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- 저자 : Lisa Y. Cho (검색결과 11 건)
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Cho, Lisa Y.,Yang, Jae Jeong,Ko, Kwang‐,Pil,Park, Boyoung,Shin, Aesun,Lim, Min Kyung,Oh, Jin‐,Kyoung,Park, Sohee,Kim, Yoon Jun,Shin, Hai‐,Rim,Yoo, Keun‐,Young,Park, Sue K. Wiley Subscription Services, Inc., A Wiley Company 2011 International journal of cancer: Journal internati Vol.128 No.1
<P><B>Abstract</B></P><P>A subadditive effect of hepatitis B virus (HBV) and hepatitis C virus (HCV) coinfection is possible because superinfection of one virus tends to inhibit infection of the other virus. However, studies have reported inconsistent findings, and two meta‐analyses of studies from various countries (1998) and China (2005) reported a supraadditive effect for hepatocellular carcinoma (HCC) risk. Thus, we reevaluate HBV/HCV monoinfection and coinfection. Of 411 reports, we included 59 studies that assessed the association between HBV/HCV monoinfection and coinfection for HCC risk. HCC risk because of high/detectable HBV DNA and HBeAg infection was higher than HBsAg infection, whereas anti‐HCV <I>vs</I> anti‐HCV/HCV RNA was not different. Geographically, HCC risk was significantly higher in nonendemic than in HBV or HCV endemic areas. Subadditive effect for HCC risk was presented in recently published studies, cohort studies and studies conducted in HBV/HCV nonendemic areas; an additive effect was presented in studies conducted in HBV endemic areas; a supraadditive effect was presented in previously published studies, case‐control studies and studies conducted in HCV endemic areas. Our results suggest HBV/HCV coinfection for HCC risk is not significantly greater than HBV/HCV monoinfection, and HCC risk due to HBV or HCV is higher in nonendemic than endemic areas. The <I>p‐heterogeneity</I> was significant for most analyses, except HBV(+)/HCV(+) and HBV biomarker analyses. Prevention strategies targeted toward HBV or HCV monoinfected patients are needed. In addition, tailored prevention to reduce infectivity such as HBV markers (HBeAg, HBV DNA) is needed.</P>
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박보영,이연경,Lisa Y. Cho,고운영,양재정,마승현,최보율,이무식,이진석,최은화,이환종,박수경 대한의학회 2011 Journal of Korean medical science Vol.26 No.6
This study compared interview and telephone surveys to select the better method for regularly estimating nationwide vaccination coverage rates in Korea. Interview surveys using multi-stage cluster sampling and telephone surveys using stratified random sampling were conducted. Nationwide coverage rates were estimated in subjects with vaccination cards in the interview survey. The interview survey relative to the telephone survey showed a higher response rate, lower missing rate, higher validity and a less difference in vaccination coverage rates between card owners and non-owners. Primary vaccination coverage rate was greater than 90% except for the fourth dose of DTaP (diphtheria/tetanus/pertussis), the third dose of polio, and the third dose of Japanese B encephalitis (JBE). The DTaP4: Polio3: MMR1 fully vaccination rate was 62.0% and BCG1:HepB3:DTaP4:Polio3:MMR1 was 59.5%. For age-appropriate vaccination, the coverage rate was 50%-80%. We concluded that the interview survey was better than the telephone survey. These results can be applied to countries with incomplete registry and decreasing rates of landline telephone coverage due to increased cell phone usage and countries. Among mandatory vaccines, efforts to increase vaccination rate for the fourth dose of DTaP, the third dose of polio, JBE and regular vaccinations at recommended periods should be conducted in Korea.
