Discrepancy between subjective and objective sleepiness in adolescents.

BACKGROUND: Lack of correlation between subjective and objective measurements of daytime sleepiness is common. Here, the frequency of discrepancy between subjective and objective sleepiness, as well as possible predictors, were examined for an adolescent cohort. METHODS: This study included pediatric patients (aged 10-18 years, n = 211) with various sleep disorder symptoms were evaluated between August 2011 and February 2021. Subjective and objective sleepiness were assessed based on eleven or more scores of the Japanese version of Epworth Sleepiness Scale and a mean sleep latency of 8.0 min or less on the Multiple Sleep Latency Test, respectively. Patients were then classified as both subjectively and objectively sleepy, objectively sleepy, subjectively sleepy, and non-sleepy. Discrepancy-related factors were identified with multivariable logistic regression analysis. RESULTS: The frequency of discrepancy between subjective and objective sleepiness was 46.4%, with 35.5% (75/211) of the patients exhibiting subjective sleepiness without objective sleepiness and 10.9% (23/211) of the patients exhibiting objective sleepiness without subjective sleepiness. Co-existence of neurodevelopmental disorders was associated more often with subjective sleepiness compared to non-sleepiness (odds ratio (OR), 4.12; 95% confidence interval (CI), 1.30 to 12.99) or concordant sleepiness (OR, 7.54; 95% CI, 2.43 to 23.38). CONCLUSIONS: Nearly half of the patients exhibited discrepancy between subjective and objective sleepiness, and it more often involved subjective sleepiness. Furthermore, age, bedtime, and neurodevelopmental disorders were identified as significant factors related to subjective sleepiness without objective sleepiness.

Prevalence and Determinants of QuantiFERON-Diagnosed Tuberculosis Infection in 9810 Mongolian Schoolchildren.

BACKGROUND: There is controversy regarding the potential influence of vitamin D deficiency, exposure to environmental tobacco smoke, BCG vaccination, season, and body habitus on susceptibility to Mycobacterium tuberculosis (MTB) infection. METHODS: We conducted a cross-sectional analysis to identify determinants of a positive QuantiFERON-TB Gold (QFT) assay result in children aged 6-13 years attending 18 schools in Ulaanbaatar, Mongolia. Data relating to potential risk factors for MTB infection were collected by questionnaire, physical examination, and determination of serum 25-hydroxyvitamin D (25[OH]D) concentrations. Risk ratios (RRs) were calculated with adjustment for potential confounders, and population attributable fractions (PAFs) were calculated for modifiable risk factors identified. RESULTS: Nine hundred forty-six of 9810 (9.6%) participants had a positive QFT result. QFT positivity was independently associated with household exposure to pulmonary tuberculosis (adjusted RR [aRR], 4.75 [95% confidence interval {CI}, 4.13-5.46, P < .001]; PAF, 13.1% [95% CI, 11.1%-15.0%]), vitamin D deficiency (aRR, 1.23 [95% CI, 1.08-1.40], P = .002; PAF, 5.7% [95% CI, 1.9%-9.3%]), exposure to environmental tobacco smoke (1 indoor smoker, aRR, 1.19 [95% CI, 1.04-1.35]; ≥2 indoor smokers, aRR, 1.30 [95% CI, 1.02-1.64]; P for trend = .006; PAF, 7.2% [95% CI, 2.2%-12.0%]), and increasing age (aRR per additional year, 1.14 [95% CI, 1.10-1.19], P < .001). No statistically significant independent association was seen for presence of a BCG scar, season of sampling, or body mass index. CONCLUSIONS: Vitamin D deficiency and exposure to environmental tobacco smoke are potentially modifiable risk factors for MTB infection.