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Dive into the research topics where Kuen-Cheh Yang is active.

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Featured researches published by Kuen-Cheh Yang.


Obesity Research & Clinical Practice | 2013

Sarcopenic obesity is closely associated with metabolic syndrome

Chia-Wen Lu; Kuen-Cheh Yang; Hao-Hsiang Chang; Long-Teng Lee; Ching-Yu Chen; Kuo-Chin Huang

OBJECTIVES Obesity is a risk factor for metabolic syndrome (MetS). We aimed to investigate whether sarcopenic obesity (SO) was associated with MetS. METHODS A total of 600 community-dwelling males and females aged 63.6 ± 10.1 years in Northern Taiwan were enrolled in this study. Sarcopenia was defined by the percentage of total skeletal mass (total skeletal muscle mass (kg)/weight (kg) x 100). Cut-offs were established at <37% in men and <27.6% in women using the bioelectrical impedance analysis (BIA) method. Obesity was defined as body mass index (BMI) ≥25 kg/m(2). MetS was defined by the consensus of National Cholesterol Education Program-Adult Treatment Panel III modified for Asians. The association between MetS and SO was examined using multivariate logistic regression analyses after controlling potential confounders. RESULTS The SO group demonstrated a higher risk for MetS (odds ratio [OR] 11.59 [95% confidence interval [CI] 6.72-19.98]) than the obese group (7.53 [4.01-14.14]) and sarcopenic group (1.98 [1.25-3.16]). The individual components including waist circumference, serum triglycerides, high-density lipoprotein cholesterol (HDL-C), and fasting serum glucose were independently associated with SO. CONCLUSION SO is a major risk factor for MetS. The BIA method and BMI can easily identify subjects at high risk for MetS. The underlying mechanism for the relationship between SO and MetS warrants further research.


Nutrition & Metabolism | 2010

Serum selenium concentration is associated with metabolic factors in the elderly: a cross-sectional study

Kuen-Cheh Yang; Long-Teng Lee; Yow-Shan Lee; Hui-Ying Huang; Ching-Yu Chen; Kuo-Chin Huang

BackgroundSelenium is an essential micronutrient known for its antioxidant function. However, the association of serum selenium with lipid profiles and fasting glucose are inconsistent in populations with average intake of selenium. Furthermore, there were few studies conducted specifically for the elderly. This study examined the relationship of serum selenium concentration with serum lipids and fasting glucose in the Taiwanese elderly population.MethodsThis was a cross-sectional study of 200 males and females aged 65-85 years (mean 71.5 ± 4.6 years) from Taipei, Taiwan. Serum selenium was measured by inductively coupled plasma-mass spectrometer. The association between serum selenium and metabolic factors was examined using a multivariate linear regression analysis after controlling several confounders.ResultsThe mean serum selenium concentration was 1.14 μmol/L, without significant difference between sexes. Total cholesterol, triglycerides, and LDL cholesterol increased significantly with serum selenium concentration (P < 0.001, P < 0.05 and P < 0.001, respectively) after adjusting for age, gender, anthropometric indices, lifestyle factors, and cardio-vascular risk factors in several linear regression models. Furthermore, there was a significantly positive association between serum selenium and serum fasting glucose concentrations (P < 0.05).ConclusionsTotal cholesterol, triglycerides, and LDL cholesterol, and fasting serum glucose concentrations increased significantly with serum selenium concentration in the Taiwanese elderly. The underlying mechanism warrants further research.


Helicobacter | 2015

Helicobacter Pylori Infection is Positively Associated with Metabolic Syndrome in Taiwanese Adults: a Cross-Sectional Study.

Tsung-Po Chen; Hui-Fang Hung; Meng-Kan Chen; Ho-Hsien Lai; Kuo-Chin Huang; Kuen-Cheh Yang

Helicobacter pylori infection and metabolic syndrome have been reported to be positively associated. However, only a few studies have focused on this issue, and H. pylori serum antigen was used to diagnose infection in most of them. We aimed to investigate the association between metabolic syndrome factors and H. pylori infection, as diagnosed via a 13C‐urea breath test.


