1.Effects of smoking on chronic obstructive pulmonary disease and respiratory symptoms
Zhen-qiu ZHA ; Yu-zhuo HE ; Wei XU ; Ye-ji CHEN ; Xin-yong LIU ; Zhi-rong LIU ; Dong-qing YE
Chinese Journal of Disease Control & Prevention 2020;24(1):46-51,56
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.
2.Effect evaluation of the primary screening strategy for liver cancer in rural areas of China.
Mao Mao CAO ; He LI ; Zhen Qiu ZHA ; Jin Yi ZHOU ; Peng Fei LUO ; Ji Yong GONG ; Heng Min MA ; Xi Bin SUN ; Wan Qing CHEN
Chinese Journal of Oncology 2022;44(9):990-996
Objective: To estimate the effectiveness of the primary screening strategy for liver cancer in rural areas to provide basic information for the optimization and perfection of the technical program for the early detection and treatment of liver cancer. Methods: Residents including males aged 35-64 and females aged 45-64 from 9 counties in rural China between 2013 and 2015 were selected as the target population. The participant was classified into a high-risk and non-high-risk group based on the standardized questionnaire or HBsAg, and the Chi-squared test was applied to compare differences between the two groups. The Cox proportional hazard regression models were applied to assess hazard ratio (HR) and its 95% confidence interval (CI). Results: 358 348 participants were recruited from 2013 to 2015. 1 196 individuals were identified with liver cancer until December 31, 2021, with an incidence density of 52.0/10(5) person-years. Of the participants, 54 650 were assessed as high risk (15.3%) based on the questionnaire and the status of HBsAg. The high-risk population had a higher incidence density (168.3/10(5) person-years vs 31.5/10(5) person-years) and higher risk of developing liver cancer (HR=2.98, 95% CI=2.64-3.35), compared to the non-high-risk group. Based on the questionnaire-based high-risk assessment system, 47 884 (13.4%) individuals were identified as high risk, who showed statistical differences in terms of incidence density and incidence risk, in comparison to the low-risk population (all P<0.05). HBsAg can screen out a higher proportion of high-risk individuals who are women, non-smokers, non-drinkers, and individuals without a family history of liver cancer (all P<0.05). The sensitivity analysis of the effectiveness of the whole primary screening method is stable, and high-risk individuals still had a higher risk of liver cancer. Conclusions: The primary screening method of the questionnaire-based risk assessment system and HBsAg can achieve satisfactory effectiveness. The questionnaire-based risk assessment system could identify high-risk individuals to some extent, however, it still needs to be improved to meet the actual requirements.
China/epidemiology*
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Early Detection of Cancer
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Female
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Hepatitis B Surface Antigens
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Humans
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Incidence
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Liver Neoplasms/epidemiology*
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Male
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Mass Screening
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Risk Factors