scholarly journals Aflatoxin Contamination of Red Chili Pepper From Bolivia and Peru, Countries with High Gallbladder Cancer Incidence Rates

2012 ◽  
Vol 13 (10) ◽  
pp. 5167-5170 ◽  
Author(s):  
Takao Asai ◽  
Yasuo Tsuchiya ◽  
Kiyoshi Okano ◽  
Alejandro Piscoya ◽  
Carlos Yoshito Nishi ◽  
...  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jieun Jang ◽  
Dae-Sung Yoo ◽  
Byung Chul Chun

Abstract Background There have been reports on regional variation in prevalence of hepatitis B and C, and Clonorchis sinensis (C. sinensis) infection, which indicates potential of spatial variation in liver cancer and gallbladder cancer incidence in Korea. Therefore, we aimed to assess the regional variation of liver and gallbladder cancer incidence and its determinants based on the regional distribution of risk factors, including hepatitis B infection in Korea. Methods This study used an ecological study design and district-level cancer incidence statistics generated by the National Cancer Center. Spatial clusters of liver and gallbladder cancer incidence were detected based on spatial scan statistics using SaTScan™ software. We set the size of maximum spatial scanning window of 25 and 35% of the population at risk for analyses of liver and gallbladder cancer, respectively. Significance level of 0.05 was used to reject the null hypothesis of no cluster. We fitted the Besag-York-Mollie model using integrated nested Laplace approximations to assess factors that influence the regional variation in cancer incidence. Results Spatial clusters with high liver cancer incidence rates were detected in the southwestern and southeastern regions of Korea. High gallbladder cancer incidence rates are clustered in the southeastern region. Regional liver cancer incidence can be accounted for the prevalence of high household income (coefficient, − 0.10; 95% credible interval [CI], − 0.18 to − 0.02), marital status (coefficient, − 0.14; 95% CI, − 0.25 to − 0.03), the incidence of hepatitis B (coefficient, 0.87; 95% CI, 0.29 to 1.44), and liver cancer screening (coefficient, 0.06; 95% CI, 0.00 to 0.12), while gallbladder cancer incidence was related to the prevalence of high household income (coefficient, − 0.03; 95% CI, − 0.05 to 0.00) and living close to a river with a high prevalence of liver fluke infection (coefficient, 0.55; 95% CI, 0.14 to 0.96). Conclusions This study demonstrated geographic variation in liver and gallbladder cancer incidence, which can be explained by determinants such as hepatitis B, income, marital status, and living near a river.


2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Mirosław Jarosz ◽  
Włodzimierz Sekuła ◽  
Ewa Rychlik

The aim of the study was to investigate the relationship between pancreatic cancer incidence and selected dietary factors, alcohol consumption, and tobacco smoking in Poland in 1960–2008. Data on pancreatic cancer morbidity were derived from the National Cancer Registry and on food consumption from the national food balance sheets. In 1960–1989 correlations were found between pancreatic cancer incidence rates and energy (0.60 for males and 0.57 for females), cholesterol (0.87 and 0.80), fibre (−0.84 and −0.89) and folate (−0.45 and −0.49) intake, the consumption of total fats (0.94 and 0.91), animal fats (0,90 and 0,82), sugar (0.88 and 0.87), cereals (−0.93 and −0.91), and alcohol (0.86 and 0.82). In 1990–2008 morbidity correlated with the consumption of red meat (0.67 and 0.48), poultry (−0.88 and −0.57), and fruit (−0.62 and −0.50). Correlation with tobacco smoking was observed in the whole studied period (0.55 and 0.44). Increased incidence of pancreatic cancer in 1960–1995 was probably related to adverse dietary patterns up to 1989, especially high consumption of fats, sugar, and alcohol. Further positive changes in the diet such as lowering red meat consumption and increasing fruit consumption could influence incidence reduction in recent years. Also changes in tobacco smoking could affect the morbidity.


2010 ◽  
Vol 408 (20) ◽  
pp. 4429-4439 ◽  
Author(s):  
Ori Eitan ◽  
Yuval ◽  
Micha Barchana ◽  
Jonathan Dubnov ◽  
Shai Linn ◽  
...  

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