Objectives: The objective of the study was to examine the clustering patterns and correlates of multiple health behaviors (MHBs) in middle-aged Koreans with metabolic syndrome (MetS). Methods: Data on sociodemographics, clinical characteristics, health behaviors (vegetable intake, physical activity, cigarette smoking, and alcohol consumption), and psychological characteristics were collected by a self-reported survey and medical examination from 331 individuals with MetS. Clustering of MHBs was examined by measuring 1) the ratios of observed and expected prevalence of MHBs, and 2) the prevalence odds ratios. A binomial logistic regression were conducted. Results: Men were more likely than women to engage in multiple unhealthy behaviors. Clustering of smoking and heavy drinking was exhibited in the participants. Women with high vegetable intake were more likely to be physically inactive, and those with inadequate vegetable intake were more likely to be physically active. Those with lower self-regulation were more likely to engage in unhealthy behaviors. Conclusions: The findings support the multiple health behavior approach as opposed to the individual health behavior approach. Emphasis of self-regulation is necessary in developing multiple behavior intervention for individuals with MetS.
Purpose: The purpose of this descriptive study was to identify predictors on health promoting behaviors of university students. Methods: The participants were 310 students by convenience sampling in G city. The data were collected through a questionnaire given to the students between September 10 to November 6, 2006. Descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, and stepwise multiple regression were used to analyze the data. Results: The mean score for the level of health promoting behaviors and optimism was 2.60(${\pm} .31$) and 2.70(${\pm} .55$) respectively. The most frequently used coping skill was the pursuit of social support. There were positive correlations between health promoting behaviors and optimism, between health promoting behaviors and active coping skill, and between health promoting behaviors and passive coping skill. In stepwise multiple regression analysis, the most powerful predictor of health promoting behaviors was active coping skill. Conclusion: The results suggest that coping skills with optimism can be considered when developing a health promotion program for university students.
Purpose: This study compared health behaviors between single-member and multiple-member households by gender in adults. Method: Study subjects were 21,757 adults 20-65-years-of-age from the Third Korea National Health and Nutrition Examination Survey in 2005. The relationship between health behaviors and residence characteristics was assessed using multiple logistic regression analysis while controlling for sociodemographic characteristics. Results: Younger women living alone were more likely to drink than older women living with others. Women who were in multiple-member households and had a low income were less likely to exercise regularly, to sleep well, and to have regular health examinations. Age, educational level, and income were significantly associated with smoking, exercise, and health examination rather than residence characteristics in men. Conclusion: Residence characteristics should be considered in developing a public health program to reduce or increase modifiable health behaviors as well as age, gender, education, and income.
Objectives: This study aimed to investigate the relationship among perceived health status, dietary habit and health promoting behaviors of university students. Methods: The subjects were 464 university students. Data were collected by using self-reported questionnaires. The results were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and multiple regression analysis with the PASW 18.0 program. Results: The mean score of perceived health status was 3.24, dietary habit was 2.85 and health promoting behaviors was 2.24. There were significant differences in perceived health status according to gender, BMI, exercise and stress. There were significant differences in dietary habit according to residence, monthly allowance, drinking alcohol, exercise, sleeping hours and stress. In addition there were significant differences in health promoting behaviors according to gender, residence, BMI, smoking and exercise. Also, perceived health status significantly positively correlated between dietary habit and health promoting behaviors. Conclusions: As the results of multiple regression analysis, the related factors of perceived health status of university students were exercise, stress and spiritual growth factor. Therefore, it is necessary to develop multiple health promoting programs considering characteristics of university students. And various strategies have been developed to increase the physical activity should be run.
Purpose: This study compared health behaviors and disease prevalence between one-person women and multiple-household women in Korea. Methods: This study used the 2013 data from the Korean Community Health Survey (KCHS). A total of 89,807 women, aged 19-64 years were included in this study. The data was analyzed using descriptive statistics and Chi-square test. Moreover, statistical processing was performed using the SPSS 21.0. Results: Among adult women, one-person households women was 6.2%. One-person household women were older than multiple-households women, and multiple-households women were less likely to exercise regularly. And disease prevalence was higher in one-person household women than in multiple-household women. Conclusion: Residence characteristics should be considered in developing a public health program to reduce or increase modifiable health behaviors and disease prevalence. The findings from this study suggest that policies to improve the support for healthcare of one-person household women is necessary.
Purpose: The purpose of this study was to investigate factors determining health behavior for middle-aged adults in relation to stress coping behaviors, cognitive factors, social support, and sociodemographic variables. Method: The questionnaire survey was carried out on a convenience sample of 203 middle aged in a community settings. The data analysis procedure included frequency, t-test, ANOVA, Pearson correlation coefficient, and stepwise multiple regressions using health behavior as dependent variable. Result: Among the sociodemographic variables, factors such as sex, educational and eonomic levels were associated with the health behaviors. There were significant correlations between health behaviors and saliency of health, social support, and positive-stress coping behaviors. Stepwise multiple regression revealed that the factors such as positive-stress coping behaviors, saliency of health, sex, and education turned out to be significant affecting factors. Twenty eight percent of varience in health behavior was explained by these factors. Conclusion: Positive-stress coping methods were turned out to be the most important effective factors in practicing of health behaviors of middle aged. The necessity of an intervention considering the situation related to their stress and coping methods in middle aged so as to promote positive health behaviors was suggested.
