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Multivariate disease mapping of seven prevalent cancers in Iran using a shared component model
Behzad Mahaki1, Yadollah Mehrabi, Amir Kavousi
1Department of Biostatistics, School of Paramedicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Asian Pacific Journal of Cancer Prevention : APJCP
|February 3, 2012
Summary
This study modeled cancer incidence and risk factors across Iran, identifying high-risk areas and linking them to lifestyle factors like smoking and diet. Findings highlight the importance of spatial patterns in cancer prevention strategies.
Area of Science:
- Epidemiology
- Spatial Analysis
- Public Health
Background:
- Seven prevalent cancers in Iran were analyzed for geographical incidence variations.
- Risk factors including smoking, overweight, and diet were investigated.
Purpose of the Study:
- To model the geographical distribution of seven common cancers in Iran.
- To identify and analyze the impact of key risk factors on cancer incidence across provinces.
Main Methods:
- Utilized data from 2007 for 30 Iranian provinces, covering esophagus, stomach, bladder, colorectal, lung, prostate, and breast cancers.
- Employed full Bayesian and multivariate shared component models to estimate incidence and explore spatial patterns.
- Assessed risk factors: smoking, overweight, inadequate fruit/vegetable intake, socioeconomic status, and low physical activity.
Main Results:
- Identified high-risk areas in Fars and Northwestern provinces, with low-risk areas in the Southeast.
- Observed greater impact of risk factors in Northern provinces.
- Linked specific risk factors to increased incidence of stomach, breast, and esophageal cancers.
Conclusions:
- High-risk cancer areas spatially correlated with risk factor patterns and their influence.
- The multivariate shared component model offered significant improvements over individual disease modeling.
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