• Title/Summary/Keyword: and Preventive Health Behavior

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Factors Affecting the Preventive Behavior of Cardiocerebrovascular Disease in Blue Color Workers (생산직 근로자의 심뇌혈관질환 예방실천행위에 영향을 미치는 요인)

  • Lee, Young Ok;Choi, Yeon Hee
    • The Korean Journal of Rehabilitation Nursing
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    • v.16 no.1
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    • pp.63-70
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    • 2013
  • Purpose: The purpose of this study was to investigate blue color workers' knowledge and attitudes about cardiocerebrovascular disease, and these influence on their preventive health behavior. Methods: Data were collected from 235 blue color workers using questionnaire in 'H' city. Data were analyzed using hierarchical multiple regression analysis with SPSS/WIN 17.0 version. Results: Health behaviors for preventing cardiocerebrovascular disease were correlated positively with knowledge about cardiocerebrovascular disease. In addition, preventive behaviors for cardiocerebrovascular disease was influenced by marital status, monthly income, past history of cardiocerebrovascular disease, and knowledge about cardiovascular disease. Conclusion: Knowledge about cardiocerebrovascular disease has an effect on preventive behaviors regarding cardiocerebrovascular disease. For preventing cardiocerebrovascular disease, national campaign and health education program in each industry need to be built.

A Study on Influencing Factor of COVID-19 Preventive Behavior for Adult Males and Females in their 20s and 30s Living in Metropolitan Area (수도권 거주 20-30대 성인 남녀의 코로나19 예방행동 영향요인에 관한 연구)

  • Moon, Woo-Jin;Yang, Hye-Jung
    • The Journal of the Korea Contents Association
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    • v.22 no.4
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    • pp.609-619
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    • 2022
  • This study was performed to research the influencing factor of COVID-19 preventive behavior focused on people in their 20s and 30s who recently have a high infection rate of COVID-19. The online survey was conducted through structural questionnaire aimed at 210 people in their 20s and 30s of metropolitan area from July 10th to 19th in 2021. The results are as follows. First, as a result of analyzing the relation between health belief and COVID-19 preventive behavior, as perceived seriousness, perceived vulnerability, perceived disability and perceived benefit, COVID-19 preventive behavior is well conducted. Second, as perceived benefit of health belief get higher, the subjective norm is well observed. Third, as subjective norm and perceived behavioral control become higher, COVID-19 preventive behavior is well conducted. Fourth, the subjective norm and perceived behavioral control have a mediating effect in the relation between subjective norm.

Using the Health Belief Model to Predict Tuberculosis Preventive Behaviors Among Tuberculosis Patients' Household Contacts During the COVID-19 Pandemic in the Border Areas of Northern Thailand

  • Nantawan Khamai;Katekaew Seangpraw;Parichat Ong-Artborirak
    • Journal of Preventive Medicine and Public Health
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    • v.57 no.3
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    • pp.223-233
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    • 2024
  • Objectives: The coronavirus disease 2019 pandemic has exacerbated the rate of tuberculosis (TB) infection among close contacts of TB patients in remote regions. However, research on preventive behaviors, guided by the Health Belief Model (HBM), among household contacts of TB cases is scarce. This study aimed to employ the HBM as a framework to predict TB preventive behaviors among household contacts of TB patients in the border areas of Northern Thailand. Methods: A cross-sectional study with multi-stage random sampling was conducted in Chiang Rai Province. The study included 422 TB patients' household contacts aged 18 years or older who had available chest X-ray (CXR) results. A self-administered questionnaire was used to conduct the survey. Results: The participants' mean age was 42.93 years. Pearson correlation analysis showed that TB preventive behavior scores were significantly correlated with TB knowledge (r=0.397), perceived susceptibility (r=0.565), perceived severity (r=0.452), perceived benefits (r=0.581), self-efficacy (r=0.526), and cues to action (r=0.179). Binary logistic regression revealed that the modeled odds of having an abnormal CXR decreased by 30.0% for each 1-point score increase in preventive behavior (odds ratio, 0.70; 95% confidence interval, 0.61 to 0.79). Conclusions: HBM constructs were able to explain preventive behaviors among TB patients' household contacts. The HBM could be used in health promotion programs to improve TB preventive behaviors and avoid negative outcomes.

