NUTRITIONAL STATUS, HABITUAL PHYSICAL ACTIVITY AND QUALITY OF LIFE IN PATIENTS RECEIVING CHRONIC PERITONEAL DIALYSIS.

1998 ◽  
Vol 30 (Supplement) ◽  
pp. 160
Author(s):  
P. F. Naish ◽  
T. H. Mercer ◽  
J. Wilcock ◽  
A. Griffiths ◽  
J. Hine
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Peritoneal Dialysis ◽  
Nutritional Status ◽  
Habitual Physical Activity ◽  
Chronic Peritoneal Dialysis

scholarly journals Physical Activity and Quality of Life in Hemodialysis Patients and Healthy Controls: A Cross-Sectional Study

2021 ◽  
Vol 18 (4) ◽  
pp. 1978
Author(s):  
Tjaša Filipčič ◽  
Špela Bogataj ◽  
Jernej Pajek ◽  
Maja Pajek
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Everyday Life ◽  
Habitual Physical Activity ◽  
Healthy Controls ◽  
Age And Gender ◽  
Comorbidity Score ◽  
Sf 36 ◽  
And Gender

Hemodialysis (HD) patients have lower functional abilities compared to healthy people, and this is associated with lower physical activity in everyday life. This may affect their quality of life, but research on this topic is limited. Therefore, the present study aimed to determine the relationship between habitual physical activity and quality of life in HD patients and healthy controls. Ninety-three HD patients and 140 controls participated in the study. Quality of life was assessed using a 36-item medical outcomes study short-form health survey (SF-36). Human Activity Profile (HAP) was used to assess habitual physical activity. The adjusted activity score (AAS) from HAP, age, gender, fat tissue index (FTI), lean tissue index (LTI), and Davies comorbidity score were analyzed as possible predictors of the Physical Component Summary (PCS) of the SF-36. Three sequential linear models were used to model PCS. In Model 1, PCS was regressed by gender and age; in Model 2 the LTI, FTI, and Davies comorbidity scores were added. Model 3 also included AAS. After controlling for age and gender (ModelHD 1: p = 0.056), LTI, FTI, and Davies comorbidity score effects (ModelHD 2: p = 0.181), the AAS accounted for 32% of the variation in PCS of HD patients (ModelHD 3: p < 0.001). Consequently, the PCS of HD patients would increase by 0.431 points if the AAS increased by one point. However, in healthy controls, AAS had a lower impact than in the HD sample (B = 0.359 vs. 0.431), while the corresponding effects of age and gender (ModelH 1: p < 0.001), LTI, FTI, and Davies comorbidity score (ModelH 2: p < 0.001) were adjusted for. The proportion of variation in PCS attributed to AAS was 14.9% (ModelH 3: p < 0.001). The current study results showed that physical activity in everyday life as measured by the HAP questionnaire is associated to a higher degree with the quality of life of HD patients than in healthy subjects. Routine physical activity programs are therefore highly justified, and the nephrology community should play a leading role in this effort.

scholarly journals A cross-sectional study analysing the association between habitual physical activity levels and quality of life in adults with asthma

2015 ◽  
Vol 7 (1) ◽  
pp. 29-41
Author(s):  
ADEEL NAZIR AHMAD ◽  
KIMBERLEY L. EDWARDS
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Positive Association ◽  
Habitual Physical Activity ◽  
Activity Levels ◽  
Cross Sectional ◽  
Physical Activity Guidelines ◽  
Life Score ◽  
Physical Activity Levels

Background: People with asthma believe their condition prevents them from undertaking physical activity. The objective was to determine the association between habitual physical activity levels and the quality of life in adults with asthma and meeting the physical activity guidelines. Material/Methods: A cross-sectional survey of adults (aged >18) with asthma was conducted in three general practices in Nottingham, UK (n = 128). A self-reported short form International Physical Activity Questionnaire, mini Asthma Quality of Life Questionnaire and a demographic questionnaire (age, gender, ethnicity and BMI) were used to collect data. Physical activity was provided in minutes for different activities to enable the habitual weekly MET-minutes to be calculated, and the quality of life score was determined. Results: Among 128 respondents, 22% met the physical activity guidelines. Mostly younger, white, male, normal weight participants had higher physical activity levels and better asthma quality of life. Mean total asthma quality of life score was 4.5. Linear regression modelling showed a positive association between the total physical activity and the quality of life score (p < 0.001); thus higher physical activity levels were associated with less/no asthma quality of life impairment (higher score). Conclusions: The majority of asthmatics in this study had low physical activity levels, did not meet the recommended physical activity guidelines and had impaired quality of life. A strong positive association between physical activity and asthma quality of life supports the view that adults with asthma should be encouraged to be sufficiently physically active, which could be associated with a better asthma related quality of life.

scholarly journals Assessment of energy expenditure in individuals with post-poliomyelitis syndrome

2017 ◽  
Vol 75 (3) ◽  
pp. 147-152
Author(s):  
Roberto Dias Batista Pereira ◽  
Tatiana Mesquita e Silva ◽  
Abrahão Augusto Juviniano Quadros ◽  
Marco Orsini ◽  
Beny Schmidt ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Energy Expenditure ◽  
Fatigue Severity Scale ◽  
Habitual Physical Activity ◽  
Control Group ◽  
Occupational Physical Activity ◽  
Severity Scale ◽  
Fatigue Severity

ABSTRACT The objective of this study was to identify energy expenditure, retrospectively, in individuals with post-poliomyelitis syndrome (PPS) in the Brazilian population. Methods The Baecke questionnaire for the evaluation of habitual physical activity (HPA), assessment of quality of life (WHOQOL-Bref), and the Fatigue Severity Scale were administered to patients with PPS, poliomyelitis sequelae (PS) and to a control group (CG). Participated in the study 116 individuals (PPS=52,PS= 28,CG=36). Results Patients with PPS tended to increase their HPA from 10 to 20 years of age, compared with those in the PS group and the CG. In the period from 21 to 30 years of age, there was significant increase in the PPS group’s occupational physical activity compared to the PS group, and the occupational physical activity (21-30 years of age) correlated with the onset of symptoms of PPS. Conclusion Patients with PPS had a higher energy expenditure during life, especially in occupational physical activity at ages 21-30 years, suggesting this decade is critical for the development of PPS.

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