Dissertations / Theses on the topic 'Lifestyle and health'
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Basu, Rashmita. "Healthy lifestyle, disease prevention and health care utilization." Pullman, Wash. : Washington State University, 2009. http://www.dissertations.wsu.edu/Dissertations/Fall2009/r_basu_112309.pdf.
Full textTreytyak, I. V. "Healthy lifestyle." Thesis, Sumy State University, 2014. http://essuir.sumdu.edu.ua/handle/123456789/45354.
Full textElster, Judi. "Healthy Lifestyle Practice Among Online Health Psychology Graduate Students." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7637.
Full textNeville, Charlotte Eleanor. "Diet, lifestyle and musculoskeletal health." Thesis, Queen's University Belfast, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.534615.
Full textCassidy, Sophie. "Lifestyle and cardio-metabolic health." Thesis, University of Newcastle upon Tyne, 2016. http://hdl.handle.net/10443/3306.
Full textZdravkovic, Uljana. "Diet, lifestyle and heart health parameters in adolescents." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ63169.pdf.
Full textBaker, Rachel Mairi. "Economic rationality, health and lifestyle choices." Thesis, University of Newcastle Upon Tyne, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.397297.
Full textOh, Hannah. "Lifestyle, Hormones, and Breast Cancer." Thesis, Harvard University, 2014. http://nrs.harvard.edu/urn-3:HUL.InstRepos:14117761.
Full textStamp, Elizabeth. "Mental toughness and health-related lifestyle factors." Thesis, University of Lincoln, 2017. http://eprints.lincoln.ac.uk/28659/.
Full textDraper, Glenn. "Socioeconomic health differences : lifestyle and consumer choice /." [St. Lucia, Qld.], 2001. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16952.pdf.
Full textLewis, Rebekah. "Nutrition, health and lifestyle of ballet dancers." Thesis, London South Bank University, 1998. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.265357.
Full textSakki, T. (Tero). "Lifestyle and oral health of 55-year-olds." Doctoral thesis, Oulun yliopisto, 1999. http://urn.fi/urn:isbn:9514252659.
Full textPálsdóttir, Ágústa. "Health and lifestyle : Icelanders ̕everyday life information behaviour /." Åbo : Åbo Akad. Förl. [u.a.], 2005. http://www.loc.gov/catdir/toc/fy0611/2006402076.html.
Full textWhelan, Maxine E. "Persuasive digital health technologies for lifestyle behaviour change." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/32507.
Full textPrestwich, Laura L. "Health and Lifestyle among Ute Native American Elders." DigitalCommons@USU, 2000. https://digitalcommons.usu.edu/etd/5475.
Full textHuang, Tianyi. "Psychosocial Factors, Lifestyle and Risk of Ovarian Cancer." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:16121145.
Full textEpidemiology
Juneby, Hans Bertil. "Lifestyle Medicine – a faith-based perspective." Thesis, Örebro universitet, Institutionen för hälsovetenskap och medicin, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-27062.
Full textYuan, Changzheng. "Nutrient Validation In Women's Lifestyle Validation Study." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:16121152.
Full textNutrition
Pauline, Jeffrey Scott. "Lifestyle management the effects of an intensive lifestyle management course on behavioral, psychological, physiological, and psycho-behavioral factors /." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=1897.
Full textTitle from document title page. Document formatted into pages; contains xiii, 178 p. : ill. Includes abstract. Includes bibliographical references (p. 124-136).
Walker, Zoe Alice Katherine. "The effects on health and health behaviour of inviting adolescents to a consultation within the general practice setting." Thesis, University of Hertfordshire, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366036.
Full textBurrill, Elizabeth. "Health conception, family health work and health-promoting lifestyle practices in Latin American Mennonite families." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0010/MQ30781.pdf.
Full textMeng, Shasha. "Mitochondrial DNA Copy Number, Lifestyle and Cancer Risk." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:16121153.
Full textEpidemiology
Box, Graham Nigel. "Justice and health care : allocating liability for lifestyle illness." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287074.
Full textKwok, Man-ki, and 郭文姬. "Short and medium term health outcomes of infant lifestyle." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B4475873X.
Full textNilsson, Lena Maria. "Sami lifestyle and health : epidemiological studies from northern Sweden." Doctoral thesis, Umeå universitet, Näringsforskning, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-51825.
