Wanem ol samting inap mekim na man i kisim sik kensa bilong waitlewa?
Sampela samting inap mekim na man i kisim sik kensa bilong waitlewa em:
1. Smok: Smok em i nambawan as bilong sik kensa bilong waitlewa.
Sapos man i smok planti sigaret long olgeta de na em i smok inap planti yia, dispela inap mekim na em i kisim sik bilong smok.
2. Smok bilong man i no smok: Sapos man i stap klostu long smok bilong man i no smok, dispela inap mekim na em i kisim sik kensa bilong waitlewa.
3. Radon gas: Sapos man i stap klostu long planti radon gas, em wanpela kain ges i save kamapim ol samting nogut, dispela inap mekim na man inap kisim sik kensa long waitlewa.
4. Asbest na ol narapela samting i save kamapim sik kensa: Asbest, arsenik, krom, nikel, sit bilong paia, kolta, na ol narapela samting inap kamapim sik kensa long waitlewa.
5. Bagarapim win: Sapos man i stap longpela taim long ples i gat win nogut, na moa yet long ol taun, dispela inap mekim na em i kisim sik kensa bilong waitlewa.
6. Famili i gat sik kensa: Sapos famili i gat sik kensa bilong waitlewa, dispela inap mekim na man i kisim dispela sik.
7. Ol man i gat sik long waitlewa: Ol man i gat sik long waitlewa olsem sik bilong waitlewa i save pasim waitlewa (COPD) o sik TB, ol inap kisim sik kensa bilong waitlewa.
8. Ol lapun: Taim man i go lapun, dispela inap mekim na em i kisim sik kensa bilong waitlewa, na planti man i kisim dispela sik ol i winim pinis 65 krismas.
9. Man o meri: Ol man i save kisim sik kensa bilong waitlewa, winim ol meri.
10. Radiation therapy: Sapos bipo ol i bin givim sampela kain marasin long bros bilong stretim sampela narapela sik kensa, dispela inap mekim na man i kisim sik kensa bilong waitlewa.
11. Kaikai: Sapos yu no kaikai planti prut na kumu samting, dispela inap mekim na yu kisim sik kensa bilong waitlewa.
12. Dring planti alkohol: Sapos man i dring planti tumas alkohol, dispela inap mekim na em i kisim sik kensa bilong waitlewa.
13. Ol samting i stap long skin bilong mama: Sampela senis i kamap long skin bilong mama inap mekim na man i kisim sik kensa bilong waitlewa.
Em i bikpela samting long tingim olsem sapos yu gat wanpela o sampela bilong ol dispela samting i mekim na yu inap kisim sik kensa, dispela i no makim olsem yu bai kisim sik kensa bilong waitlewa, na sampela man i kisim sik kensa bilong waitlewa ol i no gat ol dispela samting.
Tasol sapos yu no kisim planti marasin samting bilong daunim dispela sik, dispela inap helpim yu long abrusim sik kensa bilong waitlewa.
Jin YJ, Tang W, Huang Y, Wang JW, Hou DH, Qi LL, Zhao SJ, Wu N: [Risk factors for lung cancer based on low-dose computed tomography screening]. Zhonghua Zhong Liu Za Zhi. 2020, 42 (3): 222-227.
Hosseini M, Naghan PA, Karimi S, SeyedAlinaghi S, Bahadori M, Khodadad K, Mohammadi F, Kaynama K, Keynama K, Masjedi MR: Environmental risk factors for lung cancer in Iran: a case-control study. Int J Epidemiol. 2009, 38 (4): 989-96.
Zhou X, Hu J, Zhang C, Zhan Y, Song Y, Fan W, Hu Z, Yang H, Yang Q, Wu D, Li F, Li D, Nie R: Clinical characteristics and risk factors for in-hospital mortality of lung cancer patients with COVID-19: A multicenter, retrospective, cohort study. Thorac Cancer. 2021, 12 (1): 57-65.
Liu X, Fan Y, Jiang Y, Xiang J, Wang J, Sun Z, Ren G, Yao S, Chang R, Zhao Y, Qiao Y, Zhou Q: [A cohort study on risk factors of lung cancer in Yunnan tin miners]. Zhongguo Fei Ai Za Zhi. 2013, 16 (4): 184-90.
Aoun J, Saleh N, Waked M, Salamé J, Salameh P: Lung cancer correlates in Lebanese adults: a pilot case--control study. J Epidemiol Glob Health. 2013, 3 (4): 235-44.
Chan-Yeung M, Koo LC, Ho JC, Tsang KW, Chau WS, Chiu SW, Ip MS, Lam WK: Risk factors associated with lung cancer in Hong Kong. Lung Cancer. 2003, 40 (2): 131-40.
['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 lung cancer?
The risk factors for lung cancer include:
1. Smoking: Cigarette smoking is the leading cause of lung cancer.
The risk increases with the number of cigarettes smoked per day and the number of years a person has smoked.
2. Secondhand smoke: Exposure to secondhand smoke can increase the risk of lung cancer in non-smokers.
3. Radon gas: Exposure to high levels of radon gas, a naturally occurring radioactive gas, can increase the risk of lung cancer.
4. Asbestos and other carcinogens: Exposure to asbestos, arsenic, chromium, nickel, soot, tar, and other substances can cause lung cancer.
5. Air pollution: Long-term exposure to air pollution, particularly in urban areas, may slightly increase the risk of lung cancer.
6. Family history: A family history of lung cancer may increase a person's risk.
7. Personal history of lung disease: People with a history of lung diseases such as chronic obstructive pulmonary disease (COPD) or tuberculosis may have an increased risk of lung cancer.
8. Age: The risk of lung cancer increases with age, with most cases occurring in people over the age of 65.
9. Gender: Men are more likely to develop lung cancer than women.
10. Radiation therapy: Previous radiation therapy to the chest for other cancers can increase the risk of lung cancer.
11. Diet: A diet low in fruits and vegetables may increase the risk of lung cancer.
12. Alcohol consumption: Heavy alcohol consumption may increase the risk of lung cancer.
13. Genetics: Certain genetic mutations may increase the risk of lung cancer.
It is important to note that having one or more of these risk factors does not necessarily mean a person will develop lung cancer, and some people who develop lung cancer may not have any known risk factors.
However, reducing or avoiding exposure to these risk factors can help lower the chances of developing lung cancer.
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.
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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.']
