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Abstract@#Socioeconomic status is an important factor affecting all-cause mortality. Income, education and occupation alone or in combination have been employed as a measure of socioeconomic status; however, the study results vary in measures. Material mechanism, lifestyle mechanism, psychological mechanism and community neighborhood mechanism have been accepted as the main intermediate mechanisms for the impact of socioeconomic status on all-cause mortality; however, the contribution of these mechanisms remains controversial. Based on the international and national publications pertaining to the association between socioeconomic status and all-cause mortality from 2012 to 2021, this review summarizes the relationship between socioeconomic status and all-cause mortality in different metrics and the intermediate mechanism of the impact of socioeconomic status on all-cause mortality, so as to provide insights for further studies.
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Objective To analyze the secular trends of pancreatic cancer incidence and mortality in Changning district of Shanghai from 1974 to 2013. Methods We calculated the age-standardized rates of incidence and mortality and the average annual percent changes for pancreatic cancer using Segi's world standard population and the data from Shanghai Cancer Registry. Age-period-cohort model was constructed to further assess the effect of age, diagnosis period and birth cohort on the secular trends of pancreatic cancer incidence and mortality. Results During 1974-2013, the age-standardized incidence and mortality rates were 6.49/105 and 6.01/105 in male, 4.83/105 and 4.57/105 in female, respectively. The age-standardized incidence was increased by 0.8% per year in male during past 40 years, while there was no change in mortality. The age-standardized incidence and mortality rates were increased by 1.6% and 1.3% per year in female. After adjusting the effects of diagnosis period and birth cohort, the incidence and mortality rates of pancreatic cancer increased by about 11% every 5 years older in both male and female. Diagnosis period and birth cohort had no statistical impact on the incidence and mortality of pancreatic cancer. Conclusion The age-standardized incidence of pancreatic cancer shows significantly rising trends during 1974-2013 in both male and female in Changning district of Shanghai, as well as the age-standardized mortality in female. The incidence and mortality rates also increase with age.
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PURPOSE: Studies suggest that regular use of metformin may decrease cancer mortality. We investigated the association between diabetes medication use and cancer survival. MATERIALS AND METHODS: The current study includes 633 breast, 890 colorectal, 824 lung, and 543 gastric cancer cases identified from participants of two population-based cohort studies in Shanghai. Information on diabetes medication use was obtained by linking to electronic medical records. The associations between diabetes medication use (metformin, sulfonylureas, and insulin) and overall and cancer-specific survival were evaluated using time-dependent Cox proportional hazards models. RESULTS: After adjustment for clinical characteristics and treatment factors, use of metformin was associated with better overall survival among colorectal cancer patients (hazards ratio [HR], 0.55; 95% confidence interval [CI], 0.34 to 0.88) and for all four types of cancer combined (HR, 0.75; 95% CI, 0.57 to 0.98). Ever use of insulin was associated with worse survival for all cancer types combined (HR, 1.89; 95% CI, 1.57 to 2.29) and for the four cancer types individually. Similar associations were seen for diabetic patients. Sulfonylureas use was associated with worse overall survival for breast or gastric cancer (HR, 2.87; 95% CI, 1.22 to 6.80 and HR, 2.05; 95% CI, 1.09 to 3.84, respectively) among diabetic patients. Similar association patterns were observed between diabetes medication use and cancer-specific survival. CONCLUSION: Metformin was associated with improved survival among colorectal cancer cases, while insulin use was associated with worse survival among patients of four major cancers. Further investigation on the topic is needed given the potential translational impact of these findings.