Full textSyftet med denna avhandling var att beskriva livsstil och kostvanor hos samer. Det var också att undersöka hur en ”traditionell samisk” livsstil påverkar risken att insjukna av eller dö i cancer och hjärt-/kärlsjukdom i en norrländsk normalbefolkning. En majorietsbefolkning har alltså undersökts ur ett minoritetsperspektiv. Avhandlingen belyser framför allt kostvanor, fördelning av de näringsämnen som innehåller energi (kolhydrat, protein, fett) och konsumtion av kok- och bryggkaffe. Bakgrunden till undersökningarna var att samerna, till skillnad från de flesta andra urfolk i världen, kan förvänta sig ett lika långt liv som majoritetsbefolkningen. När det gäller hjärtkärlsjukdom finns inga stora etniska skillnader, men samiska män, särskilt renskötande, har lägre risk att drabbas av cancer än icke-samer. Det finns ingen entydig förklaring till samernas relativt goda hälsa, men det kan finnas ett samband med kostvanor och livsstil. Delstudie I var en intervjustudie med äldre samer och fungerade som bakgrund för de andra delstudierna. Tjugo äldre samer intervjuades om sina föräldrars livsstil och kostvanor för 50-70 år sedan. Dessutom analyserades kostdata från 81 renskötande och 226 icke-renskötande samer och 1842 matchade icke-samer för att se vilka skillnader som fanns mellan grupperna. Intervjuerna visade överraskande att fet fisk kan ha varit viktigare än renkött för samerna i södra Lappland under 1930-1950-talen. Fet fisk äts fortfarande i högre utsträckning av renskötande samer än av andra samer och icke-samer. Saker som har hög kulturell betydelse (i detta fall renkött) behöver alltså inte alltid ha lika stor betydelse ur ett objektivt, vetenskapligt perspektiv. Andra typiska särdrag hos den samiska kosten var en hög andel av fett, blod och kokkaffe och en låg andel av bröd, fibrer och odlade grönsaker. Det dagliga livet hos samerna på 1930-1950-talen präglades också mycket mer av fysisk aktivitet än vad det gör idag. De samiska männen arbetade oftast långt hemifrån, medan kvinnorna hade ansvaret hemmavid för fiske, jordbruk och trädgårdsskötsel (som introducerades under 1930-1950-talen). Kvinnorna tog även hand om hushållsarbetet och barnen. Delstudierna II-V handlade om olika aspekter av samisk kost i relation till dödlighet och sjuklighet. Till dessa användes huvudsakligen data från Västerbottens hälsoundersökningar, men i delstudie V även från MONICA-projektet, som är en del av ett multinationell forskningsprojekt om hjärt-/kärlsjukdom. Totalt ingick på så sätt data från mer än 80 000 unika individer från en allmän, till största delen icke-samisk, normalbefolkning. Delstudie II byggde på en modell liknande den som använts för att undersöka hälsoeffekter av så kallad Medelhavsdiet. En poängskala från 0-8 poäng, en så kallad ”Sami diet score”, skapades för att spegla likheter med ”traditionell samisk” kost. Den hälft av deltagarna som åt mest rött kött, fet fisk, fett, bär respektive kokkaffe, fick 1 poäng var, sammanlagt maximalt 5 poäng. Den hälft av deltagarna som åt minst grönsaker, bröd respektive fibrer fick också 1 poäng var, sammanlagt maximalt 3 poäng. Stora likheter med en ”traditionell samisk” kost, det vill säga höga ”Sami diet score” poäng, var förknippade med en svagt ökad dödlighet, särskilt hos männen. Det verkar därför osannolikt att den samiska kosten i sig förklarar den relativt goda hälsan hos samer. Denna fråga är dock mycket svår att undersöka, eftersom kostvanorna kan ha skiljt sig mellan olika samegrupper och över tid. Dessutom äter dagens västerbottningar mycket mindre av vissa livsmedel, jämfört med vad samerna gjorde förr i tiden. Det gäller till exempel fet fisk och bär. För sådana livsmedel kan det därför vara extra svårt att påvisa samband med dödlighet. Syftet med kostenkäten i Västerbottens hälsoundersökningar är inte heller att spegla en ”traditionell samisk” kost. Det finns till exempel inga frågor om renkött och vilt, utan sådant kött räknas som en del av övrigt rött kött. Det här är första gången som någon undersökt betydelsen av ett ”traditionellt samiskt” kostmönster för hälsan på detta sätt. Fler liknande undersökningar i material med mer detaljerade frågor, som bättre fångar en samisk kost, är önskvärda. Lågkolhydratdieter, som har vissa likheter med den ”traditionella samiska” kosten, är både populära och kontroversiella. Eventuella långtidseffekter för hälsan är till stor del okända. I delstudie III speglades förhållandet mellan kolhydrater och protein i kosten med hjälp av så kallade LCHP (låg-kolhydrat, hög-protein) poäng. Högsta LCHP poäng fick de deltagare som åt minst kolhydrater och mest protein. Höga LCHP poäng påverkade inte risken att dö, eller att dö i cancer eller hjärt-/kärlsjukdom, efter att statistisk hänsyn tagits till intaget av mättat fett och de vanligaste riskfaktorerna. LCHP score användes i denna studie, istället för exempelvis en LCHF (low carbohydrate, high fat) variant. På så sätt kunde betydelsen av total fettmängd och av mättat fett också vägas in i analyserna. Dessutom innehåller kolhydrater och protein samma mängd energi per gram, vilket gör det lättare att byta ut dem mot varandra i en poängskala. Fett innehåller nästan dubbelt så mycket energi per gram som proteiner och kolhydrater. Inte bara olika sorters fett, utan även olika sorters protein och kolhydrater, kan spela roll för hälsan. Det är därför mycket svårt att skilja ut effekterna av mängd och kvalitet av kolhydrater, protein och fett i kosten. I delstudierna IV och V undersöktes risken att bli sjuk i cancer eller få en akut hjärtinfarkt hos västerbottningar som dricker mer respektive mindre kok- och bryggkaffe. De som drack mycket kaffe hade varken ökad generell cancerrisk, eller ökad risk för prostata- eller tjocktarmscancer. Kvinnor som drack kokkaffe ≥ 4 ggr/dag hade minskad risk för bröstcancer jämfört med kvinnor som drack <1 gång/dag. Både totalt kaffeintag och intag av bryggkaffe var kopplade till ökad risk för bröstcancer hos yngre kvinnor och minskad risk hos äldre. Män som drack mycket kokkaffe hade ökad risk för cancer i luftvägarna. Dessa resultat visar att de som dricker olika sorters kaffe kan ha olika stor risk att drabbas av olika sorters cancer. I tidigare studier har inga starka samband hittats mellan kaffedrickande och cancer. Denna studie var den första att undersöka hur cancerriskerna ser ut hos människor som dricker olika sorters kaffe. När det gäller hjärtinfarkt, hade män som drack mycket bryggkaffe ökad risk, medan inga entydiga resultat kunde visas bland män som drack mycket kokkaffe. Tidigare studier har visat motstridiga resultat när det gäller kaffe och hjärt-/kärlsjukdom, även om kaffekonsumtion är vedertaget förknippat med en del faktorer som kan öka risken att drabbas av hjärtinfarkt, till exempel ökade halter av blodfetter. Betydelsen av kokkaffe har aldrig undersökts tidigare i en studie där uppgifter om kaffedrickande samlats in i förväg. Delstudierna II-V är alla så kallade observationsstudier. I sådana studier följer deltagarna ingen bestämd forskningsplan, utan lever sina normala liv och jämförs sedan med varandra. I observationsstudier är det mycket svårt att ta hänsyn till alla möjliga störande faktorer som kan finnas i omgivningen. Därför är det i princip omöjligt att bevisa direkta samband mellan orsak och verkan i en observationsstudie. Delstudierna II-V hade emellertid den starkaste design som en observationsstudie kan ha. De byggde på en representativ normalbefolkning (= en befolkningsbaserad kohort), där data samlats in från ett stort antal personer (> 80 000 unika individer) medan de ännu var friska (= en prospektiv kohort). Resultaten av enstaka observationsstudier har störst betydelse som underlag för att planera nya liknande, eller andra typer av mer riktade undersökningar. De är med andra ord hypotesgrundande. Om däremot flera observationsstudier visar på liknande resultat brukar man utgå från att resultaten är sanna, eller åtminstone sannolika.
