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Objective@#To investigate the incidence of abnormal spinal curvature and related factors in primary and secondary school students in the Hongkou District of Shanghai, so as to provide evidence for abnormal spinal curvature prevention and treatment.@*Methods@#Using a stratified cluster random sampling method, 1 884 students of grade 4 to grade 12 from seven schools were investigated via questionnaires for abnormal spinal curvature in Hongkou District.@*Results@#The detectable rate of abnormal spinal curvature was 7.2%, The detectable rate of abnormal spinal curvature increased with increasing age(P<0.01): senior high school (15.7%) > vocational high school (8.1%) > junior high school (3.4%) > primary school(1.8%)(χ 2=91.24, P<0.01). The detectable rate of spinal curvature among female students was 8.6%, which was higher than that among male students(5.9%), and the difference was significant(χ 2=5.27, P<0.05). Multivariate Logistic regression analysis showed that the factors influencing abnormal spinal curvature included phase of studying, nutritional status and time spent engaged in outdoor activities every day(P<0.05).@*Conclusion@#Abnormal spinal curvature is one of the common conditions that endangers the health of children and adolescents. The collaboration of the school, students and parents is required to strengthen screening and prevention.
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Objective@#To establish a prediction model for infectious disease index（IDI）by autoregressive integrated moving average（ARIMA）,and to provide forcast of infectious diseases to the public. @*Methods@#The data of the percentage of influenza-like illness（ILI）,the incidence rates of hand-foot-mouth disease（HFMD）and other infectious diarrhea（OID）from the 1st week of 2014 to the 14th week of 2018,and Breteau index（BI）from the 1st week of 2016 to the 14th week of 2018 were collected. ARIMA models were built to predict the risk indicators of ILI,HFMD,OID and BI. The weights of the four indicators were evaluated seasonally by the entropy weight method. Then the IDI was calculated and the data of ILI,HFMD, OID and BI from 15th to 19th week in 2018 was used for verification. @*Results@#The forecast was in summer,so IDI=ROUND（0.33×risk index of ILI percentage +0.47×risk index of HFMD incidence +0.10×risk index of OID incidence+0.10×risk index of BI）. The predicted IDI would be 2（less safe）in the whole city and Xiangzhou District,and 1（safe）in Doumen District and Jinwan District. The consistency rates of IDI prediction was 97.50%,95.00%,97.50%,85.00% and 77.50% from 15th to 19th week in 2018,respectively.@*Conclusion@#It was feasible to use IDI for short-term risk prediction of infectious diseases.
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Objective To evaluate the impacts of air temperature on years of life lost(YLL) among the residents in Guangzhou and Zhuhai,Guangdong province. Methods Daily mortality and meteorology data in Guangzhou and Zhuhai were collected,and distributed lag non-linear model (DLNM)was used to evaluate the cumulative and delayed effects of daily air temperature on YLL of total non-accident mortality. The accumulative effect of air temperature on mortality under the extreme high temperature(0-1 days)and extreme low temperature(0-13 days)situation in Guangzhou and Zhuhai were analyzed respectively. Results The average YLL was 1 928.0 in Guangzhou and 202.5 in Zhuhai. The exposure-response functions seemed to be non-linear. The hot effect seemed to be acute and reached the peak at the same day,while the cold effect reached the peak at 5th days and lasted for about two weeks. Low temperature had stronger gross effect than high temperature had. The cold effect among males was greater than that among females in Guangzhou. The hot/cold effect on YLL was greater in people aged ≥65 years than in people aged <65 years and in people suffering from respiratory disease than in people suffering from cardiovascular disease in both Guangzhou and Zhuhai. Conclusion The effects of high and low temperatures on YLL were obvious,and the impact of low temperature was greater. The elderly and people suffering from respiratory disease or cardiovascular disease are the vulnerable populations.
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Objective To evaluate the impacts of air temperature on years of life lost(YLL) among the residents in Guangzhou and Zhuhai,Guangdong province. Methods Daily mortality and meteorology data in Guangzhou and Zhuhai were collected,and distributed lag non-linear model (DLNM)was used to evaluate the cumulative and delayed effects of daily air temperature on YLL of total non-accident mortality. The accumulative effect of air temperature on mortality under the extreme high temperature(0-1 days)and extreme low temperature(0-13 days)situation in Guangzhou and Zhuhai were analyzed respectively. Results The average YLL was 1 928.0 in Guangzhou and 202.5 in Zhuhai. The exposure-response functions seemed to be non-linear. The hot effect seemed to be acute and reached the peak at the same day,while the cold effect reached the peak at 5th days and lasted for about two weeks. Low temperature had stronger gross effect than high temperature had. The cold effect among males was greater than that among females in Guangzhou. The hot/cold effect on YLL was greater in people aged ≥65 years than in people aged <65 years and in people suffering from respiratory disease than in people suffering from cardiovascular disease in both Guangzhou and Zhuhai. Conclusion The effects of high and low temperatures on YLL were obvious,and the impact of low temperature was greater. The elderly and people suffering from respiratory disease or cardiovascular disease are the vulnerable populations.
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<p><b>OBJECTIVE</b>To evaluate the impacts of air temperature on years of life lost (YLL) among the residents in Guangzhou and Zhuhai, Guangdong province.</p><p><b>METHODS</b>Daily mortality and meteorology data in Guangzhou and Zhuhai were collected, and distributed lag non-linear model (DLNM) was used to evaluate the cumulative and delayed effects of daily air temperature on YLL of total non-accident mortality. The accumulative effect of air temperature on mortality under the extreme high temperature (0-1 days) and extreme low temperature (0-13 days) situation in Guangzhou and Zhuhai were analyzed respectively.</p><p><b>RESULTS</b>The average YLL was 1 928.0 in Guangzhou and 202.5 in Zhuhai. The exposure-response functions seemed to be non-linear. The hot effect seemed to be acute and reached the peak at the same day, while the cold effect reached the peak at 5(th) days and lasted for about two weeks. Low temperature had stronger gross effect than high temperature had. The cold effect among males was greater than that among females in Guangzhou. The hot/cold effect on YLL was greater in people aged ≥ 65 years than in people aged < 65 years and in people suffering from respiratory disease than in people suffering from cardiovascular disease in both Guangzhou and Zhuhai.</p><p><b>CONCLUSION</b>The effects of high and low temperatures on YLL were obvious, and the impact of low temperature was greater. The elderly and people suffering from respiratory disease or cardiovascular disease are the vulnerable populations.</p>
Subject(s)
Aged , Female , Humans , Male , Middle Aged , Air , Cardiovascular Diseases , Epidemiology , China , Epidemiology , Extreme Cold Weather , Extreme Heat , Mortality, Premature , Nonlinear Dynamics , Respiratory Tract Diseases , Epidemiology , Time FactorsABSTRACT
Objective To understand the diabetes prevalence of urban and rural residents in Sichuan,as the basis for prevention and control of diabetes. Methods By multiple stage cluster sampling method,4 475 residents were selected from 3 240 families of six districts in this survey. The content of blood sugar was determined and disease history of diabetes was investigated in the sampled population. Results The diabetes prevalence of population aged over 3-years was 2.2%,the standardized rate was 2.6%,and it was 4.0% and 3.4% respectively among population aged over 18-years. The diabetes prevalence of population aged over 18-years in urban area was 8.8%,the standardized rate was 6.22%,and it was 1.1% and 1.0% respectively in rural area,the standardized rate in urban area was higher than that in rural area (u=7.04,P