Association between quality of life, severity of asthma, sleep disorders and exercise capacity in children with asthma: a cross-sectional study

Furtado, Priscilla Rique; Maciel, Álvaro Campos Cavalcanti; Tomaz, Renata Ramos; Silva, Ana Aline Marcelino da; Freitas, Diana Amélia de; Mendonça, Karla Morganna Pereira Pinto de

doi:10.1016/j.bjpt.2018.08.010

Cited by 30 publications

(31 citation statements)

References 25 publications

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“…www.nature.com/scientificreports www.nature.com/scientificreports/ Similarly to our previous findings on patients with different levels of asthma severity 4 , in the current study all domains of QoL were significantly more impaired in SA compared to MA. This result is not in line with the finding by Furtado et al that in a smaller sample of asthmatic children reported no significant differences between intermittent/mild and moderate/severe asthmatics, with regard to emotional function and activity limitation domains 17 . This discrepancy is possibly due to the fact that children with moderate and severe asthma were included in the same group, leading to a possible underestimation of the two domains.…”

Section: Discussioncontrasting

confidence: 97%

Relationship between quality of life and behavioural disorders in children with persistent asthma: a Multiple Indicators Multiple Causes (MIMIC) model

Montalbano

Ferrante

Montella

et al. 2020

Sci Rep

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37 , franca Rusconi 11,37 & the italian pediatric Severe Asthma network (ipSAn) program of italian paediatric Respiratory Society (ipRS) † Knowledge on multiple interdependences between quality of life (QoL) and behavioural problems in relation to asthma severity and control is undetermined. the aims of the study were: (i) to assess the relationship of QoL and behavioural problems with asthma severity and control (ii) to predict children's "abnormal/borderline" status with variation in QoL. for these purposes a multicenter case-control study on 47 Severe Asthma (SA) and 94 Moderate Asthma (MA) children was performed. The MIMIC approach was applied to investigate the effect of SA and non-controlled asthma (NC) on QoL and behavioural disorders. Logistic regression was used to estimate probabilities of having an "abnormal/ borderline" status with variation in QoL. The MIMIC model showed that the magnitude of the effect of SA and nc was larger on QoL (β = −0.37 and β = −0.30, respectively) than on behavioural problems (β = 0.27). With regards to the probability of having a borderline status, in MA a QoL of 1 returned a probability of 0.81, whereas in SA a QoL of 1 returned a probability of 0.89. In conclusion, SA children are highly affected by impaired QoL and behavioural problems. The MIMIC model allowed us to obtain a comprehensive assessment of QoL and behavioural problems with asthma severity and control.Asthma is one of the most common chronic illnesses of childhood. In clinical practice, physicians are generally focused on diagnosis and treating the respiratory aspects of the disease; however, there are other factors, including psychological facets, which contribute to the disease course, including quality of life (QoL). Children with

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Section: Discussioncontrasting

confidence: 97%

Relationship between quality of life and behavioural disorders in children with persistent asthma: a Multiple Indicators Multiple Causes (MIMIC) model

Montalbano

Ferrante

Montella

et al. 2020

Sci Rep

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“…Although the benefits of physical exercise are well known, including positive cardiovascular and musculoskeletal effects, quality of life improvement, and better disease control (Coelho et al, 2018), some studies (Pianosi and Davis, 2004; Coelho et al, 2018; Furtado et al, 2018) demonstrate that adult patients with STRA present significant impairment of physical activity levels. In our study, VO 2 was reduced when evaluated in both CPET [six patients (31.6%) with the percentile for VO 2 < 5] and MST [six patients (31.6%) showing values < 80% of predicted], suggesting a compromised exercise capacity.…”

Section: Discussionmentioning

confidence: 99%

Modified Shuttle Test Distance Correlates With Peak Oxygen Uptake in Children and Adolescents With Severe Therapy-Resistant Asthma

Schiwe

Heinzmann‐Filho

et al. 2019

Front. Physiol.

