The Relationship Between Parent Distress and Child Quality of Life in Pediatric Cancer: A Meta-Analysis

2020 ◽  
Vol 50 ◽  
pp. 14-19 ◽  
Author(s):  
Dana M. Bakula ◽  
Christina M. Sharkey ◽  
Megan N. Perez ◽  
Hannah C. Espeleta ◽  
Kaitlyn L. Gamwell ◽  
...  
2020 ◽  
Vol 223 ◽  
pp. 9-17
Author(s):  
Beshaun J. Davis ◽  
Paul H. Lysaker ◽  
Michelle P. Salyers ◽  
Kyle S. Minor

10.19082/6596 ◽  
2018 ◽  
Vol 10 (4) ◽  
pp. 6596-6607 ◽  
Author(s):  
Nazanin Rezaei ◽  
Zahra Tavalaee ◽  
Kourosh Sayehmiri ◽  
Nasibeh Sharifi ◽  
Salman Daliri

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Jessica S Armer ◽  
Susan K Lutgendorf

Abstract Background Mind-body approaches, particularly yoga, are used by cancer survivors to cope with treatment-related symptoms. Consistency of yoga-related effects on treatment-related symptoms are not known. This meta-analysis was designed to examine effects of yoga on pre- to postintervention improvements in fatigue among cancer patients. Methods PubMed and PsycINFO were searched for peer-reviewed articles of yoga randomized controlled trials including cancer survivors and reporting at least one fatigue measure. Twenty-nine studies met inclusion criteria (n = 1828 patients). Effect sizes (Hedge’s g) were calculated for fatigue, depression, and quality of life. Patient-related and intervention-related characteristics were tested as moderators of outcomes. All statistical tests were two-sided. Results Yoga practice was associated with a small, statistically significant decrease in fatigue (g = 0.45, P = .013). Yoga type was a statistically significant moderator of this relationship (P = .02). Yoga was associated with a moderate decrease in depression (g = 0.72, P = .007) but was not associated with statistically significant changes in quality of life (P = .48). Session length was a statistically significant moderator of the relationship between yoga and depression (P = .004). Neither timing of treatment (during treatment vs posttreatment) nor clinical characteristics were statistically significant moderators of the effects of yoga on outcomes. The effect of yoga on fatigue and depression was larger when the comparator was a “waitlist” or “usual care” than when the control group was another active treatment (P = .036). Conclusions Results suggest yoga may be beneficial as a component of treatment for both fatigue and depression in cancer survivors.


2021 ◽  
Vol 109 ◽  
pp. 101812
Author(s):  
Michele da Silva Valadão Fernandes ◽  
Carolina Rodrigues Mendonça ◽  
Thays Martins Vital da Silva ◽  
Matias Noll

2016 ◽  
Vol 33 (5) ◽  
pp. 314-326 ◽  
Author(s):  
Larry L. Mullins ◽  
Christopher C. Cushing ◽  
Kristina I. Suorsa ◽  
Alayna P. Tackett ◽  
Elizabeth S. Molzon ◽  
...  

Author(s):  
G L Jones ◽  
A Sutton

The aim of this review was to identify the ways in which obesity affects the health-related quality of life (HRQoL) of postmenopausal women. This was considered important because a growing body of literature has identified obesity as a significant predictor for a poor psychological wellbeing and negative HRQoL, particularly in women, and because during the transition through the menopause women tend to accumulate more body weight. After searching eight electronic databases, only nine papers appeared meaningful. Although a meta-analysis was not possible, we found that a body mass index (BMI) >30 kg/m2 was associated with a poor HRQoL in postmenopausal women; particularly in the areas associated with physical functioning, energy and vitality, and health perceptions. Thus, clinical management of obese postmenopausal women should focus on weight reduction and exercise in an attempt to improve wellbeing in these areas. However, the paucity of research, the different instruments chosen to measure HRQoL and the methodological limitations of the studies identified, prevented firm conclusions being made about whether the relationship between BMI and HRQoL is linear in postmenopausal women. Further research is needed to explore this relationship; particularly in comparison with underweight postmenopausal women and obese premenopausal women, where a few papers have identified these women as having a worse HRQoL than their obese postmenopausal counterparts. Other measures of central adiposity, including waist circumference and waist-hip ratio are recommended as useful supplemental measures to BMI in future studies.


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