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Objective:To investigate the joint associations of smoking and insufficient physical activity with hypertension, diabetes and dyslipidemia in male adults.Methods:Based on the data from the 2017 Nanjing Chronic Diseases Risk Factors Surveillance Program, 61 098 Nanjing residents aged 18 and older was randomly recruited from 12 districts, using the multi-stage stratified cluster sampling method. Information about smoking behaviors, physical activity and chronic disease-related indicators within the first 12 months before the survey was obtained through questionnaires.Results:Among the 29 848 valid male samples, the proportions of non-smokers, current smokers and ex-smokers were 59.6%, 37.2% and 3.2%, and the proportions of those who had physically active<600 MET-min/w (insufficient physically active) and ≥600 MET-min/w (adequate physically active) were 18.8% and 82.2%, respectively. In non-smokers, current smokers and ex-smokers, the prevalence of hypertension was 24.7%, 34.0% and 43.8%, and the prevalence of diabetes was 8.8%, 12.3% and 16.5%, and the prevalence of dyslipidemia was 26.8%, 36.1% and 41.9%, respectively. Multivariate logistic regression analysis showed that current smokers had a higher risk of hypertension ( OR=1.164, 95% CI: 1.086-1.248), diabetes ( OR=1.324, 95% CI: 1.207-1.452), and dyslipidemia ( OR=1.291, 95% CI: 1.216-1.371) than non-smokers in male adults. Compared with people who had adequate physical activity, someone with insufficient physical activity had higher hypertension ( OR=1.452, 95% CI: 1.331-1.583), diabetes ( OR=1.170, 95% CI: 1.041-1.315) and dyslipidemia ( OR=1.245, 95% CI: 1.158-1.338). And current smokers with insufficient physical activity had the highest risk of hypertension ( OR=1.749, 95% CI: 1.550-1.974), diabetes ( OR=1.363, 95% CI: 1.165-1.595), and dyslipidemia ( OR=1.614, 95% CI: 1.461-1.782) in male adults. Conclusions:Smoking and insufficient physical activity are risk factors for hypertension, diabetes, and dyslipidemia. People who is characterized by smoking together with insufficient physical activity presents with increased risk on developing hypertension, diabetes, and dyslipidemia.
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Objective:To explore the association between different paths of diabetic progression and dyslipidemia in a Nanjing adult population.Methods:From January 2017 to June 2018, 61, 098 local residents aged ≥18 years were selected from the Chronic Disease and Risk Factor Surveillance database in Nanjing using a five-stage stratified cluster random sampling method. Data were collected through interview surveys, physical measurements, and laboratory examinations. The relationship between different rates of diabetic progression and dyslipidemia was analyzed using complex weighting and multilevel models.Results:In all, 60, 283 participants were finally enrolled in the study. The weighted proportions of normal glucose regulation, pre-diabetes, and diabetes were 71.2%, 17.9%, and 10.9%, respectively. The overall weighted prevalence, awareness, treatment, and control of dyslipidemia were 29.8%, 41.6%, 28.9%, and 22.9%, respectively. The weighted proportion of patients with dyslipidemia combined with diabetes was 52.9%. The weighted prevalence of dyslipidemia in adults with normal glucose regulation, pre-diabetes, and diabetes was 24.0%, 38.8%, and 52.9%, respectively (all P<0.001). Compared to the normal glucose regulation group, subjects with pre-diabetes ( OR = 2.04, 95% CI: 1.95-2.13) or diabetes ( OR= 3.87, 95% CI: 3.66-4.10) had possibly gradually increased risks of dyslipidemia (all P<0.001). In addition, there was an increasing trend toward awareness, treatment, and control of dyslipidemia with increasing levels of glucose (all P<0.001). The weighted awareness of dyslipidemia in adults with normal glucose regulation, pre-diabetes, and diabetes was 36.3%, 42.8%, and 56.2%, respectively; the corresponding rates of treatment and control were 23.7%, 29.2%, and 43.7%, and 20.4%, 22.6%, and 30.1%, respectively. Conclusion:Diabetes and dyslipidemia have become the main chronic diseases in the Nanjing population.