(Nordsamiska) Guorahallama ulbmil lea muitalit sámi biepmu ja eallinvuogi birra ja iskat got árbevirolaš sámi borranvierut, makrobiebmama juogustus ja gáffegolaheapmi váikkuhit jámolašvuođa ja riskka oažžut borasdávdda dehe váibmo-/ suotnadávdda dábálaš davvi-ruoŧŧelaš ássiid luhtte. Guoktelogi sámi vuorrasa ledje jearahallon daid vánhemiid eallinvuogi ja borramuša birra 50-70 jagi áigi (Oassedutkan 1). Dasa lassin 397 sámi ja 1842 ruoŧŧelačča biebmandata guorahallojuvvo eahpe-paramehtarlaš iskamiid ja partialalaš unnimus kvadráhta metoda (PLS) mielde. Dát golbma čuovvovaš oassedutkama, gait kohortdutkamat, isket jápminsiva dehe borasdávdabuohccivuođa oaseváldiid luhtte Västerbottenis dearvas-vuohŧaiskkademiid hárrái (64 603-77 319 iskama) ja riskkaluoitimat leat rehkenaston Cox regrešuvnna mielde. Oassedutkamis 2 árbevirolaš sámi biebman lea speadjalaston čuokkesskála vuostá 0 rájes gitta 8 čuoggá. Dát bealli oaseváldiin geat leat eanemus rukses bierggu, buoiddes guoli, buoiddi, murjiid ja vuoššangáfe borran, lea ožžon 1 čuoggá juohke áidna biebmanelemeanta ovddas, oktiibuot eanemus 5 čuoggá. Vel 3 čuoggá dát bealli oaseváldiin lea ožžon geat lea unnimus šattuid, láibbi ja fiberiid borran, eanemus oktiibuot 3 čuoggá. Oassedutkamis 3 speadjalastá oktavuođa kolhydráhtaid ja proteiinnaid gaskkas biebmamis LCHP (vuolit-kolhydráhta, alit-proteiidna) čuoggáid bokte. Alimus LHCP čuoggát (=20) dát oasseváldit leat ožžon geat leat borran unnimus kolhydráhtaid ja eanemus proteiinnaid ja vuolimus čuoggát (=2) dát oasseváldit leat ožžon geat leat borran eanemus kolhydráhtaid ja unnimus proteiinnaid. Oassedutkamis 4 riska borasdávdabuohccivuođa ektui guorahallojuvvo brygg- ja vuoššangáffejuhkkiid luhtte. Oassedutkan 5 lei goallostuvvon dárkkástus-dutkan, gos riska fáhkkatlaš healladávdda oažžut gáffejuhkkiid luhtte rehkenasto logistihkalaš eaktuduvvon regrešuvnna bokte. Sáhttá leahkit nu ahte buoiddes guolli lea rievtti mielde leamašan deaŧaleabbo sámiide go boazobiergu lulli Lapplánddas 1930-1950-logus ja badjeolbmot ain dávjábut borret dan go iežá sámiid ja ruoŧŧelaččat. Iežá sierra erenomášvuohta sámi biebmamis lei alit oassi buoiddis, mális ja vuoššangáfes ja vuolit oassi láibbis, fiberiin ja šaddaduvvon šattuin (Oassedutkan 1). Stuora seammaláganvuođat árbevirolaš sámi biebmamiin, rievtti mielde alit Sami diet score čuoggát, ledje čatnon veahá aliduvvon jámolašvuhtii dievdduid luhtte muhto ii fal nissoniid luhtte (Oassedutkan 2). Biebman mas vuolit oassi kolhydráhtaid ja alit oassi proteiinnat, rievtti mielde alit LHCP čuoggát, ii váikkuhan riskka jápmit, maŋŋel go lea statistihkalaččat jurddašan ahte buoiddi borrat ja mat dát leat dát sajáiduvvon riskafáktorat (Oassedutkan 3). Gáffejuhkan ii lean čatnon eaneduvvon borasdávdariskii, iige eaneduvvon riskii oažžut prostata- gassačoalleborasdávdda. Nissoniin mat juhke vuoššangáfe ≥ 4 geardde/beaivái lei geahpeduvvon riska oažžut čižžeborasdávdda go nissonat mat juhke <1 geardde/beaivái. Ollesgáffe ja brygg-gáffe ledje čatnon eaneduvvon riskii oažžut čižžeborasdávddá nuorat nissoniid luhtte ja geahpeduvvon riskii vuorrasiin luhtte. Dievdduin mat juhke ollu vuoššangáfe lei eaneduvvon riska oažžut borasdávdda (Oassedutkan 4). Dievdduin mat juhke olu brygg-gáfe lei eaneduvvon riska oažžut healladávdda (Oassedutkan 5). Vuorrasit sámiid muitalusat man olu guoli sin vánhemat leat borran boazobierggu ektui 1930-1950-logus, čujuhit ahte bealit main alit kultuvrralaš mearkkašupmi eai dárbbaš seamma nanu objektivalš mearkkašumi atnit. Oassedutkamiid 2-5 bohtosat čujuhit ahte guorahallon bealit árbevirolaš sámi biebmamis ja eallinvuogis eai váikkut gárrasit dearvvašvuođa ja buohccivuođa dábálaš davviruoŧŧelaš ássiid luhtte.
