1.Development of Traditional Chinese Medicine in India
Wenyi NIE ; Han SHI ; N. Rajendra GADHAVI ; Jingjing WEI ; Lanye HE ; Jing ZHAO ; Longhui YANG ; Kakit HUI ; Hongxin CAO
International Journal of Traditional Chinese Medicine 2021;43(1):12-16
India is a parliamentary republic country located in South Asian. Its medical and healthcare insurance is paid by the state government and it has the world’s largest "free medical" service system. India has a long history of traditional medicine (TM) represented mainly by Ayurveda, Naturopathy, Yoga etc. As early as the 2nd century BC, Traditional Chinese Medicine (TCM) was introduced to India along with religious exchanges and trade activities. At present, acupuncture has achieved independent legal status in India and there are many acupuncture clinics and associations. However, non-acupuncture TCM treatments lack development in India, but the application of acupuncture lacks of systematic standards.
2.A systematic review on blood biomarkers of neurocognitive disorders in HIV infected individuals.
Chinese Journal of Epidemiology 2018;39(9):1274-1280
Biomarkers are very useful in the diagnosis and identification of neurocognitive impairments (NCIs) or disorders (NCDs) in HIV-infected individuals, and in particular, blood biomarkers have become more promising because they are cheap and easy to obtain or accept. A systematically literature retrieval was conducted by using PubMed, CNKI, Wanfang and VIP databases for studies about blood biomarkers of neurocognitive impairment of HIV-infected individuals in 2008-2017, according to the inclusion and exclusion criteria. Finally, a total of 43 related articles were included for this systematic review for the purpose of providing scientific evidence for further research and clinical practices.
Adult
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Anti-Retroviral Agents/therapeutic use*
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Biomarkers/blood*
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Cognition Disorders/diagnosis*
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Female
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HIV Infections/drug therapy*
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Humans
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Neurocognitive Disorders/diagnosis*
3.Study on needling Ying method for treatment of sore throat.
Qiang XIE ; Xing-wei HE ; Bing-lin HUANG ; Bo TAO
Chinese Acupuncture & Moxibustion 2009;29(10):847-849
To explore the mechanism of needling Ying method for treatment of sore throat. By the analysis of pathogenesis of sore throat, the authors think the key of its pathogenesis is stagnation of pathogenic factors such as hotness and phlegm accumulating, and meridian-vessel obstruction in the throat is its meridian foundation. There are several meridians passing through the throat, so the throat is closely related to viscera and meridians, and stagnation of pathogenic factors such as hotness and phlegm accumulating in the throat lead to sore throat when exogenous pathogenic factors invading or dysfunction of viscera and meridians. The treatment of needling Ying at local throat or combined with corresponding meridian point selection can dredge collaterals, dispel pathogenic factors, remove pathogenic factors to dispel swelling, resolve phlegm and dissipate stagnation and harmonize yin and yang, so as to relieve sore throat. In conclusion, needling Ying method is an important method in the treatment of sore throat.
Acupuncture Therapy
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methods
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Bloodletting
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Humans
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Meridians
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Needles
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Pharyngitis
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etiology
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therapy
;
Yin-Yang
4.Prevalence of alcohol drinking in males aged 20-79 years in China, 2012.
Y H FANG ; Y N HE ; G Y BAI ; W H ZHAO
Chinese Journal of Epidemiology 2018;39(3):280-285
Objective: To understand the prevalence of alcohol drinking in 20-79 years old males with different educational backgrounds and smoking behaviors in different areas of China. Methods: A multi-stage cluster random sampling survey was conducted in 150 surveillance sites in 2010-2012 Chinese nutrition and health surveillance in China. At least 1 000 subjects were selected in each surveillance site. Alcohol drinking prevalence and pattern information were collected by using personal health and food frequency questionnaire in face to face interviews. Results: A total of 60 791 males aged 20-79 years were surveyed. The prevalence of alcohol drinking was 57.8% (58.3% in rural area, 57.3% in urban area). The mean daily alcohol intake level was 32.7 g (33.3 g in rural area, 32.1 g in urban area). The rate of almost drinking every day and daily alcohol intake level were highest among males aged 50-59 years. Mean daily alcohol intake level, rate of almost drinking every day and excessive drinking decreased with the increase of education level. Non-smokers had higher rate of never drinking and lower prevalence of drinking and excessive drinking, lower mean daily alcohol intake level, and lower rate of almost drinking every day compared with current and past smokers. Conclusions: Alcohol drinking was common in males aged 20-79 years in China, and, the difference was not obvious between rural residents and urban residents. The differences in daily intake level of different alcohol drinks among males with different characteristics had certain significance. Significant difference in excessive drinking was found among different age groups, those with different education levels and those with different smoking history.
