• Journal of Preventive Medicine and Public Health
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• v.30 no.1 s.56
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• pp.181-193
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• 1997

The purpose of this study was to identify population subgroups with similar patterns of diet quality, physical activity, alcohol consumption and cigarette smoking of Korean. The cluster analysis was conducted using the data from Korea National Health Survey(KNHS) in 1995, which consisted of 5,805 persons. We identified six health behavior typologies : 32.9% of the sample had a good diet but sedentary activity level(good diet lifestyle), 7.2% had high activity level but less diet quality(fitness lifestyle). Individuals in the passive lifestyle cluster(39.1%) had no active health promoting activities but tended to avoid risk taking health behavior such as cigarette smoking and alcohol drinking. 1.1% of the sample were in a drinking cluster, 17.2% in a smoking cluster and 2.5% had a hedonic lifestyle characterized by heavy drinking and smoking. The other characteristics of these lifestyle clusters could be presented by demographic and socioeconomic factors.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.395-404
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• 2022

The purpose of this study is to prevent obesity in the elderly and to seek differentiated intervention measures according to education level by comparing and analyzing the factors influencing obesity in single-person households according to education level. Using the data from the National Health and Nutrition Survey in 2020, cross-analysis and logistic regression analysis were conducted through data of a total of 400 respondents, and the analysis showed vulnerability in physical activities that could affect obesity if the education level was low, and risk factors such as eating out and sodium intake were high. As a result of comparative analysis of influencing factors through the classification of education levels, sedentary time was a risk factor in the low-education group, and sodium intake was a risk factor for obesity in the high-education group. Through this, it was discussed the need for healthy nutrition and physical activity education for middle-aged and elderly single-person households, and differentiated intervention according to the level of education.

• Korean Journal of Community Nutrition
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• v.29 no.2
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• pp.81-96
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• 2024

Objectives: This study aimed to investigate arterial stiffness index, physical activity, and food and nutrient intake in middle-aged adults over 40 years when the incidence of cardiovascular disease begins to increase. Methods: This study included 106 subjects (48 males and 58 females) aged between 40 and 64 years. The arterial stiffness index (brachial-ankle pulse wave velocity [baPWV], and ankle-brachial index [ABI]) were measured using a blood pressure pulse wave testing device. Physical activity was assessed using the Korean version of the Global Physical Activity Questionnaire, and food and nutrient intake was calculated using the Food Frequency Questionnaire. Results: The mean age of the subjects was 54.4 years. Although the ABI of the subjects was within the normal range, they were divided into tertiles to compare physical activity and food and nutrient intake. In males, the time spent on moderate to vigorous physical activity (MVPA) was significantly higher in T3 (600.6 min/week) than in T1 (304.4 min/week). In females, the time spent in sedentary behavior was significantly lower in T3 (294.5 min/week) than in T1 (472.1 min/week). In addition, the frequency of fish consumption was significantly higher in T3 (1.27 frequency/day) than in T1 (0.64 frequency/day) in females. Polyunsaturated fatty acid (PUFA) and ω-3 fatty acid intake, adjusted for energy intake, were significantly positively correlated with ABI (r = 0.200 and r = 0.218, respectively). Conclusions: High MVPA (in males), low sedentary behavior (in females), and PUFA and ω-3 fatty acid intake through fish consumption may be associated with low peripheral artery stiffness. Therefore, arteriosclerosis can be prevented through physical activity and proper dietary therapy.

• 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 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.

• 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.

• Nutrition Research and Practice
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• v.4 no.4
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• pp.317-322
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• 2010

Prevalence of childhood obesity is increasing significantly worldwide due to energy imbalance perhaps stemming from undesirable dietary behavior and physical activity level. The objective of the study was to examine the effects of physical activity level on nutritional status in elementary school students. The subjects were comprised of 287 elementary school students between 4th and 6th grades in Seoul, Korea. The level of physical activity was scored with a modified Godin leisure-time exercise questionnaire and was categorized as active, moderately active, and sedentary. Dietary intakes were obtained using a 24-hour food recall method. An analysis of variance (ANOVA) was conducted to test for global significant differences of nutrient intakes by physical activity level. Boys were more active than girls. Daily intakes of energy in moderately active boys were significantly higher than in the sedentary group, but intakes of calcium and iron in moderately active boys were lower than active boys. For girls, physical activity level did not affect nutrient density at all. Intakes of calcium, vitamin C, and folate for both boys and girls were below 50% of recommended intake. Physical activity did not affect nutrient density and our participants were exposed to nutritional imbalance. Therefore, the results suggest that nutrition education regarding balanced diet and optimum physical activity is required for children's health and growth.