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Objective:To analysis and compare the burden of ischemic heart disease (IHD) attributable to metabolic risks in population aged 25 years and older in 2011 and 2017 in Nanjing.Methods:The data were extracted from the Nanjing Chronic Disease and Risk Factor Surveillance (2011 and 2017), the Nanjing Mortality Surveillance (2011 and 2017) and the 2016 Global Burden of Disease Study (GBD). Using GBD′s Comparative Risk Assessment Theory, the attribution burden was estimated by comparing the observed health outcomes with the health outcomes that may be observed when exposed to counterfactual levels. Based on population attributable fractions, the deaths and life expectancy losses of ischemic heart disease due to high systolic blood pressure (SBP), high fasting plasma glucose (FPG), high total cholesterol (TC), high body mass index (BMI) and combination of four risks were estimated in 2011 and 2017. The average population structure of the world′s population from 2000 to 2025 wasusedas the standard population for standardization.Results:The number of IHD deaths attributable to four metabolic risks combination was 3 204, andwhich resulted in a loss of life expectancy of 0.90 years in 2017. High SBP appeared as the major cause of IHD deaths and Years of Life Lost (YLL). In 2017, the world standardized mortality rate (25.60×10 －5, 19.94×10 －5 and 6.83×10 －5) and the standardized YLL rate (389.31×10 －5, 335.16×10 －5, 134.60×10 －5) of the population due to high systolic blood pressure, high total cholesterol and high body mass index were significantly lower than those in 2011 (31.75×10 －5, 26.74×10 －5, 7.45×10 －5 and 469.07×10 －5, 463.70×10 －5, 142.66×10 －5); the world standardized rate and the standardized YLL rate due to high blood sugar (11.90×10 －5 and 174.61×10 －5) were significantly higher than those in 2011 (9.67×10 －5 and 150.61×10 －5) (all P<0.05). Males appeared to have higher standardized rate of YLL of IHD deaths than females, due to having metabolism risks( P<0.05). Conclusion:Metabolic exposures especially high SBP are the important risk factors whichleadto IHD deaths in Nanjing.
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Objective To evaluate the diabetes self-management program based on Chinese local patients in Nanjing community. Methods From April 2014 to June 2014, diabetes patients were recruited through health records system screening in the community health service centers, letter invitation, poster announcements at communities, and telephone notification. A total of 53 self-management groups were established. Nanjing diabetes self-management program included six 1-1.5 hours sessions scheduled on consecutive weeks, based on the blueprint of Shanghai Chronic Disease Self-Management Program (CDSMP) developed at Stanford University. Baseline and three-month later interviews were conducted respectively. Results A total of 636 patients were recruited and agreed to enter CDSMP; 603 completed the 6-session activities, with the response rate being 94.8%. Compared to baseline, nine of the patients' the awareness rate of diabetes-related knowledge, six of self-management behaviors, the scores of quality of life in physical component summary [(47.51 ± 9.47) vs. (49.10 ± 8.27) points, t=6.170, P=0.000] and mental component summary [(47.09±11.95) vs. (49.13±10.74) points, t=5.157, P=0.000] were all higher after three months (all P values<0.05). Three months after implementation, the level of systolic blood pressure, diastolic blood pressure, fasting plasma glucose and total cholesterol decreased respectively by (1.42±0.52) mmHg (1 mmHg=0.133 kPa), (0.98 ± 0.34) mmHg, (0.66 ± 0.16) mmol/L, (0.15 ± 0.56) mmol/L,the differences were statistically significant (tpaired values were 3.935, 2.030, 4.889, 4.899, all P values<0.05). Conclusion The diabetes self-management program based on Chinese local patients for Nanjing may improve patients' awareness rate of diabetes-related knowledge, self-management behavior, the quality of life, and health status. CDSMP could be applied effectively in Nanjing.