Hyo Won Chong;JunSeok Son;Changho Chae;Changho Jae
Annals of Occupational and Environmental Medicine
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v.35
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pp.40.1-40.10
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2023
Background: Efforts for the prevention and management of cardiovascular diseases (CVDs) in workers have been actively pursued. Obesity is one of the important risk factors related to CVDs. Obesity has various metabolic characteristics, and some individuals can be metabolically healthy. Body composition including skeletal muscle mass is known to have protective effect in obesity. The study aims to investigate the association between skeletal muscle mass and Korea Occupational Safety and Health Agency (KOSHA) CVD risk among obese male manufacturing workers in Korea and to identify appropriate indicators of skeletal muscle mass for predicting risk of CVDs. Methods: The study was conducted on 2,007 obese male workers at a manufacturing industry aged more than 19 years. Skeletal muscle mass, skeletal muscle index (SMI), skeletal muscle mass percent (SMM%) and skeletal muscle to body fat ratio (MFR) were used to evaluate body composition and these indicators were divided into quartiles. The odds ratios (ORs) and 95% confidence intervals (CIs) for the KOSHA CVD risk groups according to quartiles of skeletal muscle mass indicators were estimated using ordinal logistic regression analysis. Results: The OR for the KOSHA CVD risk groups in the highest quartile of SMI was 1.67 (95% CI: 1.42-1.92), while the ORs for the KOSHA CVD risk groups in the highest quartiles of SMM%, SMM/body mass index (BMI), and MFR were 0.47 (95% CI: 0.22-0.72), 0.51 (95% CI: 0.05-0.76), and 0.48 (95% CI: 0.23-0.74), respectively. Conclusions: We found that high SMI increase the likelihood of high risk of CVDs, while high SMM%, SMM/BMI, and MFR lower the likelihood of high risk of CVDs. Accurate evaluation of skeletal muscle mass can help assess the cardiovascular risk in obese male workers.
The purpose of the study was to investigate physical stress symptoms and health risk behaviors of adolescent athletes and high school students as a basis for providing a health promotion program of adolescent athletes. The subjects consisted of 160 male students of a physical education high school(athletes) in Kyonggi and 147 male high school students(non-athletes) in Seoul. Data was obtained from the physical stress symptoms and the health risk behaviors questionnaire. The result were as follows : 1. Physical stress symptoms didn't make significant difference between groups. GI symptom, as the subscale of physical stress symptoms of non-athletes were higher then those of athletes. The highest ranked physical stress symptoms in athletes was cardiopulmonary symptom Ⅱ(upper respiratory symptoms) and in non- athletes was central-neurological symptoms. 2. Health risk behaviors didn't make significant difference between groups. Weight control, as the subscale of health risk behaviors of athletes were higher then those of non-athletes. The highest ranked health risk behaviors in athletes was alcohol and in non-athletes was smoking. 3.There were the low positive correlation between physical stress symptoms and health risk behaviors.
Objectives: This study aims to correlate caries-causing microorganism load, lactic acid estimation, and blood groups to high caries risk in diabetic and non-diabetic individuals and low caries risk in healthy individuals. Materials and Methods: This study includes 30 participants divided into 3 groups: Group A, High-risk caries diabetic individuals; Group B, High-risk caries non-diabetic individuals; and Group C, Low-risk caries individuals. The medical condition, oral hygiene, and caries risk assessment (American Dental Association classification and International Caries Detection and Assessment System scoring) were documented. Each individual's 3 mL of saliva was analyzed for microbial load and lactic acid as follows: Part I: 2 mL for microbial quantity estimation using nutrient agar and blood agar medium, biochemical investigation, and carbohydrate fermentation tests; Part II: 0.5 mL for lactic acid estimation using spectrophotometric analysis. Among the selected individuals, blood group correlation was assessed. The χ2 test, Kruskal-Wallis test, and post hoc analysis were done using Dunn's test (p < 0.05). Results: Group A had the highest microbial load and lactic acid concentration, followed by Groups B and C. The predominant bacteria were Lactobacilli (63.00 ± 15.49) and Streptococcus mutans (76.00 ± 13.90) in saliva. Blood Group B is prevalent in diabetic and non-diabetic high-risk caries patients but statistically insignificant. Conclusions: Diabetic individuals are more susceptible to dental caries due to high microbial loads and increased lactic acid production. These factors also lower the executing tendency of neutrophils, which accelerates microbial accumulation and increases the risk of caries in diabetic individuals.