Adult
;
Aged
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Alcohol Drinking/epidemiology*
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Asian People
;
China/epidemiology*
;
Cross-Sectional Studies
;
Humans
;
Male
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Middle Aged
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Prevalence
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Rural Population
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Smoking/epidemiology*
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Socioeconomic Factors
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Surveys and Questionnaires
5.Prevalence of alcohol drinking and influencing factors in female adults in China, 2010-2012.
Y H FANG ; Y N HE ; G Y BAI ; W H ZHAO
Chinese Journal of Epidemiology 2018;39(11):1432-1437
Objective: To understand the prevalence of alcohol drinking and influencing factors in female adults in China. Methods: At the 150 survey sites where 2010-2012 Chinese nutrition and health surveillance was conducted, a face to face questionnaire survey was conducted in female adults selected through multi-stage stratified cluster random sampling. Sample weights was assigned to each participant based on the study design by using national population census data in 2009. The complex sampling and unconditional multivariate logistics regression analysis was conducted to identify the influencing factors for the prevalence of alcohol drinking in the female adults. Results: A total of 75 518 participants were included in this study. The prevalence of drinking in female adults was 13.9% (95%CI: 11.7-16.2) in urban area and 13.3% (95%CI: 9.4-17.2) in rural area. The prevalence of frequent drinking was 13.9% (95%CI: 9.9-17.9) in women in urban area and 14.2% (95%CI: 10.8-17.6) in women in rural area. The prevalence of excessive drinking was 11.1% (95%CI: 7.5-14.8) in women in urban area and 12.8% (95%CI: 9.1-16.4) in women in rural area. The prevalence of wine drinking in women in urban area was significantly higher than in women in rural and had positive correlation with income and education levels. The social and economic factors influencing drinking behavior of the female adults included occupation, drinking behaviors of family members and smoking behavior. Those who were engaged in agriculture, production and transportation (OR=0.72, 95%CI: 0.56-0.94, P=0.016), housework (OR=0.59, 95%CI: 0.44-0.78, P<0.001) and other work (OR=0.61, 95%CI: 0.43-0.85, P=0.004) had lower drinking prevalence. Whereas those whose family members had drinking behavior (OR=2.66, 95%CI: 2.17-3.26, P<0.001) and those who were current smokers (OR=4.32, 95%CI: 2.95-6.34, P<0.01) had higher drinking prevalence. Conclusions: The prevalence of drinking, frequent alcohol drinking and excessive drinking were relatively low in female adults in China. Occupation, drinking behaviors of family members and smoking behavior were the main factors influencing the prevalence drinking behavior in female adults in China.
Adult
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Alcohol Drinking/epidemiology*
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Asian People
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China/epidemiology*
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Cross-Sectional Studies
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Female
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Humans
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Prevalence
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Risk Factors
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Rural Population
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Sex Distribution
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Urban Population
6.cAMP response-element binding protein participates in the phosphorylated extracellular signal-regulate kinase mediated neuropathic pain.
