• 대한예방한의학회지
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• 제6권2호
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• pp.19-35
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• 2002

To know the differences between health concern, health behavior, and subjective health cognition in urban and rural area, author used the correlation analysis between variables and wanted to provide basic data for public health service to support appropriate health care, health maintenance, and health promotion in community. Data collection were done in JeonBuk area from September 10 to October 10, 2001, and subjects were above 20 years old adult. 350 and 250 subjects were from urban and rural area by random sampling, respectively. Questionnaire were completed by interview with direct or self-recording type. Research tool was questionnaire with health concern, health behavior, and subjective health cognition, and data collected were analyzed into descriptives, crosstabs, T-test, ANOVA, Pearson correlation coefficient by SPSS 10.0 program. The results were as follows: 1. Health concern was 9.0% for upper group, 39.1% for middle group, 51.9% for lower group in urban area, and 10.1% for upper group, 41.0% for middle group, 48.8% for lower group in rural area. Health concern for middle and lower group was totally high percentage, and rural area had higher health concern than urban area. 2. Health behavior in both urban and rural area was statistically significant(p<0.01). Women who had higher age and with spouse had high degree of health behavior, and urban area had totally high score for health behavior compared to rural area. 3. Subjective health cognition was 71.0% for health, 29.0% for non-health in urban area, and 61.3% for health, 38.7% for non-health in rural area. Percentage of health group was higher in urban area than in rural area. 4. Degree of health behavior by health concern was statistically significant only in rural area. That is to say, the higher health concern had the higher degree of health behavior in rural area. Subjective health cognition by health behavior was totally significant correlation with health behavior in urban and rural area(p〈0.05). That is to say, the higher health behavior in urban and rural area had the higher subjective health cognition. 5. For correlations between 3 variables, there was significant correlation between health behavior and subjective health cognition in urban area (p<0.01). There were correlations between health concern and health behavior, health behavior and subjective health cognition(p<0.05). Considering above results, the higher health behavior had the higher subjective health cognition in urban area. The higher health concern had the higher behavior, and the higher health behavior had the higher subjective health cognition in rural area.

• 한국학교보건학회지
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• 제14권2호
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• pp.215-225
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• 2001

The purpose of this study was to identify factors related to High School Students' Attitudes(prejudice) toward HIV-infected classmates. 980 self-administrated questions were completed by high school male students. Stepwise Multiple Regression Analysis was performed with the following independent variables: knowledge about HIV/AIDS transmission, prevention, and HIV-antibody, interests, preventive behaviors, predicting level to peer HIV-related risk behavior, knowledge about information sites, perceived susceptibility, perceived severity, self-efficacy to prevention, related to AIDS/HIV, thought about premarital sexual behavior and homosexuality. The Regression Model is significant(R2=.1719, F=33.517, p<0.05) The significant factors are knowledge about HIV/AIDS transmission, intention of the preventive behaviors, knowledge of information sites, perceived severity, ideas about homosexuality, predicting level of peer HIV-related risk behavior. The results of this study provide information for effective education program development and health policy about AIDS prevention and management.

• 대한예방의학회:학술대회논문집
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• 대한예방의학회 2000년도 제52차 추계학술대회 연제집
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• pp.246-247
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• 2000

• 근관절건강학회지
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• 제28권3호
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• pp.209-216
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• 2021

Purpose: This study aimed to determine the effect of knowledge and attitudes of preventive behavior plans (PBPs) on Zika virus infection among university students. Methods: Participants included 130 students from H University in Korea. Electronic self-reported questionnaires were used to collect data. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and regression analysis with SPSS/WIN 23.0. Results: The mean percentile score for knowledge was 35.52±20.63. The mean scores for attitudes and PBPs were 3.31±0.47 and 3.07±0.72, respectively, out of 5 points. Knowledge (t=-5.79, p<.001), attitudes (t=-3.17, p=.002), and PBPs (t=-2.67, p=.009) differed significantly with respect to awareness concerning Zika virus infection. The factor 'attitudes' significantly affected PBPs, with an R² value of 12.0% (β=.27, p<.001). Conclusion: Developing a correct attitude toward Zika virus infection may be key to improving preventive behaviors. Health education messages should be tailored to increase preventive behaviors against Zika virus infection. Nursing educators will benefit from partnerships with health educators and by using internet media to speed up the dissemination of Zika virus information.

