Wanem ol samting inap mekim na man i kisim sik kensa bilong susu?
I gat sampela samting i mekim na man inap kisim sik kensa bilong susu, na sampela bilong ol dispela samting yu inap senisim, na sampela yu no inap senisim.
Sampela samting i save kamapim dispela sik em:
1. krismas: Taim man i go lapun, dispela inap mekim na em i kisim sik kensa bilong susu, na planti meri i kisim dispela sik ol i winim pinis 50 krismas.
2. Famili i gat sik kensa: Sapos wanpela wanblut, olsem mama, susa, o pikinini meri, i gat sik kensa bilong susu, dispela inap mekim na yu inap kisim dispela sik.
3. Ol senis i kamap long jin: Sampela jin i senis, olsem BRCA1 na BRCA2, dispela i mekim na man inap kisim sik kensa bilong susu.
4. Ol meri i bin karim pikinini: Taim meri i kisim sik mun paslain long taim em i bin kisim, o taim em i lusim sik mun bihain long taim em i bin kisim, na sapos em i no gat pikinini o em i kisim namba wan pikinini bihain long taim em i gat 30 krismas, dispela inap mekim na em i kisim sik mun.
5. Hormon: Sapos meri i kisim marasin estrogen na progesteron inap longpela taim bihain long taim bilong sik mun, dispela inap mekim na em i kisim sik mun.
6. Alkohol: Pasin bilong dring alkohol i mekim na man inap kisim sik kensa bilong susu.
7. Patpela skin: Sapos man i patpela tumas, dispela inap mekim na em i kisim sik mun, na moa yet taim em i lusim sik mun.
8. Mekim ol samting bilong strongim skin: Sapos yu no mekim ol samting bilong strongim skin, dispela inap mekim na yu kisim sik.
9. Kisim bikpela strong bilong rediesen: Sapos man i kisim bikpela strong bilong rediesen, moa yet long taim em i pikinini yet, dispela inap mekim na em i kisim bikpela sik.
10. Ol susu i pas strong: Ol meri i gat planti susu ol inap kisim sik kensa bilong susu.
11. Ol meri i bin kisim sik mun paslain long ol i gat 12-pela krismas o ol meri i kisim sik mun bihain long ol i gat 55 krismas, ol inap kisim sik mun.
12. Pasin bilong givim susu long bebi: Ol meri i no bin givim susu long bebi, ol inap kisim sik kensa bilong susu.
Em i bikpela samting long tingim olsem sapos yu gat wanpela o sampela risen long kisim sik kensa, dispela i no makim olsem yu bai kisim dispela sik, na sapos yu no gat wanpela risen, dispela i no makim olsem yu no inap kisim dispela sik.
Tasol sapos man i save gut long ol dispela samting, dispela inap helpim em long skelim gut helt bilong em na daunim hevi bilong sik.
Wung SF, Hepworth JT, Sparenga D, Merkle CJ: Cardiovascular Disease Risk and Breast Cancer Outcomes: A Pilot Study. Oncol Nurs Forum. 2015, 42 (5): E330-8.
Frankl G: Risk factors in breast cancer: are they important, are they the same in pre- and post-menopausal breast cancer patients? Oncology. 1980, 37 (1): 41-5.
Ho PJ, Lau HSH, Ho WK, Wong FY, Yang Q, Tan KW, Tan MH, Chay WY, Chia KS, Hartman M, Li J: Incidence of breast cancer attributable to breast density, modifiable and non-modifiable breast cancer risk factors in Singapore. Sci Rep. 2020, 10 (1): 503.
Barnard ME, Boeke CE, Tamimi RM: Established breast cancer risk factors and risk of intrinsic tumor subtypes. Biochim Biophys Acta. 2015, 1856 (1): 73-85.
Hines LM, Risendal B, Slattery ML, Baumgartner KB, Giuliano AR, Sweeney C, Rollison DE, Byers T: Comparative analysis of breast cancer risk factors among Hispanic and non-Hispanic white women. Cancer. 2010, 116 (13): 3215-23.
Rosner B, Glynn RJ, Eliassen AH, Hankinson SE, Tamimi RM, Chen WY, Holmes MD, Mu Y, Peng C, Colditz GA, Willett WC, Tworoger SS: A Multi-State Survival Model for Time to Breast Cancer Mortality among a Cohort of Initially Disease-Free Women. Cancer Epidemiol Biomarkers Prev. 2022, 31 (8): 1582-1592.
['Toksave: sik']
['Dispela Web-sait i bilong skulim na givim save tasol long ol man, na i no bilong givim tok bilong helpim ol sikman o helpim ol narapela long sait bilong helt.']
['Ol i no ken yusim ol dispela tok bilong helpim ol long save long sik bilong ol, na ol man i laik kisim helpim long ol samting bilong helt, ol i mas toktok wantaim wanpela dokta.']
