Hakuna kisababishi kimoja tu cha kansa ya matiti, lakini kuna mambo kadhaa yanayoweza kuongeza hatari ya kupata ugonjwa huo.
Baadhi ya mambo hayo yanatia ndani:
1. Umri: Hatari ya kupata kansa ya matiti huongezeka mwanamke anapozeeka.
2. Historia ya familia: Mwanamke ana hatari kubwa zaidi ya kupata kansa ya matiti ikiwa ana mtu wa ukoo wa karibu (mama, dada, au binti) ambaye amepata kansa ya matiti.
3. Mabadiliko ya chembe za urithi: Mabadiliko fulani ya chembe za urithi, kama vile BRCA1 na BRCA2, huongeza hatari ya kupata kansa ya matiti.
4. Historia ya uzazi: Kuanza hedhi mapema, kumaliza hedhi kwa kuchelewa, na kutokuwa na watoto au kuwa na mtoto wa kwanza baada ya umri wa miaka 30 kunaweza kuongeza hatari ya kupata kansa ya matiti.
5. Tiba ya uingizwaji wa homoni: Wanawake wanaotumia tiba ya uingizwaji wa homoni kwa ajili ya kumalizika kwa hedhi wana hatari kubwa zaidi ya kupata kansa ya matiti.
6. Matumizi ya kileo: Kunywa kileo huongeza hatari ya kupata kansa ya matiti.
7. Kunenepa kupita kiasi: Kunenepa kupita kiasi au kunenepa kupita kiasi huongeza hatari ya kupata kansa ya matiti.
8. Ukosefu wa mazoezi ya mwili: Mtindo wa maisha usio na shughuli nyingi waweza kuongeza hatari ya kupata kansa ya matiti.
9. Kuathiriwa na mnururisho: Kuathiriwa na mnururisho mwingi, hasa wakati wa utotoni, kunaweza kuongeza hatari ya kupata kansa ya matiti.
10. Wingi wa matiti: Wanawake walio na matiti mengi wana hatari kubwa zaidi ya kupata kansa ya matiti.
11. Historia ya hedhi: Wanawake ambao walianza hedhi mapema au walipoteza hedhi marehemu wana hatari kubwa zaidi ya kupatwa na kansa ya matiti.
12. Kunyonyesha: Wanawake ambao hawajawahi kunyonyesha wana hatari kubwa zaidi ya kupatwa na kansa ya matiti.
13. Udhibiti wa uzazi: Wanawake wanaotumia dawa za kuzuia uzazi wana hatari kubwa kidogo ya kupata kansa ya matiti.
Ni muhimu kutambua kwamba kuwa na moja au zaidi ya mambo hayo ya hatari hakumaanishi kwamba mwanamke hakika atapata kansa ya matiti, na wanawake wengi wanaopata kansa ya matiti hawana mambo ya hatari yanayojulikana.
Kwa kuongezea, baadhi ya mambo ya hatari, kama vile umri na historia ya familia, hayawezi kubadilishwa, ilhali mengine, kama vile mambo ya mtindo-maisha, yanaweza kubadilishwa ili kupunguza hatari hiyo.
Yoneda T: Cellular and molecular basis of preferential metastasis of breast cancer to bone. J Orthop Sci. 2000, 5 (1): 75-81.
Demirci S, Eser E, Ozsaran Z, Tankisi D, Aras AB, Ozaydemir G, Anacak Y: Validation of the Turkish versions of EORTC QLQ-C30 and BR23 modules in breast cancer patients. Asian Pac J Cancer Prev. 2011, 12 (5): 1283-7.
Kluttig A, Schmidt-Pokrzywniak A: Established and Suspected Risk Factors in Breast Cancer Aetiology. Breast Care (Basel). , 4 (2): 82-87.
Tabar L, Duffy SW, Yen MF, Warwick J, Vitak B, Chen HH, Smith RA: All-cause mortality among breast cancer patients in a screening trial: support for breast cancer mortality as an end point. J Med Screen. 2002, 9 (4): 159-62.
Gonzalez P, Lim JW, Wang-Letzkus M, Flores KF, Allen KM, Castañeda SF, Talavera GA: Breast Cancer Cause Beliefs: Chinese, Korean, and Mexican American Breast Cancer Survivors. West J Nurs Res. 2015, 37 (8): 1081-99.
Kanusho la dhima: matibabu
Tovuti hii hutolewa kwa madhumuni ya elimu na habari tu na si kutoa ushauri wa matibabu au huduma za kitaaluma.
