METHODS AND STUDY DESIGN: Using a stratified multi-stage sampling, a total of 816 children (282 boys and 534 girls) aged 10 to 11 years from 12 selected primary schools in the state of Selangor, participated in this study. Data were collected on socio-demographic characteristics, pubertal status and disordered eating behaviors. The Pubertal Development Scale and the Children's Eating Attitudes Test (ChEAT) were used to assess pubertal status and disordered eating, respectively. Logistic regression analysis was conducted to determine the risk factors of disordered eating.
RESULTS: The prevalence of disordered eating was 30.8% (32.8% in boys and 29.7% in girls). However, the sex difference in the prevalence was not statistically significant. Age, ethnicity and pubertal status were significantly associated with disordered eating in univariate logistic regression analysis. Multivariate logistic regression analysis showed that among boys, being either in an advanced or post-pubertal stage (adjusted OR=8.64) and older age group (adjusted OR=2.03) were risk factors of disordered eating. However, among girls, being a Malay (adjusted OR=3.79) or Indian (adjusted OR=5.04) in an advanced or post-pubertal stage (adjusted OR=2.34) and older age group (adjusted OR=1.53) were risk factors of disordered eating.
CONCLUSION: This study found one in three children had disordered eating. Since ethnicity and pubertal status were identified as risk factors, ethnicity-specific intervention programs on the prevention of disordered eating among children should take into consideration their pubertal status.
RECENT FINDINGS: Definition of EIU and its conceptualization still requires refinement. Recent studies indicate a changing trend towards female predominance of EIU. Women also differ in their internet use compared with men regarding their preference in the internet content and online activities, motives of use and factors related to access to the internet, including the device, sociocultural restrictions, etc. The correlates and sequelae of EIU encompass psychological, physical, biological, family and social domains that could form the basis of identifying individuals at risk and strategizing treatment.
SUMMARY: The findings indicate the need for standardization in definition and measures of EIU for better recognition of EIU and identification of its at-higher-risk females. Effective preventive and treatment measures are still limited by various methodology flaws outlined here.