(Lulesamiska) Dán guoradallama ájggom lij sáme biebmov ja viessomvuogev tsuojgodit, ja åtsådit gåk árbbedábak sáme bårråmdábe, stuoräládusebna juohkem ja káffajuhkam nuorttalándak álmmugin, bájnná jábmemav ja bårredávddabalov ja tsåhke-/ varravárredávddabalov. Guoktalågev sáme gatjádaláduvvin sijá äjgádij viessomvuoge ja biebmo birra 50-70 jage dán åvddåla (Oasseåtsålvis 1). Biebbmodáhtá 397 sámes ja 1842 láttes guoradaláduvvin parametragahtes gähttjalimij ja muhtem miere unnemus kvadráhta vuoge (PLS) viehkijn. Gålmmå tjuovvo oasseåtsådime, gájkka kohorttaåtsådime, vuolggin Västerbottena varresvuohtaåtsådimj oassálasstij jábmemårijs jali bårredávddaskihpudagájs (64 603-77 319). Ballamoarremerustallamav dahkin Cox regressionijn. Oasseåtsådibme 2 spiedjildij avtaárvojt árbbedábak sáme biebmon tjuokkesmåhtajn nållå rájes gávtse tjuoggáj. Dat lahkke oassálasstijs gudi bårrin ienemus ruoppsis biergov, buojdes guolev, buojdev, muorjijt ja máleskáfav, oattjoj avtav tjuoggáv juohkka avta bårråmoases, aktan 5 tjuoggá ienemusát. Ájn 3 tjuoggá oattjoj dat lahkke oassálasstijs mij båråj binnemus ruonudisájt, lájbijt ja fiberijt, aktan ienemusát 3 tjuoggá. Oasseåtsådibme 3 spiedjilt vidjurijt kolhydráhtaj ja proteijnaj gaskan biebmon nåv gåhtjodum LCHP (vuolle-kolhydráhta, alla-proteijna) tjuoggáj viehkijn. Alemus LCHP tjuoggájt (=20) oadtjun oassálasste gudi binnemus kolhydráhtajt ja ienemus proteinajt bårrin ja vuolemus LCHP tjuoggájt (=2) oassálasste gudi ienemus kolhydráhtajt ja binnemus proteijnajt bårrin. Oasseåtsådimen 4 åtsådaláduváj bårredávddaballo brygga- ja máleskáffajuhkkijn. Oasseåtsådibme 5 lij aktijdum guoradim-åtsådibme, gånnå káffajuhkkij tsåhkedávddaballo merustaláduváj aktijdam vihkemáhtsadime baktu. Vuordedahtek lij buojdes guolle ájnnasabbo gå boatsojbierggo sámijda oarjje Lapplándan 1930-1950-lågojn ja ájn vilá ällosáme guolev ienebut bårri gå ietjá sáme ja látte. Ietjá sierra merka sáme biebmon lij alep oasse buojdes, máles ja máleskáfas ja unnep oasse lájbes, fiberis ja sáddjidum ruonudisájs (Oasseåtsådibme 1). Árbbedábak sáme biebmo muoduk biebbmo, alep Sami diet score tjuoggáj, aktijaneduváj lasse jábmemijn sierraláhkáj ålmmåj hárráj (Oasseåtsådibme 2). Biebbmo vuolep kolhydráhttaåsijn ja alep proteijnnaåsijn, alla LCHP tjuoggáj, ittjij jábmembalov bájne, maŋŋel gå statistijkalattjat gehtjadam buojddebårråmijt ja ieme ballovidjurijt (Oasseåtsådibme 3). Káffajuhkam lij tjanádum juogu de lasse gájkkásasj bårredávddaballuj, jali lasse prostáhta- bahtatjoallebårredávddaj. Kujnajn gudi máleskáfav juhkin ≥ niellji bäjvváj lij binnep njidtjebårredávddaballo gå buohtastahttá kujnaj gudi < akti bäjvváj juhkin. Ålleskáffa ja bryggakáffa tjanáduváj lasse njidtjebårredávddaballuj nuorap kujnaj hárráj ja binnep vuorrasappoj. Ålmmåjn gudi juhkin edna máleskáfav lij lasse bårredávddaballo vuojŋŋamorgánajn (Oasseåtsådibme 4). Ålmmåjn gudi juhkin edna bryggakáfav lij lasse tsåhkedávddaballo (Oasseåtsådibme 5). Vuorrasap sámij tsuojggoma äjgádij guollebårråmis gå buohtastahttá boatsojbierggobårråmijn 1930-1950-lågo, vuosedi biele alla kultuvrak sisanos e agev dárbaha sämmi nanos objektijvak sisanov adnet. Oasseåtsådimij 2-5 båhtusa vuosedi åtsådum biele árbbedábak sámebiebmos ja viessomvuoges e varresvuodav ja skihpudagáv nuorttalándak álmmuga hárráj heva bájne.
