노인 관상동맥질환자의 건강정보이해능력, 건강임파워먼트가 건강행위이행에 미치는 영향

고명실 제주대학교 일반대학원 2018 국내석사

The purpose of this descriptive study was to examine the levels of health literacy, health empowerment, and health behavior practice, and to identify the influence of health literacy and health empowerment on health behavior practice in elderly patients with coronary artery disease (CAD). The data were collected in face-to-face interview using a structured questionnaire. A total of 239 elderly patients aged 65 years and over with CAD were interviewed from December, 2016 to February, 2017 in cardiovascular centers of five hospitals. Health literacy was measured with an instrument developed by Lee, Tae Wha and Kang, Soo Jin (2008). It consisted of 12 items. Health empowerment was measured using the 8-item modified Diabetes Empowerment Scale-Short Form (DES-SF) by Park Chorong(2012). Health behavior practice was measured using an instrument modified by Son Yeoun Jung (2008) and consisted of 23 items. The data were analyzed with descriptive statistics, independent t-test, an analysis of variance (ANOVA), Scheffe' post hoc test, Pearson’s correlation analysis, and hierarchical regression, using SPSS Statistics version 18. The study was conducted after receiving the approval from the Institutional Review Board of Jeju National University (JJNU-IRB-2016-028). The results of this study were as follows: 1. The total score on health literacy was 8.21 (±2.65). The item mean score on health empowerment was 3.07 (±0.91) and total score was 24.58 (±7.28). The item mean score of health behavior practice was 3.33 (±0.47) and the total score was 76.73 (±11.01). 2. There were significant differences in health literacy, health empowerment, and health behavior practices of the participants according to general characteristics. There were significant differences in health literacy by sex (t=8.38, p<.001), age (F=27.03, p<.001), education (F=66.84, p<.001), job (t=2.00, p=.047), spouse(t= 6.15, p<.001), cohabits(t=4.06, p<.001), social activity participation (F=30.16, p<.001), and perceived economic status (F=9.31, p<.001). There were also significant differences in health empowerment by sex (t=4.85, p<.001), age (F=6.02, p<.001), education (F=30.12 p<.001), spouse (t=5.25, p<.001), cohabits (t=4.08, p<.001), social activity participation (F=28.28, p<.001), and perceived economic status (F=15.31, p<.001). Lastly, there were significant differences in health behavior practice by age (F=3.99, p=.009), education (F=17.97, p<.001), spouse (t=3.83, p<.001), cohabits (t=3.60, p<.001), social activity participation (F=11.07, p<.001), and perceived economic status (F=8.75, p<.001). 3. There were significant differences in health literacy, health empowerment, and health behavior practice of the participants according to health-related characteristics. There were significant differences in health literacy by BMI (F=4.98 p=.008), comorbidities (F=3.79, p=.024), health information source (F=3.56, p=.030), perceived health status (F=5.80, p=.003), health concern (F=5.91, p=.003), and feelings when asking the medical staff (t=4.17, p<.001). There were significant differences in health empowerment by perceived health status (F=12.78, p<.001), health concern (F=6.03, p=.003), and feelings when asking the medical staff (t=4.44, p<.001). Lastly, there were significant differences in health behavior practices by perceived health status (F=9.92, p<.001), health concern (F=7.87, p<.001), and feelings when asking the medical staff (t=3.19, p=.002). 4. Health behavior practice was positively correlated with health literacy score (r=.46, p<.001) and health empowerment (r=.54, p<.001) and health literacy score was correlated with health empowerment (r=.52, p<.001). 5. Major factors having a significant impact on health behavior practice was health literacy (β=.34, p<.001) and health empowerment (β=.32, p<.001). Health literacy increased 4.8% when controlling for general and health-related characteristics. Health empowerment increased 5.9% when controlling for general and health-related characteristics, and health literacy. The two variables explained 35% of the variance in health behavior practice (F=7.74, p<.001). The results indicate that enhancing health literacy and health empowerment were vital to improving the health behavior practice of elderly patients with coronary artery disease aged 65 years and over. The main findings of this study can be utilized as the foundation for developing programs to promote health empowerment and health behavior practice of the elderly population. Furthermore, the results of the study can be used to establish health-related strategies.

