Chia-Hua Kuo

Dr. Chia-Hua Kuo

orcid

Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

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

Representative Publications

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LYLiu Yubo
Liu Yubo
Weibing YeWeibing Ye
Weibing Ye
QCQian Chen
Qian Chen
YZYong Zhang
Yong Zhang
Chia-Hua KuoChia-Hua Kuo
Chia-Hua Kuo
MALLIKARJUNA KORIVIMALLIKARJUNA KORIVI
MALLIKARJUNA KORIVI
We investigated the influence of resistance exercise (RE) with different intensities on HbA1c, insulin and blood glucose levels in patients with type 2 diabetes (T2D). Diabetes trials that compared RE group with a control were included in meta-analysis. Exercise intensities were categorized into low-to-moderate-intensity and high-intensity subgroups. Intensity effect on glycemic control was determined by meta-regression analysis, and risk-of-bias was assessed using Cochrane Collaboration tool. 24 trials met the inclusion criteria, comprised of 962 patients of exercise (n = 491) and control (n = 471). Meta-regression analysis showed decreased HbA1c (p = 0.006) and insulin (p = 0.015) after RE was correlated with intensity. Subgroup analysis revealed decreased HbA1c was greater with high intensity (−0.61; 95% CI −0.90, −0.33) than low-to-moderate intensity (−0.23; 95% CI −0.41, −0.05). Insulin levels were significantly decreased only with high intensity (−4.60; 95% CI −7.53, −1.67), not with low-to-moderate intensity (0.07; 95% CI −3.28, 3.42). Notably, values between the subgroups were statistically significant for both HbA1c (p = 0.03) and insulin (p = 0.04), indicative of profound benefits of high-intensity RE. Pooled outcomes of 15 trials showed only a decreased trend in blood glucose with RE (p = 0.09), and this tendency was not associated with intensity. Our meta-analysis provides additional evidence that high-intensity RE has greater beneficial effects than low-to-moderate-intensity in attenuation of HbA1c and insulin in T2D patients.

1 June 2011 in Journal of Strength & Conditioning Research
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Journal Article
Closed access
JCJui-Lien Chen
Jui-Lien Chen
DYDing-Peng Yeh
Ding-Peng Yeh
JLJo-Ping Lee
Jo-Ping Lee
CCChung-Yu Chen
Chung-Yu Chen
CHChih-Yang Huang
Chih-Yang Huang
Chia-Hua KuoChia-Hua Kuo
Chia-Hua Kuo
Heart rate variability (HRV) and parasympathetic power are closely related to the well-being and health status in humans. The main goal of the study was to determine whether these measures can reflect recovery status after weight training. After a 10-day detraining period, 7 weightlifters were challenged with a 2-hour weight training which elicited approximately fourfold increases in circulating muscle creatine kinase level and protracted pain feeling (p < 0.05). Weightlifting performance was then evaluated 3, 24, 48, and 72 hours after training to determine the degree of recovery from fatigue. Heart rate variability, circulating dehydroepiandrostendione sulfate (DHEA-S), and muscle damage markers were measured before each performance test. An electrocardiogram was recorded for 5 minutes continuously at rest in seated positions. After training, weightlifting performance of the subjects decreased below baseline in paralleled with suppressed parasympathetic power (high-frequency [HF] HRV), whereas sympathetic power (normalized low-frequency HRV) was slightly elevated at 3 hours of recovery (p < 0.05). Both weightlifting performances and parasympathetic power returned to baseline values in 24 hours and further increased above baseline during 48-72 hours of recovery in a similar fashion (p < 0.05). Circulating DHEA-S level dropped at 24 hours (p < 0.05) and returned to normal values by 48 hours. Muscle pain increased at 3 hours after training and remained higher than baseline values for the 72-hour recovery period (p < 0.05). Our data suggest that parasympathetic power, indicated by HF HRV, is able to reflect the recovery status of weightlifters after training.

1 February 1998 in Acta Physiologica Scandinavica
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Journal Article
Closed access
PDF file
JIJ. L. Ivy
J. L. Ivy
Chia-Hua KuoChia-Hua Kuo
Chia-Hua Kuo

27 August 2014 in AGE
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Journal Article
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CLChih-Hsueh Lin
Chih-Hsueh Lin
CLCheng-Chieh Lin
Cheng-Chieh Lin
WTWei-Jen Ting
Wei-Jen Ting
PPPei-Ying Pai
Pei-Ying Pai
Chia-Hua KuoChia-Hua Kuo
Chia-Hua Kuo
WLWan-Teng Lin
Wan-Teng Lin

1 February 2014 in Journal of Stroke and Cerebrovascular Diseases
Verified
Journal Article
Closed access
YCYuan-Yang Cheng
Yuan-Yang Cheng
HLHsin-Bang Leu
Hsin-Bang Leu
TCTzeng-Ji Chen
Tzeng-Ji Chen
CCChen-Ling Chen
Chen-Ling Chen
Chia-Hua KuoChia-Hua Kuo
Chia-Hua Kuo
CKChung-Lan Kao
Chung-Lan Kao

1 February 2011 in Food Chemistry
Verified
Journal Article
Closed access
KSKondeti Ramudu Shanmugam
Kondeti Ramudu Shanmugam
MALLIKARJUNA KORIVIMALLIKARJUNA KORIVI
MALLIKARJUNA KORIVI
KNKesireddy Nishanth
Kesireddy Nishanth
Chia-Hua KuoChia-Hua Kuo
Chia-Hua Kuo
KRKesireddy Sathyavelu Reddy
Kesireddy Sathyavelu Reddy