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Chi-Fa Hung

Researcher at Chang Gung University

Publications -  51
Citations -  949

Chi-Fa Hung is an academic researcher from Chang Gung University. The author has contributed to research in topics: Anxiety & Medicine. The author has an hindex of 16, co-authored 42 publications receiving 697 citations. Previous affiliations of Chi-Fa Hung include Memorial Hospital of South Bend & King's College London.

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Anxiety and depression in patients with head and neck cancer: 6-month follow-up study

TL;DR: Assessment of psychiatric morbidities of patients with head and neck cancer in a prospective study at pretreatment, and 3 and 6 months after treatment, and to compare their health-related quality of life (HRQL) between those with and without depressive disorders (depression) found depression was predicted by sticky saliva and trouble with social contact.
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Shortened telomere length in patients with depression: A meta-analytic study.

TL;DR: The hypothesis that depression is associated with accelerated cell aging is supported, and future studies are required to clarify whether the association is mediated through environmental stress, and whether effective treatment can halt cell aging.
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A genetic risk score combining 32 SNPs is associated with body mass index and improves obesity prediction in people with major depressive disorder

TL;DR: A GRS proved to be a highly significant predictor of obesity in people with MDD but accounted for only modest amount of variance, and as more risk loci are identified, combining a GRS approach with information on non-genetic risk factors could become a useful strategy in identifying MDD patients at higher risk of developing obesity.
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The Chinese Version of the Brief Assessment of Cognition in Schizophrenia: Data of a Large-Scale Mandarin-Speaking Population.

TL;DR: It is demonstrated that directly applying western cognitive norms to a Mandarin-speaking population can cause biased interpretations with regard to verbal memory, token motor test, verbal fluency, symbol coding, Tower of London and composite score.