• Journal of Preventive Medicine and Public Health
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• v.47 no.2
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• pp.113-123
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• 2014

Objectives: Several previous studies have found that healthy behaviors substantially reduce non-communicable disease incidence and mortality. The present study was performed to estimate the prevalence of four modifiable healthy behaviors and a healthy lifestyle among Korean adults according to socio-demographic and regional factors. Methods: We analyzed data from 199 400 Korean adults aged 19 years and older who participated in the 2010 Korean Community Health Survey. We defined a healthy lifestyle as a combination of four modifiable healthy behaviors: non-smoking, moderate alcohol consumption, regular walking, and a healthy weight. We calculated the prevalence rates and odds ratios of each healthy behavior and healthy lifestyle according to socio-demographic and regional characteristics. Results: The prevalence rates were as follows: non-smoking, 75.0% (53.7% in men, 96.6% in women); moderate alcohol consumption, 88.2% (79.7% in men, 96.9% in women); regular walking, 45.0% (46.2% in men, 43.8% in women); healthy weight, 77.4% (71.3% in men, 73.6% in women); and a healthy lifestyle, 25.5% (16.4% in men, 34.6% in women). The characteristics associated with a low prevalence of healthy lifestyle were male gender, younger age (19 to 44 years of age), low educational attainment, married, living in a rural area, living in the Chungcheong, Youngnam, or Gwangwon-Jeju region, and poorer self-rated health. Conclusions: Further research should be implemented to explore the explainable factors of disparities for socio-demographic and regional characteristics to engage in the healthy lifestyle among adults.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.12
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• pp.6497-6500
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• 2012

Cervical cancer is the second most common cancer in females in the World with around 500,000 new cases occurring annually, but the first in the developing countries with a high mortality if not diagnosed early. Papanicolau (Pap) smear is a cheap, easy-to-apply and widely accepted test which has been long used to detect cervical cancer at very early stages. However, despite being available for nearly 60 years, the test can hardly be considered to have become successfully applied in many communities. We aimed in this study to present the results of a screening survey for cervical cancer which targeted a women population aged between 35 and 40 living in a semi-rural area in the province of Hatay, located in the eastern Mediterranean region of Turkey, with specific aims of increasing early diagnosis, education and raising population awareness about cancers. This community-based descriptive study covered 512 women between 35 and 40 years of age living at Armutlu with a mean age of $37.6{\pm}1.7$. Gynecologic examinations revealed cervical erosion in 8 (1.6%), vaginitis in 193 (37.7%) and normal findings in 311 (60.7%); pathological evaluation reports of the smears were negative in 290 (56.6%), inflammation in 218 (42.6%) and ASC-US in 4 (0.8%), according to the 2001 Bethesda classification. It can be concluded that Pap smear test - proven to be a very valuable test at the clinical level- should also be widely used at the community level to detect cervical cancer at very early stages to reduce both the mortality and morbidity among healthy people. The need for continuous community-based cervical cancer screening programs is strongly suggested.

• Research in Plant Disease
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• v.19 no.2
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• pp.77-83
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• 2013

Bean yellow mosaic virus (BYMV; genus Potyvirus, family Potyviridae) causes severe losses to various legume species and a number of non-legume species, particularly freesia plants. In a survey of virus diseases in Gyeonggi province, Korea, BYMV isolates were identified from many cultivated freesia species. Here, we determined the complete nucleotide sequences of a BYMV freesia isolate (BYMV-Fr; accession number FJ492961). BYMV-Fr genome consists of 9,545 nucleotides (nt) excluding the poly (A) tail and encodes 3,057 amino acid (aa), with an AUG start and UAG stop codon, containing one open reading frame typical of a potyvirus polyprotein. The polyprotein of BYMV-Fr was divided to ten proteins and the cleavage sites of each protein were determined. The coat protein (CP) and polyprotein of BYMV-Fr were compared at the aa level with those of the previously reported 4 BYMV isolates. BYMV-Fr shared 90.1 to 97.1 and 91.0 to 92.5% at the CP and polyprotein homology. Interestingly, BYMV-Fr showed identities of a lower level at the nt level of 5' noncoding region (61.4 to 67.6%) and at the aa level of P1 (71.4 to 72.8%), comparing with four BYMV isolates. Based on the aa sequence diversity of CP and polyprotein, phylogenetic analysis with the four BYMV isolates showed two distinct groups and BYMV-Fr and most BYMV isolates were most closely related to the clover yellow vein virus among 52 potyviruses. To our knowledge, this is the first report of the complete genome sequence of BYMV freesia strain.