(Sydsamiska) Dan goerehtimmien ulmie lea saemien beapmoem jïh jielemevuekiem buerkiestidh jïh dotkedh guktie aerpievuekien saemien beapmoevuekieh, makrobïepmehtimmiej juekeme jïh prïhtjhjovhkeme jaemedem jïh riskem dijpieh vaajmoe-/ jïh soeneskïemtjelassen muhteste noerhtesvöörjen sïejhmi årroji luvnie. Lea göökteluhkie saemien voeresh goerehtamme daej eejtegi jielemevuekien jïh beapmoen dïehre 50-70 jaepiej juassah (Stuhtjedotkeme 1). Dïsse lissine lea beapmoedaatam goerehtamme 397 saemijste jïh 1842 laedtijste ov-parametrihken gïehtjedimmiej jïh partiellen unnemes kvadraaten vuekien mietie (PLS). Dah golme båetien stuhtjedotkemh, gaajhkh kohortdotkemh, leah dotkeme man gaavhtan jaameme jallh mïetskeåedtjieskïemtjelassh daej luvnie gïeh meatan Västerbottenen healsoedotkemi muhteste (64 603-77 319 dotkemh) jïh riskeryøknemh dorjeme Cox regresjovnen viehkine. Stuhtjedotkemisnie 2 lea mohtedamme guktie aerpievuekien saemien beapmoe vaestede låhkoeraajterasse 0 raejeste 8 raajan. Daate bielie daejstie gïeh meatan gïeh jeenemes rööpses bearkoem, buajtehks gueliem, buejtiem, muerjieh jïh voessjemeprïhtjegem byöpmedamme, leah aktem låhkoem åådtjeme fïere guhte beapmoeelementen åvteste, jeenemes 5 låhkoeh. Dïsse lissine 3 låhkoeh åådtje daate bielie daejstie gïeh meatan gïeh unnemes kruanesaath, laejpiem jïh fiberh byöpmedamme, jeenemes 3 låhkoeh. Stuhtjedotkemisnie 3 daelie mohtede kolhydraath jïh proteinh beapmosne LHCP (vuelehks-kolhydraath, jïlle-proteine) låhkoej viehkine. Jillemes LHCP låhkoem åådtjeme (=20) dah gïeh meatan gïeh vaenemes kolhydraath jïh jeenemes proteinh byöpmedamme jïh vueliehkommes LHCP låhkoem (=2) åådtjeme dah gïeh meatan gïeh jeenemes kolhydraath jïh vaenemes proteinh byöpmedamme. Stuhtjedotkemisnie 4 riskem goerehtamme mietskeåedtjieskïemtjelassem åadtjodh brygg- jïh voessjemeprïhtjegejovhkiji luvnie. Stuhjtedotkeme 5 lïj tjetskeme-dotkeme gusnie riskem ryöknoe logistihken regresjovnen baaktoe jis maahta faahketji vaajmoedåeriesmoerh åadtjodh prïhtjhjovhkiji luvnie. Buajtehks guelie meehti vihkielåbpoe årrodh båatsoesaemide goh bovtsebearkoe åarjel Lapplaantesne 1930-1950-låhkosne jïh daamhtah båatsoesaemieh daam byöpmedieh jeenebe goh jeatjah saemieh jïh laedtieh. Jeatjah sïejhmi sjïere vuekieh saemien beapmosne lea jïlle stuhtje buejteste, maeleste jïh voessjemeprïhtjegistie jïh vuelie stuhtje laejpeste, fiberistie jïh kruanesaatijste (Stuhtjedotkeme 1). Jeenh saemien aerpievuekien beapmoe, jïlle Sami diet score låhkoeh, provhki vuesiehtidh vaenie jeananamme jaemede ålmaj gaskemsh bene ij nyjsenæjjaj gaskemsh (Stuhtjedotkeme 2). Beapmoe man vuelehks stuhtje kolhydraath jïh stoerre stuhtje proteijnh, jeenh LCHP låhkoeh, ij leah dïjpeme riskem jaemedh, dan mænggan goh lea ussjedamme statistihken muhteste man jeene buejtiem byöpmedidh jïh sijjiedahteme riskefaktovrh ussjedamme. (Stuhtjedotkeme 3). Prïhtjhjovhkeme ij leah tjoelmesovveme jeananamme mïetskeåedtjieriskese, jallh jeananamme riskese prostaate-voeresbuejtiemïetskeåedtjiem åadtjodh. Nyjsenæjjah gïeh voessjemeprïhtjegem jovhkeme ≥ 4 aejkien/biejjesne unnemes riskem utnin njammamïetskeåedtjiem åadtjodh nyjsenæjjaj muhteste gïeh jovhkeme <1 aejkien/biejjesne. Ellies prïhtjege jïh bryggeprïhtjege lea tjoelmesovveme jeananamme riskese njammamïestkeåedtjiem åadtjodh noere nyjsenæjjah luvnie jïh unniedamme riskem voeresi luvnie. Ålmah gïeh jeenh voessjemeprïhtjegem juvhkieh jeananamme riskem utnieh mïetskeåedtjiem åadtjodh girsesne (Stuhtjedotkeme 4). Ålmah gïeh jeenh bryggeprïhtjegem jovhkeme jeananamme riskem utnieh vaajmoedåeriesmoerem åadjtodh (Stuhtjedotkeme 5). Dah saemien voeresi soptsestimmieh man jeeneh gueliem daej eejtegh leah byöpmedamme bovtsebearkoem muhteste 1930-1950-låhkosne, vuesehte ahte daate bielie man vihkeles kultuvren sisvege ij eejnegen seamma objektiven sisvegem utnieh. Illeldahkh stuhtjedotkemijstie 2-5 vuesiehtieh ahte dah bielieh mejtie lea goerehtamme saemien aerpienvuekien beapmoen jïh jielemevuekien muhteste eah healsoem jïh skïemtjelassem dïjph jeenebe goh sïejme noerhtesvöörjen årrojh.
