Ga go na kalafi e e itseweng ya bolwetse jwa Alzheimer, mme go na le mekgwa e le mmalwa e e ka thusang go thibela kgotsa go diegisa go simolola ga jone.
Tseno di akaretsa:
1. Go tshela ka tsela e e siameng: Go ja dijo tse di nang le dikotla tse di lekaneng, go ikatisa ka metlha le go robala mo go lekaneng go ka thusa go boloka boboko jwa gago bo itekanetse le go fokotsa kotsi ya go tshwarwa ke bolwetse jwa Alzheimer.
2. Go dira dilo tse di ka thusang tlhaloganyo: Go dira gore tlhaloganyo ya gago e nne e dira ka go dira dilo tse di jaaka go bala, go dira dipuzzle le go tshameka metshameko go ka thusa go dira gore tlhaloganyo ya gago e bereke sentle le go fokotsa kotsi ya go tshwarwa ke bolwetse jwa Alzheimer.
3. Go nna le seabe mo ditirong tsa loago: Go nna o le matlhagatlhaga mo ditirong tsa loago le go nna o ikgolaganya le ditsala le ba lelapa go ka thusa go fokotsa kotsi ya go tshwarwa ke bolwetse jwa Alzheimer.
4. Go laola malwetse a a sa foleng: Malwetse a a jaaka bolwetse jwa sukiri, kgatelelo e e kwa godimo ya madi le kholeseterole e e kwa godimo a ka oketsa kotsi ya go tshwarwa ke bolwetse jwa Alzheimer, ka jalo go botlhokwa go laola malwetse ano ka tsela e e molemo.
5. Go tila go gobala mo tlhogong: Go gobala mo tlhogong go ka oketsa kotsi ya go tshwarwa ke bolwetse jwa Alzheimer, ka jalo go botlhokwa gore motho a nne kelotlhoko gore a se ka a gobala, jaaka go rwala helemete fa a dira ditiro tse di jaaka go palama baesekele kgotsa go relela mo aeseng.
6. Fokotsa go nwa bojalwa: Go nwa bojalwa ka tsela e e feteletseng go ka dira gore motho a nne mo kotsing ya go tshwarwa ke bolwetse jwa Alzheimer, ka jalo go botlhokwa gore motho a bo nwe ka tekatekano.
7. Go laola kgatelelo ya maikutlo: Go ngomoga pelo go go sa foleng go ka dira gore motho a nne mo kotsing ya go tshwarwa ke bolwetse jwa Alzheimer, ka jalo go botlhokwa gore motho a batle ditsela tse di siameng tsa go laola kgatelelo ya maikutlo, tse di jaaka go tlhatlhanya kgotsa go itapolosa.
8. Go tlhatlhobiwa ka metlha: Go tlhatlhobiwa ke ngaka ka metlha go ka go thusa go lemoga mathata ape a botsogo ka bonako mme ga dira gore o kgone go tsaya kgato ka bonako.
Go botlhokwa go lemoga gore le fa gone mekgwa eno e ka thusa go fokotsa kotsi ya Alzheimer, ga e tlhomamise gore e tla thibela bolwetse jono.
Go tlhokega dipatlisiso tse di oketsegileng gore go tlhaloganngwe ka botlalo dilo tse di bakang Alzheimer le gore e ka thibelwa jang.
Kuller LH: Potential prevention of Alzheimer disease and dementia. Alzheimer Dis Assoc Disord. 1996, 10 Suppl 1 (): 13-6.
Radebaugh TS, Buckholtz NS, Khachaturian ZS: Fisher symposium: strategies for the prevention of Alzheimer disease--overview of research planning meeting III. Alzheimer Dis Assoc Disord. 1996, 10 Suppl 1 (): 1-5.
Whitehouse PJ: Ethical issues in early diagnosis and prevention of Alzheimer disease. Dialogues Clin Neurosci. 2019, 21 (1): 101-108.
Brookmeyer R, Zeger S: Statistical issues in prevention and therapeutic trials of Alzheimer disease. Alzheimer Dis Assoc Disord. 1996, 10 Suppl 1 (): 27-30.
Bane TJ, Cole C: Prevention of Alzheimer disease: The roles of nutrition and primary care. Nurse Pract. 2015, 40 (5): 30-5; quiz 35-6.
['Go se ikarabele: kalafi']
['Web site eno e diretswe go ruta le go naya tshedimosetso fela mme ga e neye kgakololo ya kalafi kgotsa ditirelo tsa seporofešenale.']
['Tshedimosetso e e neelwang ga e a tshwanela go dirisiwa go bona bolwetse kana go alafa bothata jwa botsogo, mme batho ba ba batlang kgakololo ya kalafi ba tshwanetse go ikgolaganya le ngaka e e nang le laesense.']
['Tsweetswee ela tlhoko gore thulaganyo ya methapo e e dirang dikarabo tsa dipotso tseno, ga e a tlhomama fa go tla mo dilong tsa dipalo. Ka sekai, palo ya batho ba ba nang le bolwetse bongwe jo bo rileng.']
