Factors influencing health-related quality of life of overweight and obese children in South Korea.

The purpose of this study was to identify factors influencing health-related quality of life (HRQoL) of overweight and obese children in Korea. This study employed a cross-sectional descriptive study design. A total of 132 overweight and obese children participated in the study. Anthropometric measurements included body mass index, percent body fat, and waist-hip ratio. The instruments included lifestyle patterns, psychosocial characteristics (stress, self-esteem, and depression), and HRQoL. The study found that significant predictors of HRQoL included self-esteem, depression, and physical stress; these variables accounted for 58.7% of the variance (p < .05), while children with low monthly household income had significantly lower HRQoL, compared with that of their counterparts (p < .05). HRQoL has multiple dimensions, thus, in addition to lifestyle change, health programs for overweight and obese children should focus on psychological health, and consider social and environmental factors as well.

What Are the Barriers at Home and School to Healthy Eating?: Overweight/Obese Child and Parent Perspectives.

BACKGROUND: Most studies that have investigated factors influencing eating habits among obese children have focused mainly on individual or interpersonal factors and applied quantitative research methods. PURPOSE: This study was undertaken to identify the barriers in home and school settings that hamper healthy eating in overweight and obese children in South Korea. METHODS: Focus group interviews were conducted with 15 overweight/obese children and 15 parents. A standard manual with open-ended questions was developed. Content analysis was used to identify key findings. RESULTS: Participants were aware of the importance of home and school environments in shaping children's eating habits. Five major barriers, respectively, at home and at school emerged from the data. At home, the food preferences of parents affected the eating habits of their children. Moreover, parents worried about providing differentiated diets for siblings and about the permissiveness of grandparents toward grandsons. Furthermore, working parents preferred easy-to-prepare instant foods and said that their children ate overly quickly. At school, children cited time pressures, poor cafeteria environments, and ineffective nutrition education as barriers, whereas parents worried about inconsistent management by teachers and the unsafe food environment around the school. CONCLUSIONS: These environment-related barriers may be resolved through changes in the behavior of children, parents, and teachers as well as through the continued efforts of schools, community stakeholders, and policymakers, all of whose cooperation is essential to fostering a healthy food environment for children.

Symptom Science: Advocating for Inclusion of Functional Genetic Polymorphisms.

Incorporating biologically based data into symptom science research can contribute substantially to understanding commonly experienced symptoms across chronic conditions. The purpose of this literature review was to identify functional polymorphisms associated with common symptoms (i.e., pain, sleep disturbance, fatigue, affective and cognitive symptoms) with the goal of identifying a parsimonious list of functional genetic polymorphisms with evidence to advocate for their inclusion in symptom science research. PubMed was searched to identify genes and functional polymorphisms associated with symptoms across chronic conditions, revealing eight functional genetic polymorphisms in seven different genes that showed evidence of association with at least three or more symptoms and/or symptom clusters: BDNF rs6265, COMT rs4680, FKBP5 rs3800373, IL-6 rs1800795, NFKB2 rs1056890, SLC6A4 5-HTTLPR+rs25531, and TNFA rs1799964 and rs1800629. Of these genes, three represent protein biomarkers previously identified as common data elements for symptom science research (BDNF, IL-6, and TNFA), and the polymorphisms in these genes identified through the search are known to impact secretion or level of transcription of these protein biomarkers. Inclusion of genotype data for polymorphisms offers great potential to further advance scientific knowledge of the biological basis of individual symptoms and symptom clusters across studies. Additionally, these polymorphisms have the potential to be used as targets to optimize precision health through the identification of individuals at risk for poor symptom experiences as well as the development of symptom management interventions.