Abstract P234: Associations of Clinical Characteristics and Health-related Behaviors With Physical Activity Levels in Stage B Heart Failure Patients

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Maira Tristao Parra ◽  
Meredith A Pung ◽  
Kathleen Wilson ◽  
Christopher Pruitt ◽  
Barry H Greenberg ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Failure ◽  
Clinical Characteristics ◽  
Well Being ◽  
Physically Active ◽  
Heart Failure Patients ◽  
Health Related Behaviors ◽  
Health Related ◽  
Active Patients

Hypothesis: insufficiently active heart failure patients will report poorer QoL, more fatigue and depressive mood compared to active patients. Aims: To characterize clinical characteristics and health-related behaviors according to physical activity (PA). Also, to explore predicting factors of quality of life (QoL). Methods: Cross-sectional analysis of a cohort of Stage B HF patients. PA classification was set as active, moderately active or insufficiently active, according to the LTEQ questionnaire. For QoL, the SF-36 questionnaire was used. ANOVAS, Chi-Square tests or likelihood ratios and unadjusted multiple regression models were calculated. Significance was set at p ≤ 0.05. Results: In this cohort, 277 HF patients completed the PA questionnaire. The prevalence of active patients was higher than moderately active and insufficiently active (53.3% vs 15.2% and 29.6%), respectively. Younger age (p = 0.044), lower waist circumference (WC) (p = 0.002), and lower waist-to-hip ratio (p = 0.046) were associated with being active. The prevalence of Type II diabetes mellitus (T2DM) in the active groups was significantly lower (p = 0.001). Physically active groups had cases of mild LV enlargement (1.4% and 7.5%, respectively), while no cases were observed among insufficiently active patients (p = 0.017). PA was positively associated with less fatigue (p= 0.002), more vigor (p = 0.001), more self-efficacy (p < 0.001), and better quality of life (p = 0.002). Patients who were less physically active had more inflammation (CRP, p = 0.015; IL-6, p <0.001; TNF-α: p = 0.033, and IL-1ra, p = 0.001). WC (β =-0.16, p = 0.008), glucose (β =-0.12, p < 0.001) and fatigue (β = - 0.39, p < 0.001) predicted general health perception (R 2 = 0.449). For physical functioning (high scores reflects performing PA without limitations due to health), WC (β = - 0.28, p = 0.001), sleep (β = - 1.50, p = 0.003) and fatigue (β = - 0.32, p = 0.018) were significant predictors (R 2 = 0.422); while age (β = 0.36, p <0.001) physical activity (β = 0.051, p = 0.055), sleep (β = 0.50, p =0.046), fatigue (β = -0.37, p <0.001) and depression (β = -1.12, p <0.001) predicted emotional well-being (R 2 = 0.696). Conclusion: Physically active heart failure patients had a better anthropometric profile and lower prevalence of T2DM. In this cohort, PA was not a significant predictor for general and physical functioning, but it remained relevant for predicting emotional well-being.

Physical activity and health-related quality of life in multiple myeloma survivors: the PROFILES registry

2019 ◽  
Vol 10 (4) ◽  
pp. e35-e35 ◽  
Author(s):  
Michela Servadio ◽  
Francesco Cottone ◽  
Kathrin Sommer ◽  
Simone Oerlemans ◽  
Lonneke van de Poll-Franse ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Health Related Quality ◽  
Physically Active ◽  
Related Quality ◽  
Eortc Qlq C30 ◽  
Health Related ◽  
Eortc Qlq ◽  
Active Patients

ObjectivesTo investigate whether physical activity (PA) is associated with health-related quality of life (HRQOL) outcomes in multiple myeloma (MM) survivors up to 11 years after diagnosis.MethodsWe used data from the Patient Reported Outcomes Following Initial treatment and Long term Evaluation of Survivorship registry. We included 175 MM survivors diagnosed between 1999 and 2009 as registered by the Netherlands Cancer Registry. Sixty-four per cent (n=112/175) of patients who received the questionnaires, completed the European Organisation for Research and Treatment of Cancer (EORTC) QLQ-C30 and the EORTC QLQ-MY20. Patients were classified into two groups: physically active and not physically active patients. Univariable and multivariable linear regression models were used to evaluate associations between PA and HRQOL outcomes.ResultsPhysically active patients reported a statistically significant higher global health status/HRQOL (p=0.001), lower fatigue (p=0.002) and fewer side effects of treatments (p=0.001), than not physically active patients. PA was not associated with psychological symptoms (ie, anxiety and depressive symptoms) (anxiety: p=0.139; depressive symptoms: p=0.073). Exploratory analyses performed on the other scales of the EORTC QLQ-C30 indicated statistically significant better outcomes in several functional and symptom subscales for physically active patients.ConclusionsThese findings might contribute to a better understanding of the relationship between PA and disease specific HRQOL aspects in MM survivors. Prospective studies are warranted to further elucidate on the beneficial effects of PA on HRQOL outcomes of MM survivors.

scholarly journals Relationship between Sedentary Time, Physical Activity, and Health-Related Quality of Life in Spanish Children

2021 ◽  
Vol 18 (5) ◽  
pp. 2702
Author(s):  
Manuel Ávila-García ◽  
María Esojo-Rivas ◽  
Emilio Villa-González ◽  
Pablo Tercedor ◽  
Francisco Javier Huertas-Delgado
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Well Being ◽  
Self Esteem ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