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IntroductionSeveral tests may be used to assess exercise intolerance in severe therapy-resistant asthma (STRA), including the gold standard cardiopulmonary exercise test (CPET) and the modified shuttle test (MST).ObjectiveTo correlate the distance achieved in the MST with peak oxygen uptake (VO2peak) and to compare the maximal heart rate (HRmax) obtained in both tests in children and adolescents with STRA.MethodsThis is a cross-sectional study, with 19 children and adolescents with STRA. Demographic, anthropometric, clinical data, and spirometric values were collected. CPET and the MST were performed in two consecutive visits. HRmax, pulse oxygen saturation, and dyspnea were compared between tests. The distance achieved in the MST was correlated with VO2peak.ResultsNineteen patients with a mean age of 11.5 ± 2.5 years were included. The mean HRmax (bpm) achieved was 180.8 ± 12.10 for the MST and 187.6 ± 9.35 for CPET, whereas the mean HRmax as a percentage of predicted (HRmax%) was 90.7 ± 6.5 for the MST and 93.8 ± 4.5 for CPET. A difference of only 6 bpm was found for HRmax (p = 0.10) and of 3% for HRmax% (p = 0.06) between tests. A strong correlation was found between the MST (r = 0.79; p = 0.001) and VO2peak measured through CPET. However, there were no correlations between the MST and both body mass index (r = −0.14; p = 0.564) and forced expiratory volume in the first second – FEV1 (r = −0.02; p = 0.917).ConclusionThe results demonstrate that the MST distance strongly correlates with VO2peak, measured through CPET, and the main physiological variable responses were similar between both tests. Our results provide additional data for the use of the MST to assess exercise capacity in children and adolescents with STRA.

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“…The prevalence of SDB has been reported to be 5.1-13.3% in children [3][4][5][6][7][8][9][10][11][12] and 8.6-57.8% in asthmatic children [1,[6][7][8][11][12][13]. There are, however, few studies that have explored the prevalence of SDB in China.…”

Section: Introductionmentioning

confidence: 99%

Characteristics and risk factors of children with sleep-disordered breathing in Wuxi, China

et al. 2020

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Background: Sleep-disordered breathing (SDB) is a common syndrome in children, related to their immune responses, cardiovascular function, and neurocognitive function. This study aimed to determine the prevalence of SDB among children in Wuxi, China, and to evaluate the protective and risk factors of SDB in children. Methods: A cross-sectional study was conducted on children attending different schools across Wuxi, China, aged 3-14 years old. Of a total of 5630 questionnaires distributed to the parents of the children, 3997 (71.0%) were deemed to be valid. The data on the general sociodemographic factors, children's allergy and sleep characteristics, and the parents' sleep characteristics were also collected. The Paediatric Sleep Questionnaire (PSQ) score was used to identify children at high risk of SDB. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by logistic regression. Results: The prevalence of SDB in this cohort was 13.4% (N = 534). SDB prevalence significantly differed in children with asthma (28.2% vs. 12.8%, P < 0.001), eczema (19.0% vs. 10.0%, P < 0.001), urticaria (16.4% vs. 12.9%, P < 0.01) and rhinitis (21.4% vs. 10.7%, P < 0.001). No significant differences were found in SDB prevalence with respect to pillow material or quilt material. On multivariate logistic regression analysis, asthma (OR 1.986 (95% CI 1.312-3.007), P < 0.01), eczema (OR 1.675 (95% CI 1.377-2.037), P < 0.001), rhinitis (OR 1.998 (95% CI 1.635-2.441), suffered from familial sleep sickness (OR 2.416 (95% CI 1.975-2.955), P < 0.001) and whose mothers slept for a shorter duration (6 h-8 h: OR 1.370 (95% CI 1.089-1.724), P < 0.01; <6 h: OR 3.385(95% CI 2.098-5.461), P < 0.001) increased the odds of having SDB. The incidence of SDB significantly decreased with children's age (6-11 years old: 0R 0.768 (95% CI 0.597-0.989), P < 0.05; 12-14 years old: OR 0.691 (95% CI 0.530-0.901), P < 0.01). Conclusion: The results of this study demonstrated that atopic diseases (asthma, eczema, and rhinitis) and family sleep habits were risk factors for SDB in children in Wuxi, China.

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Association between quality of life, severity of asthma, sleep disorders and exercise capacity in children with asthma: a cross-sectional study

Abstract: Lower asthma severity (intermittent/mild), fewer symptoms of sleep disorder, and lower exercise-induced dyspnea predicts better quality of life in children with asthma.

Cited by 30 publications

References 25 publications

Relationship between quality of life and behavioural disorders in children with persistent asthma: a Multiple Indicators Multiple Causes (MIMIC) model

Relationship between quality of life and behavioural disorders in children with persistent asthma: a Multiple Indicators Multiple Causes (MIMIC) model

Modified Shuttle Test Distance Correlates With Peak Oxygen Uptake in Children and Adolescents With Severe Therapy-Resistant Asthma

Characteristics and risk factors of children with sleep-disordered breathing in Wuxi, China

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