ABSTRACT
Objective To study the epidemiological features of hand， foot， and mouth disease （HFMD） in Minhang District of Shanghai and to explore the possible effects of meteorological factors on the onset of HFMD， aiming to provide a reference for the prevention and control of HFMD. Methods The incidence data of HFMD in Minhang District from 2014 to 2018 were collected for descriptive analysis. The data of meteorological factors that might affect HFMD were analyzed by Pearson analysis and multiple linear stepwise regression. Results The average incidence rate of HFMD in Minhang District from 2014 to 2018 was 271.51 per 100 000. The incidence of Huacao， Pujiang and Maqiao community were the highest. The incidence of HFMD in males was higher than in females and the 0‒5 age group had the largest number of cases， mainly in scattered children and children in kindergartens. The results of multiple linear stepwise regression analysis showed that the incidence of HFMD was negatively correlated with the weekly average air pressure （ b =-4.32， P =0.004）， and was positively correlated with the weekly minimum temperature （ b =2.62， P =0.040） and the weekly average relative humidity （ b =1.71， P =0.010）. The correlation with weekly average temperature， weekly maximum temperature， weekly precipitation， weekly average air pressure and weekly average water vapor pressure was not significant. Conclusion Meteorological factors in Minhang District of Shanghai are closely related to the occurrence of HFMD. Comprehensive measures should be taken to prevent and control HFMD.
ABSTRACT
Objective To study the epidemiological features of hand， foot， and mouth disease （HFMD） in Minhang District of Shanghai and to explore the possible effects of meteorological factors on the onset of HFMD， aiming to provide a reference for the prevention and control of HFMD. Methods The incidence data of HFMD in Minhang District from 2014 to 2018 were collected for descriptive analysis. The data of meteorological factors that might affect HFMD were analyzed by Pearson analysis and multiple linear stepwise regression. Results The average incidence rate of HFMD in Minhang District from 2014 to 2018 was 271.51 per 100 000. The incidence of Huacao， Pujiang and Maqiao community were the highest. The incidence of HFMD in males was higher than in females and the 0‒5 age group had the largest number of cases， mainly in scattered children and children in kindergartens. The results of multiple linear stepwise regression analysis showed that the incidence of HFMD was negatively correlated with the weekly average air pressure （ b =-4.32， P =0.004）， and was positively correlated with the weekly minimum temperature （ b =2.62， P =0.040） and the weekly average relative humidity （ b =1.71， P =0.010）. The correlation with weekly average temperature， weekly maximum temperature， weekly precipitation， weekly average air pressure and weekly average water vapor pressure was not significant. Conclusion Meteorological factors in Minhang District of Shanghai are closely related to the occurrence of HFMD. Comprehensive measures should be taken to prevent and control HFMD.
ABSTRACT
Objective To study the factors affecting the activities of daily life (AOL) of patients after the first stroke of cerebral infarction in order to formulate the intervention strategy for improving the capability of ADL of patients. Method A total of 149 patients with the first stroke of cerebral infarction admitted from Oct. 2008 to Dec.2008 were enrolled in this study. The demographics of patients, cerebral infarction risk factors, apopletic score as per National Institute of Health stroke scale (NIHSS), white blood cell count (WBC) and plasma glucose (PG) were recorded on the first day of admission, and many other laboratory examinations were done on the next morning. The occurrences of infection in lung and urinary tract, and atrial fibrillation were recorded during hospi-talization. The NIHSS score and score of Glasgow Coma Scale (GCS) were taken within 24 hours after admission, on the 14th day and at the end of the third month after cerebral infarction respectively. Barthel index (BI) was taken in the second week as well as at the end of third month by follow-up in the OPD or by telephone. The correlation analysis and multiple linear stepwise regression analysis were used to find the risk factors. Results The PG level, WBC count and NIHSS score were independently associated with ADL in the second week as well as at the end of the third month after cerebral infarction. Besides, the urinary tract infection during hospital stay was also independently associated with ADL at the end of the third month after cerebral infarction. Conclusions The plasma glucose level, WBC count, NIHSS score and urinary tract infection are the risk factors. Positive measures should be taken to control these risk factors so as to improve the capability of ADL of the patients after cerebral infarction.