Purpose: To estimate the prevalence of periodontitis in Korean adults and to examine the associations between periodontitis and known risk factors. Methods: Using Korean National Oral Health Survey 2006 data, a total of 4,263 people who had taken oral examination, interviewed by questionnaire, and aged 18 or older were sampled. The prevalence of periodontitis measured by Community Periodontal Index (CPI) was calculated and the differences in prevalence according to known risk factors (age, sex, monthly income, education, residential area, tooth-brushing frequency, regular dental visit, smoking, and diabetes) were examined with chi-square test. Logistic regression analysis was performed to see the effects of each risk factor on the risk of having periodontitis. All statistical approaches were reflected national sampling design using Survey procedures in SAS 9.1. Results: The overall prevalence of periodontitis in Korean adults was 10.3%. There existed statistically significant differences in crude prevalence for periodontitis according to the all risk factors. In logistic regression, older age groups (O.R.:2.94-3.71), people living in rural area (O.R.:1.87), and current smokers (O.R.:1.77) were significantly prone to have periodontitis. People who earned monthly income of more than 2 million Korean won (O.R.:0.64) and brushed their teeth two or more times per day (O.R.:0.60-0.62) had significantly lower risk of having periodontitis. Conclusions: About 10% of Korean adults had periodontitis in 2006. People who were older, living in rural region, in lower income status, smoking, less tooth brushing were more likely to have periodontitis.
Purpose: The purpose of this study was to compare the mental health factors related to health risk behaviors between multicultural and monocultural adolescents. Methods: The study subjects were selected from the 2018 Korea Youth Risk Behavior Web-Based Survey Dataset. A total of 60,040 multicultural and monocultural adolescents were included in the analysis. A $x^2$ test and logistic regression were conducted, using SPSS 18.0, to compare the general characteristics, mental health, and health risk behaviors of the multicultural and monocultural adolescents. This process involved a complex sample design. Results: There was a significant difference in the rates of suicidal behaviors. Multicultural adolescents showed a significantly higher rate of suicidal ideation (8.6% vs. 8.5%, p=.004), suicidal plan (3.2% vs. 2.4%, p=.004), and suicidal attempt (5.0% vs 3.1%, p=.04) than monocultural adolescents. Perceived stress had a significant impact only on monocultural adolescents. Monocultural adolescents with high levels of perceived stress were at a greater risk of drinking (high stress=reference; low stress OR=0.91, p=.025) and smoking (high stress=reference; low stress OR=0.90, p=.029) than those with low stress. Multicultural adolescents who had made suicide attempts were at a higher risk of drinking (multicultural OR=7.879, p<.001; monocultural OR=2.481, p<.001) and smoking (multicultural OR=4.011, p=.015; monocultural OR=2.800, p<.001) than monocultural adolescents. Conclusion: To implement an effective smoking and drinking prevention program, it is necessary to consider how we can reduce the risk factors. Stress management is important for monocultural adolescents and a proactive suicide-screening program and a suicide prevention program should be included in the program for both multicultural and monocultural adolescents.
In recent years, interests in health promotion have been stimulated by the epidemiological transition from infectious to chronic diseases as lead ing causes of death, the aging of the population, rapidly escalating health care costs, and epidemiologic findings linking individual risk to morbidity and mortality. It is not surprising that the workplace has been targeted as a promising setting for health promotion. In Korea, national attention to the opportunities for workplace health promotion began in the first 1990s. But there is no in depth study to identify the relating factors to the health promotion program in the workplace. The objective of this study is behavioral and physical characteristics to find that in crease the person's risk for a range of health problems and to analysis other characteristics to influence the degree of his/her intention to change health behavior. In addition, this study is purposed to present the process of planning health promotion program in the workplace. To accomplish these objectives, one workplaces was selected. And 363 employees in those workplaces were served as subjects for the study. Major findings in this study are as follows. (1) They have many risk factors such as smoking, drinking, lack of sleep, law rate of regular exercise, irregular eating, stress. (2) Some of the health risk factors such as smoking, drinking, and stress have the negative correlation to the intention to change. (3) Among cognitive and socio-environmental factors, significant predictors to the intention are attitude and social support. (4) In the cluster analysis to segment the target population in to homogeneous unit, three clusters of lifestyle are specified. (5) Smoking cessation and exercise program are planned for the risk group to change their behavior.
