Ọrịa shuga bụ ọrịa a na-ahụkarị, bụ́ nke na-emetụta ọtụtụ nde mmadụ n'ụwa nile.
Dị ka International Diabetes Federation si kwuo, na 2019, ihe dị ka ndị okenye 463 nde dị afọ 20-79 na-ebi na ọrịa shuga na mpaghara IDF North America na Caribbean.
Ọnụ ọgụgụ ndị na-arịa ọrịa shuga na-adịgasị iche site n'ógbè ruo n'ógbè, ebe ụfọdụ nwere ọnụ ọgụgụ dị elu karịa ndị ọzọ.
Ọ dị mkpa iburu n'uche na ọnụ ọgụgụ ndị a na-agbanwe mgbe nile ka a na-achọpụta ndị ọhụrụ na-arịa ọrịa na ọnụ ọgụgụ ndị bi na ya na-abawanye.
Tụkwasị na nke ahụ, ọnụ ọgụgụ ndị na-arịa ọrịa shuga, ma ọ bụ ọnụ ọgụgụ ndị ọhụrụ a na-achọpụta kwa afọ, bụkwa ihe dị mkpa a ga-atụle.
Ọrịa shuga na-arịwanye elu ka oge na-aga, ikekwe n'ihi ihe ndị dị ka ọnụ ọgụgụ na-arịwanye elu nke ibu ibu, ụzọ ndụ na-adịghị agazi agazi, na ịka nká nke ndị bi na ya.
Mgbalị ndị a na-eme n'ihe banyere ahụ ike ọha na eze na-elekwasị anya n'igbochi na ijikwa ọrịa shuga iji belata ibu arọ ya na ndị mmadụ na usoro nlekọta ahụ ike.
Appuhamy JA, Kebreab E, France J: A mathematical model for determining age-specific diabetes incidence and prevalence using body mass index. Ann Epidemiol. 2013, 23 (5): 248-54.
Blanchard JF, Ludwig S, Wajda A, Dean H, Anderson K, Kendall O, Depew N: Incidence and prevalence of diabetes in Manitoba, 1986-1991. Diabetes Care. 1996, 19 (8): 807-11.
Meza R, Barrientos-Gutierrez T, Rojas-Martinez R, Reynoso-Noverón N, Palacio-Mejia LS, Lazcano-Ponce E, Hernández-Ávila M: Burden of type 2 diabetes in Mexico: past, current and future prevalence and incidence rates. Prev Med. 2015, 81 (): 445-50.
Tönnies T, Imperatore G, Hoyer A, Saydah SH, D'Agostino RB, Divers J, Isom S, Dabelea D, Lawrence JM, Mayer-Davis EJ, Pihoker C, Dolan L, Brinks R: Estimating prevalence of type I and type II diabetes using incidence rates: the SEARCH for diabetes in youth study. Ann Epidemiol. 2019, 37 (): 37-42.
Shrestha SS, Thompson TJ, Kirtland KA, Gregg EW, Beckles GL, Luman ET, Barker LE, Geiss LS: Changes in Disparity in County-Level Diagnosed Diabetes Prevalence and Incidence in the United States, between 2004 and 2012. PLoS One. 2016, 11 (8): e0159876.
Nkwupụta: ọgwụgwọ
A na-enye weebụsaịtị a maka ebumnuche agụmakwụkwọ na ozi naanị ma ọ bụghị inye ndụmọdụ ahụike ma ọ bụ ọrụ ọkachamara.
E kwesịghị iji ihe ọmụma e nyere mee ihe maka ịchọpụta ma ọ bụ ịgwọ nsogbu ahụ ike ma ọ bụ ọrịa, ndị na-achọ ndụmọdụ ahụike onwe ha kwesịrị ịgakwuru dọkịta nwere ikike.
Biko rịba ama na netwọkụ akwara nke na-emepụta azịza nye ajụjụ ndị ahụ, bụ ihe na-ezighi ezi mgbe ọ na-abịa na ọnụọgụ ọnụọgụ. Dịka ọmụmaatụ, ọnụọgụ ndị mmadụ chọpụtara na ọrịa akọwapụtara.
