• Archives of Obesity and Metabolism
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• v.2 no.2
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• pp.37-44
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• 2023

Weight gain is defined as the increase in body weight, increasing the prevalence of obesity, and results in metabolic diseases. Weight gain was reportedly caused by the interaction between the obesogenic environmental factors and individual metabolic factors. Sociodemographic and environmental factors (demographic factors, lifestyle/behavioral factors, food/nutritional factors, socioeconomic factors), drug-related secondary causes (some of the corticosteroids, antihyperglycemics, antihypertensives, antidepressants, etc.), and metabolic factors (aging and hormonal changes, menopause and decreased sex hormones, decreased adipocyte degradation, decreased fibroblast growth factor 21, central sympathetic nervous system hyperactivity, decreased sympathetic-adrenomedullary system activity) are significant factors related to weight gain. It is crucial to prevent weight gain and maintain an ideal weight, but studies on the risk factors of weight gain are insufficient. Therefore, this study evaluated the factors associated with weight gain to find strategies for preventing unnecessary weight gain.

• Journal of the East Asian Society of Dietary Life
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• v.17 no.5
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• pp.634-643
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• 2007

This study was performed to develop a tailored multi-disciplinary obesity management program, as well as an obesity assessment sheet identified the general characteristics and psychological and environmental factors related to weight loss success for obese premenopausal women participating in obesity management programs performed at weight reduction health centers. The results are as follows. The primary general characteristics related to successful weight reduction in the obesity management programs were education level, occupational status, reason for obesity onset, aids used in weight control, basis of frequency, and reason for weight reduction. The initial psychological factors related to successful weight reduction were less stress and disordered eating. The initial environmental factors included an expression of ones opinion and the eating environment. Animal protein and animal fat consumption were significantly less in the unsuccessful group than in those who were unsuccessful at weight loss. The consumption of crude fiber was significantly greater in the successful group than in the unsuccessful group. Psychological factors such as stress, depression, and disordered eating, and the environmental factor of eating environment were significantly better in the successful group than in the unsuccessful group. In conclusion, we have found evidence to suggest what is required in determining the types of programs most suitable for obese women prior to starting an obesity management program.

• Journal of Preventive Medicine and Public Health
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• v.37 no.1
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• pp.11-16
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• 2004

Objective : In this study, we aimed to produce basic data on the prenatal environmental risk factors of low birth weight infants at a community level. Methods : In 2000, we conducted the direct interview using questionnaire about prenatal environmental risk factors with low birth weight infant-delivered mothers and normal weight infant-delivered mothers in Asan-city, Chungcheongnamdo Province, Korea. The questionsgiven to the mothers included past pregnancy history, menstrual status, disease history before and during the pregnancy, family history, environmental risk factors and exposure history. The responses of the twogroups were compared to calculate the prenatal environmental risk factors of each group. Results : Mothers' smoking was significantly associated with low birth weight infants (adjusted odds ratio(AOR) 3.27; 95% confidence interval (CI) 1.25-8.56) and preterm baby (AOR 4.20; 95% CI, 1.21-14.61). Other environmental risk factors were not significantly different between the two groups. Conclusion: Smoking of mothers can be a risk factor for the delivery of low birth weight infants. These results could provide the basic data on prenatal environmental risk factors of mothers of low birth weight infants and suggest research topics for further community-based evaluation.

• Asian-Australasian Journal of Animal Sciences
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• v.5 no.3
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• pp.469-473
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• 1992

Data on the birth weight, 8 week body weight and ewe body weight of an unselected random mating Romney Marsh sheep flock are analyzed to study the influence of various environmental factors. The average birth weight of lambs was 5.06 kg. Sex of lamb, birth type and dam age contributed significant variation in lamb birth weight (p < 0.05). Males were significantly heavier than females (p < 0.05) and singles were significantly heavier than multiples (p < 0.05) at birth. Birth weight of lamb increased with the progress of dams' age. The overall average 8 week body weight of lambs was 20.84 kg. Effect of birth weight, sex, birth type and dam age was significant on 8 week body weight of lamb. Eight week body weight increased with the increase of lamb birth weight (b=1.285 kg). Ewes' body weight taken before tupping was affected by ewes' age, year of performance and their weight at birth. It was concluded that performance data on lamb birth weight, 8 week body weight and ewe body weight should be corrected for the above relevantly significant environmental factors in any genetic calculation in the United Kingdom Romney March sheep.

• Journal of Korean Society of Rural Planning
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• v.27 no.2
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• pp.43-48
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• 2021

In this study, an analysis was performed using the growth data and environment data of Korean melon farmers to confirm the influence of environmental factors variables on fruit weight of Korean melon. The analysis results can be summarized as follows. First, it was confirmed that humidity and temperature were recognized as the most important factors among the core factors of korean melon farm production management. Second, The correlation analysis of fruit weight and environmental factors showed a statistically significant soil temperature, internal humidity. Third, The Pooled OLS model estimation results showed that the estimation coefficient for soil temperature is (-), and the estimation coefficient for soil temperature square is (+), indicating that optimal control temperature exists.