(Umesamiska) Dahte guoreteme suptseste saamien beäpmoen jah jielemevuökien biire jah giehtjedie guktie aarpievuökien saamien beäpmoeh, oajviebeäpmoeh jah kaavoeh mietete jaameke vahkake jah cancerenne jah vajmoen/ virreveättennea nuorthen allmetjeih luunie. Guökteluhke saamieih boariesh gihtjedihke lie elltie eihtegeh jielemevuökien jah beäpmoen biire dann baelie 50-70 jaapieh (Oasie 1). Jieneh beäpmoe-dataede dahkedihke lie 397 saamieiheste jah 1842 ruotseiheste dennake viehketihenne ieh parmetriske giehtjedemeh jah partiellen unnemes kvadraten vuökien miete (PLS). Dah gullme oasieh boatien kohort- luhkemeh, allkemme lie jaamemeste jall canceremeste mieteih Västerbottenen varaasgiehtjemeih luunie (64603-77319 ollu) vahkake-tsiehkesjeme dahkedihke Cox-enne regressione. Oasienne 2 vuöjnedihke leh akte laakatjenne aarpievuökien saamien beäpmoeh vuösstede akte tsiehkesjerairoe 0 – 8. Dahte bielie deistie gieh jienemes ruöpses beärrkoede, buöjteks guöliede, buöjtiede borrein jah vuossjeme kaavoede juukein, akte tsiehkie fierte beäpmoih outeste otjoin, jienemes 5 tsiehkieh.Vielie 3 tsiehkieh dahte bielie otjoin gieh unnemes jaamoede jah urhtsede, laipiede jah fiberede borrein, jienemes 3 tsiehkeh. Oasienne 3 vuöjnedihke aktevuotta gasske kolhydrateh jah proteieneh beäpmoenne LCHP-esne (vuöleke kolhydrateh, jylloeke-proteineh) tsiehkie. Jyllemes LCHP tsiehkieh (=20) dainie mietenne unnemes kolhydrateh jah ollomes proteineh borrein jah unnemes LCHP tsiehkieh (2) dainie mietenne ollomes kolhydrateh jah unnemes proteineh borrein. Oasienne 4 giehtjedihke vahkake cancerede brygg- jah vuossjeme kaavoe juukejenne. Oasie 5 tjohkenne lin kontrolle- giehtjedeme vahkake hiehke vaajmoe-narrenne kaavoe-juukejenne tsiehkiesjdihke logistiske regressionenne. Buöjteke guölieh borretdihke mahtein vieliebe buutsebeärrkoeste saamieihesne oarrjel saamien eätname 1930-1950 jaapienne jah vieliebe borretdihke buutsesaamieiheste guh jeätja saamieh jah ruotse-allmetjeh. Jeätja siejhme sierreme saamien beäpmoesne lin akte jylloeke oasie buöjtie-, viire-, jah vuossjeme kaavoeste jah akte vuöleke oasie laipie-, fibere-, joamoe jah urhtseste (Oasie 1). Ollu aktelaaka aarpievuökien saamien beäpmoeh, ollu Sami diet score tsiehkieh tjohkan lin vieliebe jaameme ollmaihenne sierrelaaka (oasie 2). Beäpmoihenne unne kolhydrateh jah ollu proteineh, ollu LCHP tsiehkie, ieh vahkake lasste jaamet, dann mingjelen guh statistiske ussjede valltedihke leh borremmiean gallane buöjtieste jah vihties vahkake faktoreiheste (oasie 3). Kaavoejuukeminne lin ieh vielebe aarpievuökien cancer-vahkake tjohkenne, jall vielebe vahkake prostate-kolorektale-cancere. Nyesenejah guh vuossjeme kaavoe juukein ≥4 aikieh/biejvie unnebe vahkake nitje-cancereb lin muhteste nyesenejanneh gieh <1 aikie/biejvie juukein. Gaihkekaavoe jah brygg-kaavoe lie tjoahkan vielebe nitje cancereb nyesenejanne jah unnebe vahkake boariesh nyesenejaihenne. Ollma guh ollu vuossjeme kaavoeb juukein cancereste gonkelmesenne vieliebe vahkake otjoin (oasie 4). Ollma guh ollu brygg-kaavoe vajmoe-narreme vieleb vahkake otjoin (oasie 5). Dah boariesh saamieh suptsestemeh man jingje guöliede elltie eihtegeh buutsebeärrkoeh borrein 1930-1950-aikie, vuösiete dahte bielie veäksekes kulture miele ieh gaihke aikie darpesjedennake veäksekes objektive miele leh. Oasie 2-5 vuösiete dah giehtjedemes dahte bielie aarpievuökien saamien beäpmoen jah jielemen vuökien ieh varaas jah skieptjeme mietete ieh nuorthen almetejeh ollu.
Alafif, Nora Obid. "Social, health and lifestyle predictors of sleep during pregnancy." Thesis, University of Leeds, 2016. http://etheses.whiterose.ac.uk/17030/.
Full textVranich, Martha Ann. "Lifestyle activity: A report to promote the future health." CSUSB ScholarWorks, 1998. https://scholarworks.lib.csusb.edu/etd-project/1779.
Full textChu, Paula N. "Identifying High-Value Lifestyle Interventions for Cardiovascular Disease Prevention." Thesis, Harvard University, 2016. http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493540.
Full textHealth Policy
Contoyannis, Paul. "Essays on the causes and consequences of inequalities in health." Thesis, University of York, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310902.
Full textBayog, Maria Lourdes Geronimo. "Impact of Acculturation and Lifestyle Health Behaviors on Cardiovascular Health among Filipinos in California." Thesis, University of California, San Francisco, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10133432.
Full textBackground: Cardiovascular disease (CVD) is the leading cause of death among all major racial and ethnic groups in the United States (US) and worldwide. Filipinos are the second largest Asian immigrant group in the US. Healthful lifestyle behaviors are cardioprotective factors, but have been under-, overestimated, or not studied among Asian American subgroups.
Objective: The purpose of this dissertation was to describe the cardiovascular health, cardiovascular mortality, cardiometabolic and lifestyle health behaviors, acculturation, and predictors associated with CVD in the Filipino American population.
Methods: A systematic review of the literature was conducted which focused on the cardiovascular mortality, disease and clinical and behavioral risks of Filipinos in the US. Two secondary analyses of the 2011-2012 California Health Interview Survey dataset were conducted which focused on the cardiovascular health, CVD, acculturation, metabolic and lifestyle health behavior of Filipino Americans (n = 555).
