Ho na le lintho tse'maloa tse ka bakang ho tšoenyeha, ho akarelletsa:
1. Lintho tse bakoang ke liphatsa tsa lefutso: Ho tšoenyeha ho ka hlaha malapeng, e leng se bontšang hore ho ka 'na ha e-ba le ntho e itseng e bakang boemo bona.
2. Lik'hemik'hale tsa boko: Ho se leka-lekane ha li-neurotransmitter tse itseng, tse kang serotonin, gamma-aminobutyric acid (GABA), le dopamine, ho ka etsa hore motho a tšoenyehe.
3. Litšobotsi tsa botho: Batho ba nang le litšobotsi tse itseng tsa botho, tse kang ho batla ho phethahala, ho se itšepe kapa ho tšoenyeha ho tlōla tekano, ba ka 'na ba tšoenyeha habonolo.
4. Liphihlelo tsa bophelo: Lintho tse bohloko kapa tse sithabetsang bophelong, tse kang ho hlekefetsoa, ho hlokomolohuoa kapa lefu la motho eo u mo ratang, li ka eketsa kotsi ea ho tšoenyeha.
5. Maemo a sa foleng a bophelo bo botle: Ho ba le boemo bo sa foleng ba bophelo bo botle, bo kang lefu la pelo, lefu la tsoekere kapa mathata a qoqotho, ho ka eketsa monyetla oa hore motho a tšoenyehe.
6. Ho sebelisa lithethefatsi hampe: Ho sebelisa lithethefatsi kapa joala ho ka baka le ho eketsa matšoenyeho.
7. Lintho tse bakang ho tšoenyeha: Ho ba le liketsahalo tse sithabetsang kapa tse bohloko, tse kang likoluoa tsa tlhaho, likotsi kapa pefo, ho ka eketsa monyetla oa ho tšoenyeha.
8. Lilemo: Batho ba lilemo tsohle ba ka tšoaroa ke lefu la ho tšoenyeha, empa hangata le qala bongoaneng kapa bocheng.
9. Bong: Basali ba kotsing e khōlō ea ho tšoaroa ke lefu la ho tšoenyeha ho feta banna.
10. Maemo a mang a kelello: Batho ba nang le maemo a mang a kelello, a kang ho tepella maikutlo kapa ho ferekana kelellong, ba ka 'na ba tšoenyeha haholo.
Ke habohlokoa ho hlokomela hore ho ba le e' ngoe kapa tse' maloa tsa lintho tsena tse bakang ho tšoenyeha ha ho bolele hore motho o tla tšoenyeha,' me ho se be le lintho tse bakang ho tšoenyeha ha ho bolele hore motho a ke ke a tšoenyeha.
Ho boetse hoa khoneha hore motho a tšohe a se na lintho tse ka mo behang kotsing.
Haeba u tšoenyehile ka hore na u tšoenyehile hakae, ke habohlokoa hore u buisane le ngaka e nang le phihlelo ea ho phekola mafu a kelello e le hore u fumane phekolo e nepahetseng.
Vink D, Aartsen MJ, Schoevers RA: Risk factors for anxiety and depression in the elderly: a review. J Affect Disord. 2008, 106 (1-2): 29-44.
Zhong R, Chen Q, Li M, Li N, Zhang X, Lin W: Sex differences in anxiety in patients with epilepsy: Status and risk factors analysis. Epilepsy Behav. 2021, 116 (): 107801.
Meng X, D'Arcy C: Common and unique risk factors and comorbidity for 12-month mood and anxiety disorders among Canadians. Can J Psychiatry. 2012, 57 (8): 479-87.
Mian ND, Wainwright L, Briggs-Gowan MJ, Carter AS: An ecological risk model for early childhood anxiety: the importance of early child symptoms and temperament. J Abnorm Child Psychol. 2011, 39 (4): 501-12.
Zhang L: Anxiety and depression in recurrent gastric cancer: Their prevalence and independent risk factors analyses. Medicine (Baltimore). 2021, 100 (51): e28358.
Volgsten H, Skoog Svanberg A, Ekselius L, Lundkvist O, Sundström Poromaa I: Risk factors for psychiatric disorders in infertile women and men undergoing in vitro fertilization treatment. Fertil Steril. 2010, 93 (4): 1088-96.
['Tlhokomeliso: tsa bongaka']
["Websaete ena e etselitsoe ho ruta le ho fana ka boitsebiso feela'me ha e fane ka keletso ea bongaka kapa litšebeletso tsa litsebi."]
["Boitsebiso bo fanoeng ha boa lokela ho sebelisoa ho hlahloba kapa ho phekola bothata ba bophelo bo botle kapa lefu,'me ba batlang keletso ea bongaka ba lokela ho buisana le ngaka e nang le lengolo la tumello."]
['Ka kōpo hlokomela hore neural net e hlahisang likarabo lipotsong, ha e nepahale haholo-holo ha ho tluoa linomorong.']
