• 디지털융복합연구
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• 제19권9호
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• pp.115-123
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• 2021

본 연구의 목적은 확장된 기술수용모델을 적용하여 박물관 방문객의 스마트관광 콘텐츠 사용의도를 규명하는데 있다. 본 연구는 국립중앙박물관 방문객을 편의표본추출법으로 표본을 추출하여 온라인 설문조사를 통해 자료를 수집하였으며, 가설검정을 위해 확인적 요인분석과 구조모형 분석을 실시하였다. 실증분석 결과, 국립중앙박물관 실감영상관의 정보품질은 지각된 용이성과 지각된 수용성에 유의한 영향을 미치고 있었으며, 지각된 용이성은 지각된 유용성에 유의한 영향을 미치고 있었다. 또한 지각된 용이성과 지각된 유용성은 사용의도에 유의한 영향을 미치고 있었다. 이와 같은 결과는 박물관의 스마트관광 활성화를 위해서 관람객들이 쉽게 접근할 수 있고 사용하기 편리한 디지털 어플리케이션을 개발해야 함을 시사하고 있다.

• 여성건강간호학회지
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• 제7권4호
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• pp.622-630
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• 2001

This study aims at examining relationships between body mass index and perceived body shape and image. Using a purposive sampling method, 404 female college students were recruited from three universities located in Busan from April 2000 to June 2000. To classify the levels of obesity, Broca's method was used. Secord & Jourard's Body Cathexis Scale(1953) modified by Kim mi ok(1997) was also used to measure body image. The collected data were analyzed with the percentages, Mean, Standard deviation, T-test, and Pearson correlation Coefficient. The results of this study were as follows. 1. 56.4 % of subjects were under weight, and 42.1% were normal for BMI. 2. 55.9% of subjects were very satisfied with their body shape and 15.1% were satisfied. 3. The mean values of perceived body shape according to the BMI were 3.0 for the overweight group, 2.65 for the normal weight group, and 2.21 for the low weight group, the mean differences among three groups were significantly satisfied (F= 21.42, P= .000). 4. The mean scores of body image according to the BMI was 160.21 for low weight group, 155.57 for the normal weight group, and 140.0 for overweight group. The mean differences among the three groups were not significantly satisfied. 5. The mean scores of body image according to perceived body shape were 17819 for the satisfaction group, 161.08 for the moderate group and 150.82 for dissatisfied group. The mean differences among the three groups were significantly satisfied (F= 35.72, P=. 000). 6. There were high positive correlations between BMI and perceived body shape(r= .317) and between perceived body shape and body image (r=- .415).

• 성인간호학회지
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• 제12권3호
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• pp.396-406
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• 2000

The purpose of the study was to investigate Body Mass Index (BMI), the perception of weight problem and the level of self-esteem and depression in high school and college females. The convenience sample consisted of 303 high school females and 481 college females. Data were collected between November 1999 and December 1999. Subjects ranged in age from 15 years and 26 years. BMI was calculated based on the subject's self-reported body weight and height. Self-perception of having a weight problem was evaluated by a single item question. The Rosenberg's Self-Esteem Scale and the Center for Epidemiologic Studies Depression Scale were utilized to measure the level of self-esteem and depression symptoms. BMI mean scores were 19.92 and 19.83 in high school females and college females, respectively. Based on BMI, 79.2 percent of high school females and 85.2 percent of college females were in a normal weight range. Only 2.6 percent of high school females and 1.5 percent college females were obese. Both high school and college females perceived their body weight problem as moderately severe. The mean scores of depression were 20.33 in high school females and 21.69 in college females. Sixty percent of high school females were depressed and 73.4 percent of college students. There was no significant difference between two groups in BMI. However, high school females perceived their weight problem more severe than college females. College females had higher levels of self-esteem and depression than high school females. BMI and perceptions of weight problem revealed a positive relationship in both groups. Results of the study revealed that a perception of weight problem contributed significantly to predict the level of self-esteem and depression in both groups. BMI score had significant effect on only college females' self-esteem. In the study, even though the mean score of BMI was in a normal range, subjects perceived their weight problems as moderatley severe. Since the perception of a weight problem influenced the level of self-esteem and depression, health care providers need to teach them about the normal weight range in BMI criteria.

