What causes Depression?

Mvetserani tsamba ili

Kodi n'chiyani chimayambitsa kuvutika maganizo?

Kupsinjika maganizo kungakhale ndi zifukwa zambiri, kuphatikizapo majini, zamoyo, zachilengedwe, ndi zamaganizo.

Zina mwa zifukwa zofala kwambiri za kuvutika maganizo ndi izi:

1. Chibadwa: Kukhala ndi matenda ovutika maganizo m'banja kungathandize kuti munthu akhale ndi matendawa.

2. Mankhwala a mu ubongo: Kusagwirizana kwa mankhwala ena a mu ubongo, monga serotonin, norepinephrine, ndi dopamine, kungayambitse kuvutika maganizo.

3. Zochitika m'moyo: Zochitika m'moyo zopweteka kapena zopanikizika, monga imfa ya wokondedwa, mavuto a zachuma, kapena mavuto a ubale, zingayambitse kuvutika maganizo.

4. Matenda a m'thupi: Matenda ena a m'thupi, monga kupweteka kosatha, khansa, kapena matenda a chithokomiro, angayambitse kuvutika maganizo.

5. Mankhwala: Mankhwala ena, monga steroids kapena mankhwala a kuthamanga kwa magazi, angayambitse kuvutika maganizo monga zotsatira zake.

6. Kugwiritsa ntchito molakwa mankhwala osokoneza bongo: Kugwiritsa ntchito molakwa mowa ndi mankhwala osokoneza bongo kungathandize komanso kuipiraipira kuvutika maganizo.

7. Khalidwe: Anthu amene ali ndi makhalidwe enaake, monga kudzidalira pang'ono kapena kukhala ndi maganizo oipa, angakhale okonda kwambiri kuvutika maganizo.

8. Zochitika za m'chilengedwe: Kukhala m'malo opanikizika kwambiri, achiwawa, kapena umphaŵi kungawonjezere chiopsezo cha kuvutika maganizo.

9. Zochita za m'maganizo: Kuganiza molakwika, kudziona ngati wofooka, ndi chizoloŵezi chobwerezabwereza zinthu zoipa zimene zachitika zingachititse munthu kuvutika maganizo.

Nkofunika kudziŵa kuti kuvutika maganizo kungayambitsidwe ndi zinthu zimenezi pamodzi, ndipo zifukwa zenizeni zingakhale zosiyana kwa munthu aliyense.

Chodzikanira: zachipatala

Webusaitiyi imaperekedwa kaamba ka zolinga za maphunziro ndi chidziŵitso zokha ndipo si kupereka uphungu wa zachipatala kapena mautumiki a akatswiri.

Chidziŵitso choperekedwacho sichiyenera kugwiritsiridwa ntchito kupenda kapena kuchiza vuto la thanzi kapena matenda, ndipo awo ofuna uphungu waumoyo waumwini ayenera kufunsa dokotala wovomerezeka.

Chonde dziŵani kuti ma neural net amene amapanga mayankho a mafunso, ndi osayenerera makamaka pankhani ya manambala. Mwachitsanzo, chiŵerengero cha anthu odwala matenda enaake.

Nthawi zonse funsani upangiri wa dokotala wanu kapena wothandizira wina waluso pankhani ya matenda. Musanyalanyaze upangiri wa zamankhwala kapena kuchedwetsa kufunafuna chifukwa cha china chake chomwe mwawerenga patsamba lino. Ngati mukuganiza kuti mungakhale ndi vuto ladzidzidzi, itanani 911 kapena pitani ku chipinda chadzidzidzi chapafupi nthawi yomweyo. Palibe ubale wa dokotala ndi wodwala womwe umapangidwa ndi tsamba ili kapena kugwiritsa ntchito kwake. Neither BioMedLib kapena antchito ake, kapena aliyense wothandizira patsamba lino, amapanga ziwonetsero zilizonse, zowonetsera kapena zomveka, zokhudzana ndi chidziwitso choperekedwa pano kapena kugwiritsa ntchito kwake.

Chodzikanira: ufulu wolemba

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DMCA imafuna kuti chidziwitso chanu cha kuphwanya ufulu waumwini chiphatikizepo chidziwitso chotsatirachi: (1) kufotokoza kwa ntchito yotetezedwa ndi ufulu waumwini yomwe ndi nkhani ya kuphwanya ufulu waumwini; (2) kufotokoza kwa zomwe zikunenedwa kuti zikuphwanya ufulu waumwini ndi chidziwitso chokwanira kutilola kupeza zomwe zili; (3) zidziwitso zolumikizirana nanu, kuphatikiza adilesi yanu, nambala yafoni ndi adilesi ya imelo; (4) mawu anu oti muli ndi chikhulupiriro chabwino kuti zomwe zili m'njira yomwe akudandaula sizinaloledwe ndi mwiniwake wa ufulu waumwini, kapena wothandizila wake, kapena chifukwa cha lamulo lililonse;

(5) chikalata chanu, chosainidwa pansi pa chilango cha umboni wabodza, chakuti chidziŵitso chimene chili m'chidziŵitsocho n'cholondola ndipo kuti muli ndi ulamuliro wokakamiza kukhazikitsa ufulu waumwini umene akunena kuti waphwanyidwa;

ndi (6) siginecha yakuthupi kapena yamagetsi ya mwiniwake wa ufulu waumwini kapena munthu wololedwa kuchitapo kanthu m'dzina la mwiniwake wa ufulu waumwini.

Kulephera kuphatikizapo chidziŵitso chonse chapamwamba kungayambitse kuchedwa kwa kusanthula madandaulo anu.

Kulumikizana

Chonde titumizireni imelo ndi funso / lingaliro lililonse.

What causes depression?

Depression can have multiple causes, including genetic, biological, environmental, and psychological factors.

Some of the most common causes of depression include:

1. Genetics: A family history of depression can increase the likelihood 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. Life events: Traumatic or stressful life events, such as the death of a loved one, financial problems, or relationship issues, can trigger depression.

4. Medical conditions: Certain medical conditions, such as chronic pain, cancer, or thyroid problems, can lead to depression.

5. Medications: Some medications, such as steroids or blood pressure medications, can cause depression as a side effect.

6. Substance abuse: Alcohol and drug abuse can both contribute to and worsen depression.

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

8. Environmental factors: Living in an environment with high levels of stress, violence, or poverty can increase the risk of depression.

9. Psychological factors: Negative thinking patterns, low self-esteem, and a tendency to ruminate on negative experiences can contribute to depression.

It is important to note that depression can be caused by a combination of these factors, and the specific causes can vary from person to person.

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.

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Disclaimer: copyright

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