입원환자의 건강정보문해력에 관한 연구

홍인화 경상대학교 대학원 2011 국내석사

The purpose of this study was to examine correlations between hospitalized patients' health literacy and their demographic characteristics. This researcher surveyed 157 hospitalized patients aged 40 or over of a general hospital located in a particular region from April 1st to April 15th, 2011. The tools for this study were KHLAT to measure the linguistic health literacy and KFHLT to measure the functional health literacy. Data from the survey were analyzed through descriptive statistics, X2-test, ANOVA, ANCOVA, Scheffe test and the stepwise multiple regression analysis and in terms of Pearson's coefficient in accordance with PASW Statistics 18. Findings of the study can be summarized as follows. 1. Those subjects consisted of 62 men (39.5%) and 95 women (60.5%). Among them, 70 (44.6%) were aged 40 to 64 and 87 (55.4%), 65 or over. Concerning educational background, 48 of all the subjects (30.6%) were illiteracy, 49 (31.2%) were elementary school graduates and 24 (15.3%), middle school graduates. And 36 (22.9%) graduated from high school or a higher educational institution. 2. Men were higher in the linguistic health literacy than women, but there's no statistical significance. Among the subjects, those who were younger, higher-educated, had a spouse, spending 0.1 million Won or over as a monthly allowance, unemployed or thinking of their health state as average or below were higher in the linguistic health literacy. Thus, it was proved that educational background and age have significant effects on that literacy. The subjects' score for the linguistic health literacy was 36.03 points in average out of 66 of full marks of 66 points (percentage of correct answers 54.58%). 15.3% of the subjects were like 3rd-grade elementary school students or lower in that health literacy, 51%, 4th to 6th-grade elementary school students and 31.2%, like 1st to 2nd-grade middle school students. Thus, 97.5% of the subjects were like 1st to 2nd-grade middle school students or lower in the linguistic health literacy. Among the 66 words, those which were 90% or over in the percentage of correct answers, that is, those which 90% or over of the subjects were able to accurately understand included pregnancy period, constipation, hemorrhoids, alcohol addition, after meal, nausea and occupation. While, those which were lower than 50% in the percentage of correct answers were 32 in number, out of which words like herpes, smearing, nerve fiber, potassium and impetigo were even lower in that percentage. 3. Among the subjects, men were higher in the functional health literacy than women, but there's no statistical significance. Among the subjects, those who were younger, higher-educated, had a spouse, spending 0.1 million Won or over as a monthly allowance, unemployed or thinking of their health state as good or average were higher in the functional health literacy. Thus, it was made clear that educational background and age significantly affect that literacy. The subjects' score for the functional health literacy was 9.62 points out of 0 to 17 of full marks (percentage of correct answers 56.57%). Specifically, those subjects were 4.54 points in average score for mathematical calculation our of 8 of full marks (percentage of correct answers 56.77%) and 5.08 points for reading and comprehension out of 9 of full marks (56.47%). Among the subjects, 30 to 40% could accurately understand how to take 4 dosages a day. 42.7% could calculate the passage of days if required to take dosage every 3 days. 20 to 50% could accurately understand medical consultation hours specified in a medicine packet, what patients should inform in advance to CT officials before taking CT and causes of the adverse effects of the test, all found in a written consent of CT, and the medication of COLYTE specified in the manual of colonic endoscopy after seeing or listening to all those information. 4. There were statistically significant correlations between the linguistic health literacy and functional health literacy (r=.746). In conclusion, the surveyed hospitalized patients' health literacy was relatively low and it was significantly different in accordance with their age, educational background, having a spouse or not, monthly allowance, employment or unemployment and self-assessment of their health state. Educational background and age were factors significantly affecting the health literacy. But further studies are needed to identify any other factors that may having significant effects on that health literacy. It is needed to choose educational media that can well communicate health literacy in accordance with the different demographic characteristics of individual hospitalized patients. A supplementary education is also needed after the extent to which hospitalized patients have understood health information is determined. And then, the effect of the intervention should be examined through subsequent researches.