• 대한영양사협회학술지
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• 제17권4호
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• pp.378-386
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• 2011

To examine the effect of obesity on volume perception according to size and color of rice bowl, we divided female college students into a normal weight group (<30% fat mass, n=100) and obese group (${\geq}30%$ fat mass, n=83) and then measured perceived volume of rice bowls of various sizes (general size; 350 ml vs. small size; 188 ml) and color (yellow, white, blue, and black) containing the same amount of cooked white rice (210 g). Normal weight group perceived that the general rice bowl contained significantly more cooked white rice compared to the small rice bowl. In contrast, the obese group perceived that the general rice bowl contained significantly less cooked white rice than the small rice bowl. The estimated variance in perceived volume of both bowls was significantly bigger in the obese group compared to the normal group. There were no differences in perceived volume among any of the subjects (both normal and obese groups) according to rice bowl color. However, the estimated variance in perceived volume in the obese group was significantly larger than that in the normal group for all of the rice bowls. In conclusion, rice bowl size and color might affect volume perception, and volume perception in obese people may be different from that of normal weight people.

• Journal of Preventive Medicine and Public Health
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• 제31권2호
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• pp.199-214
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• 1998

This study was undertaken to explain weight control behavior and intention of obese children and adolescents as measured by the elements of the health belief model. A total of 732 obese students from 28 schools in Seoul metropolitan area and their mothers were assessed with a self-administered questionnaire. The analyzed results are as follows; 1. Among obese students, 45.3% of male students and 57.2% of female students, a significantly higher portion than male students, reported that they had tried to lose weight within the recent year. Exercise was the most frequently used method to lose weight followed by diet control, drug use, and specialized clinic visits, in descending order. 2. Male students were more likely to try to lose weight if they perceived a low threat level and their mother had a job, and female students were more likely to try to lose weight if they were younger in age, perceived a low threat level and had strong external motivating factors. 3. Female students showed a significantly higher level of intention to obesity control than male students, and the intention level of their mothers also showed the same trend. 4. In male students, the degree of weight dissatisfaction, weight control experience, the level of obesity related beliefs of students, the educational level of the mother and economic status of the family were significant predictors of intention to obesity control, and in females, age, the level of obesity related beliefs of students and intention of their mothers were significant. In the mothers of male students, obesity index of students, age of the mother and the level of obesity related beliefs of the mother were significant predictors of intention of the mother, and in the mothers of female students, obesity index of students, occupational status of the mother and obesity related beliefs of the mother were significant. 5. According to the path model of intention to obesity control, the degree of weight dissatisfaction had the most powerful effect in male students, and perceived net benefit level was the most important variable in female students. Since the weight control behavior and intention of obese students were more predictable by the degree of weight dissatisfaction than the obesity index, we can conclude that only the students dissatisfied with their weight are well motivated for obesity control. There can be a discrepancy between the mother and her child's beliefs and intention status(especially in male students), so the therapists should also assess the student's opinion as well as the mother's. In female students, the perceived net benefit level wag the most important predictor of intention to obesity control, therefore the intervention program should pay particular attention to the positive benefits of weight control rather than negative aspects(threats) of obesity.

• 한국산학기술학회논문지
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• 제18권11호
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• pp.459-468
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• 2017

본 연구는간호대학생의 비만스트레스와 건강신념이 체중조절행위에 미치는 영향을 파악하기 위해 시도되었다. 자료 수집은 2016년 9월 1일부터 10월 10일까지 U시에 소재한 대학교에 재학 중인 간호대학생을 대상으로 설문조사를 실시하였으며, 수집된 자료는 SPSS 23.0프로그램을 이용하여 t-test, ANOVA, Scheffe test, Person's correlation coefficients와 위계적 다중회귀분석(Hierarchical multiple regression analysis)으로 분석하였다. 대상자의 일반적 특성 중 성별(t=2.30, p=.044), 건강상태(F=8.03, p<.001)가 체중조절행위에 유의하게 영향을 주었다. 체중조절행위의 식이요법(r=-.26, p<.001), 운동요법(r=-.25, p<.001)과 행동수정요법(r=-.29, p<.001)이 지각된 장애성과 유의한 음의 상관관계가 있으며, 체중조절행위의 전문지식획득은 비만스트레스(r=.42, p<.001), 지각된 민감성(r=.25, p<.001)과 지각된 유익성(r=.19, p<.001)이 유의한 양의 상관관계가 있는 것으로 나타났다. 또한, 간호대학생의 체중조절행위에 유의한 영향을 준 것은 건강신념 중 지각된 장애(${\beta}=-.30$, p<.001)와 비만스트레스(${\beta}=.20$, p<.05) 순으로 나타났고, 이들 변인들의 총 설명력은 17.2%이었다. 이상의 결과를 토대로 간호대학생의 체중조절행위에 영향을 주는 성별, 건강상태 및 비만스트레스와 건강신념의 변인들을 이용하여 체중조절행위를 실천할 수 있는 효율적인 교육 및 프로그램의 개발과 적용이 요구된다.

