Nanmei Liu

Nanmei Liu


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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30 March 2020 in medRxiv
Verified
Preprint
Open access
PDF file
XKXiangyu Kong
Xiangyu Kong
KZKailian Zheng
Kailian Zheng
MTMin Tang
Min Tang
FKFanyang Kong
Fanyang Kong
JZJiahuan Zhou
Jiahuan Zhou
YDYuchao Dong
Yuchao Dong
Objective: The 2019 coronavirus disease (COVID-19) epidemic has raised international concern. Mental health is becoming an issue that cannot be ignored in our fight against it. This study aimed to explore the prevalence and factors linked to anxiety and depression in hospitalized patients with COVID-19. Methods: A total of 144 patients diagnosed with COVID-19 were included in this study. We assessed depression and anxiety symptoms using the Hospital Anxiety and Depression Scale (HADS), and social support using the Perceived Social Support Scale (PSSS) among patients at admission. Multivariate linear regression analyses were performed to identify factors associated with symptoms of anxiety and depression. Results: Of the 144 participants, 34.72% and 28.47% patients with COVID-19 had symptoms of anxiety or depression, respectively. The bivariate correlations showed that less social support was correlated with more anxious (r=-0.196, p<0.05) and depressive (r=-0.360,p<0.05) symptoms among patients with COVID-19. The multiple linear regression analysis showed that gender (β=1.446, p=0.034), age (β=0.074, p=0.003), oxygen saturation (β =-2.140, p=0.049), and social support (β =-1.545, p=0.017) were associated with anxiety for COVID-19 patients. Moreover, age (β=0.084, p=0.001), family infection with SARS-CoV-2 (β =1.515, p=0.027) and social support (β =-2.236, p<0.001) were the factors associated with depression. Conclusion: Hospitalized patients with COVID-19 presented features of anxiety and depression. Mental concern and appropriate intervention are essential parts of clinical care for those who are at risk.

20 November 2020 in Frontiers in Psychiatry
Verified
Journal Article
Open access
PDF file
XKXiangyu Kong
Xiangyu Kong
FKFanyang Kong
Fanyang Kong
KZKailian Zheng
Kailian Zheng
MTMin Tang
Min Tang
YCYi Chen
Yi Chen
YDYuchao Dong
Yuchao Dong
The COVID-19 epidemic has caused increasing public panic and mental health stress. In this study, we explore the prevalence and factors linked to anxiety and depression in hospitalized patients with COVID-19. A total of 144 patients diagnosed with COVID-19 underwent depression and anxiety assessment by using the Hospital Anxiety and Depression Scale (HADS). Social support level was also evaluated by the Perceived Social Support Scale (PSSS) at admission. Results showed that gender, age, oxygen saturation, and social support were associated with anxiety for COVID-19 patients. In addition, age, family infection with SARS-CoV-2, and social support were the risk factors associated with depression. Moreover, we designed a psychological–behavioral intervention (PBI) program that included psychological support and breathing exercises, and explored its effects on patients with COVID-19. Of the 144 participants, 26 patients with both anxiety and depression symptoms (cutoff score of ≥8 on HADS-A and HADS-D) were randomly assigned to the intervention group and the control group at a 1:1 ratio. After 10-day treatment, the HADS scores of depression and anxiety were significantly reduced in the intervention group, and PSSS scores were also significantly improved. However, no significant differences in HADS and PSSS scores between pre- and post-treatment were found in the control group. Our findings indicate that mental concern and appropriate intervention are essential parts of clinical care for COVID-19 patients.

1 August 2023 in LWT
Verified
Journal Article
Open access
NLNanmei Liu
Nanmei Liu
EZErqing Zhang
Erqing Zhang
YYYingting Yang
Yingting Yang
TZTao Zheng
Tao Zheng
TXTing Xin
Ting Xin
DSDongxiao Su
Dongxiao Su

8 July 2016 in BMC Psychiatry
Verified
Journal Article
Open access
PDF file
YWYanYan Wei
YanYan Wei
TZTianHong Zhang
TianHong Zhang
ACAnnabelle Chow
Annabelle Chow
YTYingYing Tang
YingYing Tang
LXLiHua Xu
LiHua Xu
JWJijun Wang
Jijun Wang
The reported rates of personality disorder (PD) in subjects with schizophrenia (SZ) are quite varied across different countries, and less is known about the heterogeneity of PD among subjects with SZ. We examined the co-morbidity of PD among patients who are in the stable phase of SZ. 850 subjects were randomly sampled from patients diagnosed with SZ in psychiatric and psycho-counseling clinics at Shanghai Mental Health Center. Co-morbidity of PDs was assessed through preliminary screening and patients were administered several modules of the SCID-II. Evidence of heterogeneity was evaluated by comparing patients diagnosed with SZ with those who presented with either affective disorder or neurosis (ADN). 204 outpatients (24.0 %) in the stable phase of SZ met criteria for at least one type of DSM-IV PD. There was a higher prevalence of Cluster-A (odd and eccentric PD) and C (anxious and panic PD) PDs in SZ (around 12.0 %). The most prevalent PD was the paranoid subtype (7.65 %). Subjects with SZ were significantly more likely to have schizotypal PD (4.4 % vs. 2.1 %, p = 0.003) and paranoid PD (7.6 % vs. 5.4 %, p = 0.034), but much less likely to have borderline, obsessive-compulsive, depressive, narcissistic and histrionic PD. These findings suggest that DSM-IV PD is common in patients with SZ than in the general population. Patterns of co-morbidity with PDs in SZ are different from ADN.

12 July 2021 in Frontiers in Psychiatry
Verified
Journal Article
Open access
RZRuike Zhang
Ruike Zhang
THTianya Hou
Tianya Hou
XKXiangyu Kong
Xiangyu Kong
GWGuibin Wang
Guibin Wang
HWHao Wang
Hao Wang
ATAnd Yunxiang Tang
And Yunxiang Tang
Objective: To investigate the prevalence of sleep quality and post-traumatic stress disorder (PTSD) symptoms of healthcare workers (HCWs) and identify the determinants for PTSD symptoms among HCWs in high-risk and low-risk areas during the COVID-19 outbreak in China.Methods: The Pittsburgh Sleep Quality Index and the Impact of Event Scale were used to assess sleep quality and symptoms of PTSD of 421 Chinese HCWs, respectively, from January 30 to March 2, 2020. The influencing factors of PTSD symptoms were identified by univariate analysis and multiple regression.Results: The incidence of HCWs getting PTSD symptoms were 13.2%. HCWs from high-risk areas had significantly poorer sleep quality (p < 0.001). Poor sleep quality was the risk factor of PTSD symptoms for HCWs from high-risk (p = 0.018) and low-risk areas (p < 0.001). Furthermore, non-medical staff were found to be the risk factor for PTSD symptoms only in low-risk areas.Discussion: HCWs in Hubei had poorer sleep quality. Non-medical HCWs from low-risk areas were associated with more severe PTSD symptoms. Mental health programs should be considered for HCWs, especially those who are often overlooked.

7 April 2020 in Psycho-Oncology
Verified
Journal Article
Closed access
PDF file
NLNanmei Liu
Nanmei Liu
CHChen He
Chen He
XLXiaopan Li
Xiaopan Li
LXLei Xiao
Lei Xiao
JHJingwen He
Jingwen He
ATAnd Yunxiang Tang
And Yunxiang Tang