Betula - åldrande, minne och demens Betula; The Betula cohort stud; The Betula prospective cohort study The Betula Project - Aging, memory and dementia ext0045-1-1 2013-92-31M 08-132 03-484 97-173 (§7/870303) Swedish National Data Service Svensk nationell datatjänst Betula - åldrande, minne och demens Betula; The Betula cohort stud; The Betula prospective cohort study The Betula Project - Aging, memory and dementia ext0045-1-1 2013-92-31M 08-132 03-484 97-173 (§7/870303) 10.1016/j.arr.2020.101184 urn:nbn:se:umu:diva-176224 Nyberg, Lars Nyberg, Lars Nilsson, Lars-Göran Nilsson, Lars-Göran Adolfsson, Rolf Adolfsson, Rolf Bäckman, Lars Bäckman, Lars K2010-61X-21446-01 K2010-61X-21446-01 Swedish National Data Service Svensk nationell datatjänst NEAR - National E-Infrastructure for Aging Research in Sweden The global increase in life expectancy is one of the greatest achievements of the last half century. However, the demographic development towards an older population poses tremendous societal and medical challenges globally, especially in developed countries such as Sweden. Promoting healthy ageing is therefore one of the most important commitments of the 21st century and to succeed, scientifically based knowledge of older individuals’ health- and care requirements are needed. To better understand the individual and population aging process, the National E-infrastructure for Aging Research (NEAR) was founded in 2018 to build and run a national infrastructure by integrating existing databases from the major population-based longitudinal studies on aging and health in Sweden. NEAR comprises 15 databases located at 8 different universities, which allows comparison, integration, and pooling of data from a large Swedish sample of 180 000 older adults aged 50+ years. NEAR includes information on clinical, biological, social, and environmental data that are assessed at the individual level by physicians, nurses, and psychologists on several occasions during a follow-up period ranging between 12 and 52 years. The creation of a national infrastructures, such as NEAR, is needed to achieve broad, multidisciplinary research perspectives that cannot be achieved by individual databases. Moreover, to address the increased health demands of an older population and enhance new opportunities for aging research, a critical mass of data is needed to increase sample sizes, variations, representativeness, and generalizability. Ultimately, this can lead to the identification of sustainable intervention strategies for better health and care for older persons in Sweden during the coming decades. Den globalt ökade livslängden är en av de senaste halvseklets största landvinningar. Men den demografiska utvecklingen mot en äldre befolkning innebär även enorma samhälleliga och medicinska utmaningar globalt och särskilt i utvecklade länder som Sverige. Att främja ett hälsosamt åldrande är därför en av 2000-talets viktigaste åtaganden och för att lyckas behövs vetenskapligt baserad kunskap om äldres hälsa och vårdbehov. För att bättre förstå åldrandet utifrån ett individuellt samt grupperspektiv grundades den nationella e-infrastrukturen för äldreforskning (NEAR) år 2018. Denna nationella infrastruktur har byggts upp och drivs genom att integrera befintliga databaser från de största populationsbaserade longitudinella studierna om åldrande och hälsa i Sverige. NEAR består av 15 databaser från 8 olika universitet vilket möjliggör jämförelse, integrering och sammanslagning av data från ett stort urval av 180 000 individer som är 50 år och äldre. NEAR tillhandahåller kliniska, biologiska, sociala och miljömässiga data som samlats in på individnivå av läkare, sjuksköterskor och psykologer vid upprepade tillfällen över en uppföljningsperiod som varierar mellan 12 och 52 år. En nationell infrastruktur som NEAR behövs för att uppnå multidisciplinära forskningsperspektiv som inte kan åstadkommas genom användandet av enskilda databaser. För att ta itu med de ökade