Machyi ana byin wa hkra hpa lam ni gaw shoihpa nga ai kun?
Dai hta n-ga, ndai lam ni lawm ai:
1. Dinghku hta byin wa ai: Kanu kawa (sh) kahpu kanau ni hta, hkalung ana byin ai nga yang, ana byin chye ai lam grau law wa ai.
Asak: Asak kaba wa ai hte maren, grau nna asak 45 ning jan ai ni hta, Type-2 diabetes ana byin chye ai.
3. Hkum hkrang hta jan ai: Hkum hkrang hta jan ai (sh) hkum hkrang hta shagrau ai gaw, ana byin chye ai lam grau grau jat wa ai.
4. Hkum hkrang n shamu shamawt ai: Hkum hkrang n shamu shamawt ai gaw, ana byin chye ai lam grau jat wa ai.
5. Amyu bawsang (sh) amyu lakung: African American, Hispanic American, Native American hte Asian American zawn re ai amyu lakung nkau mi hta, Type 2 diabetes byin chye ai lam grau nga ai.
6. Ma hkum hta kap ai ana zinli: Ma hkum hta kap ai ana zinli byin ai num ni gaw, hpang de asak kaba wa yang, ana zinli byin chye ai.
7. Polycystic ovary syndrome: Ndai ana lu ai num ni gaw, type 2 diabetes byin chye ai.
8. Metabolic syndrome: Ndai ana ni hta sai rawt, sai hta cholesterol law wa ai hte nshang grupyin kaba wa ai lam ni lawm ai majaw, Type 2 diabetes ana byin chye ai.
9. Ka-ni nang ai: Ka-ni nang ai gaw insulin n lu galaw hkra galaw ya nna, dai gaw Type 2 diabetes byin shangun ai.
10. Prediabetes: Prediabetes (sh) sai hta na chyaru grau law ai gaw, Type 2 diabetes byin wa na matu shoihpa grau nga ai.
11. Nau n li ai ma shangai ai: Nau n li ai ma shangai yang, asak kaba wa yang, ana zinli byin chye ai.
12. Sai rawt ai: Sai rawt ai gaw, sai ana byin chye ai lam grau grau jat wa ai.
13. N kaja ai cholesterol hte triglyceride ni: Triglyceride ni law wa nna, n kaja ai cholesterol (HDL) ni yawm wa ai gaw, Type 2 diabetes byin wa hkra grau galaw ya ai.
14. Yup ten hta nsa n shang ai (apnea): Yup ten hta nsa n shang ai (apnea) ana lu ai ni gaw, Type 2 diabetes ana byin chye ai.
15. Myit tsang lam: Aten galu myit tsang ai gaw, sai rawt ana byin wa na matu shoihpa grau nga ai.
16. Tsi nkau mi: Ana htang tsi (steroid) hte myit n pyaw ai tsi (antipsychotic) ni gaw, ana htang tsi hpan 2 byin wa hkra grau sawng shangun ai.
17. Hkum machyi ai lam: Hkum machyi ai lam gaw, sai hta ana byin chye ai lam hpe grau jat shangun ai.
18. Hkum shan bungli n galaw ai lam: Hkum shan bungli n galaw ai lam gaw, sai chyup ana byin chye ai lam grau jat wa ai.
19. Sau hte kalori law ai lusha: N kaja ai sau hte kalori law ai lusha ni sha yang, Type 2 diabetes byin wa na matu grau byin chye ai.
20. Tsa chyaru lu ai lam: Tsa chyaru lu ai lam gaw, sai htaw ana byin wa na matu shoihpa grau nga ai.
21. Yup n lu ai: Yup n lu ai gaw, sai ana byin chye ai lam grau jat wa chye ai.
22. Nbung shapoi ai lam: Nbung shapoi ai lam gaw, sai htaw ana byin chye ai lam hpe grau jat shangun ai.
23. Ana kap ai lam nkau mi: Hkali ana zawn re ai ana kap ai lam nkau mi gaw, ana zinli byin chye ai lam grau jat wa shangun ai.
