• Research in Community and Public Health Nursing
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• v.26 no.3
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• pp.292-302
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• 2015

Purpose: The purpose of this study was to examine the association between health behaviors and health-related quality of life (HRQOL) among vulnerable children in a community. Methods: Using data from 'The Obesity Prevention Framework for Vulnerable Children', a secondary analysis was conducted for 165 children (ages 8~12 years) and their parents who were recruited from 16 K-gu Community Child Centers in Seoul. Six types of health behaviors related to eating and activity were assessed. Each behavior was categorized into the non-recommended vs. recommended levels. The scores of the recommended levels of the six health behaviors were summed up for the composite score of health behaviors. HRQOL was measured by KIDSCREEN-52. Results: The groups with a non-recommended level of fast food intake and sedentary behavior had a significantly lower total score of KIDSCREEN-52 than those with a recommended level. Moreover, the lower composite score of health behaviors was significantly associated with the lower total score of KIDSCREEN-52. Conclusion: Among the vulnerable children, the six recommended health behaviors and their composite score were in significant positive associations with the HRQOL levels. Therefore, nursing strategies for enhancing the recommended levels of health behaviors are needed for vulnerable children.

• Korean Journal of Community Nutrition
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• v.23 no.3
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• pp.193-201
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• 2018

Objectives: This study was conducted to measure the intake rate of SSBs (sugar sweetened beverages) and examine the relationship between health behavior factors and SSBs intake by adolescents. Methods: This study used data from the 2016 Korea Youth Risk Behavior Web-based Survey, which included 65,528 study participants. SSBs intake frequency was measured by asking respondents if they consumed soda, high-caffeinated beverages, and sugary drinks during the previous week. Type of intake was categorized into three groups according to the number of consumed drinks [SSBs (0): None; SSBs (1-2): 1 or 2 consumed; SSBs (3): 3 consumed]. Multinomial logistic regression analysis was used to examine health behaviors that affected SSBs consumption. Results: Increased SSBs intake was significantly correlated with current smoking (OR=2.4, 95% CI=1.82-3.17), current drinking (OR=2.13, 95% CI=1.82-2.51), sedentary time increase (OR=1.31, 95% CI=1.15-1.49), three days or more physical activity per week (OR=1.12, 95% CI=1.02-1.24), <8 hours sleep (OR=1.6, 95% CI=1.43-1.78), increased internet usage time (OR=1.44, 95% CI=1.25-1.65). Conclusions: Sugar-sweetened beverages intake by Korean adolescents was associated with health behaviors such as smoking, drinking, sedentary time increase, more physical activity, poor sleeping time, and increased internet use time. Based on these results, it is necessary to recognize the influence of SSBs intake and to intervene to reduce consumption of SSBs.

• Journal of Korea Entertainment Industry Association
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• v.13 no.5
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• pp.127-138
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• 2019

This study was a secondary data analysis using statistics from the 13th (2017) Korea Youth Risk Behavior Web-based Survey (KYRBS) to investigate the relationship between health behaviors and physical activity among Korean adolescents. A total of 62,276 adolescents in middle and high schools enrolled in this study. Physical activity utilized moderate and vigorous physical activity variables. Health behaviors used smoking, drinking, eating, sedentary behavior, and sleep duration variables. Statistical analyses were performed applying complex sample analysis method. Chi-square tests were used to compare physical activity according to health behaviors. Multivariate multinomial logistic regression analyses were conducted to examine the relationship between health behaviors and physical activity, adjusted for general characteristics. Current smoking and current drinking were associated with high levels of moderate and vigorous physical activity. Consuming fruits≥1 times/day, vegetables≥3 times/day, and sweet drinks≥3 times/week were associated with high levels of moderate and vigorous physical activity. Eating breakfast≥5 times/week was associated with high levels of moderate physical activity, but not with vigorous physical activity. Sedentary behavior≥2 hour/day was associated with low levels of moderate and vigorous physical activity. Sleep duration<7 hour/day was associated with high levels of moderate physical activity and low levels of vigorous physical activity. These findings suggest that since there is an interrelationship between health behaviors and physical activity among adolescents, intervention programs aiming at promoting physical activity and healthy lifestyles should consider a multiple behavior approach rather than an individual behavior approach.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.7
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• pp.4734-4744
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• 2015

The purpose of this research is to investigate factors that influence weight control behavior(WCB) of young women in Korea. Data were obtained from the 2013 Community Health Survey which was conducted nationally. The study subject comprised 13,351 women ranging in age from 19 to 29. Data were analyzed using ${\chi}2$-test and multivariate logistic regression analysis. WCB showed differences in age, marital status, education, family type, BMI, perceived health status, subjective obesity, high risk drinking, weekday sedentary leisure-time activity, breakfast skipping, sleeping time, perceived stress, depression and suicidal ideation. And the significant predictors of WCB were age, marital status, education, family type, BMI, perceived health status, subjective obesity, high risk drinking, weekday sedentary leisure-time activity, perceived stress and depression. In conclusion, it is suggested that approach to WCB should be considered in correlation between WCB and other health behaviors.

