Perceived Listening Difficulty in the Classroom, Not Measured Noise Levels, Is Associated With Fatigue in Children With and Without Hearing Loss

2021 ◽  
pp. 1-12
Author(s):  
Samantha J. Gustafson ◽  
Stephen Camarata ◽  
Benjamin W. Y. Hornsby ◽  
Fred H. Bess

Purpose The purpose of this study was to examine if classroom noise levels and perceived listening difficulty were related to fatigue reported by children with and without hearing loss. Method Measures of classroom noise and reports of classroom listening difficulty were obtained from 79 children (ages 6–12 years) at two time points on two different school days. Forty-four children had mild to moderately severe hearing loss in at least one ear. Multiple regression analyses were conducted to evaluate if measured noise levels, perceived listening difficulty, hearing status, language abilities, or grade level would predict self-reported fatigue ratings measured using the Pediatric Quality of Life Inventory Multidimensional Fatigue Scale. Results Higher perceived listening difficulty was the only predictor variable that was associated with greater self-reported fatigue. Conclusions Measured classroom noise levels showed no systematic relationship with fatigue ratings, suggesting that actual classroom noise levels do not contribute to increased reports of subjective fatigue. Instead, perceived challenges with listening appears to be an important factor for consideration in future work examining listening-related fatigue in children with and without hearing loss.

Obesity Facts ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 25-36 ◽  
Author(s):  
Gian Mauro Manzoni ◽  
Alessandro Rossi ◽  
Nicoletta Marazzi ◽  
Fiorenza Agosti ◽  
Alessandra De Col ◽  
...  

2017 ◽  
Vol 45 (12) ◽  
pp. 2723-2729 ◽  
Author(s):  
Alison R. Snyder Valier ◽  
Cailee E. Welch Bacon ◽  
R. Curtis Bay ◽  
Eileen Molzen ◽  
Kenneth C. Lam ◽  
...  

Background: Effective use of patient-rated outcome measures to facilitate optimal patient care requires an understanding of the reference values of these measures within the population of interest. Little is known about reference values for commonly used patient-rated outcome measures in adolescent athletes. Purpose: To determine reference values for the Pediatric Quality of Life Inventory (PedsQL) and the Multidimensional Fatigue Scale (MFS) in adolescent athletes by sport and sex. Study Design: Cross-sectional study; Level of evidence, 3. Methods: A convenience sample of interscholastic adolescent athletes from 9 sports was used. Participants completed the PedsQL and MFS during one testing session at the start of their sport season. Data were stratified by sport and sex. Dependent variables included the total PedsQL score and the 5 PedsQL subscale scores: physical functioning, psychosocial functioning, emotional functioning, social functioning, and school functioning. Dependent variables for the MFS included 3 subscale scores: general functioning, sleep functioning, and cognitive functioning. Summary statistics were reported for total and subscale scores by sport and sex. Results: Among 3574 males and 1329 female adolescent athletes, the PedsQL scores (100 possible points) generally indicated high levels of health regardless of sport played. Mean PedsQL total and subscales scores ranged from 82.6 to 95.7 for males and 83.9 to 95.2 for females. Mean MFS subscale scores (100 possible points) ranged from 74.2 to 90.9 for males and 72.8 to 87.4 for females. Conclusion: Healthy male and female adolescent athletes reported relatively high levels of health on the PedsQL subscales and total scores regardless of sport; no mean scores were lower than 82.6 points for males or 83.9 points for females. On the MFS, males and females tended to report low effect of general and cognitive fatigue regardless of sport; mean scores were higher than 83.5 points for males and 83.8 points for females. Clinically, athletes who score below the reference values for their sport have poorer health status than average adolescent athletes participating in that sport. Scores below reference values may warrant consideration of early intervention or treatment.


2014 ◽  
Vol 35 (1) ◽  
pp. 133-139 ◽  
Author(s):  
Luciana Tudech S. P. Paulo ◽  
Claudio A. Len ◽  
Maria Odete E. Hilario ◽  
Soraya A. Pedroso ◽  
Maria Sylvia S. Vitalle ◽  
...  

2021 ◽  
pp. 104345422199232
Author(s):  
Piera C. Robson ◽  
Mary S. Dietrich ◽  
Terrah Foster Akard

Background: Children with cancer often experience decreased quality of life (QOL) throughout the illness trajectory. The purpose of this study was to explore the associations of demographic characteristics with QOL in children with advanced cancer. Methods: This secondary analysis was part of a larger randomized clinical trial that evaluated the efficacy of a legacy intervention for children (7–17 years) with relapsed/refractory cancer and their primary parent caregivers. Assessments included child self-reports on the Pediatric Quality of Life Inventory (PedsQL) Cancer Module. Researchers used descriptive and linear regression statistical methods. Results: Children ( n = 128) averaged 10.9 years (SD = 3.0). The majority were female ( n = 68, 53%), white ( n = 107, 84%), had a hematologic malignancy ( n = 67, 52%), with family incomes of $50,000 or less ( n = 81, 63.3%). Statistically significant positive associations of both age and income level with PedsQL scores were observed ( p < .05) but not gender ( p > .05). The strongest correlations for age were with the procedural anxiety ( beta = 0.42), treatment anxiety ( beta = 0.26), and total ( beta = 0.28) scores (all p < .01). In general, there was a positive correlation between family income levels and PedsQL scores ( p < .05). The strongest correlations for income were with nausea ( R = 0.49), appearance ( R = 0.44), pain, and treatment anxiety (both R = 0.42) (all p < .01). Associations adjusted for age remained essentially the same (all p < .01). Discussion: Children with advanced cancer with lower family income and younger age are at high risk for poorer QOL. Oncology nurses should seek to identify families who may benefit from additional resources to promote QOL.


Author(s):  
Maxime Caru ◽  
Sébastien Perreault ◽  
Ariane Levesque ◽  
Serge Sultan ◽  
Leandra Desjardins ◽  
...  

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