Shen-Ing Liu

Prof. Dr. Shen-Ing Liu


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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1 March 2017 in Journal of the Formosan Medical Association
Verified
Journal Article
Open access
HLHui-Ching Liu
Hui-Ching Liu
SLShen-Ing Liu
Shen-Ing Liu
JTJin-Jin Tjung
Jin-Jin Tjung
FSFang-Ju Sun
Fang-Ju Sun
HHHui-Chun Huang
Hui-Chun Huang
CFChun-Kai Fang
Chun-Kai Fang
Self-harm (SH) is a risk factor for suicide. We aimed to determine whether internet addiction and internet exposure to confided suicidal ideation are associated with SH in adolescents. This study was a cross-sectional survey of students who self-completed a series of online questionnaires including a sociodemographic information questionnaire, questionnaire for suicidality and SH, Chen Internet Addiction Scale (CIAS), Patient Health Questionnaire (PHQ-9), multi-dimensional support scale (MDSS), Rosenberg self-esteem scale (RSES), Alcohol Use Disorder Identification Test-Consumption (AUDIT-C), and questionnaire for substance abuse. A total of 2479 students completed the questionnaires (response rate = 62.1%). They had a mean age of 15.44 years (range 14-19 years; standard deviation 0.61), and were mostly female (n = 1494; 60.3%). The prevalence of SH within the previous year was 10.1% (n = 250). Among the participants, 17.1% had internet addiction (n = 425) and 3.3% had been exposed to suicidal content on the internet (n = 82). In the hierarchical logistic regression analysis, internet addiction and internet exposure to suicidal thoughts were both significantly related to an increased risk of SH, after controlling for gender, family factors, exposure to suicidal thoughts in the real life, depression, alcohol/tobacco use, concurrent suicidality, and perceived social support. However, the association between internet addiction and SH weakened after adjusting for the level of self-esteem, while internet exposure to suicidal thoughts remained significantly related to an increased risk of SH (odds ratio = 1.96; 95% confidence interval: 1.06-3.64). Online experiences are associated with SH in adolescents. Preventive strategies may include education to increase social awareness, to identify the youths most at risk, and to provide prompt help.

24 September 2013 in Quality of Life Research
Verified
Journal Article
Closed access
PDF file
YLYun-Tse Lee
Yun-Tse Lee
SLShen-Ing Liu
Shen-Ing Liu
HHHui-Chun Huang
Hui-Chun Huang
FSFang-Ju Sun
Fang-Ju Sun
CHChiu-Ron Huang
Chiu-Ron Huang
AYAlbert Yeung
Albert Yeung

14 February 2011 in Addiction
Verified
Journal Article
Closed access
PDF file
SLShen-Ing Liu
Shen-Ing Liu
SWShu‐I Wu
Shu‐I Wu
SCSu‐Chiu Chen
Su‐Chiu Chen
HHHui‐Chun Huang
Hui‐Chun Huang
FSFang‐Ju Sun
Fang‐Ju Sun
SSShou‐Chuan Shih
Shou‐Chuan Shih

1 May 2017 in Journal of Adolescent Health
Verified
Journal Article
Closed access
YHYu-Hsin Huang
Yu-Hsin Huang
HLHui-Ching Liu
Hui-Ching Liu
FSFang-Ju Sun
Fang-Ju Sun
FTFang-Ju Tsai
Fang-Ju Tsai
KHKuo-Yang Huang
Kuo-Yang Huang
SLShen-Ing Liu
Shen-Ing Liu

18 December 2017 in Assessment
Verified
Journal Article
Closed access
YHYo-Ping Huang
Yo-Ping Huang
ASAvichandra Singh
Avichandra Singh
SCSheng Chen
Sheng Chen
FSFang-Ju Sun
Fang-Ju Sun
CHChiu-Ron Huang
Chiu-Ron Huang
SLShen-Ing Liu
Shen-Ing Liu
This study aimed to develop a psychometrically valid touch screen tablet-based cognitive test battery to identify early cognitive impairment due to dementia in older adults. The battery includes eight tests with 13 subscores, evaluating visual attention, auditory attention, information processing speed, visual memory, motor control, and visuospatial perception. Among the participants, 43 had been diagnosed with mild cognitive impairment (MCI) and 36 with probable Alzheimer’s disease (AD); 41 had no cognitive impairment. The average time to administer the tablet-based tests was 10 minutes. Significant correlations with the Mini-Mental State Examination were found in 9 out of 13 subscores. Patients with probable AD scored significantly lower than controls in 8 out of 13 subscores, whereas those with MCI scored significantly lower in 4 out of 13 subscores. Confirmatory factor analysis using Promax rotation showed that four factors caused lower subscores in the MCI group compared with the controls: information processing speed, memory, visuospatial perception, and motor control. All four factors significantly discriminated the controls from the MCI and probable AD groups, and in the expected direction. The touch screen tablet-based cognitive test battery is psychometrically valid for evaluating cognition in older adults.

6 December 2017 in BMJ Open
Verified
Journal Article
Open access
YHYu-Hsin Huang
Yu-Hsin Huang
HLHui-Ching Liu
Hui-Ching Liu
FTFang-Ju Tsai
Fang-Ju Tsai
FSFang-Ju Sun
Fang-Ju Sun
KHKuo-Yang Huang
Kuo-Yang Huang
SLShen-Ing Liu
Shen-Ing Liu
Objectives The aim of this study was to investigate differences and similarities in risk factors for deliberate self-harm (DSH) and suicidal attempt (SA), and the role of impulsivity among a group of community adolescents. Setting This is a cross-sectional study conducted at high schools in Northern Taiwan. Data and participants We recruited grade 1 students from 14 high schools. A total of 5879 participants (mean age 16.02 years, female adolescents: 57.7%) completed the online assessment. Outcome measures Participants completed online questionnaires about sociodemographic data, suicidality, history of DSH and SA, depressed mood, self-esteem, social support, family discord, impulsivity (Barratt Impulsiveness Scale Version 11 (BIS-11)) and the use of alcohol, tobacco and illicit drugs. A subsample was interviewed about lifetime SA, and the results were compared with those from the online questionnaires. Results In our sample, 25% of the students had lifetime DSH and 3.5% had lifetime SA. Two hundred and seventy-two students received face-to-face interviews. The concordance between the online questionnaires and interviews in terms of ascertaining cases of SA was moderate (concordance rate 82.76%; kappa value 0.59). Similar risk factors for DSH/SA among the whole sample included female gender, lower academic performance, depression, substance use (tobacco and alcohol) and low self-esteem. The BIS-11 score was correlated with DSH. Factor 3 score of the BIS-11 (novelty seeking) was correlated with DSH in both boys and girls, whereas factor 2 score (lack of self-control) was correlated with SA in boys. Social support was a protective factor against SA among the female adolescents. Gender modulated the association of impulsivity and DSH/SA. Associations between impulsivity and DSH and SA were particularly strong among boys. Conclusions Risk factors for DSH and SA were similar, but not identical. Early identification of those at risk and appropriate interventions may be helpful.