Results: The systematic review suggested that Filipino Americans are at high risk for developing cardiovascular disease, for having CVD-related clinical health risks, for engaging in unhealthy CVD lifestyle behaviors, and dying from CVD, as compared to White, non-Hispanic and other Asian Americans in general and by gender. The prevalence of CVD was 7.4% among Filipinos in California. Hypertension, diabetes, physical inactivity, being overweight/obese, and inadequate consumption of fruits and vegetables were prevalent among Filipinos. Multivariate logistic regression analysis indicated that only hypertension was a significant predictor of CVD, controlling for the effects of age, gender, being born in the US, and diabetes. When taking into consideration acculturation factors in chronic diseases and health behaviors, US-born Filipinos had a significantly lower proportion of chronic diseases as compared to Filipinos not born in the US. Filipinos who lacked English proficiency reported more hypertension as compared to Filipinos who reported proficiency in English. A higher proportion of several positive health behaviors were reported among Filipinos not born in the US and those who did not speak English at home ate the recommended 35 or more servings per week of fruits and vegetables compared to their counterparts.
Conclusions: Further research is needed for culturally-appropriate interventions, education, and prevention programs which focus on health behaviors and chronic diseases, such as CVD, for Filipino Americans.
Salamonson, Yenna, University of Western Sydney, College of Social and Health Sciences, and School of Applied Social and Human Sciences. "Health-enhancing behaviours in first myocardial infarction survivors." THESIS_CSHS_ASH_Salamonson_S.xml, 2002. http://handle.uws.edu.au:8081/1959.7/267.
Full textDoctor of Philosophy (PhD)(Health)
Rosenkranz, Sara K. "Lifestyle influences on airway health in children and young adults." Diss., Manhattan, Kan. : Kansas State University, 2010. http://hdl.handle.net/2097/3871.
Full textGalvenius, Taina. "Sense of coherence, health and lifestyle in middle-aged women." Thesis, Stockholm University, Department of Psychology, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-40740.
Full textAccording to the salutogenic theory put forth by Antonovsky, an individual’s sense of coherence (SOC) is central for maintaining health. The present study used data from middle-aged women being part of a longitudinal research program to investigate how SOC relates to health status (in terms of self-rated health and medicine consumption) and a set of lifestyle factors (physical exercise, alcohol consumption, nicotine consumption and dietary habits). Women with a strong SOC were hypothesized to exhibit better health profiles, consume less medication, and lead a healthier lifestyle than women with a weak SOC. The findings partly confirmed the hypotheses in showing that women with a strong SOC had better self-rated overall health, better psychological well-being, fewer self-reported diseases and lower medicine consumption. Contrary to the hypothesis, women with stronger SOC had more self-reported psychological and physical symptoms. Of the lifestyle factors, only dietary habits were significantly associated with SOC. The study shows that SOC is related to differences in health and medicine consumption in a homogeneous group of middle-aged women, while the association between SOC and lifestyle was found to be less prominent.
Zamora, Soledad. "The Role of Arts in Nordic Society: Health and Lifestyle." Thesis, Högskolan i Halmstad, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-39035.
Full textBrown, Elise catherine. "The effectiveness of a school-based health enhancing lifestyle intervention." Thesis, University of the West of Scotland, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.742408.
Full textPhiri, Lindokuhle P. "A formative assessment of nurses' lifestyle behaviours and health status." Master's thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/15678.
Full textBackground: Previous research has identified health care workers (HCWs) and shift workers as having an increased risk for non-communicable diseases (NCDs). Nurses in particular have a high prevalence of obesity, poor eating habits and insufficient physical activity and are at an increased risk for NCDs. Nurses are required to work non-traditional hours, outside the parameters of traditional day shift. Furthermore, shift work is associated with obesity and lower levels of physical activity. Even though nurses' occupations require them to be active in doing ward rounds and other duties, it is possible for these professionals to be physically active, yet highly sedentary. Sedentary behaviours such as occupational sitting, leisure-time sitting and television (TV) viewing may be associated with overweight and obesity independent of physical activity. Aim: The primary aim of this mini-dissertation was to determine the health concerns, health priorities and barriers to living a healthy lifestyle among nurses and hospital management staff from public hospitals in the Western Cape Metropole, South Africa. The mini-dissertation included two different research methods. Study 1: The main purpose of this qualitative descriptive study was to describe health concerns, health priorities and determinants of healthy lifestyle behaviours among nurses. The objectively measured and self-reported physical activity and sedentary behaviour in day and night shift nurses were compared in Study 2. Combined, the results of these studies may be used to inform the development of worksite-related interventions for South African nurses. Methods: Participants for the first study were purposively sampled from public hospitals based in Cape Town, South Africa. The participants included 103 nurses, of whom 57 worked night shift and 36 worked day-shift. Twelve focus group discussion (FGD's) were conducted with nursing staff to obtain insight into their health concerns, lifestyle behaviours and the nature of and access to worksite health promotion programmes (Whip's). Nine hospital management personnel participated in key informant interviews (KII) to gain their perspective on health promotion in the worksite. The FGDs and interviews were conducted by a trained facilitator using guided questions. These included questions such as: 'What are your main personal health concerns?' and 'How does your work affect your lifestyle behaviours and health?' Thematic analysis was used 12 to analyse the qualitative data with the assistance of (Atlas.ti Qualitative Data Analysis Software (Scientific Software Development GmbH, Berlin, Germany). In a sub-study, 64 nurses (day shift n=30 and night shift n=34) working at two of the five public hospitals volunteered to complete a socio-demographic questionnaire and wear the ActiGraph GT3x accelerometer for 7 consecutive days to measure physical activity levels. Valid data was defined as ≥ 600 minutes wear time per day, minimum of 4 days (2 shift days and 2 non-shift days). In addition, self-reported physical