Purpose This study was conducted to measure adiposity and to investigate related factors in preschoolers born prematurely.
Methods A longitudinal follow-up study was conducted with 52 preschoolers at 5 years of corrected age among 343 preterm infants. Their adiposity status was evaluated based on measurements of body mass index, subscapular and triceps skin fold thickness (SFT), waist circumference, waist-to-height ratio, and mid-arm circumference at a home visit.
Results The findings showed that SFT measurements, particularly at the triceps, reflected the degree of adiposity more accurately than other conventional measures. A shorter gestation, older maternal age, and the mother having more years of formal education were associated with higher levels of adiposity in the preschoolers.
Conclusion The adiposity of children born prematurely needs to be thoroughly monitored with additional SFT measurements, considering the risk of accelerated growth patterns overriding regular catch-up growth in children born prematurely.
Purpose The purpose of this study was to analyze differences in health behaviors among adolescents in order to provide fundamental data to develop an effective body weight control program.
Methods Secondary analysis was done using data from the 9th (2013) Online Survey on Adolescents’ Health Behaviors by the Korea Centers for Disease Control and Prevention. The adolescents were divided into low weight, normal weight, overweight, and obesity groups according to body mass index (BMI). Differences in health behaviors were analyzed.
Results Gender, grade, socioeconomic status, perceived-health status, exercise, breakfast, fast food, ramen noodles, snacks, carbonated soft drinks, fruits and vegetables, satisfaction with sleep, stress, smoking, and alcohol consumption were significantly different among the groups. Ingestion of carbonated soft drinks and snacks was significantly higher in the low weight group compared to the normal weight group. Eating fast foods, ramen noodles, and snacks was significantly lower in the overweight and obesity groups compared to the normal weight group.
Conclusion Findings indicate that health behaviors among the groups differ from traditional knowledge about obesity. To develop optimal programs and improve efficacy, prior knowledge should be used to think differently and individualized programs should be based on an understanding health behaviors of adolescents.
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The problem of childhood obesity is accelerating throughout the world. Korea is no longer an exception to this problem.
The following topics are discussed in this review article: 1) the linkage between childhood obesity and adult obesity, which is often associated with metabolic diseases such as type2 diabetes, hypertension, cardiovascular diseases, and certain cancers; 2) characteristics of childhood obesity; 3) measurement of obesity and its unique problem; 4) recent trends in interventions for childhood obesity. Lastly, the author points out that nurses are best suited for carrying out interventions to prevent obesity in childhood. As childhood obesity is a risk factor for persistence of obesity into adulthood, the need to consider the priority of prevention of obesity during childhood is emphasized in this review.
PURPOSE This investigation examined a model to predict body mass index in order to prevent later development of obesity among adolescents. The hypothesized model was developed based on the principle of Social Cognitive Theory that social influences predict perceptions of cognition as well as behavior. METHOD The 5,770 adolescents, aged 14-18 who participated in this study came from 11 separate school districts in Busan and Kyungnam province of South Korea. The adolescent surveys were administered in a group setting at the participating school. Of the 5770 surveys, adolescents with more than 10 percent missing data in the entire survey were excluded. The final sample contained 4,527 cases. The adolescents were included 2,250 (49.7%) males and 2,277 (50.3%) females. Data was analyzed Pearson correlation coefficients using SPSS 12 program and structural equation model (SEM) using Maximum Likelihood estimation was employed using Amos 5.0. RESULTS Social support directly affects cognitive determinants. Cognitive determinants directly affect behavior determinants which directly affect BMI. Cognitive and behavioral factors mediated the relationship between social support and BMI (GFI= 0.984, CFI= 0.974, RMSEA=0.031). CONCLUSION Social levels should be supportive to help adolescents have healthier behaviors. This support can be accomplished by providing frequent support to establish positive cognitive factors as the foundation of the solution to prevent overweight and obesity.
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