• Nutrition Research and Practice
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• v.17 no.6
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• pp.1185-1200
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• 2023

BACKGROUND/OBJECTIVES: In the United States, one in every 5 children is obese with greater likelihood in low-income households. The coronavirus disease 2019 (COVID-19) pandemic may have accelerated disparities in child obesity risk factors, such as poor dietary intake and increased sedentary behaviors, among low-income families because of financial difficulties, social isolation and other struggles. This study reveals insights into nutrition and health challenges among low-income families of young children in West Texas to better understand needs and develop interventions. SUBJECTS/METHODS: In-depth individual interviews were performed via Zoom among 11 families of children under the age of 3. A semi-structured interview guide was developed to explore 3 areas: changes in (1) dietary intake and (2) sedentary behaviors and (3) families' preferences regarding a parent nutrition education program. Each interview was audiorecorded, transcribed, and coded using MaxQDA software. RESULTS: Eating together as a family become challenging because of irregular work schedules during the COVID-19 pandemic. Most parents stated that their children's dietary habits shifted with an increased consumption of processed foods. Many parents are unable to afford healthful foods and have utilized food and nutrition assistance programs to help feed their families. All families reported that their children's screen time substantially increased compared to the pre-pandemic times. Moreover, the majority of parents did not associate child screen time with an obesity risk, so this area could be of particular interest for future interventions. Meal preparation ideas, remote modality, and early timing were identified as key intervention strategies. CONCLUSIONS: Online nutrition interventions that emphasize the guidelines for child screen time and regular meal routines will be effective and promising tools to reach low-income parents for early childhood health promotion and obesity prevention.

• The Journal of Korean society of community based occupational therapy
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• v.10 no.2
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• pp.47-61
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• 2020

Objective : This study aim to identify the relationships among the types of physical activities included related included related work, sports, leisure, transport and sedentary behaviors and mental health in elderly person. Methods : We analyzed using the data of the 7th Korea National Health and Nutrition Examination Survey(KNHANES VII-1) of 978 subjects who underwent the types of physical activities, quality of life, depression, level of stress, and sleeping hours survey. For statistical analysis, the Complex samples linear regression was used for relationships among the variables. Results : High level of physical activity and house-keeping activity associated negatively on health related quality of life. Mid-High level of leisure activities associated positively on health related quality of life. Contrasting from other studies, which show sedentary activities associated negatively on the health related quality of life, and sedentary activities associated positively on the health related quality of life and mental health. Conclusion : This study shows that physical and leisure activity of an elderly person whilst sedentary activities related positively on health related quality of life, and physical activities related to labor associated negatively on health related quality of life. Future studies should be referred when planning an occupation-focused and meaningful activity program for the elderly people.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.11 no.sup1
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• pp.93-101
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• 2008

Management of obesity needs good rapport among pediatrician, parents and children. Through motivational interview, pediatrician should explore practical ways to modify the eating behaviors conducive to obesity. Imbalance between energy intake and consumption contributes to weight gain. Therefore decrease of sedentary behavior (screen time <2 hrs) and increase of physical activity (>60 minutes) is also important in management of obesity. The goal of management is the long-term healthy life though healthy behaviors. Creating a home environment that supports healthy habits and behaviors is an important key to modifying lifestyle behaviors. For example, increasing intake of vegetables and fruits, restriction of sweetened beverage, education of healthy selection of foods, and frequent family dinner may be advisable. Family members should change their own behaviors in order to help their children. Parents should be positive role model and monitor their children authoritatively but not restrictively.

• Journal of Nutrition and Health
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• v.37 no.5
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• pp.385-393
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• 2004