• Nutrition Research and Practice
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• v.7 no.5
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• pp.400-408
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• 2013

Obesity may be the consequence of various environmental or genetic factors, which may be highly correlated with each other. We aimed to examine whether grandmaternal and maternal obesity and environmental risk factors are related to obesity in daughters. Daughters (n = 182) recruited from female students, their mothers (n = 147) and their grandmothers (n = 67) were included in this study. Multivariable logistic regression was used to analyze the association between the daughter's obesity and maternal, grandmaternal, and environmental factors. Maternal heights of 161-175cm (OD: 8.48, 95% CI: 3.61-19.93) and 156-160 cm (2.37, 1.14-4.91) showed positive associations with a higher height of daughter, compared to those of 149-155 cm. Mothers receiving a university or a higher education had a significant OR (3.82, 1.27-11.50) for a higher height of daughter compared to those having a low education (elementary school). Mother having the heaviest weight at current time (59-80 kg, 3.78, 1.73-8.28) and the heaviest weight at 20 years of age (51-65 kg, 3.17, 1.53-6.55) had significant associations with a higher height of daughters, compared to those having the lightest weight at the same times. There was no association between the height, weight, and BMI of daughters and the characteristics and education of her grandmothers. In conclusion, although genetic factors appear to influence the daughter's height more than environmental factors, the daughter's weight appears to be more strongly associated with individual factors than the genetic factors.

• Journal of Environmental Science International
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• v.12 no.9
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• pp.897-903
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• 2003

This study focuses on importance level analysis of environmentally-friendly planning factors using Analytic Hierarchy Process(AMP). This study verify different planning principle makes comparison matrix by a relative comparison value, verified consistency after yield weight to analyze more objective importance for apartment complex estate environmentally-friendly planning factor. In order to decide importance of apartment complex estate environmentally-friendly planning factors multiplying weight of verified planning principle with weight of planning factors. The results are as follows; First, importance of preservation of green tract of lands, Preparation of Biotop, Tree planting of sites, Propriety of development density high except Circulation and practical use of water. Next, valued planning factors constituent appeared to Energy efficient building plan, Rubbish recycling, thermal utilization of solar energy, Artificial tree planting of buildings etc. importantly. Finally, plan constituent that importance is underrated most appeared by Practical use of building materials and equipment, Centralization of energy and resources, Preservation of corridor etc.

• Journal of the Ergonomics Society of Korea
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• v.32 no.3
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• pp.259-266
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• 2013

Objective: This study aims to evaluate the workloads of industrial and automobile storage battery industries and their association to biological exposure indices. Background: Occupational lead exposure at battery manufacturing workplace is the most serious problem in safety and health management. Method: We surveyed 145 workers in 3 storage battery industries. Environmental factors(lead in air, temperature, humidity and vibration)), biological exposure indices(lead in blood and zinc protoporphyrin in blood) and individual workload factors(process type, work time, task type, weight handling and restrictive clothing) were measured in each unit workplace. Results/Conclusion: Air lead concentration is statistically significant in associations with workload factors(process type, work time, task type, and restrictive clothing) and environmental factors (humidity and vibration), whereas zinc protoporphyrin in blood are significantly associated with work time and weight handling. And lead in blood is significantly associated with work time, weight handling and temperature. Application: The results of this study are expected to be a fundamental data to job design.

• Proceedings of the Korean Environmental Health Society Conference
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• 2003.06a
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• pp.192-195
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• 2003

To identify the difference between Korean-Chinese and Korean children's variation of pulmonary function with personal factors (suck as age, height, and weight), we performed pulmonary function test (PFT) and measured personal factors of 200 Korean-Chinese children participants from two elementary schools of Beijing and Melons city in China. Regression analysis was utilized to determine which personal factors were significantly correlated with PFT measure (FVC and FEV$_1$). We compared the regression model from this study with those of other studies of Korean children. Similar to other studies, we found that the most important variable, influencing PFT measure, was height, whereas addition of either age or weight in the regression virtually did not increase the accuracy. As the result of comparison of the regression model from this study with those of other studies of Korean children, variation in FVC or FEV$_1$ with height were similar.

• Journal of Environmental Impact Assessment
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• v.21 no.3
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• pp.381-389
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• 2012

This study was conducted to analyze the weight factors for siting the electric facilities using Analytic Heirarchy Process technique participating the stakeholders. Siting the electric facilities has been a dispute of long standing because of landscape damage, geological deformation and various environmental problems such as electromagnetic effect to human health. For analyzing the weight factors by AHP technique, the questionnaire process was applied to the fifteen committee members including representatives of resident, academic experts, members of local assembly, officers of local government, journalists, etc. in Gangwondo, Korea. Weight factors for siting the electric facilities by AHP committee members resulted in residential areas 35.06%, cultural assets 16.68%, landscape conservation 13.11%, large-scale ecological corridor 10.17%, connectability of electric transmission line 8.32% respectively. The distance from residential areas was the most important factor preferred by committee members for siting the electric facilities.