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2003.11a
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• pp.79-84
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• 2003

The main objective of this study was to investigate the chemical characteristics of post-harvest biomass burning aerosols from field burning of barley straw in late spring and rice straw in late fall in rural area in Korea. 12-hr integrated intensive sampling of $PM_{10}$ and $PM_{2.5}$ biomass burning aerosols had been conducted continuously at Gwangju, Korea 4-15 June 2001 and 8 October-14 November 2002. The fine and coarse particles of biomass burning aerosols were collected for mass, ionic, elemental, and carbonaceous species analysis. Average fine and coarse mass concentrations of biomass burning aerosols were measured to be 129.6, 24.2 ${{\mu}gm}^{-3}$ in June 2001 and 47.1, 33.2 ${{\mu}gm}^{-3}$ in October to November 2002, respectively. Exceptionally high level of $PM_{2.5}$ concentration up to 157.8 ${{\mu}gm}^{-3}$ well above 24-hour standard was observed during the biomass burning event days under stagnant atmosphere condition. During biomass burning periods dominant ionic species were $Cl^{-}$, ${NO_3}^{-}$, ${SO_4}^{2-}$, and ${NH_4}^{+}$ in fine and coarse mode. In the fine mode $Cl^{-}$ and ${KCl}^{+}$ were unusually rich due to the high content of the semiarid vegetation. High OC values and OC/EC ratios were also measured during the biomass burning periods. Increased amount of fine aerosols with high enrichment, which were originated from biomass burning of post-harvest agricultural waste, resulted in extremely severe particulate air pollution and visibility degradation in the region. Particulate matters from open field burning of agricultural wastes cause great adverse impact on local air quality and regional climate.

• The Korean Journal of Ecology
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• v.23 no.5
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• pp.359-368
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• 2000

Landscape change is the modification and replacement of landscape elements in accordance with human management and natural disturbance on land mosaics. During landscape change, changes in patterns such as heterogeneity, diversity and shape, and juxtaposition of spatial elements are also accompanied. For the sustainable landscape system, therefore, spatial characteristics of the landscape should be considered in implementation of landscape conservation and restoration planning. Short-term changes of land-use and landscape pattern during the 10 years of 1980s and 1990s were investigated in the agriculture-forestry dominated landscape system through the statistics and the analysis of landscape-vegetation map. Study area is Yangdong-myon, Yangpyung-gun (37°27′30"N, 127°46′50"E), Kyonggi-do, in central Korea. Landscape change of this region was significantly related to the recent industrialization according to socio-economic development. Analyses of landscape pattern show that the area of secondary forest sustained by human activity decreased and it was replaced with large exotic plantations during this period. Area of paddy field was also extended. Fractal dimension of the total landscape increased, but that of paddy field area decreased due to rearrangement for mechanized farming. Moreover, the area of landscape management regimes such as plantation and cultivation increased in land mosaics during this period.

• Korean Journal of Health Education and Promotion
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• v.32 no.3
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• pp.11-22
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• 2015

Objectives: This study was to examine the influences of community characteristics on the mortality rates. Community characteristics included socioeconomic environmental characteristics, health care resources, and health lifestyle practice. Methods: This study used secondary data whose units of analyses were 249 administrative districts. Mortality rates were estimated with hierarchical regression models entered in the order of (1) socioeconomic environmental characteristics, (2) health care resources, and (3) health lifestyle practice. Results: About 70% of mortality rate was explained by socioeconomic environmental characteristics, health care resources, and health lifestyle practice. In particular, socioeconomic environmental characteristics showed the strongest impact on mortality rate. Among socioeconomic characteristics, community with lower rate of households headed with college or more, lower number of inhabitants per on-premise license, higher rate of population in poverty, and rural region showed higher mortality rate. Among health care resources, community with higher number of inhabitants per doctor and lower number of inhabitants per hospital bed showed higher mortality rate. Among health lifestyle practice, community with higher current smoking rate and lower moderate physical activity practice rate showed higher mortality rate. Conclusions: The results suggest that policy makers should take into account socioeconomic environmental characteristics of community in developing community-based health promotion rather than focusing on lifestyle changes of residents.

