Lefu la tsoekere le ka ama batho ba lilemo tsohle, ba morabe o mong le o mong kapa ba bong bo fapaneng.
Leha ho le joalo, ho na le lintho tse itseng tse ka eketsang kotsi ea hore u tšoaroe ke lefu la tsoekere, tse akarelletsang:
1. Histori ea lelapa: Ho ba le motsoali kapa ngoan'eno ea nang le lefu la tsoekere ho eketsa kotsi ea ho ba le lefu lena.
2. Lilemo: Ho ba kotsing ea ho tšoaroa ke lefu la tsoekere la mofuta oa 2 ho eketseha ha motho a ntse a hōla, haholo-holo ka mor'a lilemo tse 45.
3. Boima: Ho ba motenya kapa ho nona haholo ho eketsa kotsi ea ho tšoaroa ke lefu la tsoekere la mofuta oa 2.
4. Ho se ikoetlise: Ho se ikoetlise kamehla ho ka eketsa kotsi ea lefu la tsoekere la mofuta oa 2.
5. Morabe le morabe: Merabe e itseng le merabe e meng, e kang ea Maafrika a Amerika, ea Masepanishe/Masepanishe a Amerika, ea Matsoalloa a Amerika, ea Maasia a Amerika le ea Lihlekehleke tsa Pacific, e kotsing e khōlō ea ho tšoaroa ke lefu la tsoekere la mofuta oa 2.
6. Lefu la tsoekere nakong ea bokhachane: Basali ba kileng ba tšoaroa ke lefu la tsoekere nakong ea bokhachane ba kotsing e khōlō ea ho tšoaroa ke lefu la tsoekere la mofuta oa 2 hamorao bophelong.
7. Polycystic ovary syndrome (PCOS): Basali ba nang le PCOS ba kotsing e khōlō ea ho tšoaroa ke lefu la tsoekere la mofuta oa 2.
8. Ho ba le lefu la tsoekere pele ho lefu la tsoekere: Batho ba nang le lefu la tsoekere pele ho lefu la tsoekere ba na le tsoekere e ngata maling ho feta e tloaelehileng empa e sa lekana hore e ka ba lefu la tsoekere.
Ba kotsing e khōlō ea ho tšoaroa ke lefu la tsoekere la mofuta oa 2.
9. Khatello e phahameng ea mali: Ho ba le khatello e phahameng ea mali (khatello e phahameng ea mali) ho ka eketsa kotsi ea ho tšoaroa ke lefu la tsoekere la mofuta oa 2.
10. Cholesterol le triglyceride tse sa tloaelehang: Cholesterol le triglyceride tse ngata li ka eketsa kotsi ea lefu la tsoekere la mofuta oa 2.
11. Ho ba le lefu la pelo: Batho ba kileng ba ba le lefu la pelo ba kotsing e khōlō ea ho tšoaroa ke lefu la tsoekere la mofuta oa 2.
Ke habohlokoa ho hlokomela hore le hoja lintho tsena li ka eketsa kotsi ea ho tšoaroa ke lefu la tsoekere, hase bohle ba nang le lintho tsena tse ka bakang lefu lena ba tla ba le lona.
Ho fetola tsela eo u phelang ka eona, e kang ho ja lijo tse nang le phepo e nepahetseng, ho boloka boima ba'mele bo le boemong bo botle le ho ikoetlisa kamehla, ho ka thusa ho fokotsa kotsi ea ho tšoaroa ke lefu la tsoekere.
Swift S, White S: Could islet transplantation be a potential cure for diabetes? Nurs Times. , 99 (15): 48-9.
Anderson BJ: Who benefits from intensive therapy in type 1 diabetes? A fresh perspective, more questions, and hope. Diabetes Care. 2003, 26 (7): 2204-6.
Lisenby KM, Meyer A, Slater NA: Is an SGLT2 inhibitor right for your patient with type 2 diabetes? J Fam Pract. 2016, 65 (9): 587-93.
['Tlhokomeliso: tsa bongaka']
["Websaete ena e etselitsoe ho ruta le ho fana ka boitsebiso feela'me ha e fane ka keletso ea bongaka kapa litšebeletso tsa litsebi."]
["Boitsebiso bo fanoeng ha boa lokela ho sebelisoa ho hlahloba kapa ho phekola bothata ba bophelo bo botle kapa lefu,'me ba batlang keletso ea bongaka ba lokela ho buisana le ngaka e nang le lengolo la tumello."]
['Ka kōpo hlokomela hore neural net e hlahisang likarabo lipotsong, ha e nepahale haholo-holo ha ho tluoa linomorong.']
["Kamehla batla keletso ea ngaka ea hao kapa mofani e mong ea tšoanelehang oa tlhokomelo ea bophelo mabapi le boemo ba bongaka. Le ka mohla u se ke ua hlokomoloha keletso ea setsebi sa bongaka kapa ua lieha ho e batla ka lebaka la ntho eo u e balileng websaeteng ena. Haeba u nahana hore u ka 'na ua ba le boemo ba tšohanyetso ba bongaka, letsetsa 911 kapa u ee kamoreng ea tšohanyetso e haufi hang-hang. Ha ho kamano ea ngaka le mokuli e bōptjoang ke websaeteng ena kapa tšebeliso ea eona. BioMedLib kapa basebetsi ba eona, kapa motho leha e le ofe ea tlatsetsang ho websaeteng ena, ha a etse litemoso, tse hlakileng kapa tse sa hlakang, mabapi le boitsebiso bo fanoeng mona kapa tšebeliso ea eona."]