Purpose: The purpose of this study was to identify the influence of eHealth literacy on health promoting behaviors, thereby providing basic data for the development of interventions for health promoting behaviors among university students. Methods: Data were collected from 242 university students aged 19 and over in a university located in K province in South Korea. Participants responded to structured questionnaires in September 2018. eHealth literacy and health promoting behaviors were measured by eHealth Litaracy (EHL) and a translated version of the Health Promoting Lifestyle Profile (HPLP-II), respectively. The correlation between eHealth literacy and health promoting behaviors were analyzed using Pearson's correlation, and multiple regression analysis was carried out to examine the influence of eHealth literacy on health promoting behaviors. Results: The participants had a moderate level of eHealth literacy with the greatest score recorded in the sub-domain of functional eHealth literacy and the lowest in the sub-domain of critical eHealth literacy. Female students and students who majored in healthcare had higher levels of eHealth literacy than male students and those with non-healthcare majors. The degree of health promoting behaviors was moderate or lower with the highest score being in the sub-domain of interpersonal support and the lowest in the sub-domain of health responsibility. Health promoting behaviors had significant relationships with eHealth literacy, exercise hours, subjective health status, and health concerns. Multiple regression analyses revealed that the participants engaged more in health promoting behaviors when they had greater eHealth literacy (β=.18, p<.001), interest in their own health (β=.33, p<.001), exercise hours (β=.18~.23, p<.001), and subjective health status (β=.17~.18, p=.007~.031). Conclusion: In order to facilitate health promoting behaviors of university students, interventions for health promoting behaviors need to be developed including strategies to improve competencies relevant to critical eHealth literacy and to increase exercise hours.
Purpose: The purpose of this study was to investigate the factors influencing the health-promoting behaviors of the people living with HIV. Methods: Descriptive cross-sectional study design was used. The study participants included 99 people living with HIV recruited via the Korea HIV/AIDS Network of Solidarity from May 15 to August 15, 2012. Self-report questionnaires were used fo data collection measuring perceived stress, depression, self-efficacy, health-promoting behaviors (HPLP-II), and the perceived health status. The analysis was done using SPSS/Win 18.0 program. Descriptive statistics, pearson correlation, t-test, ANOVA and stepwise multiple regressions were used for data analysis. Results: Perceived stress (r=-.21, p=.040), depression (r=-.37, p<.001), self-efficacy (r=.42, p<.001), perceived health status (r=.29, p=.003), and health-promoting behaviors were significantly correlated with each other. The self-efficacy, religion and perceived health status were significant factors, which explained about 26% of the variance of the health-promoting behaviors. Multiple regression analysis showed that a powerful predictor of health-promoting behaviors among people living with HIV was self-efficacy. Conclusion: This study suggested that a focus of nursing intervention program on self-efficacy is necessary in order to increase health-promoting behaviors among people living with HIV.
Purpose: This study was conducted to investigate factors related to middle-aged women's health beliefs and their intention to practice health behaviors for preventing and improving hypertension. Methods: The participants were 319 middle-aged(40-59 years) women who lived G city. Data was collected from January to February, 2005. Personal interviews were performed. The data was analyzed using t-test, ANOVA, Scheffe's multiple comparison test and hierarchial multiple regression analysis. Results: Perceived susceptibility of health belief was high in those who had higher educational level, disease history and health education experience, significantly(p<0.05). Perceived seriousness was high in those who had higher educational level, middle economic status and health education experience, significantly(p<0.05). Perceived benefits was high in those who had higher educational level and perceived barriers was low in those who had disease history and hypertension, significantly(p<0.05). The subject's intention to practice health behaviors was significantly high in those who were younger, who had higher educational level and menopausal status(p<0.05). In hierarchial multiple regression analysis, the subject's intention was related to perceived seriousness, perceived benefit and educational level, significantly(p<0.05). Conclusion: It is necessary to develope the education programs which can increase the subject's health belief and intention to practice health behaviors towards hypertension in middle-aged women.
Purpose: The purpose of this study was to identify motivational factors that may influence health behaviors of patients with coronary artery disease. Methods: Structured questionnaires were used with a convenience sample of 164 subjects who were discharged from the hospital. The subjects were recruited for an interview at outpatient clinic in hospitals. The tools for the study were the motivational factors and health behaviors measure for the Elderly with cardiovascular disease. The data were analyzed using frequency, t-test, ANOVA, sheffe, Pearson correlation coefficient and stepwise multiple regressions. Results: There were significant correlations between motivational factors and health behaviors, ranging from r=.192 to .692. Stepwise multiple regression analyses indicated that 51% of variance in health behaviors was explained by self-efficacy and perceived benefits among four motivational factors(F=34.988, p<.01). Self-efficacy contributed the greatest amount of variance in health behaviors(${\beta}=.467$), followed by perceived benefits(${\beta}=.235$). Conclusions: The results of the study indicate that motivation, especially self-efficacy, was very important in predicting health behaviors of patients with coronary artery disease. Thus it would be necessary to include motivational factors in designing rehabilitation program for people with coronary artery disease.
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