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Humans , Breast , Cohort Studies , Colorectal Neoplasms , Electronic Health Records , Insulin , Lung , Metformin , Mortality , Proportional Hazards Models , Stomach NeoplasmsABSTRACT
Objective@#To investigate the association between consumption of cruciferous vegetables (CV), level of urinary isothiocyanates (ITC) and the risk of lung cancer among man in urban Shanghai.@*Methods@#A nested case-control study was conducted within the Shanghai Men's Health Study. Using incidence density sampling with a 2∶1 control to case selection ratio, 885 controls were selected to match 443 lung cancer cases diagnosed prior December 31, 2010. A food-frequency questionnaire was administered to estimate CV consumption. The high performance liquid chromatography method was applied to measure urinary ITC level. The CV intake and urinary ITC level were divided into quartiles according to distribution of control group. The lowest quartile was as a reference group. Conditional logistic regression model was used to analyze the relationship between CV intake, urinary ITC level and the risk of lung cancer.@*Results@#The cruciferous vegetables intake median (P25, P75) in cases and controls were 80.05 (46.89, 129.04) and 97.68 (55.25, 151.72) g/d (Z=-3.93, P<0.001). The urinary ITC level were 1.256 (0.474, 3.836) and 1.244 (0.484, 3.004) μmol/g Cr (Z=-0.39, P=0.697). After adjusting for potential confounding factors such as age, education level, smoking and alcohol consumption, for urinary ITC level, the OR(95%CI) for the highest quartile(≥3.004 μmol/g Cr) was 1.25 (0.87-1.80) compared with the lowest quartile(<0.484 μmol/g). For CV intake, the OR(95%CI) for the highest quartile(≥151.71 g/d) was 0.66 (0.43-1.02) compared with the lowest quartile(<55.25 g/d).@*Conclusion@#No association was found between the CV intake, urinary ITC level and lung cancer risk in men.
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Objective@#To investigate the combined impact of lifestyle factors on stomach cancer risk.@*Methods@#We analyzed the data from the Shanghai Men's Health Study (SMHS) (2002-2013). The SMHS was conducted in eight neighborhood communities of urban Shanghai. From 2002 through June 2006, 61 480 residents aged 40 to 74 years old with no history of cancer were recruited. Failure time was the date of stomach cancer incidence, death or date of the last follow-up (December 31, 2013). The first two in-person follow-up surveys were conducted in 2004-2008, and 2008-2011, respectively. Using data on lifestyle, the healthy lifestyle index (HLI) was developed. The following lifestyle factors were included: smoking, alcohol consumption, diet habit, overweighted and physical activity. Cox proportional hazard models were used to evaluate the association of stomach cancer risk with lifestyle factors and HLI.@*Results@#Over 9.28 years' follow-up, 477 incident cases of stomach cancer were identified from 59 503 study participants. Participants with zero, one, two, three, four, and five favorable lifestyle behaviors accounted for 3.44% (n=2 045), 18.14% (n=10 793), 33.68% (n=20 041), 29.43% (n=17 511), 12.82% (n=7 627), and 2.50% (n=1 486), respectively. Among all the five lifestyle factors, smoking and alcohol use were significantly related to stomach cancer risk. The relative risk of stomach cancer was 0.71 (95%CI: 0.57-0.87) for those who never smoked or quitted smoking for no less than 10 years and 0.70 (95%CI: 0.55-0.90) for those who consumed alcohol no more than 14 drinks per week. For each increment of healthy lifestyle index, the relative risk of stomach cancer was 0.86 (95%CI: 0.79-0.95). Compared to men with none or one healthy lifestyle factor, the relative risk for those with four or five was 0.62 (95%CI: 0.46-0.83). When we rebuilt HLI using more categories of each lifestyle factors, the HLI ranged from 0 to 11. For each point increase, the relative risk of stomach cancer was 0.93 (95%CI: 0.89-0.97). Compared those with 0 to 3 points, the relative risk of those with 8 to 11 points was 0.64 (95%CI: 0.47-0.87).@*Conclusion@#In the SMHS, only a small proportion of men adhered to all the five healthy lifestyle factors. Compared to those with none or one healthy lifestyle behaviors, those with five may prevent about 1/3 stomach cancer incidence and the HLI was inversely associated with stomach cancer risk.