Higher sedentary time and lower physical activity (PA) are associated with a poor health-related quality of life (HRQoL) in children. The aims of this study were: (1) to analyze the sedentary time, objectively measured PA levels (light, moderate, vigorous, and moderate-to-vigorous physical activity (MVPA)), and HRQoL dimensions (physical well-being, emotional well-being, self-esteem, family, friends, school, and total score) in children; and (2) to examine the association between sedentary time, PA levels, and HRQoL in children separately by sex. A total of 459 children (8.4 ± 0.4 years old, 50.54% males) from 15 schools in Granada (Spain) participated in the study. A tri-axial accelerometer was used to measure PA levels in the children for 7 consecutive days. The Revidierter KINDer Lebensqualitätsfragebogen (KINDL-R) questionnaire was used to determine the children’s HRQoL dimensions. The results showed that males presented more minutes engaged in MVPA than females. Both sedentary time and PA levels were associated with self-esteem and total score (all p < 0.05). In males, moderate and vigorous PA levels were associated with higher HRQoL, whereas light PA was associated with higher HRQoL in females. Future studies should take into account the use of activities with difference intensities in order to increase HRQoL in males and females.

Long-term effectiveness of telephone-based health coaching for heart failure patients: A post-only randomised controlled trial

2016 ◽  
Vol 23 (8) ◽  
pp. 716-724 ◽  
Author(s):  
Michel Tiede ◽  
Sarah Dwinger ◽  
Lutz Herbarth ◽  
Martin Härter ◽  
Jörg Dirmaier
Keyword(s):  
Quality Of Life ◽  
Heart Failure ◽  
Locus Of Control ◽  
Controlled Trial ◽  
Health Coaching ◽  
Analysis Of Covariance ◽  
Control Group ◽  
Heart Failure Patients ◽  
Health Related

Introduction The * Equal contributors. health-status of heart failure patients can be improved to some extent by disease self-management. One method of developing such skills is telephone-based health coaching. However, the effects of telephone-based health coaching remain inconclusive. The aim of this study was to evaluate the effects of telephone-based health coaching for people with heart failure. Methods A total sample of 7186 patients with various chronic diseases was randomly assigned to either the coaching or the control group. Then 184 patients with heart failure were selected by International Classification of Diseases (ICD)-10 code for subgroup analysis. Data were collected at 24 and 48 months after the beginning of the coaching. The primary outcome was change in quality of life. Secondary outcomes were changes in depression and anxiety, health-related control beliefs, control preference, health risk behaviour and health-related behaviours. Statistical analyses included a per-protocol evaluation, employing analysis of variance and analysis of covariance (ANCOVA) as well as Mann-Whitney U tests. Results Participants’ average age was 73 years (standard deviation (SD) = 9) and the majority were women (52.8%). In ANCOVA analyses there were no significant differences between groups for the change in quality of life (QoL). However, the coaching group reported a significantly higher level of physical activity ( p = 0.03), lower intake of non-prescribed drugs ( p = 0.04) and lower levels of stress ( p = 0.02) than the control group. Mann-Whitney U tests showed a different external locus of control ( p = 0.014), and higher reduction in unhealthy nutrition ( p = 0.019), physical inactivity ( p = 0.004) and stress ( p = 0.028). Discussion Our results suggest that telephone-based health coaching has no effect on QoL, anxiety and depression of heart failure patients, but helps in improving certain risk behaviours and changes the locus of control to be more externalised.

scholarly journals The relationship of self-reported and device-based measures of physical activity and health-related quality of life in adolescents

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Kathrin Wunsch ◽  
Claudio R. Nigg ◽  
Susanne Weyland ◽  
Darko Jekauc ◽  
Claudia Niessner ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
School Environment ◽  
Protective Factor ◽  
Well Being ◽  
Health Related Quality ◽  
Psychological Well Being ◽  
Related Quality ◽  
Health Related

Abstract Background Physical activity (PA) has beneficial effects on health and health-related quality of life (HRQoL), which is a protective factor of illness and mortality. The purpose of this examination was to investigate if self-reported and device-based measures of PA were related to HRQoL in adolescents. Methods Participants (N = 1565; 54.3% female; Mage = 14.37 years, SDage = 1.99) were recruited from 167 sample points across Germany. Adolescents self-reported their PA, supplemented by a 1-week examination of device-based PA using accelerometry. Additionally, they completed the multidimensional KIDSCREEN-27 to assess HRQoL. Results Results showed that self-reported PA was correlated with overall HRQoL, Physical Well-Being, Psychological Well-Being, Social Support & Peers, and School Environment, whereas device-based PA was only correlated with Physical as well as Psychological Well-Being. Further, self-reported PA significantly predicted all facets of HRQoL except for Autonomy and Parent Relations, whereas device-based PA solely heightened the amount of explained variance in the Physical Well-Being subscale. Conclusions Findings demonstrate the importance of self-reported PA as it is related to almost all facets of HRQoL. Both measures of PA are not congruent in their relationship with HRQoL and thus implications have to be carefully considered. Future studies should investigate the direct effect of PA on HRQoL and health in a longitudinal approach to account for the causality of effects.

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