노인의 건강정보이해능력, 건강관련 위험인식과 건강행위

정정희 부산대학교 대학원 2014 국내석사

Purpose: The aims of this study were to identify the level of health literacy, health risk perception and health behavior, and to determine health literacy and health risk perception impact on health behavior in Korean elderly. Methods: Subjects were 188 elderly aged 65 years or older in the senior welfare centers in Busan. It was used structured questionnaire which included Newest Vital Sign(NVS), health risk perception and health behavior measurement. Hierarchical regression was used to determine whether health literacy and health risk perception affected health behavior. Result: 43.6% of subjects had a very low level of health literacy. It showed the negative relation between health literacy and health risk perception, and health risk perception and health behavior. It showed the positive relation between health literacy and health behavior. Health concern, health literacy affected health behavior. Health literacy independently explained 23.7% of health behavior. Health risk perception didn’t affect health behavior. Conclusion: Many Korean elderly had a very low level of health literacy and health literacy was independently associated with health behavior. These findings show that health care providers need to assess health literacy and to develop the strategic methods to improve the health literacy for health behavior of the elderly.

Addressing Population Health Literacy: Why It Matters, Where Inequalities Emerge, and How To Intervene

Suwon Hwang 고려대학교 대학원 2026 국내석사

Health literacy (HLIT) is increasingly recognized as a critical public health capability that mediates individuals’ capacity to access, comprehend, and act on health information. Not only is HLIT important on the individual level, but it also affects population health outcomes and is related to health system efficiencies. However, prevailing research lacks a systematic method to analyze HLIT using population-level survey data and has often treated HLIT as a fixed individual attribute, overlooking its embeddedness within structural and contextual conditions. This study addresses this gap by introducing the Population Health Literacy Assessment through Multilevel Estimation (PHLAME) framework—an integrative analytic strategy designed to model HLIT as a socially stratified and spatially patterned outcome. Drawing on a nationally representative HLIT survey (N = 11,027), the study employs a sequential analytic design combining latent profile analysis, small-area prediction, and multilevel modeling. Individual HLIT scores were downscaled from metropolitan to district and county level using covariate-informed estimation to generate high-resolution spatial predictions. Area-level socioeconomic contexts were classified via latent profile analysis (LPA) of structural indicators (e.g., age dependency, basic livelihood support, educational attainment), yielding four district typologies: Affluent, Moderately Deprived, Severely deprived, and Average SES. Multilevel linear models nested individuals within 255 administrative districts to estimate the independent and interactive effects of place-based deprivation. Intraclass correlation analysis confirmed that 6.6% of HLIT variance was attributable to contextual differences. Incorporating LPA-defined SES profiles significantly improved model fit (ΔAIC = 4477, p < .001) and adding individual-level predictors and cross-level interactions further enhanced explanatory power (ΔAIC = 20, p < .001). Education and employment emerged as strong positive predictors of HLIT, while older age, female sex, and disability were negatively associated. Importantly, the effect of individual education was more pronounced in deprived districts, suggesting a structurally contingent return on personal resources. Findings provide robust evidence that HLIT is co-produced by individual characteristics and the broader socioeconomic environments in which people live. The PHLAME framework offers a scalable and policy-relevant template for mapping HLIT equity, identifying contextual leverage points, and guiding targeted, place-sensitive interventions to reduce HLIT disparities at the population level.

A Micro-Level Study of the Effect of Financial Inclusion on Health-Related Quality of Life: The Case of the Savannah Region of Ghana

