• Clinical and Experimental Pediatrics
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• v.64 no.9
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• pp.480-488
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• 2021

Background: An adequate large-scale pediatric cohort based on nationwide administrative data is lacking in Korea. Purpose: This study established the National Investigation of Birth Cohort in Korea study 2008 (NICKs-2008) based on data from a nationwide population-based health screening program and data on healthcare utilization for children. Methods: The NICKs-2008 study consisted of the Korean National Health Insurance System (NHIS) and the National Health Screening Program for Infants and Children (NHSPIC) databases comprising children born in 2008 (n=469,248) and 2009 (n=448,459) in the Republic of Korea. The NHIS database contains data on age, sex, residential area, income, healthcare utilization (International Classification of Diseases10 codes, procedure codes, and drug classification codes), and healthcare providers. The NHSPIC consists of 7 screening rounds. These screening sessions comprised physical examination, developmental screening (rounds 2-7), a general health questionnaire, and age-specific anticipatory guidance. Results: During the 10-year follow-up, 2,718 children (0.3%) died, including more boys than girls (hazard ratio, 1.145; P<0.001). A total of 848,048 children participated in at least 1 of the 7 rounds of the NHSPIC, while 96,046 participated in all 7 screening programs. A total of 823 infants (0.1%) weighed less than 1,000 g, 3,177 (0.4%) weighed 1,000-1,499 g, 37,166 (4.4%) weighed 1,500-2,499 g, 773,081 (91.4%) weighed 2,500-4,000 g, and 32,016 (5.1%) weighed over 4,000 g. There were 23,404 premature babies (5.5%) in 2008 compared to 23,368 (5.6%) in 2009. The developmental screening test indicated appropriate development in 95%-98% of children, follow-up requirements for 1%-4% of children, and recommendations for further evaluation for 1% of children. Conclusion: The NICKs-2008, which integrates data from the NHIS and NHSPIC databases, can be used to analyze disease onset prior to hospitalization based on information such as lifestyle, eating habits, and risk factors.

• Journal of Korean Academy of Nursing
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• v.38 no.5
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• pp.649-655
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• 2008

Purpose: The purpose of this study was to identify the factors influencing quality of life after analyzing the relationship between depression, health promotion and quality of life in patients with gastrointestinal neoplasms. Methods: The subjects of this study were 63 people who underwent treatments from 2 general hospitals in Seoul and Daejeon and had no recurrence in stages I & II of gastrointestinal neoplasms. Data was collected from March 1 to April 30, 2006. A questionnaire consisting of Center for Epidemiologic Studies Depression (CES-D), Health Promoting Lifestyle Profile II (HPLP II) and Functional Assessment of Cancer Therapy-Colorectal (FACT-C) was given. The collected data was analyzed with the SPSS program which was used for descriptive statistics, Pearson correlation coefficients and hierarchical multiple regression. Results: The major findings of this study were as follows: 1) There was a significant relationship between depression (r=-.639, p=.000), health promotion (r=.407, p=.001) and quality of life. 2) Significant factors were depression (F=-4.091, p=.000) and health promotion (F=2.375, p=.021) that explained 46% of quality of life (F=10.022, p=.000). Conclusion: Cancer patients experienced extreme depression which led to a negative effect on quality of life. Health promotion was an important variable to the quality of life and it gave the patients motivation for having a will and belief for better health.

• Journal of Korean Academy of Nursing
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• v.27 no.4
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• pp.901-911
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• 1997

The purpose of this study is to provide a basis for nursing intervention strategies to promote quality of life in cancer patients. Therefore the study is designed to evaluate the effectiveness of perceived health status, self-esteem, health locus of control, self-efficacy, perceived susceptibility /severity, health promoting behaviors, and hope for quality of life. The sample was composed of 164 stomach cancer patients who visited outpatient clinics at a university hospital in Seoul. The following instruments were used in the study after some adaptation : Lawstone and others' Health Self-rating Scale, Rosenberg's Self-esteem Scale, Wallston and others 'Multidimensional Health Locus of Control Scale, Sherer & Maddux's Self-efficacy Scale, Moon's Health Beliefs Scale, Walker and others' Health Promoting Lifestyle Profile, Nowotney's Hope scale and Noh's Quality of Life Scale. Data were analyzed using a SAS program for Pearson correlation coefficients, descriptive correlational statistics and stepwise multiple regression. The results are as follows : 1. The scores on the quality of life scale ranged from 115 to 243 with a mean of 177.84(SD : 25.35). The mean scores(range 1-5) on the different dimensions were : emotional state 3.37 : economic life 3.47 : physical state & function 3.52 : self-esteem 3.66 : relationship with neighbors 3.37 ; family relationships 3.80. 2. There was a significant correlation between all the predictive variables and the quality of life (r=.20-.65, p<.01). 3. Stepwise multiple regression analysis showed that : 1) Self-esteem was the main predictor of quality of life and accounted for 46.9% of the variance in quality of life. 2) Perceived health status, hope and perceived susceptibility/severity accounted for 11.8%, 8.3%, 1.5% of the variance in quality of life, respectively. 3) Self-esteem, perceived health status, hope & perceived susceptibility /severity combined accounted for 68.5% of the variance in quality of life. In conclusion, self-esteem, perceived health status, hope and perceived susceptibility / severity were identified as important variables in the quality of life of cancer patients.