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Yang, Jae Jeong,Cho, Lisa Y.,Lim, Yun Jeong,Ko, Kwang-Pil,Lee, Kun-Sei,Kim, Hyeongsu,Yim, Sung Vin,Chang, Soung Hoon,Park, Sue K. Mary Ann Liebert 2010 Journal of women's health Vol.19 No.2
<P>The aim of this study was to investigate the role of the estrogen receptor 1 (ESR1) genetic polymorphisms for early menopause that was classified as premature ovarian failure (POF) and early menopause (EM) and to examine whether the associations of ESR1 genetic variants are different for POF and EM.</P>
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박보영,양재정,양지현,김지민,Lisa Y.Cho,강대희,신철,홍영습,최보율,김성수,박만석,Sue K. Park 대한예방의학회 2010 예방의학회지 Vol.43 No.6
Objectives: The Korean Genome and Epidemiology Study (KoGES), a multicenter-based multi-cohort study, has collected information on body composition using two different bioelectrical impedence analysis (BIA) machines. The aim of the study was to evaluate the possibility of whether the test values measured from different BIA machines can be integrated through statistical adjustment algorithm under excellent inter-rater reliability. Methods: We selected two centers to measure inter-rater reliability of the two BIA machines. We set up the two machines side by side and measured subjects’ body compositions between October and December 2007. Duplicated test values of 848 subjects were collected. Pearson and intra-class correlation coefficients for inter-rater reliability were estimated using results from the two machines. To detect the feasibility for data integration, we constructed statistical compensation models using linear regression models with residual analysis and R-square values. Results: All correlation coefficients indicated excellent reliability except mineral mass. However, models using only duplicated body composition values for data integration were not feasible due to relatively low R2 values of 0.8 for mineral mass and target weight. To integrate body composition data, models adjusted for four empirical variables that were age,sex, weight and height were most ideal (all R2>0.9). Conclusions: The test values measured with the two BIA machines in the KoGES have excellent reliability for the nine body composition values. Based on reliability, values can be integrated through algorithmic statistical adjustment using regression equations that includes age, sex, weight, and height
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Reliability of Quadruplicated Serological Parameters in the Korean Genome and Epidemiology Study
양재정,양지현,Jimin Kim,Lisa Y. Cho,박보영,Seung-Hyun Ma,송상훈,Won-Ki Min,Sung Soo Kim,Man Suck Park,박수경 한국역학회 2011 Epidemiology and Health Vol.33 No.-
OBJECTIVES: The aim of this study was to evaluate whether clinical test values from different laboratories in the Korean Genome and Epidemiology Study (KoGES) can be integrated through a statistical adjustment algorithm with appropriate intra- and inter-laboratory reliability. METHODS: External quality control data were obtained from the Korean Society for Laboratory Medicine and quadruplicated standardized serological samples (N=3,200) were manufactured in order to check the intra- and inter-laboratory reliability for aspartic acid transaminase (AST), alanine transaminase (ALT), gamma-glutamyl transpeptidase (γ-GTP), blood urea nitrogen (BUN), creatinine, uric acid (UA), fasting blood sugar (FBS), cholesterol, and triglyceride (TG). As an index of inter- and intra-rater reliability, Pearson’s correlation coefficient, intraclass correlation coefficients and kappa statistics were estimated. In addition, to detect the potential for data integration, we constructed statistical compensation models using linear regression analysis with residual analysis, and presented the R-square values. RESULTS: All correlation coefficient values indicated good intra- and inter-laboratory reliability, which ranged from 0.842 to 1.000. Kappa coefficients were greater than 0.75 (0.75-1.00). All of the regression models based on the trial results had strong R-square values and zero sums of residuals. These results were consistent in the regression models using external quality control data. CONCLUSION: The two laboratories in the KoGES have good intra- and inter-laboratory reliability for ten chemical test values, and data can be integrated through algorithmic statistical adjustment using regression equations.
