• Title/Summary/Keyword: preventive health behavior

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Oral health behavior and related factors in public health majoring students (보건계열학과 학생들의 구강건강행위와 관련요인)

  • Han, Yeo-Jung;Han, Mi Ah;Ryu, So Yeon;Choi, Seong Woo
    • Journal of Korean society of Dental Hygiene
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    • v.15 no.3
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    • pp.487-495
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    • 2015
  • Objectives: The purpose of the study was to investigate the associated factors with oral health behavior in public health majoring students. Methods: Using convenience sampling method, the subjects were 474 health-related majoring students in Jeollanamdo. A self-reported questionnaire was completed from September 1 to 15, 2014. The questionnaire consisted of general characteristics of the subjects, oral health related characteristics, oral health knowledge and behavior. Data were analyzed using SAS 9.3 version. T-test, ANOVA, correlation and multiple linear regression analyses were performed to evaluate the related factors with oral health behavior. Cronbach's ${\alpha}$ in oral health knowledge in this study was 0.52 and that in oral health behavior was 0.80. Results: The overall score of oral health behavior was $3.38{\pm}0.52$. Of all behaviors, the practice in brush of teeth and tongue had the highest mean score. In multiple regression analysis, oral health knowledge in the nursing and dental hygiene students was positively associated with the oral health behavior(${\beta}=0.04$, p=0.003, ${\beta}=0.23$, p=0.003, and ${\beta}=0.18$, p=0.034, respectively). Necessity of dental care, one of oral symptom, and more than two oral symptoms were negatively associated with oral health behavior(${\beta}=-0.14$, p=0.002, ${\beta}=-0.11$, p=0.037, and ${\beta}=-0.17$, p=0.011, respectively). Conclusions: Higher oral health knowledge showed higher levels of oral health behavior. These results will enhance the quality of oral health behavior by increasing the level of oral health knowledge. The optimal oral health education program would be able to improve oral health behavior by increasing the level of oral health knowledge.

Converged Relationship between Oral Health Beliefs, Oral Disease Preventive Intention and Oral Disease Preventive Activities in Partial Middle Aged Adults (일부 중년층의 구강건강신념과 구강병 예방행동의도, 구강병 예방행동에 관한 융합적 관계)

  • Choi, Yu-Jin
    • Journal of the Korea Convergence Society
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    • v.7 no.4
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    • pp.209-215
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    • 2016
  • In this study, the amalgamative relationship associated with oral health belief and preventive behavior against oral disease subject to middle aged people was analyzed. 20 persons in their middle age living in U city were selected as final subjects for this analysis. It was found that a factor with the strongest effect on intention to prevent oral disease and preventive behavior among oral health belief was importance. In the study, it was identified that the parameters such as importance and benefit had a partial mediating effect on the intention to prevent oral disease and self-efficacy had complete mediating effect. Through these results, it seems necessary to develop an intervention program for middle aged people able to recognize importance and benefits of oral health by themselves in order to promote their oral health.

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.

Factors Predicting the Physical Activity Behavior of Female Adolescents: A Test of the Health Promotion Model

  • Mohamadian, Hashem;Arani, Mohammad Ghannaee
    • Journal of Preventive Medicine and Public Health
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    • v.47 no.1
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    • pp.64-71
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    • 2014
  • Objectives: Physical activity behavior begins to decline during adolescence and continues to decrease throughout young adulthood. This study aims to explain factors that influence physical activity behavior in a sample of female adolescents using a health promotion model framework. Methods: This cross-sectional survey was used to explore physical activity behavior among a sample of female adolescents. Participants completed measures of physical activity, perceived self-efficacy, self-esteem, social support, perceived barriers, and perceived affect. Interactions among the variables were examined using path analysis within a covariance modeling framework. Results: The final model accounted for an $R^2$ value of 0.52 for physical activity and offered a good model-data fit. The results indicated that physical activity was predicted by self-esteem (${\beta}$=0.46, p<0.001), perceived self-efficacy (${\beta}$=0.40, p<0.001), social support (${\beta}$=0.24, p<0.001), perceived barriers (${\beta}$=-0.19, p<0.001), and perceived affect (${\beta}$=0.17, p<0.001). Conclusions: The findings of this study showed that the health promotion model was useful to predict physical activity behavior among the Iranian female adolescents. Information related to the predictors of physical activity behavior will help researchers plan more tailored culturally relevant health promotion interventions for this population.

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.

The Nonlinear Association Between Internet Using Time for Non-Educational Purposes and Adolescent Health

  • Kim, Jong-Yeon
    • Journal of Preventive Medicine and Public Health
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    • v.45 no.1
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    • pp.37-46
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    • 2012
  • Objectives: This study was performed to consider the association between Internet using time for non-educational purposes and adolescent health, and to examine how health status differs between Internet users and non-users. Methods: We analyzed 2009 data from the Korea Adolescent Risk Behavior Web-Based Survey, conducted on a nationally representative sample of students in grades 7 to 12. A total of 75 066 adolescents were categorized into four groups according to their Internet using time excluding using for educational purposes: non-Internet users (NIUs), occasional Internet users (OIUs) (<1 h/d), moderate Internet users (MIUs) (${\geq}1$ and <2 h/d), and heavy Internet users (HIUs) (${\geq}2$ h/d). Health factors included eight health risk behavior indices, four mental health indices and six physical health indices. Results: The distribution of Internet use was as follows: NIUs 17.4%, OIUs 68.1%, MIUs 12.7%, and HIUs 1.7%. In multivariate analysis, using OIUs as a reference, U- or J-shaped associations were observed for five health risk behavior indices (current smoking, current drinking, drug abuse, sexual intercourse, sedentary behavior on weekdays) and four mental health indices (stressed, depressed, suicidal ideation, attempted suicide) in both genders. After removing confounding effects, including age, region, school type, subjective school record, subjective economic status, presence of parents, living with family, and sedentary behavior, these associations were still observed. Conclusions: Health professionals should consider both Internet non-users (for non-educational purposes) and heavy users to be high-risk groups in terms of health status. Also, more well-designed studies are needed to clarify what factors are working in these nonlinear associations.

The Effect of the Knowledge and Health Beliefs on Osteoporosis Preventive Health Behaviors among Middle-aged Women (중년여성의 골다공증에 대한 지식과 건강신념이 골다공증 예방행위에 미치는 영향)

  • Lee, Jong-Kyung
    • Research in Community and Public Health Nursing
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    • v.14 no.4
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    • pp.629-638
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    • 2003
  • Purpose: This study investigated the effects of knowledge and health belief on osteoporosis preventive health behaviors. Methods: The subjects of this study were 266 middle-aged women. Data were collected using a self-reporting questionnaire with 101 questions. The period of data collection was from the 3rd of January to the 28th of February 2003. Data were analyzed using SPSS 10.0 PC+ program. Results: The results were summarized as follows: 1. The average score of knowledge about osteoporosis was 16.93 out of 27. Particularly, middle-aged women had knowledge more about osteoporosis prevention measures than about risk factors. 2. Knowledge, self efficacy and barriers were significantly correlated with osteoporosis preventive health behaviors. 3. As for the relationship between subjects' general characteristics and their health preventive behaviors, the size of living district, economic status, BMI. family history of osteoporosis and perception of health status were found to have significant effects on health preventive behaviors. Conclusions: According to the results presented above, preventive health behaviors may be promoted by increasing knowledge and perceived self-efficacy as well as decreasing individuals' perceived barriers through health education.

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