Xue-Song SONG ; Yan-Bing XU ; Jun-Li CAO ; Jian-Hua HE ; Li-Cai ZHANG ; Yin-Ming ZENG
Acta Physiologica Sinica 2005;57(2):139-146
It has been reported that extracellular signal-regulate kinase (ERK) is involved in the modulation of nociceptive information and central sensitization produced by intense noxious stimuli and/or peripheral tissue inflammation. Few studies have explored the relationship between ERK and cAMP response-element binding protein (CREB) in neuropathic pain after nerve injury, such as chronic constriction injury (CCI) of the sciatic nerve. In the present study, CCI model was employed to investigate the activation of ERK on the expression of phosphorylated CREB (pCREB) in chronic neuropathic pain. Lumbar intrathecal catheters were chronically implanted in male Sprague-Dawley rats. The left sciatic nerve was loosely ligated proximal to the sciatica's trifurcation at around 1.0- mm intervals with 4-0 silk suture. Mitogen-activated protein kinase kinase (MEK) inhibitor U0126 and phosphorothioate-modified antisense oligonucleotides (ODN) were intrathecally administered one day before and three consecutive days after CCI. Thermal and mechanical nociceptive thresholds were assessed with the paw withdrawal lantency (PWL) to radiant heat and von Frey filaments respectively. The expression of pCREB and Fos were assessed by both Western blot and immunohistochemical analysis. The results showed that intrathecal injection of U0126 or ERK antisense ODN attenuated significantly CCI-induced mechanical and thermal hyperalgesia. Correlating with behavior results, the injection also markedly suppressed the increase of CCI-induced pCREB and c-Fos expression. The results obtained suggest that CREB participates in the pERK-mediated neuropathic pain.
Animals
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Cyclic AMP Response Element-Binding Protein
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metabolism
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physiology
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Extracellular Signal-Regulated MAP Kinases
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metabolism
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physiology
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Male
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Pain
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etiology
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metabolism
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physiopathology
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Phosphorylation
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Random Allocation
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Rats
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Rats, Sprague-Dawley
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Sciatic Neuropathy
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metabolism
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physiopathology
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Spinal Cord
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metabolism
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physiopathology
7.Relationship between meat consumption and metabolic syndrome in adults in China.
Y N HE ; W H ZHAO ; G Y BAI ; Y H FANG ; J ZHANG ; X G YANG ; G G DING
Chinese Journal of Epidemiology 2018;39(7):892-897
Objective: To explore the relationship between meat consumption and metabolic syndrome (MS) in Chinese adults aged ≥18 years. Methods: The data were obtained from 2010- 2012 National Nutrition and Health Survey. A total of 34 923 subjects who completed the dietary survey, the physical examination and had the testing results of blood sugar and blood lipid levels were enrolled in this study. MS was defined according to the diagnostic criteria of China Diabetes Society 2013. The prevalence ratios of MS and each form of MS and related 95%CI were calculated after post stratification weight according to the population data (2009) released by the national bureau of statistics. Results: The average meat intake among subjects was 94.8 g/d. People who had meat consumption between 100 g/d and 199 g/d had the lowest prevalence of MS, abdominal obesity and hyperglycemia. As the meat consumption increased, the prevalence of MS in men increased. Men who had meat consumption of ≥300 g/d had a higher risk of MS than those who had low level of meat consumption, with prevalence ratio equaled to 1.46 (95%CI: 1.14~1.87). Similar trend was not observed in women. Conclusion: Moderate intake of meat is associated with reduced risk of MS in Chinese adults.
Adolescent
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Adult
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China/epidemiology*
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Diet
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Female
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Humans
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Male
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Meat
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Metabolic Syndrome/ethnology*
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Obesity, Abdominal/ethnology*
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Prevalence
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Risk Factors
8.The drinking status and associated factors in adults in China.