['Tlhokomeliso: litokelo tsa bangoli']
['Molao oa Digital Millennium Copyright Act oa 1998, 17 U.S.C. § 512 (DMCA) o fana ka litokelo tsa beng ba litokelo tsa bangoli ba lumelang hore thepa e hlahang Inthaneteng e hatakela litokelo tsa bona tlasa molao oa litokelo tsa bangoli ba U.S. ']
['Haeba u lumela ka tumelo e ntle hore litaba leha e le life kapa thepa e fumanehang mabapi le websaeteng kapa litšebeletso tsa rona e tlōla litokelo tsa hau tsa molao, uena (kapa moemeli oa hau) a ka re romella tsebiso e kōpang hore litaba kapa thepa e tlosoe, kapa ho fihlella ho eona ho thibeloe. ']
['Ditsebiso di tlameha ho romelwa ka lengolo ka imeile (bona karolo ya "Ho iteanya" bakeng sa aterese ya imeile). ']
["DMCA e hloka hore tsebiso ea hao ea ho tlōla ha molao ho boleloang hore e na le boitsebiso bo latelang: (1) tlhaloso ea mosebetsi o sirelelitsoeng ka molao o boleloang hore o tlōloa; (2) tlhaloso ea litaba tse boleloang hore li tlōla molao le boitsebiso bo lekaneng ho re lumella ho fumana litaba; (3) boitsebiso ba ho ikopanya le uena, ho akarelletsa aterese ea hau, nomoro ea fono le aterese ea imeile; (4) polelo ea hau ea hore u na le tumelo e ntle ea hore litaba ka tsela e belaelloang ha e lumelloe ke mong'a litokelo tsa molao, kapa moemeli oa eona, kapa ka ts'ebetso ea molao leha e le ofe; "]
['(5) polelo e saennweng ke wena, tlasa kotlo ya ho hlapanya leshano, ya hore tlhahisoleseding e tsebisong e nepahetse le hore o na le matla a ho tiisa ditokelo tsa mongodi tseo ho thweng di a tlolwa; ']
["le (6) ho saena ka letsoho kapa ka elektronike ha mong'a litokelo tsa bangoli kapa motho ea lumeletsoeng ho nka khato lebitsong la mong'a litokelo tsa bangoli. "]
['Ho hloleha ho kenyelletsa tlhahisoleseding yohle e ka hodimo ho ka baka ho dieha ha ho sebetswa tletlebo ya hao.']
['Ho Iteanya']
['Ka kōpo re romelle imeile ka potso / tlhahiso leha e le efe.']
Who gets diabetes?
Diabetes can affect people of any age, race, or gender.
However, certain factors can increase the risk of developing diabetes, including:
1. Family history: Having a parent or sibling with diabetes increases the risk of developing the condition.
2. Age: The risk of type 2 diabetes increases as people get older, especially after the age of 45.
3. Weight: Being overweight or obese increases the risk of developing type 2 diabetes.
4. Physical inactivity: Lack of regular physical activity can increase the risk of type 2 diabetes.
5. Race and ethnicity: Certain racial and ethnic groups, such as African Americans, Hispanic/Latino Americans, Native Americans, Asian Americans, and Pacific Islanders, have a higher risk of developing type 2 diabetes.
6. Gestational diabetes: Women who have had gestational diabetes during pregnancy are at an increased risk of developing type 2 diabetes later in life.
7. Polycystic ovary syndrome (PCOS): Women with PCOS have an increased risk of developing type 2 diabetes.
8. Prediabetes: People with prediabetes have blood glucose levels higher than normal but not high enough to be diagnosed with diabetes.
They are at an increased risk of developing type 2 diabetes.
9. High blood pressure: Having high blood pressure (hypertension) can increase the risk of developing type 2 diabetes.
10. Abnormal cholesterol and triglyceride levels: High cholesterol and triglyceride levels can increase the risk of type 2 diabetes.
11. History of cardiovascular disease: People with a history of cardiovascular disease are at an increased risk of developing type 2 diabetes.
It is important to note that while these factors can increase the risk of developing diabetes, not everyone with these risk factors will develop the condition.
Making lifestyle changes, such as eating a healthy diet, maintaining a healthy weight, and engaging in regular physical activity, can help reduce the risk of developing diabetes.
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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['Hoo e ka bang']
["BioMedLib e sebelisa lik'homphieutha tse iketsang (machine-learning algorithms) ho hlahisa lipotso le likarabo."]
['Re qala ka lingoliloeng tse limilione tse 35 tsa biomedical tsa PubMed/Medline. Hape, maqephe a websaete a RefinedWeb.']