• Asian-Australasian Journal of Animal Sciences
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• v.26 no.5
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• pp.603-608
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• 2013

Hanwoo have been subjected over the last seventy years to intensive artificial selection with the aim of improving meat production traits such as marbling and carcass weight. In this study, we performed a signature of selection analysis to identify recent positive selected regions driven by a long-term artificial selection process called a breeding program using whole genome SNP data. In order to investigate homozygous regions across the genome, we estimated iES (integrated Extended Haplotype Homozygosity SNP) for the each SNPs. As a result, we identified two highly homozygous regions that seem to be strong and/or recent positive selection. Five genes (DPH5, OLFM3, S1PR1, LRRN1 and CRBN) were included in this region. To go further in the interpretation of the observed signatures of selection, we subsequently concentrated on the annotation of differentiated genes defined according to the iES value of SNPs localized close or within them. We also described the detection of the adaptive evolution at the molecular level for the genes of interest. As a result, this analysis also led to the identification of OLFM3 as having a strong signal of selection in bovine lineage. The results of this study indicate that artificial selection which might have targeted most of these genes was mainly oriented towards improvement of meat production.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.1
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• pp.361-367
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• 2016

We have reported a high prevalence of breast cancer in light-polluted areas in Korea. However, it is necessary to analyze the spatial effects of light polluted areas on breast cancer because light pollution levels are correlated with region proximity to central urbanized areas in studied cities. In this study, we applied a spatial regression method (an intrinsic conditional autoregressive [iCAR] model) to analyze the relationship between the incidence of breast cancer and artificial light at night (ALAN) levels in 25 regions including central city, urbanized, and rural areas. By Poisson regression analysis, there was a significant correlation between ALAN, alcohol consumption rates, and the incidence of breast cancer. We also found significant spatial effects between ALAN and the incidence of breast cancer, with an increase in the deviance information criterion (DIC) from 374.3 to 348.6 and an increase in $R^2$ from 0.574 to 0.667. Therefore, spatial analysis (an iCAR model) is more appropriate for assessing ALAN effects on breast cancer. To our knowledge, this study is the first to show spatial effects of light pollution on breast cancer, despite the limitations of an ecological study. We suggest that a decrease in ALAN could reduce breast cancer more than expected because of spatial effects.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.8
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• pp.4811-4814
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• 2013

Background: To assess the significance of social factors as risk factors for carcinoma cervix and to determine the significance of blood group to prevalence of carcinoma cervix in a semi-urban population of Kolar, Karnataka, India. Materials and Methods: One hundred cases of carcinoma cervix were included in the study, along with 200 females of the same ages considered as controls. Case details were collected from the hospital record section regarding social factors and blood groups and the data were analyzed by descriptive statistical methods. Results: Blood group B showed the highest number of cases (55 cases) followed by blood group O (29 cases) in carcinoma cervix which was statistically significant (p<0.001). Age of marriage between 11 to 20 years showed highest number of carcinoma cervix cases (77 cases) and this also was statistically significant (p<0.001). Patients with rural background were 75 (p=0.112, odds ratio: 1.54), parity of more than or equal to two constituted 96 cases (p=0.006, odds ratio: 4.07) and Hindu patients were 95 in number (p=0.220, odds ratio: 1.89). Conclusions: Blood group B and age of marriage between 11 and 20 years were significantly associated with carcinoma cervix in our population. Region of residence, parity and religion presented with a altered risk for carcinoma cervix.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.6
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• pp.123-138
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• 2017

This study aims to identify the characteristic variables of businesses that would impact the choice of their type in the 6th industry and analyze how they work. To this end, this study analyzed data of 752 businesses certified as belonging to the 6th industry in 2015 through the classification and regression tree (CART) algorithm in decision tree analysis. The results of analysis showed that the type of agricultural product processing affected shaping the type of the 6th industry at the early stage of growth while the type of agricultural product processing, the type of service, region and sales volumes at the stage of growth and service strategy and the type of agricultural product processing at the stage of maturity. These findings empirically identified key business factors that could support businesses in the 6th industry at each stage of growth and presented a direction forward for support of the 6th industry.