['Ka metlha batla kgakololo ya ngaka ya gago kgotsa moabi yo mongwe wa kalafi yo o tshwanelegang malebana le boemo jwa kalafi. Le ka motlha o se ka wa itlhokomolosa kgakololo ya kalafi ya porofeshenale kgotsa wa diega go e batla ka ntlha ya sengwe se o se badileng mo website eno. Fa o akanya gore o ka tswa o na le boemo jwa tshoganyetso jwa kalafi, leletsa 911 kgotsa o ye kwa kamoreng ya tshoganyetso e e gaufi le wena ka bonako. Ga go na kamano epe ya ngaka le molwetse e e tlisiwang ke website eno kgotsa go e dirisa. BioMedLib kgotsa badiri ba yone, kgotsa ope fela yo o tsentseng letsogo mo website eno, ga ba dire ditshupetso dipe, tse di tlhamaletseng kgotsa tse di sa tlhamalalang, malebana le tshedimosetso e e mo go yone kgotsa go e dirisa.']
['Go ikgatholosa: ditshwanelo tsa bokwadi']
['Molao wa Digital Millennium Copyright wa 1998, 17 U.S.C. § 512 (the DMCA) o tlamela ka kgetse ya beng ba ditshwanelo ba ba dumelang gore matheriale o o tlhagelelang mo inthaneteng o gataka ditshwanelo tsa bona go ya ka molao wa ditshwanelo wa U.S.']
['Fa o dumela ka pelo yotlhe gore tshedimosetso kgotsa matheriale o o mo website ya rona kgotsa ditirelo tsa rona o gataka ditshwanelo tsa gago tsa semolao, wena (kgotsa moemedi wa gago) o ka re romelela kitsiso o kopa gore tshedimosetso eo kgotsa matheriale oo o tlosiwe kgotsa o thibelwe go o fitlhelela.']
['Dikitsiso di tshwanetse go romelwa ka go kwala ka imeili (leba karolo ya "Contact" go bona aterese ya imeili).']
['DMCA e batla gore kitsiso ya gago ya go tlolwa ga ditshwanelo tsa gago e akaretse tshedimosetso e e latelang: (1) tlhaloso ya tiro e e sireleditsweng ka ditshwanelo e go tweng e tlotswe; (2) tlhaloso ya diteng tse go tweng di tlotswe le tshedimosetso e e lekaneng go re letla go bona diteng; (3) tshedimosetso ya go ikgolaganya le wena, go akaretsa aterese ya gago, nomoro ya mogala le aterese ya imeile; (4) polelo ya gago ya gore o dumela ka pelo yotlhe gore diteng tse di tlotsweng ga di a letlelelwa ke mong wa ditshwanelo tsa gago, kgotsa moemedi wa gagwe, kgotsa ka molao ope; ']
['(5) polelo e e saenilweng ke wena, e e supang gore tshedimosetso e e mo kitsisong e boammaaruri le gore o na le thata ya go diragatsa ditshwanelo tsa botaki tse go tweng di gatakilwe;']
['le (6) saena ya mmatota kgotsa ya eleketeroniki ya mong wa tshwanelo ya go gatisa kgotsa motho yo o filweng tetla ya go dira mo boemong jwa mong wa tshwanelo ya go gatisa. ']
['Fa o sa akaretse tshedimosetso yotlhe e e fa godimo e ka nna ya diegisa go sekasekwa ga ngongorego ya gago.']
['Go Ikgolaganya']
['Tsweetswee re romelele imeile ka potso/kgakololo epe fela.']
How to prevent alzheimer?
There is no known cure for Alzheimer's disease, but there are several strategies that may help prevent or delay its onset.
These include:
1. Maintaining a healthy lifestyle: Eating a balanced diet, exercising regularly, and getting enough sleep can help keep your brain healthy and reduce the risk of developing Alzheimer's.
2. Engaging in mental activities: Keeping your mind active through activities such as reading, puzzles, and games can help maintain cognitive function and reduce the risk of Alzheimer's.
3. Social engagement: Staying socially active and connected with friends and family can help reduce the risk of Alzheimer's.
4. Managing chronic conditions: Conditions such as diabetes, high blood pressure, and high cholesterol can increase the risk of Alzheimer's, so it's important to manage these conditions effectively.
5. Avoiding head injuries: Head injuries can increase the risk of Alzheimer's, so it's important to take precautions to avoid them, such as wearing a helmet when engaging in activities like cycling or skiing.
6. Limiting alcohol consumption: Excessive alcohol consumption can increase the risk of Alzheimer's, so it's important to drink in moderation.
7. Managing stress: Chronic stress can increase the risk of Alzheimer's, so it's important to find healthy ways to manage stress, such as through meditation or relaxation techniques.
8. Regular check-ups: Regular check-ups with your doctor can help identify any potential health issues early on and allow for early intervention.
It's important to note that while these strategies may help reduce the risk of Alzheimer's, they are not guaranteed to prevent the disease.
More research is needed to fully understand the causes of Alzheimer's and how to prevent it.
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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['Mo e ka nnang']
['BioMedLib e dirisa dikhomputara tse di itirisang (machine-learning algorithms) go dira dipotso le dikarabo.']
['Re simolola ka dikgatiso di le dimilione di le 35 tsa tsa kalafi ya ditshedi tsa PubMed/Medline. Gape, ditsebe tsa Web tsa RefinedWeb.']
