1.Personal characteristics of paradoxical insomnia: A case-control study
Jingping LIAO ; Shichao ZHU ; Qi ZHANG ; Dingxi WANG ; Xiaolin LI
Journal of Central South University(Medical Sciences) 2017;42(8):958-965
Objective:To compare the personal characteristics between the patients with paradoxical insomnia and the patients with primary insomnia or the normal sleepers.Methods:A case-control study with the proportion at 1∶1∶1 was carried out.The patients with paradoxical insomnia were diagnosed in Sleep Medicine Center of West China Hospital of Sichuan University between March 2013 and December 2013.A case of paradoxical insomnia was matched with two controls:a primary insomnia patient and a normal sleeper.A total of 63 matched cases were collected.A face-to-face survey was conducted by using the following scales:General Data Scale and Eysenck Personality Questionnaire (EPQ).Results:The average scores of psychoticism,extraversion,and neuroticism for paradoxical insomnia cases were (52.1±10.2),(49.6±9.8),and (56.0±12.0),respectively.In general,31.7% of paradoxical insomnia patients had psychoticism or psychoticism tendency in their personality,which were more obvious than those in primary insomnia patients (7.9%) (x2=l 1.228,p<0.0125) and normal sleepers (0) (X2=23.774,P<0.0125).Moreover,19.0% of paradoxical insomnia patients had extroversion or extroversion tendency in their personality,which were more significant than those in primary insomnia patients (3.2%) (Z=-4.047,P<0.0125) but less obvious than those in normal sleepers (60.3%) (Z=-4.754,P<0.0125).Also,46.0% of paradoxical insomnia patients had neuroticism or neuroticism tendency in their personality,which were more significant than those in normal sleepers (0) (x2=37.670,P<0.0125) but similar to those in primary insomnia patients (52.4%) (x2=0.508,P>0.0125).Conclusion:The personal characteristics for paradoxical insomnia patients did not reached obviously abnormal level.However,their psychoticism tendency,extroversion tendency and neuroticism tendency needed to be paid attention.
2.HIV-infection related behaviors and preventive measures among unmarried youths from the rural areas in Liangshan prefecture, 2011-2013
Suhua ZHANG ; Min LUO ; Shujuan YANG ; Qiang LIAO ; Qixing WANG ; Gang YU ; Lin XIAO ; Yuhan GONG ; Ke WANG ; Ju WANG ; Shichao BIAN ; Qian LIU
Chinese Journal of Epidemiology 2017;38(4):486-490
Objective To analyze the HIV-infection related behaviors among unmarried youths in rural areas of Liangshan prefecture from 2011 to 2013 and factors that influencing the HIV transmission in the population under research.Methods According to the HIV sentinel surveillance methods for data collection,EpiData 3.1 and SPSS 19.0 were used to handle data and both Chi-square test and logistic regression were used to explore the related factors.Results A total number of 5 871 qualified youths were involved in this study from 2011 to 2013 with the prevalence rate on HIV infection among those unmarried youths from the rural areas as 3.45% (201/5 833).27.56% (1 607/ 5 833) of them had been working outside their hometown area.31.72% (1 850/5 833) of the unmarried youths had sexual experiences,with 41.46% (767/1 850) of them had casual sex but the rate of consistent condom use was only 3.46% (64/1 850).5.04% (294/5 833) of the unmarried youths admitted of ever having used drugs,with 34.35% (101/294) of them having the experiences of injecting,with 84.16% (85/101) of them sharing needles.Rates on factors as:working outside the resident areas,ever having had casual sexual behaviors,drug use and injecting drug use were seen higher among HIV infections,with differences statistically significant (X2=88.72,104.43,4.20,154.39,55.94,P<0.05).Results from the logistic regression showed that factors as:being male,Yi ethnicity,illiteracy,experience of working outside the resident area,never or casual condom use and needle-sharing drug use etc.would significantly increase the risk of HIV infection.Conclusions HIV infection among unmarried youths from rural areas in Liangshan prefecture called for attention because of the high rates of risk behaviors.Factors as:having had sexual experiences with low condom use,popular injecting drug use with needle sharing,being male,under Yi ethnicity,with lower education level and ever working outside the resident area etc.were under risks that related to HIV infection for unmarried youths in this area.
