Kolemba nzoto ezali maladi ya motó oyo emonanaka mingi.
Na kotalela Organisation mondiale de la santé (OMS), bato koleka milio 264 na mokili mobimba bazali konyokwama na makanisi.
Ndenge konyokwama na makanisi ezali komonana na mikili mpe na bitúká ekeseni, kasi bakanisi ete pene na 5% ya mikóló na mokili mobimba bazali konyokwama na makanisi.
Na bamboka mosusu, bato mingi (10%) to koleka nde bazali na yango.
Basi bazalaka na likama ya konyokwama na makanisi koleka mibali, mpe maladi yango ekoki kozwa bato ya mbula nyonso, kobanda na bana tii na mibange.
Ezali na ntina koyeba ete ba statistiques oyo ezali kaka ba cas oyo eyebani, mpe motango ya solo ya bato oyo bazali konyokwama na depression ekoki kozala mingi koleka mpo bayebisaka yango mingi te mpe bazwaka lisalisi ya minganga te.
Huang CJ, Lin CH, Lee MH, Chang KP, Chiu HC: Prevalence and incidence of diagnosed depression disorders in patients with diabetes: a national population-based cohort study. Gen Hosp Psychiatry. , 34 (3): 242-8.
Dooneief G, Mirabello E, Bell K, Marder K, Stern Y, Mayeux R: An estimate of the incidence of depression in idiopathic Parkinson's disease. Arch Neurol. 1992, 49 (3): 305-7.
Baeg JY, Kim IH, Seo SY, Kim YS, Jung EU, Cho J, Chung JW, Jang ES, Kim JW, Jeong SH: Prevalence and Incidence of Depression during Interferon-Based Antiviral Therapy in Chronic Hepatitis C Patients in the Republic of Korea. Gut Liver. 2017, 11 (3): 426-433.
Maia BR, Marques M, Bos S, Pereira AT, Soares MJ, Valente J, Macedo A, Azevedo MH: Epidemiology of perinatal depression in Portugal: categorical and dimensional approach. Acta Med Port. 2011, 24 Suppl 2 (): 443-8.
['Koboya: makambo ya monganga']
['Site oyo ezali kaka mpo na koteya mpe koyebisa bato makambo ya monganga, kasi ezali te mpo na kopesa toli to toli ya monganga.']
['Makambo oyo ezali na site yango esengeli te kosalelama mpo na koyeba maladi to kosalisa yango, mpe baoyo balingi kozwa toli ya monganga basengeli kotuna yango epai ya monganga oyo ayebi mosala yango malamu.']
['Tosengi na yo oyeba ete réseau neuronal oyo epesaka biyano na mituna, ezalaka mpenza malamu te soki ezali na makambo ya mituya. Na ndakisa, motango ya bato oyo bazali na maladi moko boye.']
['Sololá ntango nyonso na monganga to na moto mosusu oyo ayebi kosalisa maladi na yo. Koboya toli ya monganga te to kozela te mpo otángi likambo moko na site oyo. Soki okanisi ete ozali na maladi oyo esengeli kosalisa yo nokinoki, bengá 911 to kende na lopitalo ya pene. Site oyo to ndenge oyo ozali kosalela yango ezali na boyokani te na monganga ná moto oyo azali kosalisa yo.']
["Kozanga ndingisa: droit d'auteur"]
['Mobeko ya Copyright ya Milenere ya 1998, 17 U.S.C. § 512 (DMCA) epesi nzela na bakomi ya mikanda oyo bakanisi ete biloko oyo ezali na Internet ezali kobebisa lotomo na bango na kolanda mibeko ya copyright ya Etats-Unis. ']
['Soki ondimi na motema malamu ete makambo to biloko oyo ezali na site Internet to na ba service na biso ezali kobuka mibeko na yo, yo (to moto oyo azali na mokumba ya kobatela yo) okoki kotindela biso mokanda mpo na kosɛnga ete tólongola makambo to biloko yango to tópekisa yo kokɔta na yango. ']
['Basengeli kotinda bansango na mokanda na nzela ya email (tala na "Kotindelana" mpo na adresse ya email). ']
['Mibeko ya DMCA esengi ete mokanda na yo ya kofunda mbeba ya copyright ezala na makambo oyo elandi: (1) kolimbola mosala oyo ezali na droit ya copyright oyo bazali kofunda ete ebebisami; (2) kolimbola makambo oyo bazali kofunda ete ebebisi mpe makambo oyo ekoki mpo na kosalisa biso na koyeba esika makambo yango ezali; (3) makambo ya kosolola na yo, ata mpe adrɛsi na yo, nimero ya telefone mpe adrɛsi ya e-mail; (4) mokanda oyo okomi ete ondimi na motema malamu ete makambo oyo ozali kofunda ete ebebisami epesami nzela te na nkolo ya droit ya copyright, to na agent na ye, to na mibeko nyonso; ']
['(5) mokanda oyo okomi, oyo okotya sinyatili na yango mpo na komonisa ete makambo oyo okomaki ezali solo mpe ete ozali na lotomo ya kolandela lotomo ya babimisi oyo bazali koloba ete ebebisami; ']
['mpe (6) sinyatili ya moto oyo azali na lotomo ya kosala yango to ya moto oyo azali na lotomo ya kosala na nkombo na ye. ']
['Soki otye makambo nyonso te oyo ezali awa na likolo, yango ekoki kosala ete likambo na yo eumela.']
['Ndenge ya kosolola']
['Tosengi otindela biso email na motuna to likanisi nyonso.']
How common is depression?
Depression is a very common mental health condition.
According to the World Health Organization (WHO), more than 264 million people worldwide suffer from depression.
The prevalence of depression varies across different regions and countries, but it is estimated that around 5% of adults suffer from depression globally.
In some countries, the prevalence can be as high as 10% or more.
Women are more likely to experience depression than men, and the condition can affect people of all ages, from children to the elderly.
It is important to note that these statistics only represent reported cases, and the actual number of people suffering from depression may be higher due to underreporting and lack of access to mental health services.
Disclaimer: medical
This web site is provided for educational and informational purposes only and does not constitute providing medical advice or professional services.
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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.
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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['Na ntina na']
['BioMedLib esalelaka ba ordinateur oyo esalemi na masini (machine-learning algorithms) mpo na kobimisa mituna mpe biyano.']
['Tobandi na mikanda ya minganga 35 millions ya PubMed/Medline. Lisusu, ba pages ya RefinedWeb.']