Y R LI ; J WANG ; L Y ZHAO ; Z H WANG ; D M YU ; Y N HE ; G G DING
Chinese Journal of Epidemiology 2018;39(7):898-903
Objective: To investigate the drinking status and associated factors in adults in China. Methods: Based on the 2010-2012 China National Nutrition and Health Survey (CNNHS), a total of 135 824 participants aged ≥18 were included in this cross-sectional analysis. Multivariable logistic regression model was used to investigate the associated factors for drinking status. Results: The overall drinking rate was 30.5% in Chinese adults, 53.8% in men, and 12.2% in women. The excessive drinking rate was 14.0% in men and 1.1% in women. The daily drinking rate was 25.7% in men and 10.9% in women. Men mainly consumed multi-type wines, but women preferred beer. The overall harmful drinking rate was 7.1%. The excessive drinking rate, daily drinking rate, and harmful drinking rate increased first but then declined with age. All the four rates were positively related with physical activity. Conclusions: The drinking rate, excessive drinking rate, daily drinking rate and harmful drinking rate were high in adults in China. Drinking status was associated with age, sex, marital status, education level, smoking status and physical activity.
Adult
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Alcohol Drinking/epidemiology*
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Alcoholism/epidemiology*
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Asian People/statistics & numerical data*
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China/epidemiology*
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Cross-Sectional Studies
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Female
;
Humans
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Male
;
Smoking/epidemiology*
9.Causality in objective world: Directed Acyclic Graphs-based structural parsing.
Chinese Journal of Epidemiology 2018;39(1):90-93
The overall details of causality frames in the objective world remain obscure, which poses difficulty for causality research. Based on the temporality of cause and effect, the objective world is divided into three time zones and two time points, in which the causal relationships of the variables are parsed by using Directed Acyclic Graphs (DAGs). Causal DAGs of the world (or causal web) is composed of two parts. One is basic or core to the whole DAGs, formed by the combination of any one variable originating from each time unit mentioned above. Cause effect is affected by the confounding only. The other is an internal DAGs within each time unit representing a parent-child or ancestor-descendant relationship, which exhibits a structure similar to the confounding. This paper summarizes the construction of causality frames for objective world research (causal DAGs), and clarify a structural basis for the control of the confounding in effect estimate.
Causality
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Computer Graphics
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Confounding Factors, Epidemiologic
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Data Interpretation, Statistical
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Epidemiologic Methods
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Humans
10.Prevalence of biomass fuel exposure in women aged 40 years and older in China, 2014.
Y Z HE ; H L BAO ; Y J FENG ; S CONG ; J FAN ; N WANG ; B H WANG ; L W FANG
Chinese Journal of Epidemiology 2018;39(5):574-579
Objective: To understand the prevalence of biomass fuel exposure in women aged ≥40 years in China during 2014-2015, and provide evidence for the prevention and control of bio-fuel exposure. Methods: All participants were selected from a national representative cross-sectional survey during 2014-2015 in the mainland of China. A multi-stage stratified cluster sampling strategy was used. A total of 37 795 women aged ≥40 years received a face-to-face questionnaire survey at 125 surveillance points in 31 provinces. The level of biomass fuel exposure was analyzed after complex sample weighting to represent the overall Chinese women aged ≥40 years. Results: A total of 37 777 women were included in the analysis. With complex weighting, the rate of biomass fuel exposure in Chinese women aged ≥40 years was 35.8% (95%CI: 29.6%-42.1%), the exposure rate was higher in rural women than in urban women (P<0.001). The biomass fuel exposure rate was highest in northeastern and lowest in northern areas of China (χ(2)=17.03, P=0.009). The estimated biomass fuel exposure rate decreased with the increase of educational level (P<0.001). Conclusion: The prevalence of biomass fuel exposure is high in women aged ≥40 years in China, especially in those in rural areas. The exposure level differs with age and area. Appropriate measures should be taken to reduce the level of biomass fuel exposure in Chinese women.
Adult
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Aged
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Air Pollutants/toxicity*
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Air Pollution, Indoor/statistics & numerical data*
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Asian People
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Biomass
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China/epidemiology*
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Cooking/methods*
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Cross-Sectional Studies
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Female
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Fossil Fuels/toxicity*
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Humans
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Inhalation Exposure/statistics & numerical data*
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Middle Aged
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Prevalence
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Risk Factors
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Rural Population
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Surveys and Questionnaires