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1.
Chinese Journal of Integrated Traditional and Western Medicine ; (12): 568-571, 2015.
Article in Chinese | WPRIM | ID: wpr-297383

ABSTRACT

<p><b>OBJECTIVE</b>To explore the scientificity of Yunqi theory based on incidence of disease related recognitions such as year evolutive phase, host climatic qi, six climatic factors, celestial manager qi, qi in the earth by analyzing data of hypertension incidence.</p><p><b>METHODS</b>A total of 1,265 inpatients with confirmed first diagnosis as hypertension were recruited at Dongzhimen Hospital, Beijing University of Chinese Medicine from February 4, 1999 to February 4, 2011. Each period (including year evolutive phase, host climatic qi, guest climatic qi) was deducted based on Yun-qi theory. Their ratios of different phases and qi in the total number of hypertension inpatients number were calculated and statistically tested.</p><p><b>RESULTS</b>There was statistical difference in ratios at year evolutive phase, celestial manager qi, and qi in the earth (P < 0.05).</p><p><b>CONCLUSION</b>The incidence of hypertension has certain difference in each period, which is consistent with Yun-qi theory.</p>


Subject(s)
Humans , Beijing , Epidemiology , Hypertension , Epidemiology , Incidence , Medicine, Chinese Traditional , Qi , Research
2.
Chinese journal of integrative medicine ; (12): 182-186, 2013.
Article in English | WPRIM | ID: wpr-347134

ABSTRACT

<p><b>OBJECTIVE</b>To explore the impact of meteorological factors on the outbreak of bacillary dysentery, so as to provide suggestions for disease prevention.</p><p><b>METHODS</b>Based on the Chinese medicine theory of Yunqi, the descriptive statistics, single-factor correlation analysis and back-propagation artificial neural net-work were conducted using data on five basic meteorological factors and data on incidence of bacillary dysentery in Beijing, China, for the period 1970-2004.</p><p><b>RESULTS</b>The incidence of bacillary dysentery showed significant positive correlation relationship with the precipitation, relative humidity, vapor pressure, and temperature, respectively. The incidence of bacillary dysentery showed a negatively correlated relationship with the wind speed and the change trend of average wind speed. The results of medical-meteorological forecast model showed a relatively high accuracy rate.</p><p><b>CONCLUSIONS</b>There is a close relationship between the meteorological factors and the incidence of bacillary dysentery, but the contributions of which to the onset of bacillary dysentery are different to each other.</p>


Subject(s)
Humans , China , Epidemiology , Dysentery, Bacillary , Epidemiology , Forecasting , Incidence , Medicine, Chinese Traditional , Meteorological Concepts , Models, Theoretical , Statistics as Topic
3.
Chinese Journal of Integrated Traditional and Western Medicine ; (12): 338-342, 2013.
Article in Chinese | WPRIM | ID: wpr-355536

ABSTRACT

<p><b>OBJECTIVE</b>To explore the onset cycle of scarlet fever in Beijing and its association with theory of five evolutive phases and six climatic factors (FEPSCF).</p><p><b>METHODS</b>Based on the monthly scarlet fever data from 1970 to 2004, Complex Morlet wavelet was adopted to analyze the annual incidence and the incidence of six climatic factors in the past 35 years. Its association with the cycles of FEP-SCF was explored. The features of heavenly stems and earthly branches in the year that the wave peak corresponded and their correlations with doctrine of FEPSCF were analyzed.</p><p><b>RESULTS</b>The annual incidence of scarlet fever and the incidence of FEPSCF had two main cycles, i.e., 5 years and 28 years. The 5-year primary cycle was consistent with 5-year cycle of FEPSCF theory. The high incidence year of 5-year primary cycle was Jinyun.</p><p><b>CONCLUSIONS</b>The cycle of five evolutive phases was consistent with the onset cycle of scarlet fever. The quasi-periodic phenomenon and multi-cycle superimposed phenomenon of FEPSCF theory existed in the incidence of scarlet fever.</p>


Subject(s)
Humans , China , Epidemiology , Climate , Incidence , Medicine, Chinese Traditional , Scarlet Fever , Diagnosis , Epidemiology , Wavelet Analysis
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