Yakubu, Mbanba Ziblilla 연세대학교 일반대학원 2025 국내박사

The critical role of financial inclusion in reducing poverty, mitigating income inequality, and promoting socio-economic development has been widely recognized. Increasingly, scholarly attention has turned to the intersection of financial inclusion, identified as an enabler of seven out of seventeen Sustainable Development Goals (SDGs), and health outcomes. Grounded in Grossman’s model of the demand for health, financial inclusion is theorized to enhance financial protection by improving individuals’ ability to afford healthcare, maintain nutritious diets, and adopt healthier lifestyles, thereby improving health outcomes. According to this model, access to credit and savings allows individuals to better manage health risks, particularly by enabling timely medical care during health shocks, rather than deferring treatment due to financial constraints. Despite this theoretical foundation, empirical evidence supporting the link between financial inclusion and health at the micro level remains limited. Moreover, the moderating role of health literacy, a crucial determinant of health behaviors and outcomes, is often overlooked. Addressing this gap, the present study offers empirical insights into the relationship between financial inclusion and health-related quality of life, while examining the moderating effect of health literacy. The study is based in the Savannah region of Ghana and evaluates three dimensions of financial inclusion (access, usage, and quality) and their associations with physical, mental, and overall health-related quality of life. Primary data were collected using a cross-sectional survey administered to rural and urban residents aged 18 and above. The health-related quality of life was assessed using the validated SF-36 Health Survey, while health literacy was measured using the All-Aspects Health Literacy Scale. A tailored financial inclusion index was developed by adapting question items from existing literature. The measurement instruments were refined through exploratory and confirmatory factor analysis. The data analysis employed univariate tests (descriptive statistics), bivariate tests (t-test), and multivariate regressions (ordinary least squares). The results indicated a positive and significant association between financial inclusion and health-related quality of life across physical, mental, and overall domains. Health literacy enhanced the relationship between financial inclusion and health-related quality of life, particularly in relation to the domains of physical and overall health-related quality of life. Notably, the positive correlation between financial inclusion and health-related quality of life was more pronounced among rural residents compared to their urban counterparts. Furthermore, the analysis revealed that age, education, and employment status serve as key determinants of financial inclusion. The findings underscore the importance of financial inclusion in enhancing health-related quality of life, with health literacy strengthening this connection. The study advocates for the promotion of financial inclusion, especially among rural populations in Ghana, by enhancing access to and use of quality financial products. Furthermore, the study suggests integrating community-based financial literacy and health education initiatives within rural communities and districts.

고혈압 및 당뇨환자의 의료정보문해력과 질환에 대한 지식에 관한 조사

이은정 계명대학교 대학원 2008 국내석사

Impact of health literacy on medication-related information processing, adherence, and quality of life

