Vuvabyi bya chukele byi ni khombo ku fikela kwihi?
Vuvabyi bya chukele i vuvabyi lebyi nga ni khombo naswona byi nga ha dlaya.
Hi ku ya hi Vandla ra Rihanyo ra Misava Hinkwayo (WHO), vuvabyi bya chukele hi byona byi vangaka mafu lama tlulaka 1,5 wa timiliyoni hi lembe, naswona byi hoxa xandla swinene eka mavabyi man'wana yo tanihi vuvabyi bya mbilu, vuvabyi byo oma swirho ni ku tsandzeka ka tinso.
Hi 2019, vuvabyi bya chukele a byi ri xivangelo xa vukaye xa rifu emisaveni hinkwayo, hi ku pimanyeta mafu ya 1,5 wa timiliyoni lama vangiwaka hi vuvabyi lebyi hi ku kongoma.
Hambiswiritano, nhlayo ya vanhu lava dlayiwaka hi vuvabyi bya chukele yi nga ha va yi le henhla swinene, tanihi leswi hakanyingi byi nga vikiwiki tanihi xivangelo xa rifu.
Ku engetela eka vuyelo lebyi kongomeke bya vuvabyi bya chukele, vuvabyi lebyi byi nga ha tlhela byi vanga swiphiqo swo hambana-hambana leswi nga ha xungetaka vutomi.
Swiphiqo leswi swi katsa vuvabyi bya mbilu, ku oma ka tisele ta ngati, ku tsandzeka ka tinso, ku vaviseka ka misiha ni ku lahlekeriwa hi mahlo.
Vanhu lava nga ni vuvabyi bya chukele va tala ku tluleriwa hi mavabyi naswona timbanga ta vona ti hola hi ku nonoka, leswi nga ha vangaka swiphiqo leswikulu hambi ku ri rifu.
I swa nkoka ku xiya leswaku loko munhu a tshunguriwa hi ndlela leyinene, makhombo lama fambisanaka ni vuvabyi bya chukele ma nga hunguteka swinene.
Leswi swi katsa ku lawula kahle mpimo wa chukele engatini, ku kamberiwa nkarhi na nkarhi ni ku lawula swilo swin'wana leswi nga vangaka vuvabyi byo fana ni nsusumeto wa le henhla wa ngati ni mpimo wa kholesteroli.
Loko vanhu va swi kota ku lawula vuvabyi bya chukele, va nga hunguta khombo ro khomiwa hi mavabyi lama nga ha vaka kona ni ku antswisa rihanyo ra vona.
Lin YP, Lu TH: Trends in death rate from diabetes according to multiple-cause-of-death differed from that according to underlying-cause-of-death in Taiwan but not in the United States, 1987-2007. J Clin Epidemiol. 2012, 65 (5): 572-6.
Zhu M, Li J, Li Z, Luo W, Dai D, Weaver SR, Stauber C, Luo R, Fu H: Mortality rates and the causes of death related to diabetes mellitus in Shanghai Songjiang District: an 11-year retrospective analysis of death certificates. BMC Endocr Disord. 2015, 15 (): 45.
McFarland KF, Hemaya E: Neonatal mortality in infants of diabetic mothers. Diabetes Care. , 8 (4): 333-6.
Tilghman J: Obesity and diabetes in African American women. ABNF J. , 14 (3): 66-8.
Will JC, Casper M: The contribution of diabetes to early deaths from ischemic heart disease: US gender and racial comparisons. Am J Public Health. 1996, 86 (4): 576-9.
Shigeta Y, Kikkawa R, Kobayashi N, Katabami J: A community study of diabetes in a population with a high diabetes mortality rate. Tohoku J Exp Med. 1983, 141 Suppl (): 257-60.
Danion F, Letscher-Bru V, Guitard J, Sitbon K, Dellière S, Angoulvant A, Desoubeaux G, Botterel F, Bellanger AP, Gargala G, Uhel F, Bougnoux ME, Gerber V, Michel J, Cornu M, Bretagne S, Lanternier F: Coronavirus Disease 2019-Associated Mucormycosis in France: A Rare but Deadly Complication. Open Forum Infect Dis. 2022, 9 (2): ofab566.
['Xihlambanyo xa vutihlamuleri: swa vutshunguri']
['Website leyi yi endleriwe ku dyondzisa ni ku nyika rungula ntsena naswona a yi nyiki switsundzuxo swa vutshunguri kumbe mintirho ya vativi va swa vutshunguri.']
['Rungula leri nyikeriweke a ri fanelanga ri tirhisiwa ku kambela kumbe ku tshungula xiphiqo xa rihanyo kumbe vuvabyi, naswona lava lavaka xitsundzuxo xa vutshunguri va fanele va vonana ni dokodela la nga ni mpfumelelo.']
['Xiya leswaku ndlela leyi ti-neural net ti hlamulaka swivutiso ha yona a yi pakanisi ngopfu loko ku vulavuriwa hi tinomboro, to tanihi nhlayo ya vanhu lava khomiweke hi vuvabyi byo karhi.']