Purpose: The objective of this study is to investigate the relationship between middle and high school students' internet addiction, social support, self-efficacy and school life adjustment. Data were collected by self-administered questionnaires at middle and high school students located in Seoul and the metropolitan areas. Methods: The response rate is 94.8% (474 cases). The internet addition was measured by K Scale. The various methods of analysis were used, for example, frequency analysis, t-test, analysis of variance, and multiple regression analysis. Results: First, the mean score of internet addiction level is 2.07 in 5 Likert scale. the internet addiction level of the male students are higher than female students (p<.05). Second, as a result of classification of internet addiction groups by K Scale, 11 students (2.3%) are included in high risk group, 27 students (5.7%) are in potential risk group, 436 students (92.0%) are in general group. Third, the level of social support and self-efficacy of middle and high school students are very high. The difference of social support by internet addiction groups was not statistically significant. But, the difference of self-efficacy by internet addiction groups was statistically significant. The level of self-efficacy of the students in general groups are more higher than in high risk group and in potential risk group (p<.01). Fourth, the difference of school adjustment by internet addiction groups was very statistically significant. The level of school life adjustment of the students in general groups are more higher than in high risk group and in potential risk group (p<.01). Fifth, the internet addiction have a negative correlation with school life adjustment. And the social support and self-efficacy have a positive correlation with school life adjustment (p<.01). Finally, in stepwise multiple regression analysis, the internet addiction affects negatively on the school adjustment. And the support of teacher among three types of them affects positively on the school life adjustment. And the social self-efficacy among two types of them affects positively on the school adjustment (p<.01). Conclusion: to adjust desirably the school environment of the middle and high school students, optimal and efficient management of internet addiction was needed in the future and the improvement and promotion of social support and social self-efficacy of the students was also demanded.
Purpose: The purpose of the study was to compare the characteristics between adolescents who have run away from home before and who have contemplated running away from home before, and to find risk factors that predict runaway behavior among them. Methods: The data of 「the survey on adolescents' right to adequate housing and the way to ensure their housing with the focus on social exclusion」 by the National Youth Policy Institute (2020) were analyzed. A total of 494 adolescents were included in the study. Descriptive statistics, x2 test, t-test, and simple and multiple logistic regressions were carried out using SAS 9.2. Results: Gender, depression, anxiety, self-esteem, and school level were significantly different between the two groups. From the multivariate analysis, the adjusted odds ratio for runaway behavior was significantly higher in male students (AOR: 2.14, p<.001), lower in the middle economic class than in the high economic class (AOR: 0.64, p=.051), lower in the 4th quartile group of self-esteem (AOR: 0.52, p=.041), and higher in high school students (AOR: 1.55, p=.050). Conclusion: Considering that male students, students from wealthier families, students with low self-esteem, and high school students are high-risk groups for runaway behavior, among adolescents who have contemplated running away before, interventions targeting these groups are needed.
This study analyzed risk perception and risk reduction behaviors of male and female college students in their twenties who purchased fashion products in internet shopping malls. It also investigated the relationship between risk perception and risk reduction behavior as well as the ways in which groups, categorized by risk perception, differed in their risk reduction behaviors. The results of this study were as follows: first, seven factors of risk perception were identified. These were product quality, shipping, product image, payment, economic feasibility, fear of other people's reactions, and size. Six types of risk reduction behavior were also identified. These were product comparison, word-of-mouth information search, price search, preference for name-brand, service comparison, and referring to experiences. Next, a correlational analysis of the factors of risk perception and those of risk reduction behavior showed several patterns. The highest positive correlation was between economic risk perception and product comparison behavior. In addition, shipping risk perception was positively correlated with service comparison behavior and product quality and product image had a positive correlation with word-of-mouth information search behavior. Third, customers of internet shopping malls could be categorized into three groups: shipping risk perception group, high risk perception group, and product quality risk perception group. The groups were shown by factor analysis to be significantly different to each other. Finally, risk reduction behavior was investigated according to the different groups of risk perception of the internet shopping malls and the results showed significant differences among groups.
The purpose of this study was to classify risk groups according to Caries Risk Assessment (CRA) and to investigate the effect of caries prevention program after 1 year of caries prevention intervention program in 6-year-old infants with high caries risk. The subjects were selected based on responses to CRA questionnaires. At the first visit, oral examination, Cariview, bacteria and saliva flow test were performed. The caries risk group was classified accordingly. The subjects were given fluoride application and oral health education every four months and evaluated the same as the first visit after 1 year. As a result of classifying the risk level according to CRA, more than 80% of the subjects were in the high or extreme high risk. The dft index was increased in all risk groups after the intervention. There was a significant difference between the before and after intervention (p<0.05). The Cariview score showed a slight decrease after the intervention in the moderate and high risk groups. As a result of the evaluation of bacteria test, Streptococcus mutans were decreased to ${\geq}10^5CFU/ml$ saliva after intervention in all groups. Lactobacilli were decreased after intervention in high risk and extreme high risk groups. As a result of saliva flow, there was significant difference between caries risk groups before and after intervention (p<0.05). In conclusion, regular caries management has been shown to influence caries risk factors in high-caries risk children. Also, it is necessary to find out periodical dental risk management system which is suitable for domestic situation through the related studies.
