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Objective To investigate the effects of smoking on chronic obstructive pulmonary disease(COPD) and respiratory symptoms. Methods A multi-stage, stratified cluster sampling strategy was used to select participants aged 40 or older in 5 surveillance points of Anhui Province. Questionnaires, body measurements and spirometry were used to collect data. Based on complex sampling design, Logistic regression model was conducted to analyze the effects of smoking on COPD and respiratory symptoms. Results The smokers who had smoked for ≥30 pack-years accounted for 13.9% (95% CI:10.3%-17.5%, P＜0.001) of the total population. And the smokers who had smoked for ≥40 years accounted for 8.5% (95% CI:6.7%-10.3%, P＜0.001) of the total population. On average, one smoker had smoked for 32.4 years (95% CI:31.2-33.5). Average daily cigarette consumption of daily smokers was 21.1 cigarettes (95% CI:19.6-22.7). As shown by multiple-variables Logistic regression analyses, the risk of COPD and respiratory symptoms increased with the increment of smoking pack-years and duration (all Ptrend <0.001). Conclusions Smoking was associated with COPD and respiratory symptoms. The risk of developing COPD and respiratory symptoms was greater with the increment of smoking pack-years and duration.
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<p><b>OBJECTIVE</b>To explore the association between mortality rate of hepatic carcinoma and the distance from Suihe River in Lingbi county, Suzhou, Anhui province.</p><p><b>METHODS</b>Using the disease mapping and spatial statistical analysis techniques,we described the spatial distributions of the mortality rate of hepatic carcinoma from 2005 to 2010 in Lingbi county. Taking the distance between villages and polluted rivers as proxy variable of environmental exposure, mortality rate of hepatic carcinoma in each village as dependant variable, and using the Glimmix model and Bayesian spatial model (BYM) to undertake the univariate and multivariate analysis, we investigatived the association between mortality rate of hepatic carcinoma and the water pollution of Suihe River in Lingbi county.</p><p><b>RESULTS</b>Obvious clustering of high mortality rate of hepatic carcinoma along the polluted river was observed in Lingbi county. Results of Glimmix model showed that whether spatial autocorrelation was considered or not, closer to the polluted river has higher mortality rate of hepatic carcinoma. Results of univariate analysis of the BYM model showed that, compared with the villages far from the polluted river more than 12 km (the mortality rate of hepatic carcinoma was 33.12/100 000(1068/3 224 562) ), the RR values of the hepatic carcinoma mortality was 1.38(95%CI:1.06-1.82) for the villages apart from the polluted river within 6 km (the mortality rate of hepatic carcinoma was 42.48/100 000(777/1 829 064)), and 1.13 (95%CI:0.92-1.39) for villages apart from the river between 6 and 12 km (the mortality rate of hepatic carcinoma was 35.65/100 000(651/1 825 848)). In the BYM model multivariate analysis, adding the volume of fertilizer and pesticides used per cultivated area, GDP per capita to do multivariate analysis were, the relation between mortality rate of hepatic carcinoma and distance from polluted rivers remains unchanged.</p><p><b>CONCLUSION</b>The mortality rate of hepatic carcinoma was associated with the exposure to the polluted river in Lingbi county. The polluted river may increase the hepatic carcinoma mortality of nearby residents.</p>