The scope of sleep problems in Canadian children and adolescents with obesity

MacLean, Joanna E.; DeHaan, Kristie; Chowdhury, Tamya; Nehme, Joy; Bendiak, Glenda N.; Hoey, Lynda; Horwood, Linda; Pasterkamp, Hans; Kirk, Valerie; Constantin, Evelyn; Katz, Sherri

doi:10.1016/j.sleep.2018.03.006

Cited by 12 publications

(10 citation statements)

References 34 publications

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“…Nasal congestion is considered to be a major factor interfering with sleep quality and inducing daytime somnolence. Previous studies suggest that nasal obstruction contributes to higher risks of OSA [48][49][50] and SDB [51,52]. The role of nasal congestion as a risk factor for snoring has also been confirmed by a population-based cohort study [53].…”

Section: Assessment Of Cumulative Evidencementioning

confidence: 71%

The association between allergic rhinitis and sleep: A systematic review and meta-analysis of observational studies

et al. 2020

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This systematic review and meta-analysis examines the associations of allergic rhinitis with sleep duration and sleep impairment. Observational studies published before August 2019 were obtained through English language literature searches in the PubMed, Embase, and CINAHL databases. Mean differences and odds ratios with 95% confidence intervals were extracted and used for meta-analysis. Heterogeneity was confirmed by the I 2-heterogeneity test. Subgroup analysis was conducted to evaluate the influence of study design. The Grading of Recommendations Assessment, Development, and Evaluation approach was used to determine the level of evidence. In total, 2544 records were identified through database searches; 914 duplicate records were excluded, 1452 records were removed after screening of titles and abstracts, 151 records were excluded after full-text screening, and 27 articles were included in the final meta-analyses. A total of 240,706,026 patients (19,444,043 with allergic rhinitis) were considered. No significant difference in sleep duration between the allergic rhinitis and the control groups was found. Patients with allergic rhinitis presented with significantly higher sleep quality scores, sleep disturbances scores, and sleep latency scores; more frequent use of sleep medications; and lower sleep efficiency as measured by the Pittsburgh Sleep Quality Index and polysomnography. Meta-analyses for adjusted odds ratios showed that allergic rhinitis was also associated with higher risks of nocturnal dysfunctions, including insomnia, nocturnal enuresis, restless sleep, sleep-disordered breathing, obstructive sleep apnea, and snoring. Meta-analysis for adjusted odds ratio also showed that allergic rhinitis was associated with daytime dysfunction, including difficulty waking up, daytime sleepiness, morning headache, and the use of sleep medications. The overall quality of evidence ranged from low to very low, indicating that caution is required when interpreting these results. This study demonstrates that there is a significant association of AR with sleep characteristics.

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Section: Assessment Of Cumulative Evidencementioning

confidence: 71%

The association between allergic rhinitis and sleep: A systematic review and meta-analysis of observational studies

et al. 2020

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“…This finding is supported by a recent study demonstrating that OSA patients are less physically active than individuals without OSA [24]. The high heritability of sleep parameters highlights the role of earlier identification of OSA in genetically predisposed individuals, since treatment strategies to improve sleep may contribute to overall health outcomes for patients with obesity [25]. The non-genetic link can be the reason why recent studies showed that effective treatment of OSA with CPAP significantly reduces visceral fat [22, 26].…”

Section: Discussionmentioning

confidence: 56%

Genetic influences on the onset of obstructive sleep apnoea and daytime sleepiness: a twin study

Szily

Tárnoki

et al. 2019

Respir Res

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Background Obstructive sleep apnoea (OSA) is one of the major sources of the excessive daily sleepiness, cognitive dysfunction, and it increases cardiovascular morbidity and mortality. Previous studies suggested a possible genetic influence, based on questionnaires but no objective genetic study was conducted to understand the exact variance underpinned by genetic factors. Methods Seventy-one Hungarian twin pairs involved from the Hungarian Twin Registry (48 monozygotic, MZ and 23 dizygotic, DZ pairs, mean age 51 ± 15 years) underwent overnight polysomnography (Somnoscreen Plus Tele PSG, Somnomedics GMBH, Germany). Apnoea hypopnea index (AHI), respiratory disturbance index (RDI) and oxygen desaturation index (ODI) were registered. Daytime sleepiness was measured with the Epworth Sleepiness Scale (ESS). Bivariate heritability analysis was applied. Results The prevalence of OSA was 41% in our study population. The heritability of the AHI, ODI and RDI ranged between 69% and 83%, while the OSA, defined by an AHI ≥5/h, was itself 73% heritable. The unshared environmental component explained the rest of the variance between 17% and 31%. Daytime sleepiness was mostly determined by the environment, and the variance was influenced in 34% by the additive genetic factors. These associations were present after additional adjustment for body mass index. Conclusion OSA and the indices of OSA severity are heritable, while daytime sleepiness is mostly influenced by environmental factors. Further studies should elucidate whether close relatives of patients with OSA may benefit from early family risk based screening.

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“…Two meta-analyses and systematic reviews related short sleep duration with obesity in children [ 64 , 65 ]. In the current study, it was found that the average daily sleep amount of children (primary school students) is significantly and positively related to BMI.…”

Section: Discussionmentioning

confidence: 99%

Effect of Social Media on Child Obesity: Application of Structural Equation Modeling with the Taguchi Method

Khajeheian

Colabi

Shah

et al. 2018

IJERPH

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Through public health studies, specifically on child obesity modeling, research scholars have been attempting to identify the factors affecting obesity using suitable statistical techniques. In recent years, regression, structural equation modeling (SEM) and partial least squares (PLS) regression have been the most widely employed statistical modeling techniques in public health studies. The main objective of this study to apply the Taguchi method to introduce a new pattern rather than a model for analyzing the body mass index (BMI) of children as a representative of childhood obesity levels mainly related to social media use. The data analysis includes two main parts. The first part entails selecting significant indicators for the proposed framework by applying SEM for primary and high school students separately. The second part introduces the Taguchi method as a realistic and reliable approach to exploring which combination of significant variables leads to high obesity levels in children. AMOS software (IBM, Armonk, NY, USA) was applied in the first part of data analysis and MINITAB software (Minitab Inc., State College, PA, USA) was utilized for the Taguchi experimental analysis (second data analysis part). This study will help research scholars view the data and a pattern rather than a model, as a combination of different factor levels for target factor optimization.

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The scope of sleep problems in Canadian children and adolescents with obesity

Cited by 12 publications

References 34 publications

The association between allergic rhinitis and sleep: A systematic review and meta-analysis of observational studies

The association between allergic rhinitis and sleep: A systematic review and meta-analysis of observational studies

Genetic influences on the onset of obstructive sleep apnoea and daytime sleepiness: a twin study

Effect of Social Media on Child Obesity: Application of Structural Equation Modeling with the Taguchi Method

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