• Journal of Preventive Medicine and Public Health
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• 제42권5호
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• pp.305-314
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• 2009

Objectives : The physical activity of Korean adolescents and its distribution based on social characteristics have not yet been fully assessed. This study intends to reveal the distribution of physical activity by its subgroups and offer possible explanatory variables. Methods : The 3rd Korea Youth Risk Behavior Web-based Survey was analyzed for this study. The appropriateness of physical activity was defined by Korea s Health Plan 2010 and physical inactivity was assessed independently. Family affluence scale, parents education levels, subjective economic status, grade, and school location were considered explanatory variables. All statistical analysis was conducted using SAS ver. 9.1. Results : The proportion of participants engaging in vigorous physical activity was high in males (41.6%), at a low grade (38.5%), within the high family affluence scale group (35.5%). The distribution of participants engaging in moderate physical activity showed similar patterns, but the overall proportion was lower (9.8%). Low family affluence and students with lower subjective economic status reported a higher prevalence of physical inactivity. In multiple logistic regression analysis for physical activity, significant factors included family affluence scale (p<0.05). For physical inactivity, family affluence scale, parents education levels, and subjective economic status were included as significant factors (p<0.05). Conclusions : The results suggest that the physical activity and inactivity of adolescents may be affected by socioeconomic variables, such as family affluence scale. This implies the need to take proper measures to address these socio-economic inequalities.

• Journal of Preventive Medicine and Public Health
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• 제43권5호
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• pp.403-410
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• 2010

Objectives: A web-based survey has been administered annually since 2005 throughout Korea to assess the prevalence of adolescent health risk behaviors among middle and high school students. The aim of this study was to evaluate the test-retest reliability of the Korea Youth Risk Behavior Web-based Survey (KYRBWS) questionnaire. Methods: A convenience sample of 2298 middle and high school students participated in self-administered questionnaire surveys twice, approximately two weeks apart, in 2008. The percent agreement, kappa statistics, and prevalence rates at the first and second surveys were computed for the core subset of 39 self-reported health risk behavior indices of the KYRBWS. Results: Among 39 indices, seven indices had kappas $\geq$ 0.81 and all of the indices had kappas $\geq$ 0.41. Based on nonoverlapping 95% confidence intervals, three indices had significantly different prevalence rates between the first and second surveys. In the subgroup analyses by school grade and gender, two indices had significantly different reliability estimates between middle and high school students. There were no significantly different reliability estimates between male and female students, except for one index. Conclusions: This study demonstrated that the reliability estimates for the KYRBWS questionnaire are varied, but generally reliable over time. The indices with low reliability estimates need to be evaluated further in order to determine whether the indices should be modified or deleted from future versions of the KYRBWS.

• Journal of Preventive Medicine and Public Health
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• 제45권1호
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• pp.14-20
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• 2012

Objectives: The aim of this study was to evaluate and quantify the risk of both individual and combined health behaviors on premature mortality in middle aged men in Korea. Methods: In total, 14 533 male subjects 40 to 59 years of age were recruited. At enrollment, subjects completed a baseline questionnaire, which included information about socio-demographic factors, past medical history, and life style. During the follow-up period from 1993 to 2008, we identified 990 all-cause premature deaths using national death certificates. A Cox proportional hazard regression model was used to estimate the hazard ratio (HR) of each health risk behavior, which included smoking, drinking, physical inactivity, and lack of sleep hours. Using the Cox model, each health behavior was assigned a risk score proportional to its regression coefficient value. Health risk scores were calculated for each patient and the HR of all-cause premature mortality was calculated according to risk score. Results: Current smoking and drinking, high body mass index, less sleep hours, and less education were significantly associated with all-cause premature mortality, while regular exercise was associated with a reduced risk. When combined by health risk score, there was a strong trend for increased mortality risk with increased score (p-trend < 0.01). When compared with the 1-9 score group, HRs of the 10-19 and 20-28 score groups were 2.58 (95% confidence intervals [CIs], 2.19 to 3.03) and 7.09 (95% CIs, 5.21 to 9.66), respectively. Conclusions: Modifiable risk factors, such as smoking, drinking, and regular exercise, have considerable impact on premature mortality and should be assessed in combination.

• Journal of Preventive Medicine and Public Health
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• 제46권6호
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• pp.319-328
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• 2013