Chang, Hoo-Sun;Kim, Hyeon-Chang;Ahn, Song-Vogue;Hur, Nam-Wook;Suh, Il
Journal of Preventive Medicine and Public Health
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v.40
no.5
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pp.411-417
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2007
Objectives: Although risk factors for coronary artery disease are also associated with increased carotid intima-media thickness (IMT), there is little information available on the asymptomatic, young adult population. We examined the association between multiple cardiovascular risk factors and the common carotid IMT in 280 young Korean adults. Methods: The data used for this study was obtained from 280 subjects (130 men and 150 women) aged 25 years who participated in the Kangwha Study follow-up examination in 2005. We measured cardiovascular risk factors, including anthropometries, blood pressure, blood chemistry, carotid ultrasonography, and reviewed questionnaires on health behaviors. Risk factors were defined as values above the sex-specific 75th percentile of systolic blood pressure, body mass index, total cholesterol/ high-density lipoprotein cholesterol ratio, fasting blood glucose and smoking status. Results: The mean carotid IMT${\pm}$standard deviation observed was $0.683{\pm}0.079mm$ in men and $0.678{\pm}0.067mm$ in women (p=0.567) and the evidence of plaque was not observed in any individuals. Mean carotid IMT increased with an increasing number of risk factors(p for trend <0.001) and carotid IMT values were 0.665 mm, 0.674 mm, 0.686 mm, 0.702 mm, and 0.748 mm for 0, 1, 2, 3, and 4 to 5 risk factors, respectively. The odds ratio for having the top quartile carotid IMT in men with 3 or more risk factors versus 0-2 risk factors was 5.09 (95% CI, 2.05-12.64). Conclusions: Current findings indicate the need for prevention and control of cardiovascular risk factors in young adults and more focus on those with multiple cardiovascular risk factors.
Background: To identify work sectors with high risk for work-related musculoskeletal disorders (MSDs) in Korean men and women. Methods: We analyzed nationwide data to identify ergonomic risk factors in Korean employees. In particular, we analyzed data on exposure to five ergonomic risk factors (painful/tiring postures, lifting/moving heavy materials, standing/walking, repetitive hand/arm movements, and hand/arm vibration) according to employment sector, sex, and age, using the 2014 Fourth Korean Working Conditions Survey. We also used workers' compensation data on work-related MSDs in 2010, which is available by sex. Results: The different work sectors had different gender distributions. "Manufacturing" (27.7%) and "construction" (11.3%) were dominated by males, whereas "human health and social work activities" (12.4%), "hotel and restaurants" (11.7%), and "education" (10.4%) were dominated by females. However, "wholesale and retail trade" and "public administration and defense" employed large numbers of males and females. Furthermore, the work sectors with a greater proportion of work-related MSDs and with multiple ergonomic risk factors were different for men and women. For men, "construction" and "manufacturing" had the highest risk for work-related MSDs; for women, "hotel and restaurants" had the highest risk for work-related MSDs. Conclusion: Ergonomic interventions for workers should consider gender and should focus on work sectors with high risk for MSDs, with multiple ergonomic risk factors, and with the largest number of workers.
Objectives: Although there are many reports about the risk of breast cancer, few have reported clinical factors including history of breast-related or other diseases that affect the prevalence of breast cancer. This study explores these risk factors for breast cancer cases reported in Beijing in 2009. Materials and Methods: Data were derived from a Beijing breast cancer screening performed in 2009, of 568,000 women, from 16 districts of Beijing, all aged between 40 and 60 years. In this study, multilevel statistical modeling was used to identify clinical factors that affect the prevalence of breast cancer and to provide more reliable evidence for clinical diagnostics by using screening data. Results and Conclusion: Those women who had organ transplants, compared with those with none, were associated with breast cancer with an odds ratio (OR)=65.352 [95% confidence interval (CI): 8.488-503.165] and those with solid breast mass compared with none had OR=1.384 (95% CI: 1.022-1.873). Malignant tendency was strongly associated with increased risk of breast cancer, OR=207.999(95% CI: 151.950-284.721). The risk of breast cancer increased with age, $OR_1$=2.759 (95% CI: 1.837-4.144, 56-60 vs. 40-45), $OR_2$=2.047 (95% CI: 1.394-3.077, 51-55 vs. 40-45), $OR_3$=1.668 (95% CI: 1.145-2.431). Normal results of B ultrasonic examination show a lower risk among participants, OR= 0.136 (95% CI: 0.085-0.218). Those women with ductal papilloma compared with none were associated with breast cancer, OR=6.524 (95% CI: 1.871-22.746). Therefore, this study suggests that clinical doctors should pay attention to these high-risk factors.
