1.Factors influencing quality of life of the elderly living at a nursing home of Shanghai
Chinese Journal of Health Management 2012;(6):389-393
Objective To investigate the quality of life of the elderly living at a nursing home and its influencing factors.Methods One hundred and sixty elderly living at one nursing home of Shanghai completed 36-item Short Form (SF-36) Health Survey,Social Support Rate Scale,Geriatric Depression Scale (GDS) and UCLA Loneliness Scale (UCLA-LS) to evaluate the factors that influenced the quality of life and the relationship between quality of life,social support,depression and loneliness in December of 2011.Results The mean age of the elderly was (82.0 ± 8.8).The polynary linear step-wise regression analysis showed that physical function of the elderly was mainly influenced by having children or not,frequency of physical activity and self-assessment of health condition.Role-physical,social function,vitality and role-emotional of the elderly were mainly influenced by age,frequency of physical activity and selfassessment of health condition.Bodily pain of the elderly was mainly influenced by sex and self-assessment of health condition.General health of the elderly was mainly influenced by age,frequency of physical activity,chronic diseases,and self-assessment of health condition.Mental health of the elderly was mainly influenced by age,living status,frequency of physical activity and self-assessment of health condition.Subjective support was positively related to role-emotional and mental health.However,the life quality of the elderly was positively correlated with objective support,utilization of support,total score of social support and each dimension of SF-36.The depression and loneliness of the elderly were negtively related to each dimension of SF-36.Conclusions Multiple factors may influence the quality of life of the elderly.The whole society and family members should make concern and set up better environment to for the elderly.
2.Analysis and discrimination on incorrect cases in medical statistics teaching
Rui WANG ; Yanfang ZHAO ; Xiuqiang MA ; Jian LU ; Jia HE
Chinese Journal of Medical Education Research 2012;11(6):614-616
Analyzing and discriminating incorrect cases is a good method in medical statistics teaching,which can not only help students review the knowledge they have learned but also guide their self-learning.Teachers can start teaching based on the reverse thinking,propose incorrect cases with moderate difficulty and in accordance with the reality and arouse students' creativity through introducing the incorrect cases,reviewing the incorrect cases and conducting group discussion.
3.Research on cognition of basic methods of scientific research design in medical postgraduates of 2011
Yanfang ZHAO ; Xiuqiang MA ; Meijing WU ; Jian LU ; Hong MENG ; Xiaojing GUO ; Jinfang XU ; Jia HE
Chinese Journal of Medical Education Research 2012;11(3):299-301
ObjectiveTo assess the current situation of postgraduates knowledge about medical research design and optimize the curriculum setting of research design.MethodsAn investigation was carried out in the postgraduates of 2011 using questionnaires in a medical university..The questionnaire ineluded basic information of participants and cognition of basic methods of research design.ResultsA total of 473 postgraduates participated in the investigation.Among them,311 systematically learned medical statistics before enrollment,and 275 ( 58.14% ) once participated in scientific researches.Most of them ( >80% ) knew about the 10 basic methods of research design listed in the questionnaire,but only a few of them were familiar with them,and some even didn't know about the methods.ConclusionWe should pay attention to the culture of scientific research thought in statistical design,strengthen the practice of research design teaching,and the curriculum of research design should be led into undergraduate course.
4.Effects of problem-based learning in medical statistics in China:a systematic review and Meta analysis
Xiaojing GUO ; Yanfang ZHAO ; Cheng WU ; Xiuqiang MA ; Xiaofei YE ; Jinfang XU ; Jia HE
Chinese Journal of Medical Education Research 2014;(1):26-30
Objective To evaluate the effect of problem-based learning (PBL)versus tradi-tional methods in medical statistics. Methods Computer retrieval was conducted to search for con-trolled studies comparing PBL and traditional methods. The quality of included studies was critically evaluated and data were analyzed by using the Cochrane Collaboration's RevMan 5.0 software. Results A total of 21 articles were retrieved,but only 7 were included. The results of Meta analysis showed that there was no significant difference between PBL and traditional methods in both the passing rate of student's score (RR=1.09,95%CI=0.98-1.23,P=0.12>0.05)and the exact score (WMD=0.30, 95%CI=-0.06 -0.67,P=0.10>0.05). Conclusion PBL showed no better learning results in medical statistics compared with traditional methods.
5.Association Between Excessive Daytime Sleepiness and Functional Gastrointestinal Disorders: A Population-based Study in China.
Sicheng WU ; Shuqi CHEN ; Yanfang ZHAO ; Xiuqiang MA ; Rui WANG ; Jia HE
Journal of Neurogastroenterology and Motility 2017;23(2):298-305
BACKGROUND/AIMS: Several studies have demonstrated that sleep problems are associated with functional gastrointestinal disorders (FGIDs): irritable bowel syndrome (IBS), functional dyspepsia, etc, but the relationship between excessive daytime sleepiness (EDS) and FGIDs has not been systematically studied in the general population. This study aims to explore the relationship between EDS and specific types of FGIDs and the effect of the number of FGIDs on EDS. METHODS: A sample of 3600 individuals (aged 18–80 years) was selected from 5 regions in China using a randomized, stratified, multi-stage sampling method. EDS was measured by the Epworth Sleepiness Scale, while gastroesophageal reflux disease (GERD) and other FGIDs were assessed by Reflux Disease Questionnaire and the Rome II diagnostic criteria, respectively. RESULTS: The survey was completed by 2906 individuals (response rate: 80.72%), and 644 individuals (22.16%) had EDS. EDS was significantly associated with ulcer-like dyspepsia (OR, 2.50; 95% CI, 1.08–5.79), diarrhea-predominant IBS (OR, 2.00; 95% CI, 1.09–3.66), alternating IBS (OR, 2.32; 95% CI, 1.30–4.13), functional constipation (OR, 1.68; 95% CI, 1.20–2.35), and GERD (OR, 1.72; 95% CI, 1.08–2.72). Risk of EDS increased along with the increasing numbers of FGIDs: with 1 FGID (OR, 1.72; 95% CI, 1.37–2.15); with 2 FGIDs (OR, 2.43; 95% CI, 1.63–3.62); and with 3 or more FGIDs (OR, 3.26; 95% CI, 1.37–7.78). CONCLUSIONS: FGIDs, such as ulcer-like dyspepsia, diarrhea-predominant IBS, alternating IBS, functional constipation, and GERD, were significantly associated with EDS. Those who suffered from more kinds of FGIDs were more susceptible to EDS.
China*
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Constipation
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Disorders of Excessive Somnolence
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Dyspepsia
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Epidemiology
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Gastroesophageal Reflux
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Gastrointestinal Diseases*
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Irritable Bowel Syndrome
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Methods