["Kamehla batla keletso ea ngaka ea hao kapa mofani e mong ea tšoanelehang oa tlhokomelo ea bophelo mabapi le boemo ba bongaka. Le ka mohla u se ke ua hlokomoloha keletso ea setsebi sa bongaka kapa ua lieha ho e batla ka lebaka la ntho eo u e balileng websaeteng ena. Haeba u nahana hore u ka 'na ua ba le boemo ba tšohanyetso ba bongaka, letsetsa 911 kapa u ee kamoreng ea tšohanyetso e haufi hang-hang. Ha ho kamano ea ngaka le mokuli e bōptjoang ke websaeteng ena kapa tšebeliso ea eona. BioMedLib kapa basebetsi ba eona, kapa motho leha e le ofe ea tlatsetsang ho websaeteng ena, ha a etse litemoso, tse hlakileng kapa tse sa hlakang, mabapi le boitsebiso bo fanoeng mona kapa tšebeliso ea eona."]
['Tlhokomeliso: litokelo tsa bangoli']
['Molao oa Digital Millennium Copyright Act oa 1998, 17 U.S.C. § 512 (DMCA) o fana ka litokelo tsa beng ba litokelo tsa bangoli ba lumelang hore thepa e hlahang Inthaneteng e hatakela litokelo tsa bona tlasa molao oa litokelo tsa bangoli ba U.S. ']
['Haeba u lumela ka tumelo e ntle hore litaba leha e le life kapa thepa e fumanehang mabapi le websaeteng kapa litšebeletso tsa rona e tlōla litokelo tsa hau tsa molao, uena (kapa moemeli oa hau) a ka re romella tsebiso e kōpang hore litaba kapa thepa e tlosoe, kapa ho fihlella ho eona ho thibeloe. ']
['Ditsebiso di tlameha ho romelwa ka lengolo ka imeile (bona karolo ya "Ho iteanya" bakeng sa aterese ya imeile). ']
["DMCA e hloka hore tsebiso ea hao ea ho tlōla ha molao ho boleloang hore e na le boitsebiso bo latelang: (1) tlhaloso ea mosebetsi o sirelelitsoeng ka molao o boleloang hore o tlōloa; (2) tlhaloso ea litaba tse boleloang hore li tlōla molao le boitsebiso bo lekaneng ho re lumella ho fumana litaba; (3) boitsebiso ba ho ikopanya le uena, ho akarelletsa aterese ea hau, nomoro ea fono le aterese ea imeile; (4) polelo ea hau ea hore u na le tumelo e ntle ea hore litaba ka tsela e belaelloang ha e lumelloe ke mong'a litokelo tsa molao, kapa moemeli oa eona, kapa ka ts'ebetso ea molao leha e le ofe; "]
['(5) polelo e saennweng ke wena, tlasa kotlo ya ho hlapanya leshano, ya hore tlhahisoleseding e tsebisong e nepahetse le hore o na le matla a ho tiisa ditokelo tsa mongodi tseo ho thweng di a tlolwa; ']
["le (6) ho saena ka letsoho kapa ka elektronike ha mong'a litokelo tsa bangoli kapa motho ea lumeletsoeng ho nka khato lebitsong la mong'a litokelo tsa bangoli. "]
['Ho hloleha ho kenyelletsa tlhahisoleseding yohle e ka hodimo ho ka baka ho dieha ha ho sebetswa tletlebo ya hao.']
['Ho Iteanya']
['Ka kōpo re romelle imeile ka potso / tlhahiso leha e le efe.']
What are the risk factors for anxiety?
There are several risk factors that can contribute to the development of anxiety, including:
1. Genetics: Anxiety disorders can run in families, suggesting that there may be a genetic component to the development of these conditions.
2. Brain chemistry: Imbalances in certain neurotransmitters, such as serotonin, gamma-aminobutyric acid (GABA), and dopamine, can contribute to anxiety.
3. Personality traits: People with certain personality traits, such as perfectionism, low self-esteem, or a tendency to worry excessively, may be more prone to anxiety.
4. Life experiences: Traumatic or stressful life events, such as abuse, neglect, or the death of a loved one, can increase the risk of developing anxiety.
5. Chronic health conditions: Having a chronic medical condition, such as heart disease, diabetes, or thyroid problems, can increase the risk of anxiety.
6. Substance abuse: The use of drugs or alcohol can both cause and exacerbate anxiety.
7. Environmental factors: Exposure to stressful or traumatic events, such as natural disasters, accidents, or violence, can increase the risk of anxiety.
8. Age: Anxiety disorders can occur at any age, but they often begin in childhood or adolescence.
9. Gender: Women are more likely than men to develop anxiety disorders.
10. Other mental health conditions: People with other mental health conditions, such as depression or bipolar disorder, may be more likely to develop anxiety.
It is important to note that having one or more of these risk factors does not guarantee that a person will develop anxiety, and not having any risk factors does not guarantee that a person will be free from anxiety.
It is also possible for anxiety to develop without any identifiable risk factors.
If you are concerned about your anxiety levels, it is important to speak with a mental health professional for an accurate diagnosis and appropriate treatment.
Disclaimer: medical
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['Hoo e ka bang']
["BioMedLib e sebelisa lik'homphieutha tse iketsang (machine-learning algorithms) ho hlahisa lipotso le likarabo."]
['Re qala ka lingoliloeng tse limilione tse 35 tsa biomedical tsa PubMed/Medline. Hape, maqephe a websaete a RefinedWeb.']