['Tingim, ol kompiuta i save yusim ol kompiuta long kamapim ol bekim bilong ol askim, tasol ol i no save kolim stret ol namba, olsem namba bilong ol man i gat wanpela sik.']
['Oltaim yu mas kisim tingting bilong dokta o narapela lain i gat save long helpim yu long sait bilong helt sapos yu gat sik. No ken sakim tok bilong dokta o wet long kisim tingting bilong dokta, long wanem, yu ritim sampela tok long dispela Web-sait. Sapos yu ting yu gat sik, ringim 911 o go long haus sik i stap klostu.']
['Toksave: raits bilong man i bosim']
['Digital Millennium Copyright Act bilong 1998, 17 U.S.C. § 512 (the DMCA) i tok ol papa bilong ol samting i gat rait long wokim ol samting, sapos ol i ting ol samting i stap long Intenet i brukim ol lo bilong ol long Amerika.']
['Sapos yu bilip olsem sampela samting i stap long dispela Web-sait o ol sevis bilong mipela i brukim lo bilong kopirait bilong yu, yu (o agent bilong yu) inap salim toksave long mipela na askim mipela long rausim o pasim rot bilong yu long kisim dispela samting.']
['Ol i mas salim ol toksave long rot bilong e-mail (lukim hap "Kontek" bilong lukim e-mail atres). ']
['Lo bilong DMCA i tok olsem toksave bilong yu long ol man i bin brukim lo bilong kopirait i mas i gat ol dispela tok: (1) stori long ol samting i gat kopirait long en, em ol man i tok ol i bin brukim; (2) stori long ol samting i gat kopirait na ol tok bilong helpim mipela long painim ol dispela samting; (3) ol tok bilong yu bilong salim pas long mipela, olsem atres, telefon namba, na e-meil atres; (4) tok yu bin mekim olsem yu bilip tru olsem man i gat kopirait o agent bilong em i no orait long ol samting i stap long dispela websait.']
['(5) Yu mas raitim wanpela pepa na putim han bilong yu bilong tokaut olsem ol tok bilong dispela pepa i stret na yu gat namba long mekim ol samting bilong lukautim ol rait bilong man i bin wokim ol samting.']
['Na (6) wanpela sain o sain bilong man i gat rait long wokim dispela samting o bilong wanpela man i gat namba long mekim wok bilong dispela man.']
['Sapos yu no raitim olgeta dispela tok, dispela inap mekim na ol i no stretim kwik komplen bilong yu.']
['Kontektim']
['Plis salim e-mail long mipela sapos yu gat sampela askim o tingting.']
What are the risk factors for breast cancer?
There are several risk factors for breast cancer, some of which are modifiable and others that are not.
Here are some of the most common risk factors:
1. Age: The risk of developing breast cancer increases with age, with most cases occurring in women over the age of 50.
2. Family history: Having a close relative, such as a mother, sister, or daughter, with breast cancer increases your risk.
3. Genetic mutations: Certain inherited gene mutations, such as BRCA1 and BRCA2, increase the risk of developing breast cancer.
4. Reproductive history: Early menarche (start of menstruation), late menopause, and having no children or having the first child after age 30 can increase the risk.
5. Hormone replacement therapy: Long-term use of combined estrogen and progesterone hormone therapy after menopause can increase the risk.
6. Alcohol consumption: Drinking alcohol increases the risk of breast cancer.
7. Obesity: Being overweight or obese increases the risk, especially after menopause.
8. Physical activity: Lack of physical activity can increase the risk.
9. Radiation exposure: Exposure to high doses of radiation, particularly during childhood, can increase the risk.
10. Breast density: Women with dense breasts have a higher risk of developing breast cancer.
11. Menstrual history: Women who started menstruating early (before age 12) or went through menopause late (after age 55) have a slightly higher risk.
12. Breastfeeding: Women who have never breastfed have a slightly higher risk of developing breast cancer.
It is important to note that having one or more risk factors does not mean that a person will definitely develop breast cancer, and not having any risk factors does not guarantee that a person will not develop breast cancer.
However, understanding these risk factors can help individuals make informed decisions about their health and potentially reduce their risk.
Disclaimer: medical
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Please note the neural net that generates answers to the questions, is specially inaccurate when it comes to numeric content. For example, the number of people diagnosed with a specific disease.
Always seek the advice of your doctor or other qualified health provider regarding a medical condition. Never disregard professional medical advice or delay in seeking it because of something you have read on this website. If you think you may have a medical emergency, call 911 or go to the nearest emergency room immediately. No physician-patient relationship is created by this web site or its use. Neither BioMedLib nor its employees, nor any contributor to this web site, makes any representations, express or implied, with respect to the information provided herein or to its use.
Disclaimer: copyright
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['Klostu']
['BioMedLib i yusim ol kompiuta (machine-learning algorithms) long kamapim ol askim na bekim.']
['Pastaim mipela i skelim 35 milion buk bilong ol saientis long ol buk na nius bilong ol dokta na saientis long ol marasin bilong ol man.']
