This analysis was conducted as part of a cross-sectional study exploring how heatwaves affect the health, well-being, and daily lives of children, young people, and parents (CYPP) in six urban cities. Quantitative data from online surveys were analyzed using IBM SPSS Statistics Version 30. Descriptive statistics were used to summarize participant characteristics, reported symptoms, well-being, and disruptions to daily activities. To compare differences between heatwave and non-heatwave periods, t-tests were used for continuous variables and chi-square tests for categorical variables. Logistic regression models (binary and ordinal) were used to assess associations between heatwave exposure and health or activity-related outcomes, adjusting for demographics and air quality. Survey responses from ineligible participants (e.g., those who did not meet age requirements) were reviewed for exclusion reasons but were not included in the final analysis. Qualitative responses to open-ended questions were analyzed thematically using NVivo Version 15 to identify common ideas for improving urban health and sustainability.

Data analysis, Heatwave, High Air Pollution