Liqing Li

Dr. Liqing Li


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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5 November 2016 in BMC Psychiatry
Verified
Journal Article
Open access
PDF file
LLLiqing Li
Liqing Li
CWChunmei Wu
Chunmei Wu
YGYong Gan
Yong Gan
贤区贤国 区
贤国 区
ZLZuxun Lu
Zuxun Lu
Observational studies suggest that insomnia might be associated with an increased risk of depression with inconsistent results. This study aimed at conducting a meta-analysis of prospective cohort studies to evaluate the association between insomnia and the risk of depression. Relevant cohort studies were comprehensively searched from the PubMed, Embase, Web of Science, and China National Knowledge Infrastructure databases (up to October 2014) and from the reference lists of retrieved articles. A random-effects model was used to calculate the pooled risk estimates and 95 % confidence intervals (CIs). The I 2 statistic was used to assess the heterogeneity and potential sources of heterogeneity were assessed with meta-regression. The potential publication bias was explored by using funnel plots, Egger’s test, and Duval and Tweedie trim-and-fill methods. Thirty-four cohort studies involving 172,077 participants were included in this meta-analysis with an average follow-up period of 60.4 months (ranging from 3.5 to 408). Statistical analysis suggested a positive relationship between insomnia and depression, the pooled RR was 2.27 (95 % CI: 1.89–2.71), and a high heterogeneity was observed (I 2 = 92.6 %, P < 0.001). Visual inspection of the funnel plot revealed some asymmetry. The Egger’s test identified evidence of substantial publication bias (P <0.05), but correction for this bias using trim-and-fill method did not alter the combined risk estimates. This meta-analysis indicates that insomnia is significantly associated with an increased risk of depression, which has implications for the prevention of depression in non-depressed individuals with insomnia symptoms.

24 December 2014 in BMC Psychiatry
Verified
Journal Article
Open access
PDF file
YGYong Gan
Yong Gan
YGYanhong Gong
Yanhong Gong
XTXinyue Tong
Xinyue Tong
HSHuilian Sun
Huilian Sun
YCYingjie Cong
Yingjie Cong
ZLZuxun Lu
Zuxun Lu
Several systematic reviews and meta-analyses demonstrated the association between depression and the risk of coronary heart disease (CHD), but the previous reviews had some limitations. Moreover, a number of additional studies have been published since the publication of these reviews. We conducted an updated meta-analysis of prospective studies to assess the association between depression and the risk of CHD. Relevant prospective studies investigating the association between depression and CHD were retrieved from the PubMed, Embase, Web of Science search (up to April 2014) and from reviewing reference lists of obtained articles. Either a random-effects model or fixed-effects model was used to compute the pooled risk estimates when appropriate. Thirty prospective cohort studies with 40 independent reports met the inclusion criteria. These groups included 893,850 participants (59,062 CHD cases) during a follow-up duration ranging from 2 to 37 years. The pooled relative risks (RRs) were 1.30 (95% CI, 1.22-1.40) for CHD and 1.30 (95% CI, 1.18-1.44) for myocardial infarction (MI). In the subgroup analysis by follow-up duration, the RR of CHD was 1.36 (95% CI, 1.24-1.49) for less than 15 years follow-up, and 1.09 (95% CI, 0.96-1.23) for equal to or more than 15 years follow-up. Potential publication bias may exist, but correction for this bias using trim-and-fill method did not alter the combined risk estimate substantially. The results of our meta-analysis suggest that depression is independently associated with a significantly increased risk of CHD and MI, which may have implications for CHD etiological research and psychological medicine.