• Journal of Korean Biological Nursing Science
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• v.18 no.4
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• pp.203-212
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• 2016

Purpose: The purpose of this study was to identify the sleep patterns of nursing students using self-report questionnaire and physiologic measurement, to examine the factors influencing sleep patterns in based on Spielman's model. Methods: Participants were 119 nursing students who were in the clinical practice period. Self-report questionnaires and actigraphy were used to collect the data. Data were analyzed using descriptive statistics, correlation and regression by the SPSS/WIN 21.0 programs. Results: When sleep was measured by self-report questionnaire, 84 students (70.6%) showed poor sleep quality. The mean sleep efficiency was 82.6%, and 67 students(56.3%) showed low sleep efficiency (less than 85.0%). The factors affecting subjective sleep pattern measured by KMLSEQ were circadian sleep type (${\beta}=.28$, ${\rho}=.003$) and alcohol (${\beta}=.20$, ${\rho}=.031$). The factors affecting total sleep time were sedentary behavior (${\beta}=-.27$, ${\rho}=.003$) and daytime sleepiness (${\beta}=-.33$, ${\rho}$<.001). Conclusion: Many nursing students in their clinical practice period expressed sleep disturbance. Factors affecting the perceived sleep measured by the self-report questionnaire and objective sleep evaluated by physiologic measures were different. The evening type of students perceived poor sleep quality, however, sedentary life style and daytime sleepiness resulted in short sleep time. Therefore, more studies measuring the objective sleep characteristics are needed using subjective and objective characteristics.

• International Journal of Contents
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• v.9 no.3
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• pp.62-66
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• 2013

Insulin resistance is a risk factor for stroke or recurrent stroke. Sedentary behavior increases insulin resistance. This study aimed to identify the relationship between physical impairments and functions and insulin resistance, examining which physical impairments specifically influence insulin resistance the most. The subjects of this study were 63 stroke patients. The subject's insulin resistance and physical impairments and functions were measured using the Chedoke-McMaster Stroke Assessment (CMSA) and Stroke Impairment Assessment Set (SIAS). The study results exhibited that insulin resistance is statistically significantly related to the variable of foot according to the CMSA(r=.95, p<.05) and to the variable of lower extremity sensory function (touch) in relation to the SIAS(r=.91, p<.05). This study also revealed close correlations between insulin resistance and the variables of ankle control(${\beta}=-1.05$, p<.05) and low extremity tactile sensations(${\beta}=-1.82$, p<.05).

• Journal of Korean Biological Nursing Science
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• v.16 no.2
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• pp.98-104
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• 2014

Purpose: The purpose of this study was to assess sleep quality and to identify predictors of poor sleep quality in nursing students. Methods: The participants surveyed were 302 individuals at G College located in Kangwon-do. The participants completed the questionnaire including demographic characteristics, health behavior, and the Pittsburgh Sleep Quality Index (PSQI) for sleep quality. The BMI was calculated using height and weight. For the statistical analysis, $X^2$ test, Spearman correlation, and logistic regression were performed using the SAS window (version 9.2) program. Results: From the 302 individuals, 219 (72.5%) had poor sleep quality. The results showed significant correlations between physical activity and sleep quality, as well as between sleep duration and sleep quality. The BMI and sleep quality did not show any significant relationship. The factors affecting sleep quality were sleep latency (OR, 4.167; 95% CI, 1.406-12.344), sleep duration (OR, 6.717; 95% CI, 2.386-18.912), and sedentary hours (OR, 2.971; 95% CI, 1.095-8.064). Conclusion: The study demonstrates that poor sleep quality is common in nursing students, and intervention study is needed to improve sleep quality in nursing students. Additional studies are needed to determine the relationship between BMI and sleep quality.