Multivariate hierarchical model for physical inactivity among public school children

Area of Science:

• Pediatric Health
• Public Health
• Epidemiology

Background:

• Childhood physical inactivity is a growing public health concern.
• Identifying associated factors is crucial for targeted interventions.
• Understanding determinants in diverse populations, like Brazilian public school children, is essential.

Purpose of the Study:

• To identify biological and sociodemographic factors associated with physical inactivity.
• To explore these associations in a population of public school children in São Paulo, Brazil.

Main Methods:

• A cross-sectional study involving 2,519 children aged 7-10 years.
• Parental self-administered questionnaires were used to collect data.
• Multiple correspondence analysis, cluster analysis, and ROC curve analysis were employed.

Main Results:

• Physical inactivity was positively associated with being overweight, older age (over 7.5 years), being female, and having a good appetite.
• Socioeconomic factors linked to inactivity included infrequent garbage collection (less than twice weekly) and mothers working outside the home.

Conclusions:

• Parental questionnaires and sophisticated statistical analysis are viable tools for population-based studies on physical activity in children under 10.
• Findings align with existing literature on childhood physical activity determinants.