3.Data analysis on HIV/AIDS sentinel surveillance programs targeting community population in Liangshan Yi Autonomous Prefecture, 2010-2015
Yongna YAO ; Shujuan YANG ; Qixing WANG ; Gang YU ; Qiang LIAO ; Lin XIAO ; Yuhan GONG ; Ke WANG ; Suhua ZHANG ; Wenwen ZHAI ; Jianxin ZHANG ; Ju WANG ; Shichao BIAN ; Qian LIU
Chinese Journal of Epidemiology 2017;38(8):1102-1106
Objective To investigate the epidemiologic and behavioral characteristics of HIV among community population in Liangshan prefecture.Methods We collected social demographic,behavioral and serological information by means of the monitoring questionnaire and serological tests.Data was analyzed by using the chi-square test and logistic regression.Results From April to June of 2010 to 2015,14 092 cases of community population were selected as the study objects,with 267 cases diagnosed as HIV positive patients.The HIV positive rates were 3.24%,3.07%,1.17%,1.38%,1.42% and 1.25%,respectively.We observed that when community population having the following characteristics as:living in Butuo country (OR=3.83),being males (OR=1.77),being Yi nationality (OR=4.40) being widowed (OR=28.57),with history of drug abuse (OR=3.71) or injecting drug use (PWID) (OR=4.92),or history of needle sharing among PWID (OR=8.53),were under higher risks for HIV infection.With histories as:having had secondary or above levels of schooling (OR=0.59),having protected sex with regular parmers (OR =0.21) and with non-regular partners (OR =0.46),they seemed to be somehow protected for getting HIV infection.Conclusion The positive HIV rates of HIV among community population in Dechang,Ningnan and Butuo varied from 0.10% to 8.77%while the HIV transmission among general population remained challenging.
4.Visualization analysis of domestic violence research based on Web of Science database
Yijun YUAN ; Maorong HU ; Yong HAN ; Shichao LIAO ; Haoyu YANG
Sichuan Mental Health 2022;35(2):165-170
ObjectiveTo understand the current status and development of research on the subject of domestic violence, and to grasp the main research hotspots in the field. MethodsThe literature in the core database of Web of Science were retrieved, and 20 417 literature related to domestic violence from January 1966 to September 2021 were sorted by using the CiteSpace software, and the number of literature, authors, research institutions and keywords were analyzed. Results①The volume of literature on domestic violence grown rapidly since 2015. ②Among the authors, Kelsey Hegarty, Gene Feder and others had large number of publications on domestic violence, moreover, the authors' cooperation formed some small collaborative groups and research groups of a certain scale. ③The research institutions were closely collaborating, among which University of North Carolina was the institution of highest number of publications, and Boston University was the institution with the strongest research centrality. ④Hot keywords kept developing and changing, and the current hot keywords were mainly dating violence, sexual violence and the perception and perpetration of domestic violence. ConclusionThe field of domestic violence has been studied by a large number of researchers and has given rise to many research hotspots.
5.Prediction of the anti-inflammatory mechanisms of curcumin by module-based protein interaction network analysis.
Yanxiong GAN ; Shichao ZHENG ; Jan P A BAAK ; Silei ZHAO ; Yongfeng ZHENG ; Nini LUO ; Wan LIAO ; Chaomei FU
Acta Pharmaceutica Sinica B 2015;5(6):590-595
Curcumin, the medically active component from Curcuma longa (Turmeric), is widely used to treat inflammatory diseases. Protein interaction network (PIN) analysis was used to predict its mechanisms of molecular action. Targets of curcumin were obtained based on ChEMBL and STITCH databases. Protein-protein interactions (PPIs) were extracted from the String database. The PIN of curcumin was constructed by Cytoscape and the function modules identified by gene ontology (GO) enrichment analysis based on molecular complex detection (MCODE). A PIN of curcumin with 482 nodes and 1688 interactions was constructed, which has scale-free, small world and modular properties. Based on analysis of these function modules, the mechanism of curcumin is proposed. Two modules were found to be intimately associated with inflammation. With function modules analysis, the anti-inflammatory effects of curcumin were related to SMAD, ERG and mediation by the TLR family. TLR9 may be a potential target of curcumin to treat inflammation.