The purpose of this study was to investigate the effect of nutrition counseling on improving metabolic syndrome (MS) risk factors. Sixty-eight subjects were grouped according to their numbers of MS risk factors. Subjects who have three or more risk factors of MS were defined as "High risk", subjects who have two risk factors of MS were defined as "low risk", and subjects who have below two risk factors of MS were defined as "no risk" group. All groups finished nutrition counseling every three weeks for 12 weeks. Anthropometric, dietary assessments (24 hr-recall) and blood samples were measured at 0 and 12 weeks nutrition counseling. After 12 weeks of intervention, anthropometric data (weight, BMl, body fat (%), and waist/hip ratio) were significantly decreased (p < 0.05) in all groups. Daily consumption of calorie was decreased significantly (p < 0.05) in the group of low risk and high risk. Blood level of fasting plasma glucose was significantly decreased (p < 0.001) in all groups after 12 weeks of intervention. Significantly, the fasting plasma glucose level was returned to normal range in the high risk group. The number of people who have three or more risk factors of MS (high risk group) was decreased from 25 to 12. Sum of MS Criteria decreased from 85 to 52 in the group of MS and decreased from 143 to 99 in all groups. These results indicate that nutrition counseling for male workers at the worksite proved to be helpful by reducing the risk factors of MS and thereby reducing the risk of cardiovascular disease. Continuing and systematic nutritional management programs should be developed and implemented for male workers at the worksites.
The purpose of this study was to evaluate dietary intake according to the risk of coronary heart disease (less than 10% = low-risk group; 10~20% = middle-risk group) based on Framingham risk score (FRS), on 122 male adult subjects. The body weight and body mass index were not significantly different between the groups, while height of the low-risk group was shown to be significantly high compared to that of the middle-risk group. The daily energy intake was shown to be significantly high in the low-risk group with 1,910.88 kcal, compared to 1,606.63 kcal of the middle-risk group. As a result of analyzing nutrient intake per 1,000 kcal of energy, while the low-risk group had significantly high intake of animal protein, fat, and animal fat compared to the middle-risk group, the intake of plant protein, carbohydrate, and plant iron was found to be significantly low. The daily food intake was shown to be significantly high in the low-risk group (1,445.16 g), compared to the middle-risk group (1,075.12 g). The low-risk group was found to have significantly high intake of sugars, eggs, and beverages compared to the middle-risk group, while mushrooms intake was significantly high in the middle-risk group. Dietary variety score (DVS) was significantly high in the low-risk group with 26.42, compared to 22.66 of the middle-risk group. Dietary diversity score (DDS) was indicated to be significantly high in the low-risk group with 3.70, compared to 3.27 of the middle-risk group. The low-risk group was indicated to have significantly high score in DDS of dairy products and fruit group, compared to the middle-risk group. In the correlation between diversity index of food intake (DVS and DDS) and FRS, DDS was shown to have significantly negatively correlation with FRS after adjusting for confounding factors. To sum up these results, the adult males with low-risk of coronary heart disease had more various consumptions of fruits and milk, compared to the subjects with the middle-risk. The proportion of consuming major food groups such as cereals, meat group, milk, fruits, and vegetables more than a fixed quantity was indicated to be high. Accordingly, dietary habit for intake of various food seems to be necessary, to prevent coronary heart disease.
Purpose: This study was designed as a epidemiologic study for determining priorities of nursing care in women with high risk groups of coronary heart disease(CHD) using risk factors. Method: Subjects were 1015 women who received health screenings at a hospital in Kyunggi, Korea, over one year period from January to December 2006. Results: The 37.9% of women had multiple risk factors for developing coronary heart disease. The most significant risk factors on CHD were the age older than 70 years (OR=11.45), the age between 60-69 (OR=4.65), the age between 50-59 (OR=3.20), having $HbA_1C$ over 7% (OR=2.38), high risk groups of L/H ratio (OR=1.98), and the waist to stature ratio (WSR) over 0.5 (OR=1.33). Conclusion: The findings suggest that women older than 50 years should be considered as an overt target population for CHD prevention, even in the absence of other risk factors. Also, $HbA_1C$ and WSR can be efficient indicators for CHD screening.
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