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Abstract Objective: To assess factors associated with emotional changes and Hyperactivity/Inattention (HI) motivated by COVID-19 quarantine in adolescents with immunocompromising diseases. Methods: A cross-sectional study included 343 adolescents with immunocompromising diseases and 108 healthy adolescents. Online questionnaires were answered including socio-demographic data and self-rated healthcare routine during COVID-19 quarantine and validated surveys: Strengths and Difficulties Questionnaire (SDQ), Pittsburgh Sleep Quality Index (PSQI), Pediatric Quality of Life Inventory 4.0 (PedsQL4.0). Results: The frequencies of abnormal emotional SDQ scores from adolescents with chronic diseases were similar to those of healthy subjects (110/343 [32%] vs. 38/108 [35%], p = 0.548), as well as abnormal hyperactivity/inattention SDQ scores (79/343 [23%] vs. 29/108 [27%], p = 0.417). Logistic regression analysis of independent variables associated with abnormal emotional scores from adolescents with chronic diseases showed: female sex (Odds Ratio [OR = 3.76]; 95% Confidence Interval (95% CI) 2.00–7.05; p < 0.001), poor sleep quality (OR = 2.05; 95% CI 1.08–3.88; p = 0.028) and intrafamilial violence during pandemic (OR = 2.17; 95% CI 1.12–4.19; p = 0.021) as independently associated with abnormal emotional scores, whereas total PedsQL score was inversely associated with abnormal emotional scores (OR = 0.95; 95% CI 0.93–0.96; p < 0.0001). Logistic regression analysis associated with abnormal HI scores from patients evidenced that total PedsQL score (OR = 0.97; 95% CI 0.95–0.99; p = 0.010], changes in medical appointments during the pandemic (OR = 0.39; 95% CI 0.19–0.79; p = 0.021), and reliable COVID-19 information (OR = 0.35; 95% CI 0.16–0.77; p = 0.026) remained inversely associated with abnormal HI scores. Conclusion: The present study showed emotional and HI disturbances in adolescents with chronic immunosuppressive diseases during the COVID-19 pandemic. It reinforces the need to promptly implement a longitudinal program to protect the mental health of adolescents with and without chronic illnesses during future pandemics. Objective HyperactivityInattention Hyperactivity Inattention (HI COVID19 COVID 19 COVID-1 Methods crosssectional cross sectional 34 10 sociodemographic socio demographic selfrated self rated surveys SDQ, , (SDQ) PSQI, PSQI (PSQI) 40 4 0 4. PedsQL4.0. PedsQL40 PedsQL4.0 . PedsQL4 (PedsQL4.0) Results 110/343 110343 110 (110/34 32% 32 [32% vs 38108 38 38/10 35%, 35 35% [35%] 0.548, 0548 0.548 548 0.548) hyperactivityinattention hyperactivity inattention 79/343 79343 79 (79/34 23% 23 [23% 29108 29 29/10 27%, 27 27% [27%] 0.417. 0417 0.417 417 0.417) Odds OR 3.76 376 3 76 3.76] 95 (95 2.00–7.05 200705 2 00 7 05 0.001, 0001 0.001 001 0.001) 2.05 205 1.08–3.88 108388 1 08 88 0.028 0028 028 2.17 217 17 1.12–4.19 112419 12 0.021 0021 021 0.95 095 0.93–0.96 093096 93 96 0.0001. 00001 0.0001 0.0001) 0.97 097 97 0.95–0.99 095099 99 0.010, 0010 0.010 010 0.010] 0.39 039 39 0.19–0.79 019079 0.021, 0.35 035 0.16–0.77 016077 16 77 0.026 0026 026 Conclusion pandemics COVID1 COVID- (SDQ (PSQI PedsQL4. (PedsQL4.0 110/34 11034 11 (110/3 [32 3810 38/1 [35% 054 0.54 54 79/34 7934 (79/3 [23 2910 29/1 [27% 041 0.41 41 3.7 37 9 (9 2.00–7.0 20070 000 0.00 2.0 20 1.08–3.8 10838 8 0.02 002 02 2.1 21 1.12–4.1 11241 0.9 09 0.93–0.9 09309 0000 0.000 0.95–0.9 09509 0.01 01 0.3 03 0.19–0.7 01907 0.16–0.7 01607 (PedsQL4. 110/3 1103 (110/ [3 381 38/ [35 0.5 5 79/3 793 (79/ [2 291 29/ [27 04 0.4 3. ( 2.00–7. 2007 0.0 2. 1.08–3. 1083 1.12–4. 1124 0. 0.93–0. 0930 0.95–0. 0950 0.19–0. 0190 0.16–0. 0160 (PedsQL4 110/ (110 [ 79/ (79 2.00–7 200 1.08–3 1.12–4 112 0.93–0 093 0.95–0 0.19–0 019 0.16–0 016 (PedsQL (11 (7 2.00– 1.08– 1.12– 0.93– 0.95– 0.19– 0.16– (1 2.00 1.08 1.12 0.93 0.19 0.16 1.0 1.1 0.1 1.

