Development and Validation of a Breast Cancer Risk Prediction Model for Thai Women: A Cross-Sectional Study

Anothaisintawee, Thunyarat; Teerawattananon, Yot; Wiratkapun, Cholatip; Srinakarin, Jiraporn; Woodtichartpreecha, Piyanoot; Hirunpat, Siriporn; Wongwaisayawan, Sansanee; Lertsithichai, Panuwat; Kasamesup, Vijj; Thakkinstian, Ammarin

doi:10.7314/apjcp.2014.15.16.6811

Cited by 13 publications

(24 citation statements)

References 32 publications

(30 reference statements)

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“…Early menarche (before age 12 years) and late menopause (after age 55 years) are associated with increased risk of BC, likely due to a longer lifetime exposure to estrogen and progesterone (American Cancer Society, 2016). Several studies demonstrated a link between menopausal status and BC risk and was seen across participants from Thailand (Anothaisintawee et al, 2014), India (Chattopadhyay et al, 2014), Pakistan (Song et al, 2014a), and Korea (Park et al, 2013). As expected, the studies showed an increased BC risk in women who had a lower age of menarche (Bhadoria et al, 2013;Chung et al, 2013) and a later age of menopause (Bhadoria et al, 2013;Shamsi et al, 2013;.…”

Section: Non-modifiable Risk Factorsmentioning

confidence: 79%

“…In addition, being overweight or obese can increase insulin levels, and higher insulin levels have also been associated with increased risk of BC (American Cancer Society, 2016). Several of the studies in this review showed a correlation between increased BC risk and a high BMI, being overweight or obese, and low level of physical activity (Mizoo et al, 2013;Sangrajrang et al, 2013;Suzuki et al, 2013;Wang et al, 2013a;Wang et al, 2013b;Anothaisintawee et al, 2014;Wada et al, 2014;Fu et al, 2015). In addition one study showed that underweight BMI at a young age (at ages 10 and 20 years) were associated with a decreased risk of BC (Sangrajrang et al, 2013).…”

Section: Modifiable Risk Factorsmentioning

confidence: 82%

“…Menopausal status was associated with BC risk in studies conducted in Thailand (Anothaisintawee et al, 2014), India (Chattopadhyay et al, 2014), Pakistan (Sohail et al, 2013), and Korea (Park et al, 2013). Among participants from India, compared with controls, women with BC had a lower mean age at menarche (13.20±1.33 and 14.58±0.85 respectively, p=0.00) and a later age of menopause (49.38±5.21 and 47.89±3.96 respectively, p=0.002) (Bhadoria et al, 2013).…”

Section: Reproductive Healthmentioning

confidence: 99%

“…Huang et al, (2014) reported that among participants from China, of non-agricultural population, and second industry output; in contrast, incidence was negatively correlated with the percentage of population employed in primary industry (Fei et al, 2015). Other modifiable risk factors including active or passive smoking (Mizoo et al, 2013;Pimhanam et al, 2014;Tong et al, 2014;Wada et al, 2015), high body mass index (BMI) (Mizoo et al, 2013;Sangrajrang et al, 2013;Suzuki et al, 2013;Wang et al, 2013b;Anothaisintawee et al, 2014;Wada et al, 2014;Fu et al, 2015), use of oral contraceptives (Bhadoria et al, 2013;Anothaisintawee et al, 2014;Poosari et al, 2014), high perceived level of stress, and low level of physical later age at either first live birth, or at first pregnancy and last pregnancy were associated with increased BC risk (p-trend=0.002, 0.015, 0.008, respectively). Among participants from Japan, BC was increased in women who performed mixed feeding (HR 1.12, 95% CI, 0.92-1.37, p-trend=0.014) or feeding only with formula (HR 1.80, 95% CI, 1.14-2.86, p-trend=0.014) compared with women who only breastfed (Sugawara et al, 2013).…”

Section: Reproductive History and Breastfeedingmentioning

confidence: 99%

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A Review of the Epidemiology of Breast Cancer in Asia: Focus on Risk Factors

Youn

Han

2020

Asian Pac J Cancer Prev

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Background and Aim: Breast cancer is the most prevalent cancer in women. To date, regional differences in breast cancer risk factors have not been identified. The aim of our review was to gain a better understanding of the role of risk factors in women with breast cancer in Asia. Methods: We conducted a PubMed search on 15 March 2016, for journal articles published in English between 2011 and 2016, which reported data for human subjects in Asia with a diagnosis of breast cancer. Search terms included breast neoplasm, epidemiology, Asia, prevalence, incidence, risk and cost of illness. Studies of any design were included, except for review articles and meta-analyses, which were excluded to avoid duplication of data. No exclusions were made based on breast cancer treatment. We reported the results using the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Results: A total of 776 abstracts were retrieved. After screening against the eligibility criteria, 562 abstracts were excluded. The remaining 214 abstracts, which were published between 2013 and 2015, were included in this review. Results were summarized and reported under three categories: incidence, prevalence or outcomes for breast cancer in Asia; modifiable risk factors; and non-modifiable risk factors. We found that the increased risk of breast cancer among participants from Asia was associated with older age, family history of breast cancer, early menarche, late menopause, high body mass index, being obese or overweight, exposure to tobacco smoke, and high dietary intake of fats or fatty foods. In contrast, intake of dietary fruits, vegetables, and plant-and soy-based products was associated with a decreased breast cancer risk. While based on limited data, when compared to women from the United States, women from Asia had a decreased risk of breast cancer. Conclusions: This review of 214 abstracts of studies in Asia, published between 2013 and 2015, confirmed the relevance of known non-modifiable and modifiable risk factors for women with breast cancer.

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Section: Non-modifiable Risk Factorsmentioning

confidence: 79%

Section: Modifiable Risk Factorsmentioning

confidence: 82%

Section: Reproductive Healthmentioning

confidence: 99%

Section: Reproductive History and Breastfeedingmentioning

confidence: 99%

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A Review of the Epidemiology of Breast Cancer in Asia: Focus on Risk Factors

Youn

Han

2020

Asian Pac J Cancer Prev

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“…The research (Thunyarat et al, 2014) developed and validated a breast cancer risk prediction model for Thai women, and concluded that "age, menopausal status, body mass index, use of oral contraceptive" were significantly associated with breast cancer. About Lung cancer, the paper (Kawsar et al, 2013) proposed an easy, cost effective and time saving lung cancer risk prediction system, they Nan-Nan Xie*, Liang Hu, Tai-Hui Li used K-means clustering algorithm for identifying relevant and non-relevant data.…”

Section: Introductionmentioning

confidence: 99%

Lung Cancer Risk Prediction Method Based on Feature Selection and Artificial Neural Network

Xie

Hu²,

Li³

2015

Asian Pacific Journal of Cancer Prevention

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A method to predict the risk of lung cancer is proposed, based on two feature selection algorithms: Fisher and ReliefF, and BP Neural Networks. An appropriate quantity of risk factors was chosen for lung cancer risk prediction. The process featured two steps, firstly choosing the risk factors by combining two feature selection algorithms, then providing the predictive value by neural network. Based on the method framework, an algorithm LCRP (lung cancer risk prediction) is presented, to reduce the amount of risk factors collected in practical applications. The proposed method is suitable for health monitoring and self-testing. Experiments showed it can actually provide satisfactory accuracy under low dimensions of risk factors.

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