송종화 중앙대학교 대학원 2021 국내박사

건강정보 이해능력은 개인의 건강 등 다양한 요소에 직접적인 영향을 주기에 매우 중요하다. 제한된 건강정보 이해능력은 약물 투약 오류 및 복약 불순은 등으로 이어져 건강 상태 및 삶의 질을 악화시킬 수 있습니다. 그런데도 이전 연구는 각 요소와의 연관성을 정의하는 데 한계가 있었다. 본 연구는 한국인의 복약 정보 처리 방법 및 복약순응도가 건강정보 이해능력 및 삶의 질 간에 연관성을 파악하고자 하였다. 본 연구는 305명의 한국인 성인을 대상으로 cross-sectional 설문을 통해 인구학적 특징, 건강정보 이해능력, 복약 정보 처리 방법, 복약순응도 및 삶의 질 요인을 파악하였다. 인구 통계 학적 특성에 따른 건강정보 이해능력의 분석은 정규 및 비정규 분포형 변수에 따라 Student t test 혹은 Mann-Whitney U test를 이용하였고 카테고리별 변수 간 차이를 분석하기 위해 Chi Square test에 실시되었다. 이후 AMOS를 활용하여 구조 방정식 모델(SEM)을 이용하여 각 변수의 상관관계가 분석하였고 요인 분석을 통해 잠재 변수를 파악한 후 joint significant test를 통해 매개 효과를 검증하였다. 모델 적합도는 RMSD, TLI, 및 CFI 통계 기법을 사용하여 검증하였다. 분석 결과, 본 구조 방정식 모델에서 두 가지 경로가 확인되었습니다. 첫째, 건강정보 이해능력은 복약 안내문 읽기(B = 0.12; p<005)와 긍정적으로 연관되었고, 이는 복약 순응도 준수(B = 0.26; p<0.01)를 개선함으로써 삶의 질 향상(B = 0.15; p<0.05)의 향상에 유의한 영향을 보여주었다. 두 번째는 건강정보 이해능력은 복약 안내문 이해력(B = 0.17; p<0.01)와 긍정적으로 연관되었고, 이는 복약 순응도 준수(B =0.13; p<0.05)와 삶의 질 향상(B = 0.25; p<0.01) 향상에 유의한 영향을 보여주었다. 인구학적 변인 중 교육 수준은 건강정보 이해능력(B = 0.18; p<0.01)와 복약 안내문 이해력(B = 0.25; p<0.01)에 긍정적인 영향을 보여주었다. 여성과 높은 연령대는 복약 안내문 읽는 데는 긍정적인 영향을 미치지만 복약 안내문 해석에는 부정적인 영향을 미치는 것으로 나타났다. 결론적으로 제한된 건강정보 이해능력은 복약 안내문에 참조된 정보를 덜 읽거나 복약 안내문을 부정확하게 이해함으로써 삶의 질과 복약순응도에 부정적인 영향을 미칠 수 있다. 한편, 적절한 건강정보 이해능력은 복약 안내문에 참조된 정보를 더 주의 깊게 읽거나 복약 안내문을 정확하게 이해함으로써 삶의 질과 복약순응도에 긍정적인 영향을 미칠 수 있다. 결론적으로 제한된 건강정보 이해능력 및 삶의 질을 개선하기 위해서는 의약품 관련 정보를 처리 관련 전문적인 훈련 및 프로그램 개발이 권장된다. Health literacy has become vital as it can directly impact an individual’s health outcomes and various factors. Low health literacy can lead to misunderstanding of medication and non-adherence to medication which can worsen health status and quality of life. Nonetheless, previous studies have limitations in defining the associations with each element. This study is to investigate whether medication-related information processing and medication adherence explain the relationship between health literacy and quality of life in Korean adults. The cross-sectional survey was conducted on 305 adults to find the factors: health-related information, health literacy, behaviors of processing medication-related information, quality of life, and adherence in South Korea. The Student t-test was employed for continuous variables with normal distributions, and the Mann-Whitney U test was applied for variables without normal distribution. Moreover, the Chi-square test was used for categorical variables to compare the demographic characteristics and key study variables between individuals with adequate and inadequate health literacy. After examining the correlation of the main research variables, structural equation modeling (SEM) was applied to assess the association between patients’ health literacy level, behaviors of processing medication-related information, quality of life, and medication adherence. The latent variables were identified through factor analysis and the joint significance test was then used to test the mediation effects. The model fit test was conducted with root-mean-squared deviation (RMSD), Tucker-Lewis index (TLI), comparative fit index (CFI), and the chi-square statistic. Two significant pathways were identified. First, health literacy was positively associated with reading medication guides (B = 0.12; p<005), which was also linked with medication adherence(B = 0.26; p<0.01) and quality of life (B = 0.15; p<0.05). The second, health literacy was positively related to precise understanding of prescription instructions (B = 0.17; p<0.01), which was related to adherence (B = 0.13; p<0.05) and quality of life (B = 0.25; p<0.01). Among demographic variables, education levels have a positive effect on health literacy (B = 0.18; p<0.01) and understanding the prescription instructions (B = 0.25; p<0.01). The female gender and higher age groups have a positive effect on reading medication guides (B = 0.13; p<0.05) and (B = 0.36; p<0.01), respectively, while the negative impact on the understanding the prescription instructions (B = -0.10; p<0.05) and (B = -0.42; p<0.01), respectively. The reading drug label and understanding prescription guides demonstrated pathways by which health literacy impacts quality of life and medication adherence. Restricted health literacy can negatively affect the quality of life and medication adherence by reading less information on the medication guides or inaccurate understanding of prescription instructions. On the other hand, adequate health literacy levels can positively impact the quality of life and medication adherence by reading more information on the medication guides or an accurate understanding of prescription instructions. The results recommend training on processing medication-related information to improve limited health literacy, adherence, and quality of life.