2 December 2019 in BMC Public Health
Verified
Journal Article
Open access
PDF file
YGYong Gan
Yong Gan
HJHeng Jiang
Heng Jiang
LLLiqing Li
Liqing Li
YYYudi Yang
Yudi Yang
CWChao Wang
Chao Wang
ZLZuxun Lu
Zuxun Lu
Background: High occupational burnout among general practitioners (GPs) is an important challenge to China’s efforts to strengthen its primary healthcare delivery; however, data to help understand this issue are unavailable. This study aimed to investigate the prevalence of burnout and associated factors among GPs. Methods: A cross-sectional design was used to collect data from December 12, 2014, to March 10, 2015, with a self-administered structured questionnaire from 1015 GPs (response rate, 85.6%) in Hubei Province, Central China. Burnout was measured using a 22-item Maslach Burnout Inventory-Human Services Survey (MBI-HSS). MBI-HSS scores and frequency were analyzed by the three dimensions of emotional exhaustion (EE), depersonalization (DP), and personal accomplishment (PA). Factors associated with burnout among GPs were estimated using a multiple linear regression model. Results: Of the respondents, 2.46% had a high level of burnout in all three dimensions, 24.83% reported high levels of EE, 6.21% scored high on DP, and 33.99% were at high risk of PA. GPs who were unmarried, had lower levels of job satisfaction, and had been exposed to workplace violence experienced higher levels of burnout. Intriguingly, no statistically significant associations were found between burnout and the duration of GP practice, age, sex, income, practice setting, and professional level. Conclusion: This is the first study of occupational burnout in Chinese general practice. Burnout is prevalent among GPs in Hubei, China. Interventions aimed at increasing job satisfaction, improving doctor-patient relationships and providing safer workplace environments may be promising strategies to reduce burnout among GPs in Hubei, China.

26 April 2023 in BMC Women's Health
Verified
Journal Article
Open access
PDF file
LLLiqing Li
Liqing Li
XSXin Shen
Xin Shen
GZGuohua Zeng
Guohua Zeng
HHHongwei Huang
Hongwei Huang
ZCZhensheng Chen
Zhensheng Chen
HLHonglang Li
Honglang Li
Background: Sexual violence is far more prevalent in most societies than is usually suspected in daily life. However, no study has systematically summarized the global prevalence rate and the major outcomes of sexual violence against women. Methods: We directed a wide-raging search in the PubMed, Embase, and Web of Science, catalogs since the beginning to December 2022 for relevant reports about the incidence of sexual fighting touching females. The occurrence frequency was assessed with a random-effects model. The heterogeneity was estimated with I2 values. Differences by research features were assessed over subgroup evaluation and meta-regression. Results: A total of 32 cross-sectional studies were included (a total of 19,125 participants). The pooled sexual violence rate was 0.29 (95% CI = 0.25–0.34). Subgroup analyses found that there was a higher rate of sexual violence against women in 2010–2019 period (0.33, 95% CI = 0.27–0.37), developing countries (0.32, 95% CI = 0.28–0.37), and interview (0.39, 95% CI = 0.29–0.49). The analysis found that more than half of women (0.56, 95% CI = 0.37–0.75) had post-traumatic stress disorder (PTSD) after experiencing sexual violence, and only a third of women considered seeking support (0.34, 95% CI = 0.13–0.55). Conclusions: Nearly one out of every three (29%) women around the world has been a victim of sexual violence in their life. This current study investigated the status and characteristics of sexual violence against women, which could provide an important reference for police and emergency health services management.

27 November 2019 in The International Journal of Health Planning and Management
Verified
Journal Article
Closed access
PDF file
YGYong Gan
Yong Gan
HJHeng Jiang
Heng Jiang
LLLiqing Li
Liqing Li
YYYudi Yang
Yudi Yang
CWChao Wang
Chao Wang
ZLZuxun Lu
Zuxun Lu

1 June 2021 in Frontiers in Psychology
Verified
Journal Article
Open access
PDF file
XZxiaogang zhou
xiaogang zhou
SCShuilin Chen
Shuilin Chen
LCLu Chen
Lu Chen
LLLiqing Li
Liqing Li
Happiness is the eternal pursuit of mankind and is also the ultimate goal of social governance and national development. Based on data from the Chinese General Social Survey, this study used a structural equation model to analyze the influence of social class identity and public service satisfaction on the happiness of residents. The effect of public service satisfaction and social trust between social class identity and residents’ happiness was tested using the Monte Carlo method. The empirical results show that social class identity, social trust, and public service satisfaction all had a significant positive impact on residents’ happiness. The influence coefficients of social class identity on the happiness of residents and on the satisfaction degree of public service for those born in the1970s group were greater than the 1980s and 1990s groups. The influence coefficients of social class identity on the happiness and public service satisfaction of non-agricultural household residents were greater than those of agricultural household residents. Therefore, to improve the happiness of residents, we should make new breakthroughs in the equality of quality and the quality of public services, promote the integration of urban and rural areas, highlight key areas of rural development, and increase the construction of basic public services for agricultural household residents.