Scientific Reports | 2016

Association of Non-alcoholic Fatty Liver Disease with Metabolic Syndrome Independently of Central Obesity and Insulin Resistance

Kuen-Cheh Yang; Hui-Fang Hung; Chia-Wen Lu; Hao-Hsiang Chang; Long-Teng Lee; Kuo-Chin Huang

Non-alcoholic fatty liver disease (NAFLD) is an emerging chronic liver disease that may lead to liver cirrhosis and hepatocellular carcinoma. We aimed to determine the association between the prevalence of metabolic syndrome (MetS) and NAFLD severity using semi-quantitative ultrasonography (US). A total of 614 participants were recruited from the community. NAFLD was evaluated according to the ultrasonographic Fatty Liver Indicator (US-FLI), which is a semi-quantitative liver ultrasound score. Insulin resistance was estimated with the homeostasis model assessment index for insulin resistance (HOMA-IR). NAFLD and MetS were found in 53.7 and 17.3% of the participants, respectively. Linear relationships were found between the severity of NAFLD and waist circumference, fasting glucose, HOMA-IR, triglycerides, HDL-C and blood pressure. After adjusting for confounding factors, i.e., body mass index and HOMA-IR, the odds ratios for MetS were 3.64 (95% confidence interval (CI): 1.5–8.83) for those with mild NAFLD and 9.4 (95% CI: 3.54–24.98) for those with moderate-to-severe NAFLD compared to those without NAFLD. The combination of the HOMA-IR and US-FLI scores better differentiated MetS than the HOMA-IR alone. In addition to obesity, the severity of NAFLD and the HOMA-IR both play important roles in MetS. Whether NAFLD is a component of MetS warrants further research.


BMJ open diabetes research & care | 2016

High serum selenium levels are associated with increased risk for diabetes mellitus independent of central obesity and insulin resistance

Chia-Wen Lu; Hao-Hsiang Chang; Kuen-Cheh Yang; Chia-Sheng Kuo; Long-Teng Lee; Kuo-Chin Huang

Objective Selenium is an essential micronutrient for human health. Although many observational and interventional studies have examined the associations between selenium and diabetes mellitus, the findings were inconclusive. This study aimed to investigate the relationship between serum selenium levels and prevalence of diabetes, and correlated the relationship to insulin resistance and central obesity. Research design and methods This was a hospital-based case–control study of 847 adults aged more than 40 years (diabetes: non-diabetes =1:2) in Northern Taiwan. Serum selenium was measured by an inductively coupled plasma-mass spectrometer. The association between serum selenium and diabetes was examined using multivariate logistic regression analyses. Results After adjusting for age, gender, current smoking, current drinking, and physical activity, the ORs (95% CI, p value) of having diabetes in the second (Q2), third (Q3), and fourth (Q4) selenium quartile groups were 1.24 (95% CI 0.78 to 1.98, p>0.05), 1.90 (95% CI 1.22 to 2.97, p<0.05), and 5.11 (95% CI 3.27 to 8.00, p<0.001), respectively, compared with the first (Q1) quartile group. Further adjustments for waist circumference and homeostatic model assessment-insulin resistance (HOMA-IR) largely removed the association of serum selenium levels with diabetes but not in the highest quartile (compared with Q1, Q3: 1.57, 95% CI 0.91 to 2.70, Q4: 3.79, 95% CI 2.17 to 6.32). Conclusions We found that serum selenium levels were positively associated with prevalence of diabetes. This is the first human study to link insulin resistance and central obesity to the association between selenium and diabetes. Furthermore, the association between selenium and diabetes was independent of insulin resistance and central obesity at high serum selenium levels. The mechanism behind warrants further confirmation.


Medicine | 2016

The Relationship of Diabetes and Smoking Status to Hepatocellular Carcinoma Mortality

Chien-Hsieh Chiang; Chia-Wen Lu; Hsieh-Cheng Han; Shou-Hung Hung; Yi-Hsuan Lee; Kuen-Cheh Yang; Kuo-Chin Huang

AbstractThe relationship of diabetes and smoking status to hepatocellular carcinoma (HCC) mortality is not clear. We aimed to investigate the association of smoking cessation relative to diabetes status with subsequent deaths from HCC.We followed up 51,164 participants (aged 44–94 years) without chronic hepatitis B or C from 1 January 1998 to 31 December 2008 enrolled from nationwide health screening units in a prospective cohort study. The primary outcomes were deaths from HCC.During the study period, there were 253 deaths from HCC. History of diabetes was associated with deaths from HCC for both total participants (adjusted hazard ratio [HR], 2.97; 95% confidence interval [CI], 2.08–4.23) and ever smokers with current or past smoking habits (HR, 1.92; 95% CI, 1.10–3.34). Both never smokers (HR, 0.46; 95% CI, 0.32–0.65) and quitters (HR, 0.62; 95% CI, 0.39–0.97) had a lower adjusted risk of HCC deaths compared with current smokers. Among all ever smokers with current or past smoking habits, as compared with diabetic smokers, only quitters without diabetes had a lower adjusted risk of HCC deaths (HR, 0.37; 95% CI, 0.18–0.78). However, quitters with diabetes were observed to have a similar risk of deaths from HCC when compared with smokers with diabetes. Regarding the interaction between diabetes and smoking status on adjusted HCC-related deaths, with the exception of quitters without history of diabetes, all groups had significantly higher HRs than nondiabetic never smokers. There was also a significant multiplicative interaction between diabetes and smoking status on risk of dying from HCC (P = 0.033). We suggest clinicians should promote diabetes prevention and never smoking to associate with reduced subsequent HCC mortality even in adults without chronic viral hepatitis.