Objectives: This study estimated the association of cardiovascular health behaviors with the risk of all-cause and cardiovascular disease (CVD) mortality in middle-aged men in Korea. Methods: In total, 12 538 men aged 40 to 59 years were enrolled in 1993 and followed up through 2011. Cardiovascular health metrics defined the following lifestyle behaviors proposed by the American Heart Association: smoking, physical activity, body mass index, diet habit score, total cholesterol, blood pressure, and fasting blood glucose. The cardiovascular health metrics score was calculated as a single categorical variable, by assigning 1 point to each ideal healthy behavior. A Cox proportional hazards regression model was used to estimate the hazard ratio of cardiovascular health behavior. Population attributable risks (PARs) were calculated from the significant cardiovascular health metrics. Results: There were 1054 total and 171 CVD deaths over 230 690 person-years of follow-up. The prevalence of meeting all 7 cardiovascular health metrics was 0.67%. Current smoking, elevated blood pressure, and high fasting blood glucose were significantly associated with all-cause and CVD mortality. The adjusted PARs for the 3 significant metrics combined were 35.2% (95% confidence interval [CI], 21.7 to 47.4) and 52.8% (95% CI, 22.0 to 74.0) for all-cause and CVD mortality, respectively. The adjusted hazard ratios of the groups with a 6-7 vs. 0-2 cardiovascular health metrics score were 0.42 (95% CI, 0.31 to 0.59) for all-cause mortality and 0.10 (95% CI, 0.03 to 0.29) for CVD mortality. Conclusions: Among cardiovascular health behaviors, not smoking, normal blood pressure, and recommended fasting blood glucose levels were associated with reduced risks of all-cause and CVD mortality. Meeting a greater number of cardiovascular health metrics was associated with a lower risk of all-cause and CVD mortality.

• 기본간호학회지
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• 제6권1호
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• pp.141-152
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• 1999

본 연구는 노인이 지각한 가족지지와 자아존중감 및 예방적 건강행위 이행정도와 각각의 관계를 파악하여 노인의 질적인 삶을 유지, 증진시키는 간호중재를 위한 기초자료를 제공하기 위하여 실시되었다. 연구대상은 재가노인 191명으로 K시 소재 1개의 노인학교와 8개의 노인정을 중심으로 조사하였다. 연구도구는 강현숙(1984)이 개발한 가족지지 측정도구, Rosenberg(1965)의 자아존중감 측정도구, 강윤숙(1989)이 개발한 예방적 건강행위 측정도구를 이용하여 구조화된 질문지를 이용한 면담을 통해 자료수집을 하였으며, 자료수집 기간은 1998년 9월17일부터 9월31일까지였다. 자료분석은 SAS 프로그램을 이용하여 대상자의 일반적인 특성은 실수와 백분율, 대상자의 가족지지, 자아존중감, 예방적 건강행위 이행정도는 최소값, 최대값, 평균, 표준편차를 산출하였고 일반적인 특성별 가족지지, 자아존중감, 예방적 건강행위와의 관계는 t-test와 ANOVA로 가족지지와 자아존중감 및 예방적 건강행위와의 관계는 Pearson Correlation Coefficients를 이용하였다. 연구결과는 다음과 같다. 1. 노인이 지각한 가족지지 정도는 평균 40.49점이었고, 일반적 특성에 따른 가족지지 정도는 연령, 배우자 유무, 동거유형, 경제상태, 한달 용돈 등에서 유의한 차이를 보였다. 2. 노인의 자아존중감 정도는 평균 29.01점이었고, 일반적 특성에 따른 자아존중감 정도는 교육정도, 배우자 유무, 동거유형, 경제상태, 한달용돈 등에서 유의한 차이를 보였다. 3. 노인의 예방적 건강행위 이행정도는 평균 53.15점이었고, 일반적 특성에 따른 예방적 건강 행위 이행정도는 경제상태, 한달용돈에서 유의한 차이를 보였다. 4. 노인이 지각한 가족지지와 자아존중감 및 예방적 건강행위 이행과의 상관관계에서 노인이 지각한 가족지지와 자아존중감은 유의한 순상관 관계를 보였고(r=.57, P<.001), 가족지지와 예방적 건강행위 이행정도와도 유의한 순상관 관계를 보였으며(r=.44, P<.001), 자아존중감과 예방적 건강행위 이행정도와도 서로 순상 관관계를 나타내어(r=.51, P<.001), 노인이 지각한 가족지지와 자아존중감 및 예방적 건강 행위 사이에는 유의한 상관관계가 있었다.

• 가정∙방문간호학회지
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• 제29권1호
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• pp.82-92
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• 2022

Purpose: The purpose of this study was to investigate the factors affecting the prevention behavior of COVID-19 infection among nursing students. Methods: This survey was conducted from September 3 to October 2, 2021 among 172 sophomore and senior students at universities in D metropolitan city and J province. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation and Hierarchical Regression. Results: There were significant differences in COVID-19 preventive behavior by gender (t=0.13, p=.017) and clinical practice experience (t=2.78, p=.006). COVID-19 preventive behavior showed significantly positive correlations with subjective norm (r=.35, p<.001), self-efficacy(r=.33, p<.001), and intention(r=.62, p<.001). The variables affecting COVID-19 preventive behavior were intention(β=.529, p<.001), subjective norm(β=.169, p=.008), and clinical practice experience(β=.118, p=.049), and the explanatory power was 43%. Conclusion: Considering these results, it is necessary to develop strategies that can encourage the intention of nursing students to practice prevention for COVID-19 infection control. In addition, maintaining subjective norms through national policies is a critical strategy.