• Perspectives in Nursing Science
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• 제9권1호
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• pp.24-35
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• 2012

Purpose: This research was performed to investigate Korean adolescents' body weight perception, appropriate weight change efforts, and factors that influencing these efforts. Methods: The data were obtained from 68,136 adolescents, aged 12~18 years from the 2007 Third Korean Youth' Risk Behavior Web-based Survey. Descriptive statistical analysis and odds ratio were calculated by logistic regression. Results: The distribution of the body mass index differed in boys and girls. The accuracy of body weight perception was shown in the order of the underweight (91.6%), overweigh t (73.3%), normal weight (55.4%), obesity (41.3%) groups. Adolescents with high perceived economic status tended to have a high prevalence of accuracy of body weight perception. The distribution of appropriate weight change efforts according to the actual body mass index showed that girls were trying to lose weight more than boys. The results of a logistic regression analysis regarding appropriate weight change efforts showed differences according to gender, perceived economic status, mother's educational level, and family affluence scale. Conclusion: Appropriate body weight perception and change management plans are needed for Korean adolescents. In addition, active weight change programs have to be established in the adolescents' living environments, such as schools.

• 보건교육건강증진학회지
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• 제18권3호
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• pp.11-36
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• 2001

The purpose of this study is to analyze health behavior by comparing the difference between self-perceived health status and health examination results. The study subjects consist of 7,702 people aged over 20, surveyed by Health Interview survey, Health Examination survey, Dietary Life survey, Health Consciousness and Behavior survey. Data used in the study are drawn from raw data from a 1998 National Health and Nutrition survey. General characteristics variables are sex, age, education level, residential area, marital status, occupation, and living standard while dichotomous variables, ‘not healthy’ and ‘healthy’ are used to measure self-perceived health status. Variables for health examination results are high blood pressure, high cholesterol, diabetes, liver diseases, liver inflammation, kidney diseases, normal weight, regular diet, optimum sleeping time(7-8 hours), regular health examination and health behavior practice group. Major findings of the study are as follows: 1) Analysis of self-perceived health status and health behavior by disease: Variables significantly correlated with high self-perceived health status have strong associations with high health behavior practice, which supports the hypothesis that as one has high self-perceived health status, one is more likely to practice health promoting behavior. The results of analysis of health behavior differences by dividing subjects into two categories, ‘cases of illness’ and ‘cases of no illness’ indicate that drinking, sleeping time, health examination are significant variables (p〈0.001, 0.05) whereas smoking, weight control, regular exercise, regular diet are not significant. 2) Analysis of disparity patterns between self-perceived health status and health examination: The hypothesis that health behaviors would be different according to the disparity pattern between self-perceived health status and health examination is supported as a result of χ2 test. Among Type I : Self-perceived health status is high and actual health status is good (no disease) Type II: Self-perceived health status is high and actual health status is poor(have disease) Type III: Self-perceived health status is low and actual health status is good(no disease) Type IN: Self-perceived health status is low and actual health status is poor(have disease) Type I and Type IV show no disparity, Type I shows the highest health promoting behavior whereas Type IV shows the lowest health promoting behavior. Type II, and III, compared to Type I, practise lower health promoting behavior. Multi-logistics regression analysis was conducted to find out the degree of impact on health behavior. Independent variables are general characteristics, self-perceived health status and health examination result and presence of illness, while the dependent variable is health promoting behavior. The analysis of the impact of self-perceived health status on the health promoting behavior shows that smoking, drinking, weight control, regular exercise, health examination practice, and/or regular diet are significantly correlated to self-perceived health status. High self-perceived health status is inversely related to high health promoting behavior. This finding supports the hypothesis that the higher one perceives one's health, the more likely one is to practice health promoting behavior. On the contrary, the presence of illness has little impact on health promoting behavior. 3) Multiple logistics analysis on how disparity patterns between self-perceived health status and health examination affect health behavior: The results of multiple logistics analysis made on health behavior variables compared to the standard variable are as follows: When analyzed on the standard of Type I, smoking is a significant risk factor for the Type IV. In case of drinking, all the patterns show a high probability of relative risk ratio. With regard to weight control, it is a risk factor for Type II while all the patterns show high probability of not practising when analyzed on the standard of type IV. Type III and IV show high probability of not doing regular exercise while Type IV, shows a high probability of not taking appropriate sleeping time. When analyzed on the standard of type IV, all the patterns show a high probability of not taking health examinations. Type III and IV show a high probability of not having regular meals. As for overall health promoting behavior, Type III and IV show a high relative risk ratio. These two groups have low self-perceived health status. It implies that self-perceived health status has significant impact on health promoting behavior. This is also supported by the fact that Type I with high self-perceived health status and no illness shows a high practice rate of health promoting behavior. Types II and III the groups with high disparity between self-perceived health status and health examination results, show a low practice rate of health promoting behavior when compared to Type I. Type IV, that is the group with low self-perceived health status and actual illness, shows the lowest practice of health promoting behavior. It is highly probable that this type proves to be the poorest health group.

