What are the risk factors for Depression?

['Umviriza uru rupapuro']

Ni ibintu ibihe bishobora gutuma umuntu arwara akabonge?

Hari ibintu bitari bike bishobora gutuma umuntu arwara akabonge, harimwo:

1. Ingaruka zo mu muryango: Nimba mu muryango wanyu hari uwigeze kurwara akabonge, birashobora gutuma uwo muntu arushiriza kurwara.

2. Ingene ubwonko bukora: Iyo ibintu bimwebimwe vyo mu bwonko nk'iserotonine, norepinephrine na dopamine bidakora neza, birashobora gutuma umuntu arwara akabonge.

3. Kamere: Abantu bafise kamere zimwezimwe, nk'ukwigirira nabi, kubona ibintu mu buryo bubi canke kwiyagiriza birenze urugero, boshobora kurushiriza kurwara akabonge.

4. Ibintu biba mu buzima: Ibintu bibabaje canke bitesha umutwe biba mu buzima, nk'urupfu rw'uwo ukunda, ukwahukana, ingorane z'amahera canke gukurwa mu kazi, birashobora gutuma umuntu arwara akabonge.

5. Indwara: Hariho indwara zimwezimwe, nk'ububabare budahera, kanseri canke indwara y'umutima, zishobora gutuma umuntu arushiriza kugira akabonge.

6. Imiti: Imiti imwimwe, nk'iyitwa stéroïdes canke imiti igabanya umuvuduko w'amaraso, irashobora gutuma umuntu arushiriza kugira akabonge.

7. Gukoresha nabi ibiyayuramutwe: Kunywa inzoga zirenze urugero canke ibiyayuramutwe birashobora gutuma umuntu arwara akabonge.

8. Imyaka: Umuntu arashobora kurwara akabonge uko yoba angana kwose, ariko kenshi kaba mu buyabaga no mu buyabaga.

9. Igitsina: Abagore ni bo usanga barwara akabonge kuruta abagabo, kumbure bitumwe n'amahinduka aba mu mubiri be n'ukuntu abantu babafata.

10. Kwitandukanya n'abandi: Kutagira abagenzi canke kwiyumvamwo ko ata co umaze birashobora gutuma umuntu arushiriza kugira akabonge.

Birahambaye kumenya yuko kuba umuntu afise kimwe canke vyinshi muri ivyo bintu bishobora gutuma arwara akabonge bidasobanura ko atazokwigera arwara akabonge, kandi ko kuba ata kintu na kimwe muri ivyo bintu bishobora gutuma arwara akabonge bidasobanura ko atazokwigera arwara akabonge.

Birahambaye ko ugiye kwa muganga nimba urwaye akabonge.

['Ibitabu vyo muri Bibiliya']

PubMed/Medline https://www.nlm.nih.gov/databases/download/pubmed_medline.html

RefinedWeb https://arxiv.org/abs/2306.01116

Schaakxs R, Comijs HC, van der Mast RC, Schoevers RA, Beekman ATF, Penninx BWJH: Risk Factors for Depression: Differential Across Age? Am J Geriatr Psychiatry. 2017, 25 (9): 966-977.

Heun R, Hein S: Risk factors of major depression in the elderly. Eur Psychiatry. 2005, 20 (3): 199-204.

Leentjens AF, Lousberg R, Verhey FR: Markers for depression in Parkinson's disease. Acta Psychiatr Scand. 2002, 106 (3): 196-201.

Reinherz HZ, Giaconia RM, Hauf AM, Wasserman MS, Paradis AD: General and specific childhood risk factors for depression and drug disorders by early adulthood. J Am Acad Child Adolesc Psychiatry. 2000, 39 (2): 223-31.

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.

Song SJ, Ziegler R, Arsenault L, Fried LE, Hacker K: Asian student depression in American high schools: differences in risk factors. J Sch Nurs. 2011, 27 (6): 455-62.

Stewart R, Prince M, Mann A, Richards M, Brayne C: Stroke, vascular risk factors and depression: Cross-sectional study in a UK Caribbean-born population. Br J Psychiatry. 2001, 178 (1): 23-8.

['Urupapuro rwemeza ko ata ruhusha:']

["Uru rubuga rw'ivy'ubuvuzi ruratangwa ku bw'inyigisho no ku bw'ukumenyesha amakuru gusa, ntirutanga impanuro mu vy'ubuvuzi canke ngo rube urwego rw'abahinga mu vy'ubuvuzi."]

["Amakuru atangwa n'ivyo binyamakuru ntabereye gukoreshwa mu gusuzuma canke mu kuvura ingorane y'amagara canke indwara kanaka, kandi abarondera impanuro zijanye n'ivy'ubuvuzi bakwiye kwitura umuganga abifitiye uruhusha."]