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Ko, Kwang-Pil,Park, Sue K.,Cho, Lisa Y.,Gwack, Jin,Yang, Jae Jeong,Shin, Aesun,Kim, Cheong Sik,Kim, Yeonju,Kang, Daehee,Chang, Soung-Hoon,Shin, Hai-Rim,Yoo, Keun-Young Oxford University Press 2009 The Journal of nutrition Vol.139 No.5
<P>In this study, our aim was to investigate the association of inflammation-related genetic polymorphisms and gastric cancer risk and to examine whether the combined effect of soybean product intake modified cancer risk. Eighty-four incident gastric cancer cases and 336 matched controls were selected from the Korean Multi-Center Cancer Cohort. We selected 14 single nucleotide polymorphisms (SNP) from 5 genes [interleukin (IL)-1beta, IL-2, IL-4, IL-8, and IL-10] and used unconditional logistic regression model to calculate the odds ratios (OR) and 95% CI adjusting for H. pylori seropositivity, smoking, age, sex, enrollment year, and residential area. The risk for gastric cancer in relation to genetic polymorphisms and haplotypes were assessed according to soybean product intake levels. Although no single SNP effect was found, the combined effect between IL-10 gene variants of -592 GG/GA, -819 TC/CC, or -1082 AG/GG and low intake of soybean products had an increased risk for gastric cancer compared with the group with no risk gene variants and a high intake of soybean products (OR [95% CI] = 2.82 [1.04-7.62], 2.75 [1.02-7.44], and 4.34 [1.51-12.5], respectively). Among the low-soybean product intake group, IL-10 CCG haplotype had an increased risk of gastric cancer (OR = 3.38 [1.40-8.13]) relative to the ATA haplotype. Our results suggest that the association between IL-10 genetic polymorphisms and gastric cancer risk was modified by soybean product intake.</P>
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Ko, Kwang-Pil,Park, Sue K,Park, Boyoung,Yang, Jae Jeong,Cho, Lisa Y,Kang, Chungwon,Kim, Cheong Sik,Gwack, Jin,Shin, Aesun,Kim, Yeonju,Kim, Jeongseon,Yang, Han-Kwang,Kang, Daehee,Chang, Soung-Hoon,Shin American Association for Cancer Research 2010 Cancer Epidemiology, Biomarkers & Prevention Vol.19 No.5
<P>BACKGROUND: The role of soybean products in gastric cancer risk is not clear in epidemiologic studies due to measurement error from dietary intake questionnaires and due to different degrees of bias according to study design. To examine the association between soybean products and gastric cancer risk, we measured phytoestrogen biological markers in a nested case-control study. METHODS: The study population was composed of 131 cases and 393 matched controls within the Korean Multicenter Cancer Cohort. The concentrations of the four biomarkers in the plasma samples were measured using time-resolved fluoroimmunoassay. Conditional and unconditional logistic regression models were used to compute the odds ratio (OR) and 95% confidence intervals (CI). RESULTS: Median plasma concentrations of genistein (229 nmol/L for controls, 181.8 nmol/L for cases; P=0.07) and daidzein (131.2 nmol/L for controls, 80.5 nmol/L for cases; P=0.04) in cases were lower than in controls, whereas equol concentrations were similar. Compared with the reference group, gastric cancer risk decreased in the highest groups for genistein (OR, 0.54; 95% CI, 0.31-0.93) and daidzein (OR, 0.21; 95% CI, 0.08-0.58). Higher equol concentrations were associated with a decreased risk for gastric cancer (OR, 0.50; 95% CI, 0.27-0.90). The combination of the highest concentrations for each isoflavone category was associated with a 0.09-fold decreased risk for gastric cancer compared with the combination of the lowest concentrations for each category. There was no association between plasma lignan concentrations and gastric cancer. CONCLUSIONS: High serum concentrations of isoflavones were associated with a decreased risk for gastric cancer. IMPACT: These results suggest a beneficial effect of high soybean product intake for gastric cancer risk.</P>
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Park, Bo-Young,Yang, Jae-Jeong,Yang, Ji-Hyun,Kim, Ji-Min,Cho, Lisa-Y.,Kang, Dae-Hee,Shin, Chol,Hong, Young-Seoub,Choi, Bo-Youl,Kim, Sung-Soo,Park, Man-Suck,Park, Sue-K. The Korean Society for Preventive Medicine 2010 Journal of Preventive Medicine and Public Health Vol.43 No.6
Objectives: The Korean Genome and Epidemiology Study (KoGES), a multicenter-based multi-cohort study, has collected information on body composition using two different bioelectrical impedence analysis (BIA) machines. The aim of the study was to evaluate the possibility of whether the test values measured from different BIA machines can be integrated through statistical adjustment algorithm under excellent inter-rater reliability. Methods: We selected two centers to measure inter-rater reliability of the two BIA machines. We set up the two machines side by side and measured subjects' body compositions between October and December 2007. Duplicated test values of 848 subjects were collected. Pearson and intra-class correlation coefficients for inter-rater reliability were estimated using results from the two machines. To detect the feasibility for data integration, we constructed statistical compensation models using linear regression models with residual analysis and R-square values. Results: All correlation coefficients indicated excellent reliability except mineral mass. However, models using only duplicated body composition values for data integration were not feasible due to relatively low $R^2$ values of 0.8 for mineral mass and target weight. To integrate body composition data, models adjusted for four empirical variables that were age, sex, weight and height were most ideal (all $R^2$ > 0.9). Conclusions: The test values measured with the two BIA machines in the KoGES have excellent reliability for the nine body composition values. Based on reliability, values can be integrated through algorithmic statistical adjustment using regression equations that includes age, sex, weight, and height.
