ABSTRACT
Aim: Home sleep testing is becoming more common in the diagnostics of pediatric obstructive sleep apnea. The aim was to examine the agreement between manual and automatic analyses of home sleep examinations in children and adolescents. Materials & methods: Sleep examinations recorded with a type 3 sleep monitor (Nox T3) were analyzed manually by a registered polysomnographic technologist and automatically with Noxturnal version 5.1. Results: 51sleep examinations on children and adolescents with a median age of 13.6 years were included. The median manual apnea-hypopnea index (AHI) was 2.7 (range 0.2 to 28.2), while the median automatic AHI was 11.9 (range 4.2 to 45.6; p < 0.001). Conclusion: The agreement between manual and automatic analyses was poor. The AHI was consistently overestimated by automatic analysis.
Subject(s)
Sleep Apnea, Obstructive/diagnosis , Adolescent , Automation , Child , Data Collection , Female , Home Care Services/standards , Humans , Male , Monitoring, Ambulatory/standards , Observer Variation , Polysomnography/standardsABSTRACT
We investigated the relationship between interview-based subjective ratings of physical activity (PA) engagement and accelerometer-assessed objectively measured PA in children and adolescents with overweight or obesity. A total of 92 children and adolescents (40 males, 52 females) with BMI ≥ 90th percentile for sex and age, aged 5-17 years had valid GT3X + accelerometer-assessed PA and interview-assessed self-reported information on PA engagement at the time of enrollment in a multidisciplinary outpatient tertiary treatment for childhood obesity. Accelerometer-derived mean overall PA and time spent in moderate to vigorous physical intensity were generated, applying cut-offs based on Vector Magnitude settings as defined by Romanzini et al. (2014), and a physical activity score (PAS) based on self-reported data. Overall, a higher self-reported PAS was correlated with higher accelerometer-assessed daily total PA levels ( r = 0.34, p < .01) and children who reported a high PAS were more physically active compared with children who reported a low PAS. There was a fair level of agreement between self-reported PAS and accelerometer-assessed PA (Kappa agreement = 0.23; 95% CI = [0.03, 0.43]; p = .01). PAS, derived from self-report, may be a useful instrument for evaluating PA at a group level among children and adolescents enrolled in multidisciplinary obesity treatment.