This study examined the relations of educational level and life-style behaviors to the obesity. A total of 507 male adults aged 30 - 50 years completed the self-reported questionnaires. Educational level was used for measuring socioeconomic status. Activity at work, leisure-time activity and TV watching were measured for life-style behaviors related to physical activity, and some demographic and family history of disease as well. Subjects were categorized as obese when BMI was equal to or over 25kg/$m^2$, in which 19.7％ resulted obesity. Using multivariate logistic regression, the association between the measured factors and obesity was assessed. The odds ratios (OR) for risk of obesity did not differ with either age or monthly income. Subjects who completed high school (OR = 0.36; 95％ CI = 0.20 - 0.66) or university (OR = 0.34; 95％ CI = 0.16 - 0.71) had lower risk of obesity than those with education below middle school. Those with moderate activity level at work (OR = 0.41; 95％ CI = 0.24 - 0.72) showed lower risk of obesity than in inactive ones. The subjects watching TV more than 3.5 hr/day presented higher risk of obesity (OR = 2.46; 95％ CI = 1.28 - 4.74), compared with those watching TV less than 1.5 hr/day. The higher risk of obesity observed in high level of leisure time activity than in low one was considered due to that physical activity at work and leisure-time might counteract each other. Educational level and activity at work or leisure-time activity or TV watching were jointed and categorized, and then OR for obesity was estimated. The extent of obesity risk at a given level of each work activity or leisure-time activity or TV watching was different depending the educational level, which was significantly high when educational level was below middle school. Educational difference had no effect on activity level at work. However, higher educational attainment increased the leisure activity and reduced TV watching (p＜0.05), indicating that low education tended to contribute to more sedentary life-style. The findings of this study is concluded that low education was related to obesity in adult males, and its relation can partly be explained through acquiring inactive life-style behaviors. Individuals with low education might be more susceptible to the risk factors of obesity.

• Korean Journal of Community Nutrition
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• v.13 no.3
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• pp.386-395
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• 2008

Since obesity has been a crucial issue regarding children's health in Korea, numerous studies have been conducted. However, it is difficult to locate studies that can help researchers and/or medical professionals who want to study behavioral differences between obese and normal weight (non-obese) children. The collected literature about obese childrens behaviors were accumulated by performing 'key word' searches from several web engines: 'obesity' 'children obesity' 'behavior' 'habit' 'eating behavior or habit' 'exercise' 'physical activity' and 'daily behavior'. The information was extracted and the behaviors were reviewed utilizing 30 papers that revealed any differences from normal weight children with at least p .05 level of significance. According to those studies, the obese children tended to skip meals more often as a method of losing weight. They also have an increased appetite, eat larger portions and rarely leave food on their plates. The obese children prefer to eat high fat, high calorie foods and eat faster than their normal weight counterparts. Also, the children usually eat alone and eat at irregular meal times. Beside the behaviors related to the standard three meals a day, obese children have high preferences for snacking. The children reported that with pocket money they usually eat certain types of snacks without parent approval. The children stated that they exercise more on a regular basis. However, when asked about their participation they were not likely to engage actively. Meanwhile, they tend to spend free time doing sedentary activities such as watching TV or playing on the computer. Since these studies used self -reported questionnaires with a small sample, size there may be difficulty in forming a basis about obese children's behaviors. Nevertheless, these findings are in accordance with other studies conducted in local as well as western countries. In conclusion, obese children have different daily behaviors or routines from normal weight children. It is recommended that altering these behavioral patterns to match those of normal weight children should be encouraged.

• Journal of Preventive Medicine and Public Health
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• v.39 no.3
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• pp.221-228
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• 2006

Objectives: The purpose of this study was to shed further light on the effect of modifiable health behavior risk factors on dependence in activities of daily living, defined in a multidimensional fashion. Methods: The study participants were 10,278 middle aged Americans in a longitudinal health study, the Health and Retirement Survey (HRS). A multi-stage probability sampling design incorporating the effect of population sizes (Metropolitan and non-metropolitan), ethnicity (the non- Hispanic White, the Hispanic, and the Black), and age (age 51-61) was utilized. Basic Activities of Daily Living (ADL) were measured using five activities necessary for survival (impairment in dressing, eating, bathing, sleeping, and moving across indoor spaces). Explanatory variables were four health behavior risk factors included smoking, exercise, Body Mass Index (BMI), and alcohol consumption. Results: Most participants at baseline were ADL independent (1992). 97.8% of participants were independent in all ADL's at baseline and 78.2% were married. Approximately 27.5% were current smokers at baseline, and the subjects reported moderate or heavy exercise were 74.8%. All demographic characteristics and behavioral risk factors were significantly associated with the ADL status at Wave 4 except alcohol consumption. Risk behaviors such as current smoking, sedentary life style and high BMI at Wave 1 were associated with ADL status deterioration; however, moderate alcohol consumption tended to be more related to better ADL status than abstaining at Wave 4. ADL status at Wave 1 was the strongest factor and the next was exercise and smoking affecting ADL status at Wave 4. People who were in ADL dependent at Wave 1 were 15.17 times more likely to be ADL dependent at Wave 4 than people who were in ADL independent at Wave 1. Concerning smoking cigarettes, people who kept only light exercise or sedentary life style at Wave 1 were 1.70 times more likely to be died at Wave 4 than the people who did not smoke at Wave 1. Conclusions: All demographics and health behaviors at wave 1 had consistently similar OR trends for ADL status to each other except alcohol consumption. Smoking and exercise in health behaviors, and age and gender in demographics at Wave 1 were significant factors associated with ADL group separation at Wave 4.