일개 특수대학원생의 헬스리터러시(건강정보이해능력) 수준과 관련 요인에 대한 연구

공혜선 경희대학교 공공대학원 2017 국내석사

The purpose of this study was to investigate the level of health literacy and related factors among the graduate students attending a graduate school of public policy. The questionnaire survey was conducted on April 25, 2017, using a questionnaire consisting of items measuring health literacy, general characteristics of the subjects, and items measuring health - related characteristics. The questionnaire was distributed to those who voluntarily participated in the study according to the selection criteria of the study subjects. A total of 128 questionnaires were used for final analysis. Data were analyzed using descriptive statistics, t-test, Scheffe test and one-way ANOVA, and stepwise multiple regression analysis. As a result, there were significant differences in gender, age, and major in health literacy according to general characteristics of subjects. In the case of health literacy, women were higher than men. By age, 30-39 years old and the health literacy of hospital administration major were the highest. In health literacy according to health related characteristics, there was no significant difference in health status, presence of disease during treatment, use of clinic within 1 month, number of hospital use, experience of pharmacy use within 1 month, number of pharmacy use. And stepwise multiple regression analysis was performed to examine the health related factors of the subjects. Statistically significant variables were sex, nursing administration, and hospital administration major, and sex was the most relevant factor for health literacy. However, the health - related characteristics showed no significant difference from the health literacy. This is different from the results of other studies showing that health status, diagnosis and treatment of diseases, use of hospitals, and use of pharmacies are related to the level of health literacy. As the health literacy is important to all ordinary people who are exposed to health information, it is necessary to expand the scope of the target population and to carry out the research in various population groups, In addition, it is necessary to develop various tools to analyze health literacy and to measure related factors from various perspectives. In Korea, "health literacy" is used differently by researchers, so it is difficult to efficiently grasp relevant research and cases. Therefore, a "health literacy" needs to be unified in words that are sufficiently intrinsically meaningful and easy for others to understand.

지역사회 노인 고혈압 환자의 건강정보이해능력과 고혈압 관련 지식, 자기효능감 및 자가관리 행위에 관한 연구

오지혜 제주대학교 대학원 2015 국내석사

The hypertension prevalence rate among the population aged 65 years or older in South Korea showed an upward trend, increasing from 55.3% in 2007 to 58.6% in 2013. There are two important factors in hypertension management: hypertension-related knowledge and self-efficacy to properly manage it. These factors have increased interest in health literacy. It has been reported that higher health literacy leads to higher health-related knowledge and self-efficacy, but there not many studies have analyzed the effects of health literacy, diseases-related knowledge, and self-efficacy on self-care behavior among hypertension patients. This study thus set out to examine the health literacy, hypertension-related knowledge, self-efficacy, and self-care behavior of community-dwelling elderly patients with hypertension and investigate their relations and influential factors, thus providing basic data to develop a nursing intervention program to promote self-care behavior among hypertension patients. The subjects include 180 hypertension patients using community health centers, public senior centers, and welfare centers in J area. Data were collected using a self-report questionnaire between November 4 and 11, 2015. Health literacy was measured using 15 of the Health Literacy screening items developed by Chew, Bradley, and Byoko (2004) and translated and used by Kim Su Hyun (2010). Hypertension-related knowledge was measured using a questionnaire developed by Park Young Im (1994) and revised and supplemented by the investigator based on the hypertension management guidelines (2013) of the Korean Society of Hypertension. Self-efficacy was measured using a questionnaire developed by Park Young Im (1994) and the self-care and self-efficacy items used under Case Management for Hypertension (2008) in the Visiting Health Care Program Manual after a revision and supplementation process. Self-care behavior was measured using a scale developed by Lee Young Whee (1995) and the self-care behavior items for hypertension patients used by Min Eun Sil (2011) and Ko Yeong Ju (2012) after a revision and supplementation process. A descriptive statistical analysis, t-test, ANOVA, Scheffe’s test, Pearson’s correlation coefficient, and stepwise multiple regression analysis with the SPSS Win 18.0 program were conducted on the collected data. The findings were as follows. 1. The subjects scored a mean of 49.8 (±12.4) points on health literacy, 9.0 (±2.4) points on hypertension-related knowledge, 31.1 (±3.8) points on self-efficacy, and 55.8 (±6.7) points on self-care behavior. 2. Differences in the health literacy, hypertension-related knowledge, self-efficacy, and self-care behavior of the subjects according to their general characteristics were as follows. 1) There were significant differences in their health literacy according to gender (t=3.83, p=<.001), age (t=3.09, p=.002), education level (t=17.73, p<.001), marital status (t=-4.25, p<.001), number of family members (t=4.65, p=.004), monthly income of family members (t=8.52, p<.001), and occupation (t=-2.52, p=.013). 2) There were significant differences in their hypertension-related knowledge according to age (t=4.85, p<.001), educational level (t=6.22, p<.001), marital status (t=-4.07, p<.001), number of family members (t=3.96, p=.009), and occupation (t=-5.31, p<.001). 3) Significant differences were also found in their self-efficacy according to BMI (t=4.33, p=.006). 4) There were significant differences in their self-care behavior according to BMI (t=2.79, p=.042) and duration of hypertension diagnosis (t=4.16, p=.017). 3. The study analyzed correlations among health literacy, hypertension-related knowledge, self-efficacy, and self-care behavior of the subjects and found that health literacy had significant positive correlations with hypertension-related knowledge (r=.27, p<.001), self-efficacy (r=.26, p=.001), and self-care behavior (r=.31, p<.001), and that self-care behavior had significant positive correlations with self-efficacy (r=.71, p<.001). 4. Major factors having significant impacts on health literacy were educational level (β=.37, p<.001) and monthly income of family members (β=.27, p<.001). The two variables explained 23.7% of health literacy (F=28.73, p<.001). 5. Major factors having significant influences on self-care behavior were self-efficacy (β=.68, p<.001) and health literacy (β=.14, p=.010). The two variables explained 52.3% of self-care behavior (F=99.21, p<.001). Based on those findings, the following proposals were made in this study. 1. There is a need to provide programs to promote self-efficacy among community-dwelling elderly patients with hypertension by considering the characteristics of the elderly. 2. An appropriate tool needs to be developed for the evaluation of literacy among the community-dwellings elderly. 3. It is necessary to understand the health literacy of elderly patients with hypertension before providing them with educational intervention and information and to develop appropriate educational materials and intervention programs. 4. Since random sampling was used in the present study to select subjects, repetitive studies will need to be conducted with elderly patients with hypertension in diverse areas to render the findings generalizable.