• Korean Journal of Occupational Health Nursing
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• v.22 no.3
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• pp.218-227
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• 2013

Purpose: The purpose of this study was to investigate the factors influencing health promotion behavior of fire officers in Korea. Methods: It was a descriptive study. The subjects were comprised of 104 fire officers by self-reported questionnaires from January to February 2012. The instruments used for this study were a health belief, self-efficacy and health promotion lifestyle profile II. The data were analyzed using SPSS/WIN 14.0. Results: The scores of health promotion behavior of fire officers were 2.76 (on a 4-point scale) and of health belief were 2.98 (on a 4-point scale), followed by perceived benefits at 3.45, perceived seriousness at 3.02, perceived sensitiveness at 2.82, perceived barriers at 2.23, and self-efficacy at 3.04 (on a 4-point scale). The health promotion behavior was very closely correlated with the health belief (r=0.49, p<.001). In the sub region, perceived benefit was correlated (r=0.28 p=.005) and the perceived seriousness (r=0.38, p<.001), the perceived sensitiveness (r=0.36, p<.001), and self-efficacy (r=0.55, p<.001) were correlated. Two significant variables influencing health promotion behavior of fire officer were self-efficacy and perceived seriousness (explained 41.0%). Conclusion: It suggested that self-efficacy and perceived seriousness should be considered when developing a fire officers's health promoting program.

• Journal of the Korean Society of Physical Medicine
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• v.11 no.2
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• pp.17-24
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• 2016

PURPOSE: This study aimed to evaluate the effects of health-promoting behaviors on the subjective well-being of a physical therapist. METHODS: Survey data were collected from 247 physical therapists in Daejeon city. The baseline for health-promoting behaviors was determined using Health Promoting Lifestyle Profile (HPLP), subjective well-being was determined using Positive Affect and Negative Affect Schedule (PANAS), quality of life was measured using the SF-36 (Short-Form 36), and pain level was determined using the Quadruple Visual Analogue Scale (QVAS). Health-promoting behaviors and related factors were analyzed using an average comparative analysis (t-test), and the factors relevant to subjective well-being and health-promoting behaviors were evaluated using correlation analysis (Pearson's correlation coefficient). Factors affecting health-promoting behaviors were evaluated using stepwise multiple regression analysis (stepwise multiple regression). RESULTS: The mean score for health-promoting behavior was 3.73, with emotional support having the highest score (3.90) and regular meals having the lowest score (3.16 points; p<0.01). Health-promoting behavior was significantly correlated with positive emotions and negative emotions are subjective well-being, negative emotions and pain were noted (p<0.01). Health-promoting behaviors showed a significant correlation with quality of life (r=0.04), positive emotions (r=0.21; p<0.01), negative emotions (r=0.16; p<0.05), and pain level (r=0.016). The results of this study showed that health-promoting behaviors are significant predictors of subjective well-being in physical therapists (p<0.01). CONCLUSION: Physical therapists have to maintain their health by avoiding infections. Regular exercise is the most important factor among all health-promoting behaviors.

• Journal of the Korean Society of School Health
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• v.32 no.3
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• pp.165-174
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• 2019

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.

• Research in Community and Public Health Nursing
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• v.14 no.2
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• pp.232-241
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• 2003

Purpose: To investigate the factors influencing health promoting behavior in college students and to provide a basic data for developing an effective health promotion program. Method: The subjects were 711 college students living in Jecheon city and were selected using a convenience sampling method. The instruments used in this study included the Health Promoting Lifestyle Profile developed by Walker et al.(987). Perceived Health Status developed by Lawston et al. (1982). Self-Esteem scale developed by Rosenberg(1965), Self-Efficacy scale developed by Becker et al. (1993), and Health Locus of Control developed by Wallston et a1.(1978). The data were analyzed by descriptive statistics, pearson correlation coefficient, and stepwise multiple regression using SPSS/WIN program. Results: I) The mean score of health promoting behavior was 2.39 point out of 4. In terms of sub-domains of health promoting behavior, self-actualization(2.78) showed the highest mean score, followed by interpersonal support(2.75), stress management(2.38), nutrition(2.11), exercise(2.04), and health responsibility (1.97). 2) The health promoting behavior had significantly positive correlations with self-efficacy, powerful others health locus of control, internal health locus of control, chance health locus of control, and perceived health status. 3) In the relationship between general characteristics and health promoting behavior, health promoting behavior was significantly different by gender(t=2.17, p=.03), and financial status of parents (F=10.79. p= .00). 4) The most powerful predictor of health promoting behavior was self-efficacy. A combination of self-efficacy, self-esteem, powerful others health locus of control, and sex accounted for 40.4% of the total variance in health promoting behavior. Conclusion: The findings of this study showed that health responsibility and exercise were the domains where the college student showed relatively lower scores than other domains, self-efficacy was the most important predictor of health promoting behavior. Therefore, it is suggested that health promoting programs should focus on health responsibility, and exercise. Nursing strategies that can enhance self-efficacy should also be developed in order to promote healthy lifestyles in college students.