Factors influencing the intention to engage in cervical cancer preventive behavior in human papillomavirus-infected women: a cross-sectional survey

  • Bogyeong Song;So Young Choi
    • Women's Health Nursing
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    • v.29 no.4
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    • pp.317-327
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    • 2023
  • Purpose: This study investigated the influence of cervical cancer knowledge, human papillomavirus (HPV) knowledge, self-efficacy, and uncertainty on the intention to engage in cervical cancer preventive behavior in HPV-infected women. Methods: This descriptive correlational study was conducted among 129 adult women aged 20 to 65 years who received positive HPV results at a general hospital in Changwon, Korea. The dataset was analyzed using descriptive statistics, the independent t-test, analysis of variance, the Pearson correlation coefficient, and multiple regression. Results: The mean score for the intention to engage in cervical cancer preventive behavior was high (4.43±0.65). This intention was significantly different according to age at first sexual intercourse (F=7.38, p=.001), HPV type (F=4.79, p=.010), vaccination (t=3.19, p=.002), and condom use (t=3.03, p=.003). The intention to engage in cervical cancer preventive behavior showed significant, weak-to-moderate positive correlations with HPV knowledge (r=.22, p=.012) and self-efficacy (r=.42, p<.001). Self-efficacy (β=.46, p<.001), first sexual intercourse at <20 years (β=.45, p<.001), first sexual intercourse at 20-24 years (β=.29, p=. 018), HPV high- and low-risk group infection (β=.26, p=.019), HPV high-risk group infection (β=.26, p=.026), and vaccination (β=.21, p=.007) significantly influenced the intention to engage in cervical cancer preventive behavior. These variables explained 34.6% of variance in intention. Conclusion: Study findings support the need to develop a program that effectively conveys accurate information about cervical cancer prevention to HPV-infected women and helps them enhance self-efficacy to boost the intention to engage in cervical cancer preventive behavior.

Factors Affecting Preventive Behavior of Dementia of the elderly living alone in the Community (지역사회 거주 독거노인의 치매예방행위에 미치는 영향요인)

  • Han, Eun-Kyoung;Suh, Yujin
    • Journal of the Korean Applied Science and Technology
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    • v.39 no.3
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    • pp.377-385
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    • 2022
  • The purpose of this study was to investigate the effects of knowledge of dementia and attitude of dementia on preventive behavior of dementia in the elderly living alone. The subjects of this study were 101 elderly living alone in the community and data collection was from January 2 to 16, 2020. Data was analyzed using the SPSS/WIN 24.0 program by descriptive statistics, Pearson's correlation, multiple regression analysis. There was a positive correlation between preventive behavior of dementia(r=.42, p<.001). Exercise(β=-.26, p=003), subjective health status(β=.26, p=.003) and knowledge of dementia(β=.37, p<.001) were found to be factors influencing preventive behavior of dementia among the elderly living alone in the community. The results of this study suggest that it is necessary to develop some programs that include factors such as exercise, subjective health status and knowledge of dementia for preventive behavior of dementia.

Determinants of restaurant consumers' intention to practice COVID-19 preventive behavior: an application of the theory of planned behavior

  • Jeong, Jin-Yi;Lee, Hojin
    • Nutrition Research and Practice
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    • v.15 no.sup1
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    • pp.79-93
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    • 2021
  • BACKGROUND/OBJECTIVES: The purpose of this study was to examine the effects of knowledge about coronavirus disease 2019 (COVID-19), attitude, subjective norm, and perceived behavioral control on behavioral intentions to practice COVID-19 preventive behaviors using the theory of planned behavior (TPB). SUBJECTS/METHODS: A total of 519 restaurant customers' responses was collected in this study through an online self-administered questionnaire. Descriptive statistical analysis was performed on socio-demographic factors. One-way analysis of variance and t-test were conducted to determine differences in the constructs from the TPB according to age and sex. The hypotheses were tested using structural equation modeling (SEM). RESULTS: SEM revealed the positive effect of knowledge about COVID-19 on attitude, subjective norm, and perceived behavioral control to prevent the spread of COVID-19 in restaurants. Attitude, subjective norm, behavior intention, and knowledge positively affected COVID-19 preventive behavior intentions in restaurants. CONCLUSIONS: The results of this study confirmed that the TPB is helpful in elucidating the determinants of consumers' intention to practice COVID-19 preventive behavior in restaurants. These findings can help policy makers and professionals provide material for further public health interventions and inform them about awareness-raising, guidelines, and health education programs.

Comparison of the Oral Health Behavior and the Oral Health Status According to Residential Areas in Korean Adults: based on 2012 KNHANES data (거주 지역 간 성인의 구강건강행태 및 구강건강상태 비교)

  • Hwang, Chan-Hui;Park, Jong;Ryu, So-Yeon;Choi, Seong-Woo
    • Journal of Technologic Dentistry
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    • v.37 no.1
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    • pp.33-43
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    • 2015
  • Purpose: This study aimed to evaluate and compare the oral health behavior in adults and their oral health status according to their residential area. Methods: The date of 'The fifth Korea National Health and Nutrition Examination Survey 2012' was analyzed for this study. This study were adults over the age of 18 who participated in interviews with the use of a questionnaire and oral examinations. Of those, 4,273 who met all the variables necessary were selected for the final analysis. The residential areas were categorized into 'metropolitan city', 'city', and 'rural area' based on Dong, Eup and Myon as administrative districts. Results: Adjusted odds ratio of oral health behavior according to residential area, self-recognition of oral health status for subjects in rural areas was 0.75(0.59-0.96), using oral hygiene devices for those in rural areas was 0.75(0.63-0.88). Adjusted odds ratio of oral health status according to residential area, periodontal disease in rural areas was 1.97(1.62-2.41), the necessity of prosthetic treatment in subjects in rural areas was 1.27(1.01-1.60). Conclusion: It was discovered that there was a difference between the oral health behavior and oral health status of adults according to residential area. Therefore, to enhance oral health status, programs for which the characteristics of areas with such differences were considered should be developed and consistent research on strategies to reduce the gaps in the oral health status should be made.