Habari inayotolewa haipaswi kutumiwa kugundua au kutibu tatizo la afya au ugonjwa, na wale wanaotafuta ushauri wa kibinafsi wa kitiba wanapaswa kushauriana na daktari aliye na leseni.
Tafadhali kumbuka mtandao wa neva ambao hutengeneza majibu ya maswali, ni hasa usio sahihi linapokuja maudhui ya nambari. Kwa mfano, idadi ya watu waliogunduliwa na ugonjwa fulani.
Daima kutafuta ushauri wa daktari wako au mtoa huduma nyingine ya afya waliohitimu kuhusu hali ya matibabu. Kamwe kupuuza ushauri wa matibabu ya kitaaluma au kuchelewesha katika kutafuta yake kwa sababu ya kitu umesoma kwenye tovuti hii. Kama unafikiri unaweza kuwa na dharura ya matibabu, piga simu 911 au kwenda chumba cha dharura karibu mara moja. Hakuna uhusiano daktari-mgonjwa ni kuundwa na tovuti hii au matumizi yake. Wala BioMedLib wala wafanyakazi wake, wala mchangiaji yoyote ya tovuti hii, hufanya uwakilishi wowote, wazi au implicit, kuhusiana na taarifa zinazotolewa hapa au matumizi yake.
Utoaji wa dhima: hakimiliki
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Kama unaamini kwa imani nzuri kwamba maudhui yoyote au nyenzo zilizotolewa kuhusiana na tovuti yetu au huduma inakiuka hakimiliki yako, wewe (au wakala wako) unaweza kutuma sisi taarifa kuomba kwamba maudhui au nyenzo kuondolewa, au upatikanaji wake kuzuiwa.
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(5) taarifa na wewe, saini chini ya adhabu ya ushahidi wa uongo, kwamba habari katika taarifa ni sahihi na kwamba una mamlaka ya kutekeleza haki za hakimiliki ambayo ni madai ya kukiuka;
na (6) saini ya kimwili au ya elektroniki ya mmiliki wa hakimiliki au mtu aliyeidhinishwa kutenda kwa niaba ya mmiliki wa hakimiliki.
Kushindwa kujumuisha habari zote hapo juu kunaweza kusababisha ucheleweshaji wa usindikaji wa malalamiko yako.
Mawasiliano
Tafadhali tutumie barua pepe na swali lolote / pendekezo.
What causes breast cancer?
There is no single cause of breast cancer, but several factors can increase the risk of developing the disease.
Some of these factors include:
1. Age: The risk of breast cancer increases as a woman gets older.
2. Family history: A woman's risk of breast cancer is higher if she has a close relative (mother, sister, or daughter) who has had breast cancer.
3. Genetic mutations: Certain inherited gene mutations, such as BRCA1 and BRCA2, increase the risk of breast cancer.
4. Reproductive history: Early menstruation, late menopause, and having no children or having the first child after age 30 can increase the risk of breast cancer.
5. Hormone replacement therapy: Women who take hormone replacement therapy for menopause have a higher risk of breast cancer.
6. Alcohol consumption: Drinking alcohol increases the risk of breast cancer.
7. Obesity: Being overweight or obese increases the risk of breast cancer.
8. Physical inactivity: A sedentary lifestyle can increase the risk of breast cancer.
9. Radiation exposure: Exposure to high doses of radiation, particularly during childhood, can increase the risk of breast cancer.
10. Breast density: Women with dense breasts have a higher risk of breast cancer.
11. Menstrual history: Women who started menstruating early or went through menopause late have a slightly higher risk of breast cancer.
12. Breastfeeding: Women who have never breastfed have a slightly higher risk of breast cancer.
13. Birth control: Women who use oral contraceptives have a slightly higher risk of breast cancer.
It is important to note that having one or more of these risk factors does not mean that a woman will definitely develop breast cancer, and many women who develop breast cancer have no known risk factors.
Additionally, some risk factors, such as age and family history, cannot be changed, while others, such as lifestyle factors, can be modified to reduce the risk.
Disclaimer: medical
This web site is provided for educational and informational purposes only and does not constitute providing medical advice or professional services.
The information provided should not be used for diagnosing or treating a health problem or disease, and those seeking personal medical advice should consult with a licensed physician.
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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Karibu
BioMedLib hutumia kompyuta za kiotomatiki (algorithms ya kujifunza mashine) kuzalisha jozi za maswali na majibu.
Tunaanza na machapisho milioni 35 ya biomedical ya PubMed/Medline. Pia, kurasa za wavuti za RefinedWeb.
