Hsing-Yi Chang

Dr. Hsing-Yi Chang

National Health Research Institutes, Taiwan, ROC
orcid

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 May 2010 in Archives of Gerontology and Geriatrics
Verified
Journal Article
Closed access
HCHsing-Yi Chang
Hsing-Yi Chang
CCChii-Jun Chiou
Chii-Jun Chiou
NCNain-Sen Chen
Nain-Sen Chen

2 December 2019 in International Journal of Behavioral Nutrition and Physical Activity
Verified
Journal Article
Open access
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THTsung-Jen Hsieh
Tsung-Jen Hsieh
SSShin-Chang Su
Shin-Chang Su
CCChun-Wei Chen
Chun-Wei Chen
YKYaw-Wen Kang
Yaw-Wen Kang
MHMing-Hsia Hu
Ming-Hsia Hu
CHChih-Cheng Hsu
Chih-Cheng Hsu
Background: Frail older adults are predisposed to multiple comorbidities and adverse events. Recent interventional studies have shown that frailty can be improved and managed. In this study, effective individualized home-based exercise and nutrition interventions were developed for reducing frailty in older adults. Methods: This study was a four-arm, single-blind, randomized controlled trial conducted between October 2015 and June 2017 at Miaoli General Hospital in Taiwan. Overall, 319 pre-frail or frail older adults were randomly assigned into one of the four study groups (control, exercise, nutrition, and exercise plus nutrition [combination]) and followed up during a 3-month intervention period and 3-month self-maintenance period. Improvement in frailty scores was the primary outcome. Secondary outcomes included improvements in physical performance and mental health. The measurements were performed at baseline, 1 month, 3 months, and 6 months. Results: At the 6-month measurement, the exercise (difference in frailty score change from baseline: − 0.23; 95% confidence interval [CI]: − 0.41, − 0.05; p = 0.012), nutrition (− 0.28; 95% CI: − 0.46, − 0.11; p = 0.002), and combination (− 0.34; 95% CI: − 0.52, − 0.16; p < 0.001) groups exhibited significantly greater improvements in the frailty scores than the control group. Significant improvements were also observed in several physical performance parameters in the exercise, nutrition, and combination groups, as well as in the 12-Item Short Form Health Survey mental component summary score for the nutrition group. Conclusions: The designated home-based exercise and nutrition interventions can help pre-frail or frail older adults to improve their frailty score and physical performance. Trial registration: Retrospectively registered at ClinicalTrials.gov (identifier: NCT03477097); registration date: March 26, 2018.

12 February 2007 in BMC Health Services Research
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Journal Article
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NHNicole Huang
Nicole Huang
SSShu-Fang Shih
Shu-Fang Shih
HCHsing-Yi Chang
Hsing-Yi Chang
YCYiing-Jenq Chou
Yiing-Jenq Chou
Background: Linking computerized health insurance records with routinely collected survey data is becoming increasingly popular in health services research. However, if consent is not universal, the requirement of written informed consent may introduce a number of research biases. The participants of a national health survey in Taiwan were asked to have their questionnaire results linked to their national health insurance records. This study compares those who consented with those who refused. Methods: A national representative sample (n = 14,611 adults) of the general adult population aged 20 years or older who participated in the Taiwan National Health Interview Survey (NHIS) and who provided complete survey information were used in this study. At the end of the survey, the respondents were asked if they would give permission to access their National Health Insurance records. Information given by the interviewees in the survey was used to analyze who was more likely to consent to linkage and who wasn't. Results: Of the 14,611 NHIS participants, 12,911 (88%) gave consent, and 1,700 (12%) denied consent. The elderly, the illiterate, those with a lower income, and the suburban area residents were significantly more likely to deny consent. The aborigines were significantly less likely to refuse. No discrepancy in gender and self-reported health was found between individuals who consented and those who refused. Conclusion: This study is the first population-based study in assessing the consent pattern in a general Asian population. Consistent with people in Western societies, in Taiwan, a typical Asian society, a high percentage of adults gave consent for their health insurance records and questionnaire results to be linked. Consenters differed significantly from non-consenters in important aspects such as age, ethnicity, and educational background. Consequently, having a high consent rate (88%) may not fully eliminate the possibility of selection bias. Researchers should take this source of bias into consideration in their study design and investigate any potential impact of this source of bias on their results.

29 November 2012 in BMC Medicine
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Journal Article
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MWMark Wahlqvist
Mark Wahlqvist
MLMeei-Shyuan Lee
Meei-Shyuan Lee
SCShao-Yuan Chuang
Shao-Yuan Chuang
CHChih-Cheng Hsu
Chih-Cheng Hsu
HTHsin-Ni Tsai
Hsin-Ni Tsai
HCHsing-Yi Chang
Hsing-Yi Chang
To confirm whether type 2 diabetes (T2DM) is an affective disorder (AD) precursor, and to establish possible effects of oral anti-hyperglycemic agents (OAAs).

16 September 2016 in Scientific Reports
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Journal Article
Open access
TCTing-Yu Chen
Ting-Yu Chen
HCHsing-Yi Chang
Hsing-Yi Chang
Previous research has discussed the factors associated with cognitive impairment, but the patterns of its development have been little described. Our aim was to examine long-term development of cognitive function and the related factors using longitudinal follow-up data. A group-based trajectory model and multinomial logistic regression were applied to identify trajectories and the associated baseline factors, and a mixed model was used to identify the time-varying factors associated with the trajectories. Three trajectories were identified: starting low and declining (30.8%), starting high and declining (51.8%), and high-stable (17.4%). These three trajectories were apparent at the beginning of the study and did not crossover during the study period. Smoking, diabetes, depression, and instrumental activities of daily living were significant variables for differentiating the starting high and declining group from the high-stable group. Similar patterns and emotional support as a contributing variable were observed in the starting low and declining group. Physical activity, self-rated health, cardiovascular diseases, depression score, physical function, and social support were related to the trajectories over time. Impaired physical function, cardiovascular diseases, depression symptom, and poor social support in late life may be potential risk factors affecting the decline of cognitive function. Preventive strategies should be designed accordingly.

1 December 2010 in Diabetes Research and Clinical Practice
Verified
Journal Article
Closed access
HCHsing-Yi Chang
Hsing-Yi Chang
CHChih-Cheng Hsu
Chih-Cheng Hsu
WPWen-Harn Pan
Wen-Harn Pan
WLWen-Ling Liu
Wen-Ling Liu
JCJennifer Ying-Chi Cheng
Jennifer Ying-Chi Cheng
BHBaai-Shyun Hurng
Baai-Shyun Hurng