["Minkarhi hinkwayo kombela xitsundzuxo eka dokodela wa wena kumbe eka muongori la fanelekaka malunghana ni xiyimo xa rihanyo ra wena. U nga tshuki u honisa xitsundzuxo xa dokodela kumbe u hlwela ku xi lava hikwalaho ka leswi u swi hlayeke eka website leyi. Loko u ehleketa leswaku u le xiyin'weni xa xihatla xa rihanyo, bela riqingho eka 911 kumbe u ya ekamareni ra xihatla leri nga ekusuhi na wena hi ku hatlisa. A ku na vuxaka bya dokodela ni muvabyi lebyi tumbuluxiweke hi website leyi kumbe ku tirhisiwa ka yona. BioMedLib kumbe vatirhi va yona, kumbe un'wana ni un'wana la hoxaka xandla eka website leyi, a nga endli switiyisekiso, leswi nga erivaleni kumbe leswi nga erivaleni, malunghana ni rungula leri nga laha kumbe ku tirhisiwa ka rona."]
['Ku ala ku byarha vutihlamuleri: mfanelo yo tsala']
['Nawu wa Digital Millennium Copyright Act wa 1998, 17 U.S.C. § 512 (DMCA) wu nyika tindlela ta ku tihlanganisa na vini va timfanelo ta vuhleri lava va tshembaka leswaku swilo leswi humelelaka eka Internet swi tlula timfanelo ta vona ehansi ka nawu wa vuhleri wa U.S.']
['Loko u tshemba leswaku rungula kumbe swilo leswi kumekaka eka website ya hina kumbe eka mintirho ya hina swi tlula mfanelo ya wena yo endla swilo, wena (kumbe muyimeri wa wena) u nga hi rhumela xitiviso u kombela leswaku rungula kumbe swilo leswi swi susiwa kumbe swi siveriwa.']
['Switiviso swi fanele ku rhumeriwa hi ku tsala hi imeyili (languta eka xiyenge xa "Vuxaka" eka adirese ya imeyili).']
["DMCA yi lava leswaku xitiviso xa wena xa ku tlula nawu wa mfanelo ya ku tsala xi katsa mahungu lawa landzelaka: (1) nhlamuselo ya ntirho lowu nga na mfanelo ya ku tsala lowu ku vuriwaka leswaku wu tluriwile; (2) nhlamuselo ya leswi ku vuriwaka leswaku swi tlula nawu wa ku tsala ni mahungu lama ringaneke ku hi pfumelela ku kuma leswi nga endzeni; (3) mahungu ya ku tihlanganisa na wena, ku katsa ni adirese ya wena, nomboro ya riqingho na adirese ya imeyili; (4) xitiviso xa wena xa leswaku u ni ripfumelo ra leswaku leswi nga endzeni hi ndlela leyi ku vilelaka ha yona a swi pfumeleriwanga hi n'wini wa mfanelo ya ku tsala, kumbe muyimeri wa yena, kumbe hi ku tirha ka nawu wihi na wihi; "]
['(5) xitiyisiso xa wena, lexi sayiniweke ehansi ka nxupulo wa ku hemba, xa leswaku mahungu lama nga eka xitiviso i ntiyiso ni leswaku u na matimba yo tirhisa timfanelo ta vuqambi leti ku vuriwaka leswaku ti tluriwile;']
["na (6) ku sayina ka xiviri kumbe ka elektroniki ka n'wini wa mfanelo ya vuqambi kumbe munhu la pfumeleriweke ku endla hi vito ra n'wini wa mfanelo ya vuqambi. "]
['Loko u nga nghenisi vuxokoxoko hinkwabyo lebyi nga laha henhla swi nga endla leswaku ku tirhana ni xivilelo xa wena swi hlwela.']
['Ku Tihlanganisa']
['Hi kombela u hi rhumela imeyili hi xivutiso/xiringanyeto xihi na xihi.']
How deadly is diabetes?
Diabetes is a serious and potentially deadly disease.
According to the World Health Organization (WHO), diabetes is the direct cause of over 1.5 million deaths per year, and it is a major risk factor for other diseases such as cardiovascular disease, stroke, and kidney failure.
In 2019, diabetes was the ninth leading cause of death globally, with an estimated 1.5 million deaths directly attributed to the disease.
However, the number of deaths attributable to diabetes is likely much higher, as it is often underreported as a cause of death.
In addition to the direct effects of diabetes, the disease can also lead to various complications that can be life-threatening.
These complications include heart disease, stroke, kidney failure, nerve damage, and vision loss.
People with diabetes are also at a higher risk of developing infections and experiencing slower wound healing, which can lead to severe complications and even death.
It is important to note that with proper management and treatment, the risks associated with diabetes can be significantly reduced.
This includes maintaining good blood sugar control, regular check-ups, and managing other risk factors such as high blood pressure and cholesterol levels.
By managing diabetes effectively, individuals can reduce their risk of developing complications and improve their overall health outcomes.
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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Disclaimer: copyright
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['Hi ku komisa']
['BioMedLib yi tirhisa tikhompyuta leti nga lo endliwa (ti-algorithm ta michini) ku endla swivutiso ni tinhlamulo.']
['Hi sungula hi minkandziyiso ya swa vutshunguri ya 35 wa timiliyoni ya PubMed/Medline. Nakambe, matluka ya Web ya RefinedWeb.']
