Development and Validation of POCOKIDS‐Q—A Questionnaire to Assess Post COVID‐19 Symptoms in Children DOI Creative Commons
Charlotte Angelhoff,

M. Jedenfalk,

Eva Fernlund

и другие.

Acta Paediatrica, Год журнала: 2025, Номер unknown

Опубликована: Апрель 13, 2025

ABSTRACT Aim To identify the symptom burden in children and adolescents with post COVID‐19, a validated reliable instrument is needed, particularly to assess symptoms their impact on child. The aim of this study was describe development, validation, reliability Post COVID‐19 Kids Questionnaire (POCOKIDS‐Q), which designed adolescents. Methods POCOKIDS‐Q developed based literature, clinical experience, questionnaires for adults COVID‐19. linguistic validation involved 9‐ 17‐year‐old children. Children onset were asked complete final version through web link. Exploratory confirmatory factor analyses performed structure that explains covariances between variables. Results link opened 324 times fully completed by 213 (66%) young (median age 14 years) symptoms. Confirmatory revealed four significant correlated factors: brain fatigue, cognitive impact, physical emotional impact. explanatory power model high. Conclusion applicable assessing adults.

Язык: Английский

Development and Validation of POCOKIDS‐Q—A Questionnaire to Assess Post COVID‐19 Symptoms in Children DOI Creative Commons
Charlotte Angelhoff,

M. Jedenfalk,

Eva Fernlund

и другие.

Acta Paediatrica, Год журнала: 2025, Номер unknown

Опубликована: Апрель 13, 2025

ABSTRACT Aim To identify the symptom burden in children and adolescents with post COVID‐19, a validated reliable instrument is needed, particularly to assess symptoms their impact on child. The aim of this study was describe development, validation, reliability Post COVID‐19 Kids Questionnaire (POCOKIDS‐Q), which designed adolescents. Methods POCOKIDS‐Q developed based literature, clinical experience, questionnaires for adults COVID‐19. linguistic validation involved 9‐ 17‐year‐old children. Children onset were asked complete final version through web link. Exploratory confirmatory factor analyses performed structure that explains covariances between variables. Results link opened 324 times fully completed by 213 (66%) young (median age 14 years) symptoms. Confirmatory revealed four significant correlated factors: brain fatigue, cognitive impact, physical emotional impact. explanatory power model high. Conclusion applicable assessing adults.

Язык: Английский

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