hälsoutmaningarna som kommer med en åldrande befolkning, samt förbättra nya möjligheter till äldreforskning behövs dessutom en kritisk massa av data för att öka urval, variation, representativitet och generaliserbarhet. I slutändan kan detta leda till utvecklandet av hållbara interventionsstrategier för bättre hälsa och omsorg av äldre i Sverige under de kommande decennierna. Aged Äldre AGEING ÅLDRANDE Age Groups Åldersgrupper Activities of Daily Living Aktiviteter i dagliga livet Environment and Public Health Miljö och folkhälsa Diagnosis Diagnos Data Collection Datainsamling Dementia Demens Behavior and Behavior Mechanisms Beteende och beteendemekanismer Life Style Livsstil Interview Intervjuer [Publikationstyp] Medicine Medicin Geriatric Nursing Äldrevård Memory Minne Longitudinal Studies Longitudinella studier Population Surveillance Populationsövervakning Risk Factors Riskfaktorer Epidemiology Epidemiologi Public Health Folkhälsa Genes Gener Genetics Genetik Genetic Markers Genetiska markörer Health Hälsa Retention, Psychology Minnesförmåga (Psykologi) Heredity Ärftlighet General health and well-being Allmän hälsa och välbefinnande The Betula Project is a longitudinal study of aging, memory and dementia. Data was collected through six waves between 1988–2014: 1988-1990 (test wave 1); 1993-1995 (test wave 2); 1998-2000 (test wave 3); 2003-2005 (test wave 4); 2008-2010 (test wave 5); 2013-2014 (test wave 6). For each test wave participants completed a thorough physical examination with blood tests of a nurse and a careful examination of a memory tester. There are data collected from approximately 4,700 participants. On each occasion, data for about 2000 variables were collected for each participant, which includes data on demographics, health, illness, medication, social and cognitive factors. The Betula project has received funding for research infrastructures (large databases) from the Swedish Research Council. This means a major effort to make the Betula database available to researchers outside the project through collaborations with researchers within the Betula project. To the Betulas database, genetic data and biological samples are also connected. Purpose: Study how memory functions change during adult life, to identify risk factors for dementia and to identify early preclinical signs of dementia and determine the critical factors of successful aging. Betulaprojektet är en longitudinell studie av åldrande, minne och demens. Insamlingen till projektet skedde i sex vågor mellan 1988–2014: 1988–1990 (testvåg 1); 1993–1995 (testvåg 2); 1998–2000 (testvåg 3); 2003–2005 (testvåg 4); 2008–2010 (testvåg 5); 2013–2014 (testvåg 6). Vid varje testtillfälle har varje deltagare genomgått en noggrann hälsoundersökning med blodprovstagning hos en sjuksköterska och en noggrann undersökning hos en minnestestare. Det finns data insamlat från ca 4700 deltagare. Vid varje tillfälle insamlas data för ungefär 2000 variabler för varje deltagare som inkluderar data om demografi, hälsa, sjukdom, medicinering, sociala faktorer och kognitiva faktorer. Betulaprojektet har fått bidrag för forskningsinfrastruktur (stora databaser) från Vetenskapsrådet. Det innebär en kraftig satsning på att bygga upp databasen för Betula och göra databasen tillgänglig även för forskare utanför projektet i form av samarbeten med forskare direkt kopplade till Betulaprojektet. Till Betulas databas är även kopplad gendata och biologiska prov. Syfte: Studera hur minnesfunktioner förändras under vuxenlivet, att bestämma riskfaktorer för demens och tidigare prekliniska tecken på demens och att bestämma vilka de kritiska faktorerna av det goda åldrandet är. 1988 1990 1993 1995 1998 2000 2003 2005 2008 2010 2013 2014 Sweden Sverige IndividualIndividual IndividIndivid Indivduals in agegroups between 25-80 living in Umeå county. Personer i åldersgrupper mellan 25-80 år bosatta i Umeå kommun. Numeric Text 1000 individuals in age groups 35, 40, 45, 50, 55, 60, 65, 70, 75 