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Prevalence and Predictors of Overweight and Obesity among Young Children in the Children's Healthy Living Study on Guam.

Rachael T Leon GuerreroL Robert BarberTanisha F AflagueYvette C PaulinoMargaret P Hattori-UchimaMark AcostaLynne R WilkensRachel Novotny
Published in: Nutrients (2020)
This study is part of the Children's Healthy Living program in U.S. Affiliated Pacific region. The objectives were to estimate overweight and obesity (OWOB) prevalence and identify possible related risk factors among ethnic groups in Guam. In 2013, 865 children (2-8 years) were recruited via community-based sampling from select communities in Guam. Children's demographic and health behavior information; dietary intake; and anthropometric measurements were collected. Logistic regression, odds ratio, t-tests, and chi-square tests were used to determine differences and assess covariates of OWOB. The results indicate that 58% of children were living below the poverty level, 80% were receiving food assistance, and 51% experienced food insecurity. The majority of children surveyed did not meet recommendations for: sleep duration (59.6%), sedentary screen-time (83.11%), or fruit (58.7%) and vegetable (99.1%) intake, and consumed sugar sweetened beverages (SSB) (73.7%). OWOB affected 27.4% of children. Children affected by OWOB in this study were statistically more likely (p = 0.042) to suffer from sleep disturbances (p = 0.042) and consume marginally higher amounts (p value = 0.07) of SSB compared to children with healthy weight. Among Other Micronesians, children from families who considered themselves 'integrated' into the culture were 2.05 (CI 0.81-5.20) times more likely to be affected by OWOB. In conclusion, the OWOB prevalence among 2-8-year-olds in Guam was 27.4%; and compared with healthy weight children, children with OWOB were more likely to have educated caregivers and consume more SSBs. Results provide a basis for health promotion and obesity prevention guidance for children in Guam.
Keyphrases
  • young adults
  • risk factors
  • physical activity
  • healthcare
  • type diabetes
  • risk assessment
  • metabolic syndrome
  • weight loss
  • public health
  • body mass index
  • body composition
  • health promotion
  • social media