The purpose of this study is to identify the influence of demographic characteristics such as inappropriate lifestyle, stress, and health status among health risk factors of early adolescents according to gender. There is a gender difference in the perception of mental and physical health of early adolescents, and the result can be different in behavior patterns between men and women. This study was conducted to identify the health risk factors as independent variables for early adolescents in Daegu and Gyeongbuk area, and to analyze the determinants of gender (male, female) differences by parents, family environment, friends, academic background, appearance, grade, location, school grades, family situation, and health status as demographic factors. And, the Odds Ratio of the early adolescents was analyzed through logit analysis and the differences according to the influence relationship of each of them were examined. As a result of the analysis, the more the sleep and physical activity, parents, home environment, friends, academic background, and appearance are increased, the more the influence is likely to become on the male students. On the contrary, the rest of the health risk factors can increase, and the threat to the health risk factors is likely to become severe to the female students.Among them, it is necessary to develop a pre-preventive program for early adolescents' health risk factors, provide basic data for practical application in the field, and seek a detailed program according to the gender of early adolescents.
Choi, Huiyoung;Lee, Wangjun;You, Myoungsoon;Chang, Jhin Goo;Hong, Minha;Kim, Hyun-Soo;Lee, Su Young
Anxiety and mood
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v.18
no.2
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pp.80-91
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2022
Objective : Hospital workers' mental health has deteriorated because of the ongoing COVID-19 pandemic. The purpose of this study was to investigate the impact of the prolonged COVID-19 pandemic on the mental health of hospital workers and its determinants. Methods : Two surveys were conducted among employees working in a hospital that received COVID-19 patients from the early phase of the pandemic in South Korea. Data on demographics, perceived threat, workplace evaluation, resilience, and mental health status were collected using the Korean General Health Questionnaire-20 in the initial phase (February 2020) and during the third wave of COVID-19 (December 2020) for 467 and 545 workers, respectively. The mental health of hospital workers in the two phases was compared, and the risk and protective factors during the third wave were investigated. Results : The proportion of patients in the psychiatric high-risk group increased from 2.8% in the initial phase to 11.4% during the third wave. The perceived threat, workplace evaluation, and resilience of respondents deteriorated. Risk factors for mental health during the third wave included the perceived threat items of job stress, loss of control, and considering resignation. Protective factors included presence of children, workplace satisfaction, and hardiness in resilience. Conclusion : Hospital workers' mental health deteriorated as the pandemic progressed. General stress and tension such as job stress, loss of control, considering resignation rather than COVID-19-specific stress had negative effects on mental health of hospital workers. Therefore, care for work stress itself can be helpful to maintain the mental health of hospital workers. Also, governance to improve workplace satisfaction or hardiness in resilience can be a potential protective factor for hospital workers' mental health during the prolonged pandemic.
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.
Purpose: This study purposed to examine the disease-related knowledge level and compliance with good health behavior in patients with myocardial infarction according to the atherosclerotic risk factors. Method: The subjects consisted of 72 patients with myocardial infarction and the data were collected by interviewing the subjects with questionnaires and reviewing their medical records from September, 15, 1999 to July 31, 2000. Data were analyzed using the SAS program. Results: 1) With regard to atherosclerotic risk factors: of the subjects, 91.7% lacked regular exercise, followed by smoking (61.1%). 2) The average knowledge score of the patients was 19.7 and the average compliance score was 53.9. 3) There were no significant differences in the total knowledge scores according to the patients' atherosclerotic risk factors. 4) Non-diabetics were significantly higher in knowledge scores on domain of risk factors than the diabetics. 5) The overweight patients were significantly higher in knowledge score on domain of nature of disease than the normalweight patients. 6) The total compliance scores of the non-smokers were significantly higher than those of the smokers. 7) The total compliance scores of the patients who do regular exercise were significantly higher than those of the patients who forgo regular exercise. 8) The non-smokers were significantly higher in compliance scores on domain of diet than the smokers. 9) The diabetic patients were significantly higher in compliance scores on domain of smoking cessation than the non-diabetics. 10) Patients who do regular exercise were significantly higher in compliance scores on other domains than the patients who forgo regular exercise. Conclusion: According to the above findings, it can be concluded that intensive nursing care and education should be provided to patients who have atherosclerotic risk factors such as smoking, hypertension, diabetes mellitus, lack of exercise, over weight, or hypercholesterolemia to increase disease related knowledge level and to improve compliance with good health behavior.
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