• 보건행정학회지
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• 제28권2호
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• pp.119-127
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• 2018

Background: This study aimed to examine (1) the patterns of online health information search with respect to seeking and scanning, and (2) how online search, along with eHealth literacy, predicts perceived information usefulness in the context of diet and weight control. Methods: Online survey was conducted with 299 adults from the consumer panel recruited for the purpose of quality assessment of the Korean National Health Information Portal in 2016. We conducted paired sample t-test and multiple logistic regression to address the research questions. Data analysis was performed using IBM SPSS Statistics ver. 24.0 (IBM Corp., Armonk, NY, USA) and SAS ver. 9.3 (SAS Institute Inc., Cary, NC, USA). Results: Of the respondents, 38.8% were 'high seek-high scanners,' 35.8% were 'low seek-low scanners,' 13.0% were 'high seek-low scanners,' and 12.4% were 'low seek-high scanners.' eHealth literacy was a significant, positive predictor of online information scanning (odds ratio [OR], 2.46; 95% confidence interval [CI], 1.41-4.29), but not for online information seeking (OR, 1.75; 95% CI, 1.00-3.05). With respect to perceived usefulness of online information seeking, online seeking (OR, 4.90; 95% CI, 2.19-11.00) and eHealth literacy (OR, 2.30; 95% CI, 1.11-4.75) were significant predictors. Perceived usefulness of online scanning had a significant association with online scanning (OR, 2.38; 95% CI, 1.08-5.22), but not with eHealth literacy. Conclusion: To increase the effectiveness of the health policy for online information search and related outcomes in the context of diet and weight control, it is important to develop education programs promoting eHealth literacy.

• 대한간호학회지
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• 제21권2호
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• pp.195-203
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• 1991

Correlations among body weight and sociodemographic factors, including life - style were tested as social determinants of health in a sample of 5,201 adults in Korea. The aim of this study was to determine the extent to which sociodemographic variables and life-style associated health behaviors explain body weight distribution. A second aim was to explain the relation of body weight and health status to stress the importance of body weight as an early risk indicator of health status. The canonical correlation between the weight distribution(underweight and overweight) and the independent variables was 0.29, 17% of the total variance was explained. Perceived health level represented the highest contribution(canonical coefficient 0.82) to body weight. Sociodemographic factors such as sex, economic status, and life-style factors such as smoking, exercise, regular meais and sleep showed comparatively high contributions to body weight. The relevance of body weight for health status including the rate of chronic disease and the rate of medical utilization was significant. Especially, underweight was clarified as being mere important than overweight to morbidity level and medical utilization. These findings suggest that perceived body weight is an important indicator of health status and is thus a valuable variable to be considered for nursing intervention and health education related to the promotion of health.