• Journal of Environmental Health Sciences
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• v.40 no.2
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• pp.105-113
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• 2014

Objectives: It is necessary to apply quantitative structure activity relationship (QSAR) for the various chemicals with insufficient toxicity data that are used in the workplace, based on the precautionary principle. This study aims to find application plan of QSAR software tool for predicting health hazards such as genetic toxicity, and carcinogenicity for some chemicals used in the electronics industries. Methods: Toxicity prediction of 21 chemicals such as 5-aminotetrazole, ethyl lactate, digallium trioxide, etc. used in electronics industries was assessed by Toxicity Prediction by Komputer Assisted Technology (TOPKAT). In order to identify the suitability and reliability of carcinogenicity prediction, 25 chemicals such as 4-aminobiphenyl, ethylene oxide, etc. which are classified as Group 1 carcinogens by the International Agency for Research on Cancer (IARC) were selected. Results: Among 21 chemicals, we obtained prediction results for 5 carcinogens, 8 non-carcinogens and 8 unpredictability chemicals. On the other hand, the carcinogenic potential of 5 carcinogens was found to be low by relevant research testing data and Oncologic TM tool. Seven of the 25 carcinogens (IARC Group 1) were wrongly predicted as non-carcinogens (false negative rate: 36.8%). We confirmed that the prediction error could be improved by combining genetic toxicity information such as mutagenicity. Conclusions: Some compounds, including inorganic chemicals and polymers, were still limited for applying toxicity prediction program. Carcinogenicity prediction may be further improved by conducting cross-validation of various toxicity prediction programs, or application of the theoretical molecular descriptors.

• Journal of Korean Academy of Nursing
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• v.20 no.3
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• pp.307-323
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• 1990

This Study was done to design and test an instrument to measure the health status of the elderly including physical, psychologyical and social dimensions. Data collection was done from July 18 to August 17, 1990. Subjects were 412 older persons in Korea. A convenience sample was used but the place of residence was stratified into large, medium and small city and rural areas. Participants located in Sudaemun-Gu, Mapo-Gu, and Kangnam-Gu, Seoul were interviewed by brained nursing students, and those in Chungju, Jonju, Chuncheon, and Jinju by professors of nursing colleges. Rural residents were interviewed by community health practioners working in Kungsang-Buk-Do, Kyngsang- Nam - Bo, Jonla Buk -Do, and Kyung Ki- Do. The tool developed for this study was a structured questionnaire based on previous literature and then tested for reliability and validity. This tool contained 20 physical health status items, 17 mental-emotional health status items and 38 social health status items. Physical health status items clustered in to six factors such as personal hygiene, activity, home management, digestive, sexual, sensory, and climination functions. Mental-emotional health status items clustered into two factors, mental health and emotional health. Social health status items clustered into seven factors, grandparent, parent, spouse, friend, kinships, group member and religious role functions. Data analysis included percentage, average, S.D., t-test and ANOVA. The results of the analysis were as follows : 1. The tool measuring the health status of the elderly and developed for this research had a relatively high reliavility indicated by a cronbach＝0.97793. 2. Average score of the subjects physical health status was 4, 054 in a 5 point likert scale, mentalemotional health status was 3.803, social health status was 2.939 and the total average was 3.521. The social status of the subjects was the lowest and the next was mental-emotional health status ; physical health status was the highest. 3. Educational background, perceived health status, the amount of pocket money were related to physical and mental-emotional health status and family structure was related mental-emotional physical and social health status. Occupation was related to physical and mental-emotional status. Area of residence was related to metal-emotional and social status. Source of living in the expeneses was related to physical and mental-emotional health status marital status to mental-emotional and social health status, and the number living in the home physical health status and religion to social health status. The following conciusions were derived from the above results ; 1. The health status of Korean elderly was relatively sound but social health status was the most vulnerable. The Social activity for Korean elderly is needed to improve social health. 2. Educational background, perceived health status and the amount of pocket money must be considered in the health assessment criteria of the elderly, Family structure, marial status, occupation, residence variables and sources of living expense must also be considered as significant. 3. A health education program based on the educational background of the elderly, and provision of an occupational socioeconomic welfare policy will be useful in order to increase social health status of Korean elderly.

• Korean Journal of Community Nutrition
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• v.20 no.6
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• pp.411-422
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• 2015

Objectives: This study investigated the socioeconomic factors that affect quality of life (QL) in healthy adults and to study the relationship between QL and health-related habits and food intake. Methods: Subjects consisted of 1,154 healthy adults without any known disease, aged 19 to 65 years from the 2013 Korean National Health and Nutrition Examination Survey data. We used SPSS statistical program version 20.0 for data analysis. Results: The average age and QL score of the study population were 36.7 years and 0.99 points, respectively. Males had a significantly higher QL score than the females (p < 0.001), and employed subjects and those employed in permanent positions had significantly higher scores as compared respectively with unemployed subjects and those employed in temporary positions (p < 0.001, p < 0.05). The group that responded "almost every day" to the "frequency of binge drinking" and "frequency of disruption of daily life due to drinking" had significantly lower QL scores as compared to other groups (p < 0.05). Further, the scores were significantly higher for individuals who practiced "intense physical activities" and "walking" (p < 0.001). The groups that responded that they were "very stressed" showed significantly lower QL scores in comparison to the other groups (p < 0.05). There were no significant differences in QL scores according to anthropometric or biochemical indices. When subjects were divided into two groups based on average QL scores, the frequency of intake of "barbecued beef" was significantly higher while the frequency of intake of "fried eggs or rolled omelet," and "soy milk" was significantly lower in the high QL group. Conclusions: Based on these findings, it is evident that in healthy adults without any known underlying illnesses, psychological factors such as economic activity, occupational environment, and stress are considered to have a greater impact on their QL than are nutrient intake, blood biochemical indices, and anthropometric status.