24. Homocysteine (hkum shan hta rawng ai) grai law ai: Hkum shan hta rawng ai amino acid (hkum shan hta rawng ai) grai law ai gaw, Type 2 diabetes byin wa na matu shoihpa grau nga ai.
25. Uric acid grai law ai: Hkum hta pru ai uric acid grai law ai gaw, Type 2 diabetes byin wa hkra shoihpa nga ai.
26. C-reactive protein grai law ai: Hkum hkrang hta ana byin ai lam madun ai C-reactive protein grai law ai gaw, Type 2 diabetes byin wa na matu shoihpa grau nga ai.
27. Fibrinogen (sh) sai kap ai hta lawm ai protein) grai law ai: Dai gaw Type 2 diabetes byin wa na matu shoihpa grau nga ai.
28. PAI-1 grai law ai: Sai hkyet ai hta lawm ai PAI-1 ngu ai sai rawt ai hta lawm ai, sai rawt ai hta lawm ai, sai rawt ai hta lawm ai, sai rawt ai hta lawm ai, sai rawt ai hta lawm ai, sai rawt ai hta lawm ai, sai rawt ai hta lawm ai, sai rawt ai hta lawm ai, sai rawt ai hta lawm ai, sai rawt ai hta lawm ai, sai rawt ai hta lawm ai, sai rawt ai hta lawm ai.
29. Leptin (sh) sha mayu ai lam hpe hkang lu ai hormone) grai law ai gaw, Type 2 diabetes byin wa na matu shoihpa grau nga ai.
30. Resistin (hkum hkrang hta rawng ai hormone) grai law ai: Insulin n lu galaw ai lam hta lawm ai resistin ngu ai hormone grai law ai gaw,
King WM, Saseen JJ, Anderson SL: Characterization of diabetes risk factors in patients prescribed chronic statin therapy. Ther Adv Chronic Dis. 2014, 5 (5): 206-11.
Bielinski SJ, Pankow JS, Rasmussen-Torvik LJ, Bailey K, Li M, Selvin E, Couper D, Vazquez G, Brancati F: Strength of association for incident diabetes risk factors according to diabetes case definitions: the Atherosclerosis Risk in Communities Study. Am J Epidemiol. 2012, 175 (5): 466-72.
Gangwisch JE, Gross R, Malaspina D: Differential Associations Between Depression, Risk Factors for Insulin Resistance and Diabetes Incidence in a Large U.S. Sample. Isr J Psychiatry Relat Sci. 2015, 52 (2): 85-90.
Leiva AM, Martínez MA, Petermann F, Garrido-Méndez A, Poblete-Valderrama F, Díaz-Martínez X, Celis-Morales C: [Risk factors associated with type 2 diabetes in Chile]. Nutr Hosp. 2018, 35 (2): 400-407.
Chatterjee R, Maruthur NM, Edelman D: Novel Risk Factors for Type 2 Diabetes in African-Americans. Curr Diab Rep. 2015, 15 (12): 103.
Higa S, Maesato A, Ishigaki S, Suenari K, Chen YJ, Chen SA: Diabetes and Endocrine Disorders (Hyperthyroidism/Hypothyroidism) as Risk Factors for Atrial Fibrillation. Card Electrophysiol Clin. 2021, 13 (1): 63-75.
Brodalko B: [Diabetes risk factors in the Regional Railway Hospital in Lublin, described on the basis of medical documentation]. Wiad Lek. 2000, 53 (5-6): 255-61.
['N hkap la ai lam: tsi mawan']
['Ndai website gaw hpaji jaw ai hte chye na matu sha galaw da ai.']
['Ndai laika buk hta lawm ai lam ni hpe hkamja lam hte seng nna, ana jep ai (sh) tsi ai lam hta n mai jai lang ai.']
