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Glandularity has a marked impact on the incidence of breast cancer and the missed lesion rate of mammography. The aim of this study was to develop a novel model for predicting glandularity and patient radiation dose using physical factors that are easily determined prior to mammography. Data regarding glandularity and mean glandular dose were obtained from mammograms.

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Background: Although isoflavones, such as those found in soy, have been shown to inhibit breast cancer in laboratory studies, associations between consumption of isoflavone-containing foods and breast cancer risk have been inconsistent in epidemiologic studies. Methods: In January21 Japanese female residents aged 40—59 years from four public health center areas completed a self-administered questionnaire, which included items about the frequency of soy consumption. Through December and person-years of follow-up, women were diagnosed with breast cancer.

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Skip to search form Skip to main content. Factors affecting breast cancer screening behavior in Japan--assessment using the health belief model and conjoint analysis. However, the breast cancer screening rate in Japan is not as high as in Europe and the United States.

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However, the breast cancer screening rate in Japan is not as high as in Europe and the United States. The aim of this study was to identify psychological and personal characteristics of women concerning their participation in breast cancer screening using the Health Belief Model HBM. In addition, the attributes of screening more easily accepted by participants were analyzed by conjoint analysis.

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Two of the biggest factors that influence your cancer risk are genetics and lifestyle. While you have some control over your lifestyle, the culture and environment in which you live largely dictates your lifestyle choices. Traditionally, American women have a higher intake of saturated fats and drink more alcohol compared to Japanese women, whose diets are largely soy-based.

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Little information is available concerning how patient delay may be affected by mass disasters. The main objectives of the present study are to identify whether there was a post-disaster increase in the risk of experiencing patient delay among breast cancer patients in an area affected by the triple disaster in Fukushima, Japan, and to elucidate factors associated with post-disaster patient delay. Sociodemographic factors age, employment status, cohabitant status and evacuation statushealth characteristics, and health access- and disaster-related factors were specifically considered.

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The information on this page is archived and provided for reference purposes only. The following risk prediction models are intended primarily for research use and have been peer-reviewed, meaning the methodology and results of these models have been evaluated by qualified scientists and clinicians and published in scientific and medical journals. Absolute cancer risk is the probability that an individual with given risk factors and a given age will develop cancer over a defined period of time.

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Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq cdc. Type Accommodation and the title of the report in the subject line of e-mail.

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June 18, Written by: Michal Chorev. Breast cancer is the global leading cause of cancer-related deaths in women, and the most commonly diagnosed cancer among women across the world 1. From our perspective, improved treatment options and earlier detection could have a positive impact on decreasing mortality, as this could offer more options for successful intervention and therapies when the disease is still in its early stages.


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