activity was assessed using the Global Physical Activity Questionnaire (GPAQ). Statistical analyses included a T-test to determine differences in PA and SB between day and night shift nurses. If data were normally distributed, ANOVA (analyses of variance) was performed to determine the significant differences in continuous outcome variables between day and night shift nurses. If data were not normally distributed, such as the GPAQ data, a non-parametric comparison Mann Whitney U test was applied. Results: Study 1: Night shift nurses frequently identified weight gain and living with NCDs such as hypertension as their main health concerns. The hospital environment was perceived to have a negative influence on the nurses' lifestyle behaviours, including food service that offered predominantly unhealthy foods. The most commonly delivered WHPPs included independent counselling and advisory services, an online employee wellness programme. The Western Cape Department of Health also offered wellness days in which clinical outcomes, such as blood glucose were measured. Most nurses identified a preference for WHPPs that provided access to fitness facilities or support groups. Both nurses and management personnel frequently mentioned lack of time to prepare healthy meals and/or participate in physical activity due to being overtired from the long working hours. Furthermore, both management and nurses reported a stressful working environment. The fact that the nurses were most concerned with the problems of overweight, obesity and living with NCDs such as diabetes and hypertension indicate that there is a need and desire for WHPP's aimed at addressing these concerns. Study 2: Based on the objectively-measured results from accelerometry, all the nurses in the sub-study met the physical activity recommendations of 150 minutes or more of moderate to vigorous intensity physical activity per w eek. The day shift nurses reported more leisure-time moderate and vigorous intensity physical activity than the night shift nurses (p=0.028). Objectively-measured physical activity also showed that night shift nurses accumulated significantly more moderate intensity physical activity than the day shift nurses ( 16.6 ± 5.6 hrs/week versus 12.1 ± 13 4.5 hrs/week, respectively, p=0.001). In addition, night shift nurses accumulated more steps per day than day shift nurses (10324 ± 3414 versus 8022 ± 3245, p=0.013). Self-reported sedentary behaviour was similar for the two shifts, 3.0 ± 1.8 hours versus 4.0 ± 2.6 hours a day, for day and night shift, respectively. Objectively-measured sedentary behaviour (SB) was significantly lower (as a % of wake time) in night shift compared to day shift workers, 66% and 69%, respectively, p= 0.047. These differences between groups remained significant, even after adjusting for differences in body size and age. Furthermore, results from the Bland – Altman plots indicate that the nurses significantly underreported their sedentary time. Summary: The nurses in this study were concerned about NCDs and being overweight. They expressed an interest and willingness to participate in future hospital-based intervention programmes. The most frequently identified preference for WHPPs was access to fitness facilities or support groups. Despite the fact that all the nurses met the current public health recommendations for physical activity, objectively-measured SB was substantial, with both day and night shift nurses spending an average of 13 hours a day in SB. Findings from this study highlight the need for WHPPs that minimize sedentary behaviour and create a more supportive environment for physical activity.
Larcombe, Danica-Lea. "Health, lifestyle and nature disconnect in high-rise apartment dwellers." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2021. https://ro.ecu.edu.au/theses/2465.
Full textHoskin, Pauline Loretta Arnott, and University of Lethbridge Faculty of Education. "The health of nurses : their subjective well-being, lifestyle/preventive practices and goals for health." Thesis, Lethbridge, Alta : University of Lethbridge, Faculty of Education, 1987, 1987. http://hdl.handle.net/10133/18.
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Steinbinder, Amelia. "Instrument development to assess knowledge of lifestyle change." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276535.
Full textParker, Whadi-ah. "Lifestyle modification education in chronic diseases of lifestyle : insight into counselling provided by health professionals at primary health care facilities in the Western Cape, South Africa." Doctoral thesis, University of Cape Town, 2008. http://hdl.handle.net/11427/2742.
Full textIncludes bibliographical references.
The aim of this study is to conduct a formative assessment to explore health professionals’ capacity as well as the conditions within primary health care facilities in the Western Cape Metropole that facilitate or impede the provision of lifestyle modification education and counselling to patients with chronic diseases of lifestyle in order to make recommendations for an intervention programme that utilises available resources.
Perez, Norma Jean. "Development and validation of the proactive healthy lifestyle measures /." View online ; access limited to URI, 2004. http://wwwlib.umi.com.helin.uri.edu/dissertations/dlnow/3160035.
Full textBabatunde, Opeyemi Omobola. "Effects of lifestyle physical activity on premenopausal bone heath." Thesis, Staffordshire University, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.596081.
Full textTighe, Mary Beth. "Factors associated with health promoting lifestyle behaviors among radiation therapy patients /." The Ohio State University, 1999. http://rave.ohiolink.edu/etdc/view?acc_num=osu148819327206872.
Full textZoltick, Emilie Sela. "Nutritional and Lifestyle Factors for Cancer Incidence and Survival." Thesis, Harvard University, 2016. http://nrs.harvard.edu/urn-3:HUL.InstRepos:32644537.
Full textBarnes, Maria S. "Vitamin D Status: Lifestyle and Dietary Determinants and Implications for Health." Thesis, Ulster University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.487720.
Full textMontero, Maria L. M. "Health inequity in a neoliberal society : lifestyle choices or constrained practices?" Thesis, University of Warwick, 2015. http://wrap.warwick.ac.uk/82163/.
Full textHou, Miaomiao. "Health-related lifestyle, socioeconomic mediation, and successful aging : evidence from China /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?SOSC%202009%20HOU.
Full textLantz, Gregory. "Perceptions of Lifestyle as Mental Health Protective Factors Among Midwestern Amish." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7691.
Full textVoss, Miranda. "Healthy lifestyle interventions : a systematic review from a realist perspective." Master's thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/6028.
Full textKilpatrick, Michelle Louise. "Healthy@work? : Lifestyle factors and workplace health promotion." Thesis, 2015. https://eprints.utas.edu.au/23224/1/Kilpatrick_whole_thesis.pdf.
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