• Research in Community and Public Health Nursing
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• v.13 no.2
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• pp.399-409
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• 2002

Objectives: The purpose of this study was to provide basic data to develop a future health promotion program through the comparison of health promoting behavior and perceived health status between Koreans and Korean-Americans. Methods: The subjects of this study were 411 adults recruited from religious organizations located in the Yongnam area, Korea, and Chicago, U.S.A. The instruments used in the study were Health Promoting Lifestyle Profile II (HPLP) developed by Walker, Sechrist & Pender (1995), and the Health Self Rating Scale designed by North Illinois University. The data were analyzed using descriptive statistics, Pearson correlation coefficient, ANCOVA, ANOVA and Duncan test with the SPSS program. Results: 1) The mean HPLP score was 2.26 in Koreans and 2.43 in Korean-Americans, showing a significant difference between the two groups. 2) In subscales of HPLP, both groups showed the highest practices in 'interpersonal relationship' and the lowest practices in 'physical activity'. 3) The mean score of perceived health status was 2.26 in Koreans and 2.43 in Korean-Americans, showing a significant difference between the two groups. 4) Health promoting behavior was significantly different by family income in Koreans, but significantly different by age and family income in Korean-Americans. 5) Perceived health status was significantly different by family income and marital status, but significantly different by age, education, and family income. 6) The HPLP was not correlated with perceived health status in Koreans, but positively correlated with perceived health status in Korean-Americans. Conclusion: The study findings suggest a need to develop a health promotion program, in which physical activity and stress management for Koreans and Korean-Americans are emphasized, and cultural and environmental elements are considered, for better understanding of their health related issues.

• Research in Community and Public Health Nursing
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• v.27 no.3
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• pp.202-212
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• 2016

Purpose: The purpose of this study is to examine the association of family support, self-efficacy, health literacy and perceived health status with health-promoting behavior (HPB) in married immigrant women. Methods: A cross-sectional based survey was conducted to collect data from married immigrant women living in Gyeongsang province. Questionnaires included Health promoting lifestyle profile II, General self - efficacy scale, Korean Health literacy assessment and perceived health status. Results: 157 subjects participated in the study (mean age, $30.47{\pm}6.83$). Their duration of living in Korea was $63.05{\pm}50.11$ months. Of the participants, 59.2% were Vietnamese. The level of HPB, perceived health status, health literacy, support of family and self-efficacy were $2.58{\pm}0.42$, $3.39{\pm}0.86$, $25.12{\pm}20.99$, $3.83{\pm}0.70$ and $3.61{\pm}0.53$ respectively. Factors affecting the HPB of the participants were support from family (${\beta}=.45$, p<.001) and self-efficacy (${\beta}=.16$, p<.05). The explanatory power of these two variables was 34.2%. Conclusion: This study suggests that the factors influencing the HPB of married immigrant women include support from family and self-efficacy. A variety of programs should be provided for families so that they can support those women to help them increase their HPB. It is recommended that more various programs be provided to increase their self- efficacy.

• Women's Health Nursing
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• v.8 no.3
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• pp.358-370
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• 2002

The purpose of this study was to investigate the relationship between college women's resourcefulness and health promoting behaviors. The subjects were 215 college women students who were non-married and ranged in grade from 1 to 4. Data was collected from Nov. 1 to Nov. 30, 2001 by a structured questionnaires. The instruments, which were modified by researcher and used for this study, were the revised Health Promotion Lifestyle Profile (HPLP) developed by Walker, Sechrist and Pender(1987), the Resourcefulness developed by Rosenbaum(1980) and the general characteristic scale developed by the researcher. The data were analyzed by the SPSS/PC+ program using t-test, ANOVA, Pearson Correlation Coefficient and stepwise multiple regression. The results were as follows : 1. The mean score of resourcefulness was 109.29(range:$36\sim180$). 2.There were statistically significant difference in the score of resourcefulness according to the grade(F=2.889, P=.037) and drinking(t=-3.264, P=.002). 3.The mean score of health promoting behaviors was 107.21(range: 44~176). 4.There were statistically significant difference in the score of the health promoting behaviors according to the grade(F=.141, P=.039), smoking(t=-3.314, P=.008) and drinking (t=-4.091, P=.000). 5. College women's degree of resourcefulness showed a positive correlation with the degree of health promoting behavior (r=.573, P=.000). 6. By means of multiple regression analysis, the resourcefulness provided explained 32.9% of health promoting behavior. In conclusion, the resourcefulness should be considered when developing nursing strategies for college women, especially when dealing with the health promoting behaviors. The recommendations from this study necessitate of further studies to investigate how smoking and drinking have an effect on the health promoting behaviors.