['Ga san ni a mahtai hpe shapraw ya ai neural net gaw, ga shadawn, masha langai ngai hta ana langai ngai mu lu ai lam ni hpe madun ai shaloi, n hkrak ai.']
['Ndai website hta mu lu ai lam ni a majaw, tsi sarawun ni a hpaji jaw ga hpe galoi mung n madat ai sha, hpang hkrat ai lam n galaw u. Tsi hte seng nna, ra kadawn nga ai lam nga yang, 911 hpe shaga u. Ndai website hte dai hpe lang ai lam gaw, tsi sarawun hte machyi masha lapran hku hkau lam n nga ai. BioMedLib hte shi a bungli galaw masha ni, ndai website hta shang lawm ai ni kadai mung, ndai kaw lawm ai shiga hte seng nna, tsun mayu ai lam (sh) tsun ai hku nna, hpa ga sadi jaw ai lam n nga ai.']
['Hti na ahkang n nga ai: copyright']
['1998 ning Digital Millennium Copyright Act, 17 U.S.C. § 512 (the DMCA) gaw Internet kaw mara da ai lam ni gaw US copyright law npu na madu a ahkaw ahkang hpe tawt lai ai ngu kam ai copyright madu ni hpe ahkaw ahkang jaw da ai.']
['Anhte a website hte seng nna, (sh) anhte a magam bungli ni hte seng nna, mara shagun da ai lam ni gaw, na a copyright hpe tawt lai ai ngu nna nang kam ai nga yang, dai lam ni hpe dawm kau na matu (sh) dai ni hpe n mai lu hkra pat kau na matu, nang (sh) na a kasa gaw anhte hpe shana mai ai.']
['Dai shiga ni hpe laika hte ka nna email hte shagun ra ai (email address hpe "Contact" daw kaw mu lu na re).']
['Dai DMCA gaw, na a copyright tawt lai ai lam hpe shana ai hta lawu na lam ni lawm ra ai: (1) tawt lai ai ngu ai copyright lu ai bungli a lam; (2) tawt lai ai ngu ai lam hte seng ai lam hte dai hpe mu tam lu na matu anhte hpe karum ya ai lam; (3) na a matut mahkai lam, na a shara, phone number hte email hte seng ai lam ni; (4) nang mara shagun ai lam gaw copyright madu, shi a agent (sh) tara upadi hte n seng ai ngu ai hpe nang kam ai lam.']
['(5) N teng n man ai sakse hkam ai lam hte seng nna, nang masat da ai hte maren, shana ai lam hta lawm ai shiga ni gaw teng man ai hte, nang tawt lai ai ngu ai copyright hpe hkan sa na ahkang nga ai lam.']
['hte (6) copyright madu a mying hte galaw na ahkang lu ai wa a hkum hkrang (sh) electronic signature.']
['Lahta na lam ni hpe n ka bang ai rai yang, nang shagun ai laika hpe hpang hkrat ai hte n mai htang ai.']
['Matut Mahkai U']
['Gara hku mung san mayu yang email hte shana ya rit.']
What are the risk factors for diabetes?
There are several risk factors for diabetes, including:
1. Family history: Having a parent or sibling with diabetes increases your risk.
2. Age: The risk of type 2 diabetes increases as you get older, especially after age 45.
3. Weight: Being overweight or obese increases your risk.
4. Physical inactivity: Lack of exercise can increase your risk.
5. Race or ethnicity: Certain ethnic groups, such as African Americans, Hispanic Americans, Native Americans, and Asian Americans, have a higher risk of developing type 2 diabetes.
6. Gestational diabetes: Women who have had gestational diabetes during pregnancy are at higher risk of developing type 2 diabetes later in life.
7. Polycystic ovary syndrome: Women with this condition have a higher risk of developing type 2 diabetes.
8. Metabolic syndrome: This cluster of conditions, including high blood pressure, high cholesterol, and large waist circumference, increases the risk of type 2 diabetes.
