Related Experiment Video
Updated: May 29, 2025

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Estimating population attributable risk fraction of determinants of pediatric obesity
Maryam Yazdi1, Ibrahim Abdollahpour2, Mostafa Qorbani3,4
1Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Science, Hezar Jarib Ave, Isfahan, 8174674419, Iran.
Insights
Unhealthy dietary habits, prolonged screen time, and higher socioeconomic status contribute to childhood obesity in Iran. Addressing these modifiable factors is crucial for future intervention strategies to combat this growing health issue.
Area of Science:
- Public Health
- Pediatrics
- Epidemiology
Background:
- Childhood obesity presents a significant global health and socioeconomic challenge.
- The prevalence of childhood obesity is increasing worldwide, necessitating research into its contributing factors.
- Understanding modifiable risk factors is key to developing effective prevention and intervention strategies.
Purpose of the Study:
- To investigate the association between modifiable lifestyle factors and obesity in Iranian children and adolescents.
- To determine the population attributable risk fraction (PARF) for identified obesity risk factors in this demographic.
Main Methods:
- A nationwide cross-sectional study involving 12,153 school-aged students.
- Data collected via physical examination and self-administered questionnaires on diet, physical activity, screen time, sleep, socioeconomic status (SES), and passive smoking.
- Logistic regression and PARF calculations were employed to analyze risk factor associations and their population-level impact.
Main Results:
- The overall prevalence of obesity among Iranian children and adolescents was 10.4%.
- Unhealthy dietary habits, moderate to high family SES, body shape dissatisfaction, and prolonged screen time were significantly associated with obesity.
- An estimated 33.2% of obesity cases in this population could be attributed to these modifiable factors.
Conclusions:
- A substantial portion of childhood and adolescent obesity in Iran is linked to unhealthy dietary patterns, extended screen time, and higher family SES.
- These findings underscore the importance of targeting these modifiable factors in public health initiatives.
- The study provides valuable data for designing and implementing effective obesity interventions for young populations.
Objectives:
Childhood obesity imposes a remarkable socio-economic and health-related burden, with an increasing worldwide trend. We aimed to assess the relationship between modifiable factors and obesity in Iranian children and adolescents along with to determine the population attributable risk fraction (PARF) for the risk factors of obesity in Iranian children and adolescents.
Methods:
This is a nationwide cross-sectional study involving 14,400 school-aged students. In addition to physical examination, a self-administered questionnaire was completed to obtain the study variables including dietary behavior, physical activity, screen time, sleep duration, socioe-conomic status (SES), and passive smoking. Logistic regression models were applied to assess the relationship between modifiable risk factors and obesity. Population attributable risk fractions (PARFs) were used to estimate the prevalence of obesity if demonstrated modifiable risk factors would be removed.
Results:
Of 14,400 recruited students, data on 12,153 subjects were analyzed in the current study. The mean (SD) age of participants was 12.3 (3.16) years, and 49.1% were female. Overall prevalence of obesity was 10.4%. In total, 33.2% of obesity in Iranian children and adolescents might be attributed to unhealthy dietary habits, moderate or high familial SES, body shape dissatisfaction, and prolonged screen time.
Conclusions:
Considering the inherent limitations of the cross-sectional studies, our findings suggest that a notable proportion of obesity in children and adolescents might be attributable to unhealthy dietary habits, prolonged screen time as well as higher family SES. These findings may provide insights for planning and optimizing future obesity intervention endeavors.
Related Concept Videos
Relative Risk
Odds Ratio
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Probability Laws
Sample Proportion and Population Proportion
Causality in Epidemiology