Journal of the American Medical Directors Association | 2014

Low Serum Selenium Level Is Associated With Low Muscle Mass in the Community-Dwelling Elderly

You-Ling Chen; Kuen-Cheh Yang; Hao-Hsiang Chang; Long-Teng Lee; Chia-Wen Lu; Kuo-Chin Huang

OBJECTIVES Elderly persons with low muscle mass (LMM) or sarcopenia are prone to frailty and functional decline. This study aimed to investigate the relationship between serum selenium level and skeletal muscle mass in community-dwelling elderly. DESIGN Cross-sectional observational study. SETTING AND PARTICIPANTS A total of 327 elderly Taipei citizens (mean age 71.5 ± 4.7 years) were recruited from the community. MEASUREMENTS Skeletal muscle mass was measured by bioelectrical impedance analysis. LMM was defined by low skeletal muscle index (SMI: muscle mass (kg)/[height (m)](2)). All participants were further divided into quartiles by serum selenium level and the risk for LMM among these quartiles was examined using multivariate logistic regression analyses. Estimated serum selenium levels for the LMM group vs the normal group and estimated SMI in the quartiles of serum selenium were computed by least square method in linear regression models. RESULTS The estimated mean (±standard deviation) of serum selenium level was significantly lower in the LMM group compared with the normal group after adjusting for confounders (1.01 ± 0.03 μmol/L vs 1.14 ± 0.02 μmol/L, P < .001). After adjusting for age, sex, lifestyle, and physical and metabolic factors, the odds ratios (95% confidence interval, P value) of LMM in the bottom, second, and third selenium quartile groups were 4.62 (95% CI 2.11-10.10, P < .001), 2.30 (95% CI 1.05-5.03, P < .05) and 1.51 (95% CI 0.66-3.46, P = .327), respectively, compared with the top quartile group of serum selenium level. The least square mean of SMI increased with the quartiles of serum selenium (P < .001). CONCLUSIONS This is the first study to demonstrate that low serum selenium is independently associated with low muscle mass in the elderly. The causality and underlying mechanism between selenium and low muscle mass or sarcopenia warrant further research.


Nutrients | 2016

The Association between Total Protein and Vegetable Protein Intake and Low Muscle Mass among the Community-Dwelling Elderly Population in Northern Taiwan

Ru-Yi Huang; Kuen-Cheh Yang; Hao-Hsiang Chang; Long-Teng Lee; Chia-Wen Lu; Kuo-Chin Huang

Sarcopenia, highly linked with fall, frailty, and disease burden, is an emerging problem in aging society. Higher protein intake has been suggested to maintain nitrogen balance. Our objective was to investigate whether pre-sarcopenia status was associated with lower protein intake. A total of 327 community-dwelling elderly people were recruited for a cross-sectional study. We adopted the multivariate nutrient density model to identify associations between low muscle mass and dietary protein intake. The general linear regression models were applied to estimate skeletal muscle mass index across the quartiles of total protein and vegetable protein density. Participants with diets in the lowest quartile of total protein density (<13.2%) were at a higher risk for low muscle mass (odds ratio (OR) 3.03, 95% confidence interval (CI) 1.37–6.72) than those with diets in the highest quartile (≥17.2%). Similarly, participants with diets in the lowest quartile of vegetable protein density (<5.8%) were at a higher risk for low muscle mass (OR 2.34, 95% CI 1.14–4.83) than those with diets in the highest quartile (≥9.4%). Furthermore, the estimated skeletal muscle mass index increased significantly across the quartiles of total protein density (p = 0.023) and vegetable protein density (p = 0.025). Increasing daily intakes of total protein and vegetable protein densities appears to confer protection against pre-sarcopenia status.


