Psychometric Validation of a General Health Quality of Life Tool for Cats Used to Compare Healthy Cats and Cats with Chronic Kidney Disease

Background: One of the factors influencing the level of general health and quality of life of individuals, is the level of social support that people enjoy. Given the importance of general health, quality of life and the amount of social support and their relationship with the level of physical activity in young people in Yazd province counties were studied. Methods: The study population of this descriptive, cross-sectional study consisted of 15- to 29-year-old people. Given the study population, sample size was calculated for the counties Yazd, Mehriz, Ardakan and Meybod separately. Methods: A total of 1533 people were selected by cluster sampling, and a person aged 15-29 years from each family completed the questionnaire. The questionnaire used, in addition to demographic questions, included three sections general health questionnaire (GHQ-28), Multidimensional Scale of Perceived Social Support, and World Health Organization Quality Of Life Brief (WHOQOL-BREF). The data were analyzed by SPSS18, nonparametric statistical tests and Pearson's correlation. Results: The mean general health score of youth was 30.82 (9.56) and the mean scores of their quality of life and social support were 38.32 (8.67) and 42.64 (7.73), respectively. Mental health, quality of life and social support were significantly associated with education level (P-value ≤ 0.001). The quality of life of young athletes was higher than that of young non-athletes (P-value ≤ 0.001). General health and social support were higher in women than in men (P-value ≤ 0.001). Conclusion: The general health level of Yazd youth is higher than the cut-off point and not optimal, but based on social and cultural conditions in this province, the levels of social support and quality of life were found to be satisfactory. Planning to increase the level of vitality and exercise in different fields can be an opportunity to improve the general health of young people.

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General Health Quality of Life Instruments Underestimate the Impact of Bilateral Cochlear Implantation

Otology & Neurotology ◽

10.1097/mao.0000000000002225 ◽

2019 ◽

Vol 40 (6) ◽

pp. 745-753 ◽

Cited By ~ 2

Author(s):

Theodore R. McRackan ◽

Joshua E. Fabie ◽

Prashant N. Bhenswala ◽

Shaun A. Nguyen ◽

Judy R. Dubno

Keyword(s):

Quality Of Life ◽

Cochlear Implantation ◽

General Health ◽

Health Quality ◽

Health Quality Of Life ◽

The Impact ◽

Quality Of Life Instruments

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Influence of Symptoms, Spirometry and Exercise Tolerance on General Health (‘Quality of Life’) in Chronic Airflow Limitation

Clinical Science ◽

10.1042/cs076036p ◽

1989 ◽

Vol 76 (s20) ◽

pp. 36P-36P

Author(s):

P.W. Jones ◽

CM. Baveystock ◽

P. Littlejohns

Keyword(s):

Quality Of Life ◽

General Health ◽

Exercise Tolerance ◽

Airflow Limitation ◽

Health Quality ◽

Health Quality Of Life

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ASSESSING THE ASSOCIATIONS BETWEEN TYPES OF GREEN SPACE, PHYSICAL ACTIVITY, AND HEALTH INDICATORS USING GIS AND PARTICIPATORY SURVEY

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-annals-iv-4-w4-47-2017 ◽

2017 ◽

Vol IV-4/W4 ◽

pp. 47-54

Author(s):

A. Akpinar

Keyword(s):

Quality Of Life ◽

Physical Activity ◽

Cardiovascular Disease ◽

General Health ◽

Green Space ◽

Disease Prevalence ◽

Green Spaces ◽

Health Quality ◽

Health Quality Of Life

This study explores whether specific types of green spaces (i.e. urban green spaces, forests, agricultural lands, rangelands, and wetlands) are associated with physical activity, quality of life, and cardiovascular disease prevalence. A sample of 8,976 respondents from the Behavioral Risk Factor Surveillance System, conducted in 2006 in Washington State across 291 zip-codes, was analyzed. Measures included physical activity status, quality of life, and cardiovascular disease prevalence (i.e. heart attack, angina, and stroke). Percentage of green spaces was derived from the National Land Cover Dataset and measured with Geographical Information System. Multilevel regression analyses were conducted to analyze the data while controlling for age, sex, race, weight, marital status, occupation, income, education level, and zip-code population and socio-economic situation. Regression results reveal that no green space types were associated with physical activity, quality of life, and cardiovascular disease prevalence. On the other hand, the analysis shows that physical activity was associated with general health, quality of life, and cardiovascular disease prevalence. The findings suggest that other factors such as size, structure and distribution (sprawled or concentrated, large or small), quality, and characteristics of green space might be important in general health, quality of life, and cardiovascular disease prevalence rather than green space types. Therefore, further investigations are needed.

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To assess the quality of life in patients with chronic kidney disease undergoing hemodialysis at a satellite clinic, comparing patients from a median low-income household with patients from median middle- and upper-income households: cross-sectional study

10.21203/rs.2.19931/v1 ◽

2020 ◽

Author(s):

UBIRACE FERNANDO ELIHIMAS JUNIOR ◽

Marília Costa Aranha Forte ◽

Alexandre Holanda Cavalcanti Pinto ◽

Eduardo Eriko Tenório de França ◽

Jamila Pinho Couto ◽

...

Keyword(s):

Quality Of Life ◽

Chronic Kidney Disease ◽

Kidney Disease ◽

Low Income ◽

Physical Functioning ◽

General Health ◽

Positive Association ◽

Hemodialysis Treatment ◽

Sf 36

Abstract Background: Chronic kidney disease is a financial challenge for global public health due to rising costs, a poorer quality of life. Globally, there has been an increase in the number of diabetic, hypertensive and obese patients, with a tendency to rise as life expectancy increases. Objective: To assess the quality of life of patients with chronic kidney disease on hemodialysis at a satellite clinic in Recife, Northeast Brazil, and comparing low-income patients funded by the national healthcare system with middle- and higher-income patients funded by private health insurance. Methods: The Medical Outcomes Study Questionnaire Short Form 36 Health Survey (SF-36) was applied, together with a complementary interview with socio-demographic data for all patients at a conventional hemodialysis clinic. All patients were submitted to the same hemodialysis protocol, 4 hours and 10 minutes, high flow biocompatible membranes with high mass transfer coefficient and an adequacy of Kt/V ≥1.2. Results: The poorest quality of life scores with the SF-36 were related to physical functioning and pain. The best scores were attributed to mental health, social functioning, general health and vitality with no differences between the household incomes. There was a positive association between education, role-emotional and physical functioning. Longer hemodialysis treatment times demonstrated a positive association with aspects of general health. Patients who had undergone hemodialysis between one and five years presented better quality of life scores with the SF-36. Conclusions: Hemodialysis treatment negatively influences the quality of life of patients with chronic kidney disease. Education seems to help patients to better understand and accept treatment, by raising the scores of the physical functioning and role-physical. The first year of hemodialysis seems to exert a more negative influence on the quality of life. Among all patients, pain and physical aspects seem to be the critical points, regardless of social class or income.

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