관상동맥질환자의 건강정보이해능력과 질병지식 및 건강행위이행

정은영 부산대학교 2013 국내석사

Purpose: The aims of this study were to identify the levels and factors influencing health literacy, disease-related knowledge, and health behavior in patients with coronary artery disease. Methods: Structured questionnaires were used with a convenience sample of 121 subjects who were hospitalized patients with coronary artery disease. The research instruments were KHLAT (Korea Health Literacy Assessment Tool), KFHLT (Korea Functional Health Literacy Test), and disease-related knowledge and health behavior compliance measurement for patients with coronary artery disease. Data analysis was done by descriptive statistics, t-test, ANOVA, Pearson’s correlation coefficient, and multiple regression using the PASW (SPSS ver. 18.0) program. Results: The average linguistic health literacy score was 32.23±21.46, the functional health literacy score was 6.51±5.08, the disease-related knowledge score was 17.85±9.01, and the health behavior score was 61.66±15.53. Education level (β=.351), income (β=.269), and perceived health status (β=.206) were significant factors in the study, explaining 41.8% of the variance in linguistic health literacy. Education level (β=.228), income (β=.272), age (β=-.239), and family support (β=.220) were significant factors, which explained 50.9% of the variance in functional health literacy. Education level (β=.268), linguistic health literacy (β=.381), and functional health literacy (β=.273) were significant factors, which explained 72.1% of the variance in disease-related knowledge. Health literacy independently explained 14.8% of disease-related knowledge. Education level (β=.267), family support (β=.204), and linguistic health literacy (β=.396) were significant factors, which explained 45.1% of the variance in health behavior. Linguistic health literacy specifically explained 9.5% of health behavior. Conclusion: The health literacy of patients with coronary artery disease was generally low-level. Health literacy was associated with disease- related knowledge and health behavior, influencing the factors of disease- related knowledge and health behavior. These findings show that health care providers need to pay attention to patients with coronary artery disease who have low health literacy. Nursing interventions to improve health literacy need to be developed and could promote disease-related knowledge and health behavior in patients with coronary artery disease.