family relationships (28.70%) was significantly higher than that of the discouraging family relationships (-7.10%) in explaining children’s quality of life. Gender, age and number of siblings were not significantly correlated with life quality of children.

Download Full-text

Abstract TP144: The Relationship Between Gait Speed and Self-Reported Quality of Life in Stroke Survivors After Treatment With a Therapeutic Gait Device

Stroke ◽

10.1161/str.51.suppl_1.tp144 ◽

2020 ◽

Vol 51 (Suppl_1) ◽

Author(s):

Brianne Darcy ◽

Lauren Rashford ◽

Elizabeth Lundin ◽

Ryan Medas ◽

Stephen T Shultz ◽

...

Keyword(s):

Quality Of Life ◽

Gait Speed ◽

Stroke Survivors ◽

Walking Ability ◽

Quality Of Life Scale ◽

Life Scale ◽

The Mean ◽

The Relationship

Introduction: In stroke survivors, variables associated with lower quality of life (QOL) include hemiplegia, lower functional status, degree of walking ability, speed of gait, and overall walking dysfunction. The iStride TM Gait Solution, a home-use gait treatment device, has been shown to improve gait speed and other functional parameters in stroke survivors. This analysis discusses the relationship found between gait speed parameters and self-reported QOL after treatment with the iStride TM Gait Solution. Methods: Nineteen subjects were treated with the iStride TM device in their home environment for a targeted 12 sessions over four weeks. QOL was measured using the Stroke Specific Quality of Life Scale (SS-QOL) and gait speed was measured using the 10 Meter Walk Test (10MWT) at comfortable pace. Outcome measures were assessed at baseline and one-week post-treatment. Results: Results showed a statistically significant improvement from baseline to one-week follow-up for 10MWT (p=0.0001) and SS-QOL (p=0.007). The relationship between these variables appeared to be more dependent on the % improvement of gait speed and the ending gait speed being above the mean baseline speed (0.575 m/s) than the absolute improvement in gait speed. For example, subjects starting below the mean gait speed improved 23 points (14.8%) on SS-QOL (gait speed improvement = 0.22m/s) compared to 11.7 points (8%) on SS-QOL (gait speed improvement = 0.33 m/s). In addition, subjects that improved from the home ambulator category to limited community ambulator improved an average of 15.3 points (10.2%) on SS-QOL while subjects improving from limited community ambulator to full community ambulator improved only 4.8 points (4.6%) SS-QOL, despite a 0.16 m/s larger gait speed improvement. Conclusions: The results of this analysis indicate that larger gains in QOL may be achieved by focusing on patients reaching a gait speed above approximately 0.575 m/s. Our findings also support the importance of helping home ambulator stroke survivors achieve limited community ambulator status. These findings may guide clinicians who desire to improve the QOL of their patients to select effective treatment methods targeting gait speed improvement.

Download Full-text

The relationship between quality of working life and professional behaviour for nurses working in a university hospita

New Trends and Issues Proceedings on Advances Pure and Applied Sciences ◽

10.18844/gjpaas.v0i10.3741 ◽

2018 ◽

pp. 26-37

Author(s):

Sevil Masat ◽

Tugba Cinarli ◽

Asuman Sener ◽

Tugba Kavalali Erdogan ◽

Gulhan Simsit ◽

...

Keyword(s):

Quality Of Life ◽

University Hospital ◽

Professional Quality Of Life ◽

Professional Attitude ◽

Professional Quality ◽

Attitude Inventory ◽

Quality Of Life Scale ◽

Life Scale ◽

The Relationship

This study was a descriptive study aimed to determine the relationship between nurses’ professional quality of work life and professional attitudes. The ability of nurses to work efficiently and productively depends on the development of a qualified environment that will support their professional practices. A descriptive cross-sectional study was carried out with 165 nurses working in a university hospital in the city of Samsun between 15 July and 15 August 2017. The total score average of the Nurses’ Quality of Life Scale was found to be 105.9 ± 7.5 and the median score of Professional Attitude Inventory was found to be 118 (76–159). A statistically significant relationship was found between some socio-demographic and working characteristics of the nurses, the Professional Quality of Life Scale and Professional Attitude Inventory scores (p < 0.05). The findings show that there is no relationship between nurses’ quality of professional life and their professional attitudes.Keywords: Nurse, professional quality of life, professional attitude.

Download Full-text

Psychological resilience and quality of life amongst people with psychotic illnesses

European Psychiatry ◽

10.1016/j.eurpsy.2017.01.1605 ◽

2017 ◽

Vol 41 (S1) ◽

pp. s822-s822 ◽

Cited By ~ 1

Author(s):

G. McCarthy ◽

A. Liston ◽

D. Adamis

Keyword(s):

Quality Of Life ◽

Family Member ◽

Bipolar Affective Disorder ◽

Psychological Resilience ◽

Drug Induced ◽

Quality Of Life Scale ◽

Life Scale ◽

Competing Interest ◽

The Relationship

IntroductionPsychological resilience is defined as an individual's ability to adapt to stress and adversity. People with psychotic illness often experience high levels of distress and difficulties adapting.AimsTo assess the relationship between the resilience of people with psychotic illnesses and their quality of life.MethodologyOutpatients from multiple settings attending Sligo-Leitrim Mental Health Services, aged 18+ years old with a diagnosis of either schizophrenia, bipolar affective disorder or schizoaffective disorder were approached by their treating teams and invited to participate. Other inclusion criteria were having a family member. Drug induced psychoses or no family member were exclusion criteria. The scales used were the Resilience Appraisal Scale and the schizophrenia Quality of Life Scale. This study is part of a larger study looking at family factors and psychosis.ResultsThe study sample was 58 enrolled but only 49 participants completed the 2 assessments, of these 33 were males (67.3%). Data was analysed using SPSS 21. Pearson's correlation coefficient for resilience and quality of life was 0.503, P < 0.001. This shows that higher resilience is associated with better quality of life amongst people with psychotic illnesses. These results could have useful clinical implications. If we can intervene to therapeutically increase resilience, we can eventually improve the quality of life of people with psychoses.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Download Full-text