OBJECTIVE: To assess the possible factors that influence sleep quality in adolescents with and without chronic immunosuppressive conditions quarantined during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: This cross-sectional study included 305 adolescents with chronic immunocompromised conditions and 82 healthy adolescents. Online surveys were completed, which included questions on socio-demographic data and self-rated healthcare routine during COVID-19 quarantine and the following validated questionnaires: the Pittsburgh Sleep Quality Index (PSQI), Pediatric Quality of Life Inventory 4.0 (PedsQL4.0), and Pediatric Outcome Data Collection Instrument (PODCI). RESULTS: The median current age [14 (10-18) vs. 15 (10-18) years, p=0.847] and frequency of female sex (62% vs. 58%, p=0.571) were similar in adolescents with chronic conditions compared with healthy adolescents. The frequency of poor sleep quality was similar in both groups (38% vs. 48%, p=0.118). Logistic regression analysis, including both healthy adolescents and adolescents with chronic conditions (n=387), demonstrated that self-reported increase in screen time (odds ratio [OR] 3.0; 95% confidence interval [CI] 1.3-6.8; p=0.008) and intrafamilial violence report (OR 2.1; 95% CI 1.2-3.5; p=0.008) were independently associated with poor sleep quality in these adolescents. However, the PODCI global function score was associated with a lower OR for poor sleep quality (OR 0.97; 95% CI 0.94-0.99; p=0.001). Further logistic regression, including only adolescents with chronic conditions (n=305), demonstrated that self-reported increase in screen time (OR 3.1; 95% CI 1.4-6.8; p=0.006) and intrafamilial violence report (OR 2.0; 95% CI 1.2-3.4; p=0.011) remained independently associated with poor quality of sleep, whereas a lower PODCI global function score was associated with a lower OR for sleep quality (OR 0.96; 95% CI 0.94-0.98; p<0.001). CONCLUSION: Self-reported increases in screen time and intrafamilial violence report impacted sleep quality in both healthy adolescents and those with chronic conditions. Decreased health-related quality of life was observed in adolescents with poor sleep quality.

Index code	Element
ti	article title
au	author
kw	article keywords
subject	subject (title words, abstract and keywords)
ab	abstract
ta	journal short title (e.g. Cad. Saúde Pública)
journal_title	journal full title (e.g. Cadernos de Saúde Pública)
la	publication language code (e.g. pt - Portuguese, es - Spanish)
type	document type
pid	publication identifier
publication_year	publication year of publication
sponsor	sponsor
aff_country	country code of the author's affiliation
aff_institution	author affiliation institution
volume	article volume
issue	article issue
elocation	elocation
doi	DOI number
issn	journal ISSN
in	SciELO colection code (e.g. scl - Brasil, col - Colômbia)
use_license	article usage license code

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