9. Smoking: Smoking can increase insulin resistance, which can lead to type 2 diabetes.
10. Prediabetes: Having prediabetes, or higher than normal blood sugar levels, increases the risk of developing type 2 diabetes.
11. Low birth weight: Babies with low birth weight have a higher risk of developing type 2 diabetes later in life.
12. High blood pressure: Having high blood pressure increases the risk of developing type 2 diabetes.
13. Abnormal cholesterol and triglyceride levels: High levels of triglycerides and low levels of HDL (good) cholesterol increase the risk of type 2 diabetes.
14. Sleep apnea: People with sleep apnea have an increased risk of developing type 2 diabetes.
15. Stress: Chronic stress can increase the risk of developing type 2 diabetes.
16. Certain medications: Some medications, such as steroids and antipsychotics, can increase the risk of developing type 2 diabetes.
17. Inflammation: Chronic inflammation can increase the risk of developing type 2 diabetes.
18. Sedentary lifestyle: A sedentary lifestyle can increase the risk of developing type 2 diabetes.
19. High-fat, high-calorie diet: Consuming a diet high in unhealthy fats and calories can increase the risk of developing type 2 diabetes.
20. Alcohol consumption: Excessive alcohol consumption can increase the risk of developing type 2 diabetes.
21. Sleep deprivation: Inadequate sleep can increase the risk of developing type 2 diabetes.
22. Air pollution: Exposure to air pollution can increase the risk of developing type 2 diabetes.
23. Certain infections: Certain infections, such as hepatitis C, can increase the risk of developing type 2 diabetes.
24. High levels of homocysteine: High levels of homocysteine, an amino acid, can increase the risk of developing type 2 diabetes.
25. High levels of uric acid: High levels of uric acid, a waste product, can increase the risk of developing type 2 diabetes.
26. High levels of C-reactive protein: High levels of C-reactive protein, a marker of inflammation, can increase the risk of developing type 2 diabetes.
27. High levels of fibrinogen: High levels of fibrinogen, a protein involved in blood clotting, can increase the risk of developing type 2 diabetes.
28. High levels of PAI-1: High levels of PAI-1, a protein involved in blood clotting, can increase the risk of developing type 2 diabetes.
29. High levels of leptin: High levels of leptin, a hormone involved in appetite regulation, can increase the risk of developing type 2 diabetes.
30. High levels of resistin: High levels of resistin, a hormone involved in insulin resistance, can increase the risk of developing
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
The Digital Millennium Copyright Act of 1998, 17 U.S.C. § 512 (the “DMCA”) provides recourse for copyright owners who believe that material appearing on the Internet infringes their rights under U.S. copyright law. If you believe in good faith that any content or material made available in connection with our website or services infringes your copyright, you (or your agent) may send us a notice requesting that the content or material be removed, or access to it blocked. Notices must be sent in writing by email (see 'Contact' section for email address) . The DMCA requires that your notice of alleged copyright infringement include the following information: (1) description of the copyrighted work that is the subject of claimed infringement; (2) description of the alleged infringing content and information sufficient to permit us to locate the content; (3) contact information for you, including your address, telephone number and email address; (4) a statement by you that you have a good faith belief that the content in the manner complained of is not authorized by the copyright owner, or its agent, or by the operation of any law; (5) a statement by you, signed under penalty of perjury, that the information in the notification is accurate and that you have the authority to enforce the copyrights that are claimed to be infringed; and (6) a physical or electronic signature of the copyright owner or a person authorized to act on the copyright owner’s behalf. Failure to include all of the above information may result in the delay of the processing of your complaint.
['Hkrang']
['BioMedLib gaw ga san hte mahtai yan hpe shapraw na matu computer (machine-learning algorithms) ni hpe lang ai.']
['Anhte gaw PubMed/Medline kaw na tsi hpaji hte seng ai laika buk wan 35 hte hpang ai. RefinedWeb kaw na mung re.']