Urban-rural disparities of depression symptoms and its influencing factors among the elderly aged ≥65 years old in Anhui Province from 2019 to 2020 / 中华预防医学杂志

Objective: To analyze the difference in depression symptoms and influencing factors between urban and rural elderly people aged ≥65 years old in Anhui Province. Methods: Based on the data from a survey of 68 communities in Anhui Province that implemented the National Elderly Psychological Care Project from 2019 to 2020, the current status of depression symptoms in the elderly was evaluated using the Patient Health Questionnaire-9 (PHQ-9). The difference in the detection rate of depression symptoms between urban and rural elderly people with different characteristics was compared by using the χ2 test. The logistic regression model was used to analyze the relevant factors of depression symptoms in urban and rural elderly people. Results: A total of 15 532 elderly people aged≥65 years old were included in the survey. The detection rate of depressive symptoms was 7.12%, which was higher in rural areas (9.08%) than in urban areas (6.48%). Logistic regression showed that chronic diseases were risk factors for depressive symptoms in elderly people from both urban and rural areas. Positive attitudes towards aging and good mental resilience were protective factors for depressive symptoms in elderly people. Having hobby (OR=0.64, 95%CI: 0.45-0.91), good relationship with children (OR=0.56, 95%CI: 0.41-0.76), good relationship with spouse (OR=0.51, 95%CI: 0.37-0.71), and having at least 6 friends (OR=0.48, 95%CI: 0.32-0.71) were the protective factors for depressive symptoms in urban elderly people. A good relationship with neighbors (OR=0.58, 95%CI: 0.41-0.82) and having 1-2 friends (OR=0.40, 95%CI: 0.25-0.64) were the protective factors for depressive symptoms in rural elderly people. Women (OR=1.49, 95%CI: 1.06-2.10) and higher education level (OR=1.81, 95%CI: 1.19-2.74, compared with illiterate/semi-illiterate in primary school; OR=2.94, 95%CI: 1.82-4.76, compared with illiterate/semi-illiterate in junior high school and above) were the risk factors for depressive symptoms in rural elderly people. Conclusion: There are differences between urban and rural areas in depressive symptoms among elderly people in Anhui Province. The detection rate of depression symptoms among rural elderly people is higher, and the influencing factors of depressive symptoms between urban and rural elderly people are also different, which should be treated specifically in the implementation of intervention measures.

Urban-rural disparities of depression symptoms and its influencing factors among the elderly aged ≥65 years old in Anhui Province from 2019 to 2020 / 中华预防医学杂志

Objective: To analyze the difference in depression symptoms and influencing factors between urban and rural elderly people aged ≥65 years old in Anhui Province. Methods: Based on the data from a survey of 68 communities in Anhui Province that implemented the National Elderly Psychological Care Project from 2019 to 2020, the current status of depression symptoms in the elderly was evaluated using the Patient Health Questionnaire-9 (PHQ-9). The difference in the detection rate of depression symptoms between urban and rural elderly people with different characteristics was compared by using the χ2 test. The logistic regression model was used to analyze the relevant factors of depression symptoms in urban and rural elderly people. Results: A total of 15 532 elderly people aged≥65 years old were included in the survey. The detection rate of depressive symptoms was 7.12%, which was higher in rural areas (9.08%) than in urban areas (6.48%). Logistic regression showed that chronic diseases were risk factors for depressive symptoms in elderly people from both urban and rural areas. Positive attitudes towards aging and good mental resilience were protective factors for depressive symptoms in elderly people. Having hobby (OR=0.64, 95%CI: 0.45-0.91), good relationship with children (OR=0.56, 95%CI: 0.41-0.76), good relationship with spouse (OR=0.51, 95%CI: 0.37-0.71), and having at least 6 friends (OR=0.48, 95%CI: 0.32-0.71) were the protective factors for depressive symptoms in urban elderly people. A good relationship with neighbors (OR=0.58, 95%CI: 0.41-0.82) and having 1-2 friends (OR=0.40, 95%CI: 0.25-0.64) were the protective factors for depressive symptoms in rural elderly people. Women (OR=1.49, 95%CI: 1.06-2.10) and higher education level (OR=1.81, 95%CI: 1.19-2.74, compared with illiterate/semi-illiterate in primary school; OR=2.94, 95%CI: 1.82-4.76, compared with illiterate/semi-illiterate in junior high school and above) were the risk factors for depressive symptoms in rural elderly people. Conclusion: There are differences between urban and rural areas in depressive symptoms among elderly people in Anhui Province. The detection rate of depression symptoms among rural elderly people is higher, and the influencing factors of depressive symptoms between urban and rural elderly people are also different, which should be treated specifically in the implementation of intervention measures.

Effects of smoking on chronic obstructive pulmonary disease and respiratory symptoms / 中华疾病控制杂志

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.

Association between mortality rate of hepatic carcinoma and the distance from Suihe River in Lingbi county, Anhui province / 中华预防医学杂志

<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>