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Yang, Jae Jeong,Yang, Ji Hyun,Kim, Jungkon,Ma, Seung Hyun,Cho, Lisa Y.,Ko, Kwang‐,Pil,Shin, Aesun,Choi, Bo Youl,Kim, Hyun Ja,Han, Dong Soo,Eun, Chang Soo,Song, Kyu Sang,Kim, Yong Sung,Chang, Sou Wiley Subscription Services, Inc., A Wiley Company 2013 International journal of cancer: Journal internati Vol.132 No.9
<P><B>Abstract</B></P><P>This study was conducted to evaluate the relevance of the soluble form of c‐Met protein, a truncated form of the c‐Met membrane receptor involved in the CagA pathway, as a potential biomarker for gastric cancer. Among 290 gastric cancer case‐control sets selected from the Korean Multicenter Cancer Cohort, the plasma concentrations of soluble c‐Met protein were measured with enzyme‐linked immunosorbent assays. Using analysis of variance and covariance models with age, sex, smoking, <I>Helicobacter pylori</I> infection, and CagA seropositivity, the mean concentrations of soluble c‐Met protein between cases and controls were compared. To evaluate the association between gastric cancer and a c‐Met protein level, odds ratios and 95% confidence intervals were estimated using conditional logistic regression models. Interactions between CagA‐related genes and the soluble c‐Met protein concentration were also investigated. The overall median plasma concentration of soluble c‐Met among cases was significantly lower than those of controls (1.390 <I>vs</I>. 1.610 ng/mL, <I>p</I> < 0.0001). Closer to the onset of gastric cancer, the soluble c‐Met protein level decreased linearly in a time‐dependent manner (<I>p</I> for trend = 0.0002). The combined effects between the CagA‐related genes and the soluble c‐Met protein concentration significantly intensified risks for gastric cancer. Restricted analyses including cases that had been diagnosed within 1 year after entering the cohort had a fair degree of ability (area under the receiver operating characteristic curve of 0.73–0.77) to discriminate gastric cancer cases from normal controls. Our findings demonstrate the potential of the soluble form of c‐Met protein as a novel biomarker for gastric cancer. The beneficial effects of a high soluble c‐Met concentration in human plasma are strongly supported.</P>
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Reliability of Quadruplicated Serological Parameters in the Korean Genome and Epidemiology Study
Jae Jeong Yang,Ji Hyun Yang,Jimin Kim,Lisa Y. Cho,Boyoung Park,Seung Hyun Ma,Sang Hoon Song,Won-Ki Min,Sung Soo Kim,Man Suck Park,Sue K. Park 한국역학회 2011 Epidemiology and Health Vol.33 No.-
OBJECTIVES: The aim of this study was to evaluate whether clinical test values from different laboratories in the Korean Genome and Epidemiology Study (KoGES) can be integrated through a statistical adjustment algorithm with appropriate intra- and inter-laboratory reliability. METHODS: External quality control data were obtained from the Korean Society for Laboratory Medicine and quadruplicated standardized serological samples (N=3,200) were manufactured in order to check the intra-and inter-laboratory reliability for aspartic acid transaminase (AST), alanine transaminase (ALT), gamma-glutamyl transpeptidase (γ-GTP), blood urea nitrogen (BUN), creatinine, uric acid (UA), fasting blood sugar (FBS), cholesterol, and triglyceride (TG). As an index of inter- and intra-rater reliability, Pearson’s correlation coefficient, intraclass correlation coefficients and kappa statistics were estimated. In addition, to detect the potential for data integration, we constructed statistical compensation models using linear regression analysis with residual analysis, and presented the R-square values. RESULTS: All correlation coefficient values indicated good intra- and inter-laboratory reliability, which ranged from 0.842 to 1.000. Kappa coefficients were greater than 0.75 (0.75-1.00). All of the regression models based on the trial results had strong R-square values and zero sums of residuals. These results were consistent in the regression models using external quality control data. CONCLUSION: The two laboratories in the KoGES have good intra- and inter-laboratory reliability for ten chemical test values, and data can be integrated through algorithmic statistical adjustment using regression equations.
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