["Urabona ko ubuhinga bwa none butanga inyishu z'ibibazo usanga butarimwo ukuri na canecane igihe ari ibitigiri, nk'akarorero igitigiri c'abantu barwaye indwara kanaka."]

["Niwame usaba impanuro umuganga wawe canke uwundi muntu abifitiye uburenganzira mu bijanye n'amagara yawe. Ntiwigere wirengagiza impanuro z'umuganga canke ngo ureke kuzirondera kubera ivyo wasomye kuri uyu muhora. Nimba wibaza ko hari ikintu cihutirwa mu vy'amagara, nuce uhamagara 911 canke uje aho bavurira indembe hagufi."]

["Igabishwa: uburenganzira bw'abafise ivyo banditse"]

["Itegeko ryo mu 1998 ryerekeye uburenganzira umuntu afise mu vyo akoresha mu guhanahana amakuru (Digital Millennium Copyright Act of 1998, 17 U.S.C. § 512 (the DMCA) ritanga uburenganzira ku bantu bafise uburenganzira bwo guhanahana amakuru babona ko ibintu vyerekanwa kuri Internet bihonyanga uburenganzira bwabo hisunzwe amategeko ya Leta Zunze Ubumwe za Amerika ajanye n'uburenganzira umuntu afise. "]

['Mu gihe wibaza ko hari ibintu canke ibikoresho vyabonetse ku rubuga rwacu canke ku mbuga zacu bibangamiye uburenganzira bwawe, wewe (canke uwukugenzura) urashobora kuturungikira ubutumwa busaba ko ivyo bintu canke ivyo bikoresho bikurwaho canke ko bitagisubira kuboneka. ']

['Amatangazo ategerezwa kurungikwa mu nyandiko hakoreshejwe ubutumwa bwa "email" (raba ahavuga ngo "Kwitaba" kugira ngo umenye aderese ya "email").']

["Itegeko rya DMCA risaba ko umenyesha ko hari uwugomba guhonyanga uburenganzira bwawe mu gutanga amakuru akurikira: (1) idondorwa ry'igikorwa gikingiwe n'amategeko kiriko kiragirizwa guhonyanga uburenganzira bwawe; (2) idondorwa ry'ibiri mu vyo bavuga ko bihonyanga uburenganzira bwawe be n'amakuru ahagije atuma dushobora kumenya aho biri; (3) amakuru y'ukuntu twokwifatanya nawe, harimwo aderese yawe, inomero za telefone n'ikete ryawe ryo kurungikiranira ubutumwa kuri internet; (4) ivyemeza ko wemera udakeka ko ivyo bintu biri mu buryo uriko uridodombera bitahawe uburenganzira n'uwabitunganije, canke uwubiserukira, canke n'itegeko iryo ari ryo ryose; "]

["(5) urwandiko rwanditswe n'uwatanze iyo notifica-tion, rwemeza ko amakuru ari muri iyo notifica-tion ari ay'ukuri kandi ko afise ububasha bwo gukurikirana ivy'uwo muntu avuga ko yahonyanze uburenganzira bwiwe; "]

["n' (6) umukono w'umuntu canke w'ubuhinga bwa elegitoronike w'uwuri n'ico kintu canke w'umuntu yahawe uburenganzira bwo gukora ku bw'uwo muntu. "]

['Kudashiramwo amakuru yose ari aho haruguru vyoshobora gutuma ivyo kwitwarira umuntu bicererwa.']

['Uwushobora kugufasha']

['Turakwinginze uturungikire ubutumwa kuri email ufise ikibazo / iciyumviro.']

What are the risk factors for depression?

There are several risk factors that can increase the likelihood of developing depression, including:

1. Genetics: A family history of depression can increase the risk of developing the condition.

2. Brain chemistry: Imbalances in certain chemicals in the brain, such as serotonin, norepinephrine, and dopamine, can contribute to depression.

3. Personality: People with certain personality traits, such as low self-esteem, pessimism, or being overly self-critical, may be more prone to developing depression.

4. Life events: Traumatic or stressful life events, such as the death of a loved one, divorce, financial problems, or job loss, can trigger depression.

5. Medical conditions: Certain medical conditions, such as chronic pain, cancer, or heart disease, can increase the risk of depression.

6. Medications: Some medications, such as steroids or blood pressure medications, can increase the risk of depression.

7. Substance abuse: Alcohol or drug abuse can contribute to the development of depression.

8. Age: Depression can occur at any age, but it is more common in teenagers and young adults.

9. Gender: Women are more likely to experience depression than men, possibly due to hormonal factors and social pressures.

10. Social isolation: Lack of social support or a sense of belonging can increase the risk of depression.

It is important to note that having one or more of these risk factors does not guarantee that a person will develop depression, and not having any risk factors does not mean that a person will never experience depression.

It is essential to seek professional help if you are experiencing symptoms of depression.

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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