A Study on the Relationship between Knowledge, Risk Perception, Preventive Health Behavior from Coronavirus disease-2019 in Nursing Students (신종 코로나바이러스감염증-19에 대한 간호대학생의 지식 및 위험지각과 예방적 건강행위와의 관련성 연구)

  • Kim, Haejin;Cheon, Eui Young;Yoo, Jang Hak
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.4
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    • pp.246-254
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    • 2021
  • The purpose of this study was to investigate the effects of knowledge and risk perception of coronavirus disease-2019 on preventive health behavior among nursing students. The survey participants were 291 students in A city. Data were collected using self-report questionnaires between August 1 and 20, 2020. Data were analyzed using descriptive statistics, the independent t-test, one-way ANOVA, Pearson's correlation coefficients, and stepwise multiple regression in SPSS ver. 18.0. Knowledge of COVID-19 was significantly dependent on age and school records. Risk perceptions were significantly dependent on educational grades. Age, health status, knowledge, and risk perception had significant effects on preventive health behavior, which was found to be positively correlated with knowledge and risk perception. Stepwise multiple regression analysis revealed that age significantly predicted preventive health behavior (β=.188, p<.01), health status (β=-.245, p<.001), knowledge (β=.254, p<.001), and risk perception (β=.191, p<.001) that it accounted for 18.9% (F=17.904, p<.001) of the variance. An educational program is required to enhance the preventive health behavior of nursing students in a background of COVID-2019 that considers student age, health level, knowledge, and perception of risk.

Effect of Smoking Preventive Education on Smoking-related Knowledge, Attitude, and Practice of Health Behaviors among Elementary School Children (흡연 예방교육이 초등학생의 흡연관련 지식, 태도 및 건강행위 실천에 미치는 효과)

  • Kim, Yu-Ja;Kang, Hae-Young
    • Journal of the Korean Society of School Health
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    • v.20 no.1
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    • pp.1-9
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    • 2007
  • Purpose: The purpose of this study was to examine the effect of school-based preventive education on smoking-related knowledge, attitude and practice of health behaviors among elementary school children at a rural province in Korea. Methods: The subjects were 134 among the 4th -6th graders (exp. = 67, control = 67) from two schools at J province. Education program was conducted in 5-sessions for experimental group. And study instrument for smoking-related knowledge was developed 2-point 15-items (a = .82), for attitude was 3-point 15-items (a = .79), and for practice of health behavior was also 3-point 30-items (a = .86). Data were collected by interview from May 28th to July 10th 2003 and analyzed with the frequency, percentage, x2-test and t-test using SPSS-PC program, Results: The group of having smoking experiences was 14.2% and 52.2% of the subject had smoking family members. The first motive of smoking was curiosity in 78.9% and 36.8% of them started smoking before the third grade. School-based preventive education of smoking were affirmatively effective in smoking-related knowledge (t = 4.14, p = .001), smoking-related attitude (t = 3.654, p = .001), practice of health behavior, on the other hand, was not changed significantly by the education. Conclusion: Based on these findings, the authors recommend that school-based smoking prevention education should be started from lower graders in regular curricular basis and health promotion program for primary school children should be emphasized to lead healthy behavior in collaboration with public and private health sectors in community.

Relationships between Social Support & Social Network and Health Behavior (사회적 지지, 사회 조직망과 건강행태의 관련성)

  • Park, Jun;Kang, Gil-Won;Tak, Yang-Ju;Chang, Soung-Hoon;Lee, Kun-Sei;Kim, Hyeong-Su
    • Health Policy and Management
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    • v.21 no.4
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    • pp.493-510
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    • 2011
  • Objectives : This study aims to explore how social support and social network are related with health behavior. Methods : The target population was 12,449 people in Chungcheongbuk-do. The sample was accrued for the period of 3 months in 2008 by face to face interview of direct visiting from systematic sampling method. The instruments used in this study were social support, social network and health behavior. Results : There was significant difference in the level of social support and social network by sex, age, educational level, occupation, and monthly income(p<0.05). There was significant difference in the level of social support by alcohol drinking, physical exercise. There was significant difference in the level of social network by smoking, alcohol drinking, physical exercise, obesity(p<0.05). Multivarite analysis shows significant difference in the level of social instrumental support by smoking, physical exercise. It shows significant difference in the level of social emotional support by smoking. It also shows significant difference in the level of social network by smoking, physical exercise. Conclusion : These results suggest that social support and social network may be associated with health behavior. Because this study was cross sectional research, the order was not found between social support, social network and health behavior. Through a study on monitoring, we will obtain more information for relationship.