Na-achọkarị ndụmọdụ nke dọkịta gị ma ọ bụ onye na-ahụ maka ahụike ọzọ ruru eru banyere ọnọdụ ahụike. Elegharala ndụmọdụ ahụike ọkachamara anya ma ọ bụ na-egbu oge n'ịchọ ya n'ihi ihe ị gụrụ na weebụsaịtị a. Ọ bụrụ na i chere na ị nwere ike ịnweta mberede ahụike, kpọọ 911 ma ọ bụ gaa n'ọnụ ụlọ mberede kacha nso ozugbo. Enweghị mmekọrịta dọkịta na onye ọrịa na-emepụta site na weebụsaịtị a ma ọ bụ ojiji ya. Ma BioMedLib ma ndị ọrụ ya, ma onye ọ bụla na-enye aka na weebụsaịtị a, anaghị eme nkwupụta ọ bụla, kwupụta ma ọ bụ kwupụta, gbasara ozi enyere ebe a ma ọ bụ ojiji ya.
Nkwupụta: ikike nwebisiinka
Digital Millennium Copyright Act nke 1998, 17 U.S.C. § 512 (DMCA) na-enye ohere maka ndị nwe ikike nwebisiinka nke kwenyere na ihe na-apụta na ịntanetị na-emebi ikike ha n'okpuru iwu ikike nwebisiinka US.
Ọ bụrụ na ị kwenyere n'ezi okwukwe na ọdịnaya ma ọ bụ ihe ọ bụla enyere na njikọ nke weebụsaịtị anyị ma ọ bụ ọrụ na-emebi ikike nwebisiinka gị, gị (ma ọ bụ onye nnọchi anya gị) nwere ike iziga anyị ọkwa na-arịọ ka ewepụ ọdịnaya ma ọ bụ ihe, ma ọ bụ gbochie ịnweta ya.
A ghaghị izipu ọkwa n'akwụkwọ site na email (lee ngalaba "Kọntaktị" maka adreesị email) .
DMCA na-achọ ka ọkwa gị banyere mmebi iwu nwebisiinka na-ekwu na ọ gụnyere ozi ndị a: (1) nkọwa nke ọrụ nwebisiinka nke bụ isiokwu nke mmebi iwu a na-ekwu; (2) nkọwa nke ihe a na-ekwu na ọ na-emebi iwu na ozi zuru ezu iji mee ka anyị chọta ọdịnaya ahụ; (3) ozi kọntaktị maka gị, gụnyere adreesị gị, nọmba ekwentị na adreesị email; (4) nkwupụta site n'aka gị na ị nwere ezi okwukwe na ọdịnaya n'ụzọ a na-eme mkpesa na ọ bụghị ikike site n'aka onye nwe ikike, ma ọ bụ onye nnọchi anya ya, ma ọ bụ site na ọrụ iwu ọ bụla;
(5) nkwupụta site n'aka gị, nke ị bịanyere aka na ya n'okpuru ntaramahụhụ nke ịgba akaebe ụgha, na ozi dị na ọkwa ahụ ziri ezi na na ị nwere ikike iji mezuo ikike nwebisiinka nke a na-ekwu na emebi;
na (6) mbinye aka nkịtị ma ọ bụ nke elektrọnik nke onye nwe ikike ma ọ bụ onye e nyere ikike ime ihe n'aha onye nwe ikike.
Ọ bụrụ na i tinyeghị ozi niile dị n'elu, ọ nwere ike ime ka a na-egbu oge n'ịhazi mkpesa gị.
Mkparịta ụka
Biko zitere anyị email na ajụjụ ọ bụla / aro.
How common is diabetes?
Diabetes is a very common disease, affecting millions of people worldwide.
According to the International Diabetes Federation, in 2019, approximately 463 million adults aged 20-79 years were living with diabetes in the IDF North America and Caribbean region.
The prevalence of diabetes varies by region, with some areas having higher rates than others.
It is important to note that these numbers are constantly changing as new cases are diagnosed and the population grows.
Additionally, the incidence of diabetes, or the number of new cases diagnosed each year, is also an important factor to consider.
The incidence of diabetes has been increasing over time, likely due to factors such as increasing obesity rates, sedentary lifestyles, and aging populations.
Public health efforts are focused on preventing and managing diabetes to reduce its burden on individuals and healthcare systems.
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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