Objective: This study compares the level of quality of life (QoL) and its influencing factors on children with asthma before and during the COVID-19 pandemic.

Methods: The study carried out cross-sectional surveys on children with asthma and their parents in China before and during the epidemic. Data were collected using a demographic questionnaire, the Family Management Scale for Children with Asthma (FMSCA), and the Pediatric Asthma Quality of Life Questionnaire (PAQLQ). Participants from before the epidemic were matched by their propensity score in a 1:1 ratio with individuals from during the epidemic. The level of QoL of children with asthma was subsequently analyzed. Both univariate analysis and multiple linear regression were employed to identify the influencing factors.

Results: Compared to their level before the epidemic, the total score of PAQLQ and its three dimensions decreased during the epidemic. Regression analysis revealed that before the epidemic, the total score of PAQLQ was significantly associated with follow-up visits, attendance of asthma lectures, and the total score of FMSCA ( < 0.05). During the epidemic, the total score of the PAQLQ was significantly associated with three dimensions of the FMSCA (future expectation, children identity, and views of condition), and two classifications of the family management styles (FMS) (enduring and accommodating) ( < 0.05).

Conclusion: The QoL of children with asthma deteriorated during the epidemic. Influencing factors changed during the epidemic, with more emphasis on the family environment. Future intervention strategies need to take into account the development of interactions between children and environmental forces.

Download full-text PDF

Source
http://dx.doi.org/10.1080/02770903.2023.2272808DOI Listing

Publication Analysis

Top Keywords

children asthma
20
quality life
12
total score
12
influencing factors
8
factors children
8
epidemic total
8
score paqlq
8
asthma
7
epidemic
6
children
5

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!