Medicine | 2015

Serum Triglyceride Levels Independently Contribute to the Estimation of Visceral Fat Amount Among Nondiabetic Obese Adults.

Chiao-Yu Huang; Hsien-Liang Huang; Kuen-Cheh Yang; Long-Teng Lee; Wei-Shiung Yang; Kuo-Chin Huang; Fen-Yu Tseng

Abstract Determining the visceral fat amount is important in the risk stratification for the prevention of type 2 diabetes and obesity-related disorders. The area-based measurement of visceral fat area (VFA) via magnetic resonance imaging (MRI) is an accurate but expensive and time-consuming method for estimating visceral fat amount. The aim of our study was to identify a practical predictive parameter for visceral obesity in clinical settings. In this cross-sectional study, we recruited 51 nondiabetic obese (body mass index [BMI] ≥ 27 kg/m2) adults in Taiwan (21 men and 30 women, mean age 35.6 ± 9.2 years, mean BMI 33.3 ± 3.9 kg/m2). VFA was quantified by a single-slice MRI image. Anthropometric indices and biochemical parameters including fasting plasma glucose, serum level of alanine aminotransferase, and lipid profiles were measured. The associations between different variables and VFA were analyzed by linear regression analysis. Increases in BMI, waist circumference, serum levels of alanine aminotransferase and triglycerides (TGs), and decreased serum levels of high-density lipoprotein cholesterol were correlated with larger VFA. After adjustment for age, sex, and anthropometric indices, only serum TG level remained as an independent correlate of VFA. Besides demographic and anthropometric indices, adding TG level may explain a greater variance of VFA. In stepwise multivariate regression analysis, male sex, age, waist circumference, and serum TG level remained significant predictors of VFA. In a subgroup analysis among subjects with BMI ≥30 kg/m2, similar results were demonstrated and serum TG level remained as significant independent correlates of VFA in all of the predictive models. Among nondiabetic obese adults, serum TG level was positively associated with VFA. The combination of sex, age, anthropometric indices, and serum TG level may be used to estimate VFA in clinical settings.


Medicine | 2016

Effectiveness of 23-valent pneumococcal polysaccharide vaccine on diabetic elderly

Chia-Sheng Kuo; Chia-Wen Lu; Yu-Kang Chang; Kuen-Cheh Yang; Shou-Hung Hung; Ming-Ching Yang; Hao-Hsiang Chang; Chi-Ting Huang; Chih-Cheng Hsu; Kuo-Chin Huang

AbstractDiabetes mellitus is associated with increased risk of pneumonia, and 23-valent pneumococcal polysaccharide vaccine (PPV23) is recommended for prevention of pneumonia. However, the effectiveness of PPV23 remains unclear in the older diabetic patients who usually have compromised immune function.We used data extracted from the Taiwanese National Health Insurance Research Database (NHIRD) from 2000 to 2009 to conduct a population-based retrospective cohort study, comparing the incidence of pneumococcal diseases among PPV23-vaccinated and propensity-score matched PPV23-unvaccinated groups in diabetic elderly. The primary outcome was invasive pneumococcal diseases (IPDs), and the secondary outcomes were medical utilization.PPV23-vaccinated group had reduced risks of IPD (adjusted OR: 0.86, 95% CI: 0.78–0.94), respiratory failure (0.84, 0.77–0.93), and shorter length of hospitalization (−1.27 ± 0.19 days, P value: 0.0012). In flu-vaccinated group, subjects who received PPV23 had reduced risks of IPD, hospitalization, and respiratory failure; had shorter lengths of hospitalization; and less medical costs, than those without receiving PPV23. In not flu-vaccinated group, PPV23 vaccination was associated with reduced risks of IPD and respiratory failure. Receiving both vaccines could bring better protection in IPD, hospitalization, visits of emergency department, and respiratory failure.PPV23 vaccination was effective in prevention of pneumococcal diseases and reduction of medical utilization in diabetic elderly aged 75 and more. Receiving both vaccines resulted in better outcomes than PPV vaccination alone.

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Kuo-Chin Huang

Memorial Hospital of South Bend

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Long-Teng Lee

National Taiwan University

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Chia-Wen Lu

National Taiwan University

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Hao-Hsiang Chang

National Taiwan University

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Hui-Fang Hung

National Taiwan University

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Chia-Sheng Kuo

National Taiwan University

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Ching-Yu Chen

National Taiwan University

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Meng-Kan Chen

National Taiwan University

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Shou-Hung Hung

National Taiwan University

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