Shyi-Jang Shin

Prof. Shyi-Jang Shin


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2016 in Patient Education and Counseling
Verified
Journal Article
Closed access
YLYau-Jiunn Lee
Yau-Jiunn Lee
SSShyi-Jang Shin
Shyi-Jang Shin
RWRuey-Hsia Wang
Ruey-Hsia Wang
KLKun-Der Lin
Kun-Der Lin
YLYu-Li Lee
Yu-Li Lee
YWYi-Hsien Wang
Yi-Hsien Wang

12 November 2009 in Diabetes Care
Verified
Journal Article
Open access
MHMeng-Chuan Huang
Meng-Chuan Huang
CHChih-Cheng Hsu
Chih-Cheng Hsu
HWHuan-Sen Wang
Huan-Sen Wang
SSShyi-Jang Shin
Shyi-Jang Shin
OBJECTIVE: In this randomized controlled trial we evaluated the effect of registered dietitian–led management of diabetes on glycemic control and macronutrient intake in type 2 diabetic patients in primary care clinics in Taiwan and studied the association between changes in macronutrient intake and glycemic measures. RESEARCH DESIGN AND METHODS: We recruited 154 adult patients with type 2 diabetes and randomly assigned them to a routine care control group (n = 79) or a registered dietitian–led intervention group (n = 75) who received on-site diabetic self-management education every 3 months over 12 months. RESULTS: Over the 1-year period, neither the intervention group (n = 75) nor the control group (n = 79) had significant changes in A1C, whereas the intervention patients with poorly controlled baseline A1C (≥7%) (n = 56) had significantly greater improvements in A1C and fasting plasma glucose than the control subjects (n = 60) (−0.7 vs. −0.2%, P = 0.034; −13.4 vs. 16.9 mg/dl, P = 0.007) during the same period. We also found significant net intervention-control group differences in overall energy intake (−229.06 ± 309.16 vs. 56.10 ± 309.41 kcal/day) and carbohydrate intake (−31.24 ± 61.53 vs. 7.15 ± 54.09 g/day) (P < 0.001) in patients with poorly controlled A1C. Multivariable adjusted modeling revealed an independent association between changes in carbohydrate intake and A1C in the intervention group (n = 56; β = 0.10, SEM = 0.033, P = 0.004). CONCLUSIONS: On-site registered dietitian–led management of diabetes can improve glycemic control in patients with poorly managed type 2 diabetes in primary care clinics in Taiwan. A reduction in carbohydrate intake may improve glycemic status.

26 August 2012 in Diabetologia
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Journal Article
Closed access
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CHC. C. Hsu
C. C. Hsu
HCH. Y. Chang
H. Y. Chang
MHM. C. Huang
M. C. Huang
SHS. J. Hwang
S. J. Hwang
YYYi-Ching Yang
Yi-Ching Yang
TTT. Y. Tai
T. Y. Tai

21 March 2011 in Diabetes Care
Verified
Journal Article
Open access
CHChih-Cheng Hsu
Chih-Cheng Hsu
HCHsing-Yi Chang
Hsing-Yi Chang
MHMeng-Chuan Huang
Meng-Chuan Huang
SHShang-Jyh Hwang
Shang-Jyh Hwang
YYYi-Ching Yang
Yi-Ching Yang
KKKen N. Kuo
Ken N. Kuo
OBJECTIVE: An association between insulin resistance and microalbuminuria in type 2 diabetes has often been found in cross-sectional studies. We aimed to reassess this relationship in a prospective Taiwanese cohort of type 2 diabetic subjects. RESEARCH DESIGN AND METHODS: We enrolled 738 normoalbuminuric type 2 diabetic subjects, aged 56.6 ± 9.0 years, between 2003 and 2005 and followed them through the end of 2009. Average follow-up time was 5.2 ± 0.8 years. We used urine albumin-to-creatinine ratio to define microalbuminuria and the homeostasis model assessment of insulin resistance (HOMA-IR) to assess insulin resistance. The incidence rate ratio and Cox proportional hazards model were used to evaluate the association between HOMA-IR and development of microalbuminuria. RESULTS: We found incidences of microalbuminuria of 64.8, 83.5, 93.3, and 99.0 per 1,000 person-years for the lowest to highest quartiles of HOMA-IR. Compared with those in the lowest quartile of HOMA-IR, the incidence rate ratios for those in the 2nd, 3rd, and highest quartiles were 1.28 (95% CI 0.88–1.87), 1.44 (0.99–2.08), and 1.52 (1.06–2.20), respectively (trend test: P < 0.001). By comparison with those in the lowest quartile, the adjusted hazard ratios were 1.37 (0.93–2.02), 1.66 (1.12–2.47), and 1.76 (1.20–2.59) for those in the 2nd, 3rd, and highest HOMA-IR quartiles, respectively. CONCLUSIONS: According to the dose-response effects of HOMA-IR shown in this prospective study, we conclude that insulin resistance could significantly predict development of microalbuminuria in type 2 diabetic patients.

3 March 2011 in Journal of Cellular Physiology
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Journal Article
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THTusty-Jiuan Hsieh
Tusty-Jiuan Hsieh
TLTzu Lin
Tzu Lin
PHPei‐Chen Hsieh
Pei‐Chen Hsieh
MLMin‐Chun Liao
Min‐Chun Liao
SSShyi-Jang Shin
Shyi-Jang Shin

Verified
Journal Article
Open access
PDF file
CLChing-Chao Liang
Ching-Chao Liang
PLPi-Chen Lin
Pi-Chen Lin
Mei Yueh LeeMei Yueh Lee
Mei Yueh Lee
SCSzu-Chia Chen
Szu-Chia Chen
SSShyi-Jang Shin
Shyi-Jang Shin
WHWei Hao Hsu
Wei Hao Hsu
Patients with type 2 diabetes mellitus (DM) may experience chronic microvascular complications such as diabetic retinopathy (DR) and diabetic nephropathy (DN) during their lifetime. In clinical studies, serum uric acid concentration has been found to be associated with DR and DN. The goal of this study was to evaluate the relationship between the increases in serum uric acid level and the severity of DR and albuminuria in Taiwanese patients with type 2 DM. We recorded serum uric acid concentration, the severity of DR, and the severity of albuminuria by calculating urinary albumin-to-creatinine ratio (UACR) in 385 patients with type 2 DM. In multivariate logistic regression analysis, a high uric acid concentration was a risk factor for albuminuria (odds ratio (OR), 1.227; 95% confidence interval (CI) = 1.015–1.482; p = 0.034) and DR (OR, 1.264; 95% CI = 1.084–1.473; p = 0.003). We also demonstrated that there was a higher concentration of serum uric acid in the patients with more severe albuminuria and DR. In conclusion, an increased serum uric acid level was significantly correlated with the severity of albuminuria and DR in Taiwanese patients with type 2 DM.