and 80 were randomly selected (sample 1, S1). There were 100 individuals i each age cohort, the gender distribution reflected the gender distribution in the population ie about as many men as women in the younger age groups and about twice as many women as men from age group 70 and above (test occasion 1, T1) In T2, five years later, two new samples were added to the group, S2 (ca 1000, age 35-80) and S3 (ca 960, age 40-85). At T3 sample 4 was added (ca 500, age 35-90). At T4, sample 5 was added (ca 500, age 35-95) and at T5 sample 6 was added (ca 350, age 25-80).1000 individuals in age groups 35, 40, 45, 50, 55, 60, 65, 70, 75 and 80 were randomly selected (sample 1, S1). There were 100 individuals i each age cohort, the gender distribution reflected the gender distribution in the population ie about as many men as women in the younger age groups and about twice as many women as men from age group 70 and above (test occasion 1, T1) In T2, five years later, two new samples were added to the group, S2 (ca 1000, age 35-80) and S3 (ca 960, age 40-85). At T3 sample 4 was added (ca 500, age 35-90). At T4, sample 5 was added (ca 500, age 35-95) and at T5 sample 6 was added (ca 350, age 25-80). 1000 personer i åldersgrupperna 35, 40, 45, 50, 55, 60, 65, 70, 75 och 80 blev slumpmässigt utvalda (sample 1, S1). Det ingick 100 personer i varje ålderskohort, könsfördelningen avspeglade könsfördelningen i populationen d.v.s ungefär lika många män som kvinnor i de yngre åldrarna, ungefär dubbelt så många kvinnor som män från åldersgruppen 70 och uppåt (testtillfälle 1, T1). Vid T2, fem år senare, inkallades ytterligare två sample, S2 (ca 1000 st, 35-80 år) och S3 (ca 960 st, 40-85 år). Vid T3 kallades sample 4 in (ca 500st, 35-90 år). Vid T4, kallades sampel 5 in (ca 500 st, 35-95 år) och vid T5 kallades sample 6 (ca 350st, 25-80 år).1000 personer i åldersgrupperna 35, 40, 45, 50, 55, 60, 65, 70, 75 och 80 blev slumpmässigt utvalda (sample 1, S1). Det ingick 100 personer i varje ålderskohort, könsfördelningen avspeglade könsfördelningen i populationen d.v.s ungefär lika många män som kvinnor i de yngre åldrarna, ungefär dubbelt så många kvinnor som män från åldersgruppen 70 och uppåt (testtillfälle 1, T1). Vid T2, fem år senare, inkallades ytterligare två sample, S2 (ca 1000 st, 35-80 år) och S3 (ca 960 st, 40-85 år). Vid T3 kallades sample 4 in (ca 500st, 35-90 år). Vid T4, kallades sampel 5 in (ca 500 st, 35-95 år) och vid T5 kallades sample 6 (ca 350st, 25-80 år). Probability: StratifiedProbability: Stratified Sannolikhetsurval: stratifierat urvalSannolikhetsurval: stratifierat urval Psychological measurements and tests, physical measurements and tests, and self-administered questionnaires.Psychological measurements and tests, physical measurements and tests, and self-administered questionnaires. Psykologiska mätningar och tester, fysiska mätningar och tester, samt självadministrerade frågeformulär.Psykologiska mätningar och tester, fysiska mätningar och tester, samt självadministrerade frågeformulär. Psychological measurements and tests, physical measurements and tests, and self-administered questionnaires.Psychological measurements and tests, physical measurements and tests, and self-administered questionnaires. Psykologiska mätningar och tester, fysiska mätningar och tester, samt självadministrerade frågeformulär.Psykologiska mätningar och tester, fysiska mätningar och tester, samt självadministrerade frågeformulär. Psychological measurements and tests, physical measurements and tests, and self-administered questionnaires.Psychological measurements and tests, physical measurements and tests, and self-administered questionnaires. Psykologiska mätningar och tester, fysiska mätningar och tester, samt självadministrerade frågeformulär.Psykologiska mätningar och tester, fysiska mätningar och tester, samt självadministrerade frågeformulär. Psychological measurements and tests, physical measurements and tests, and self-administered questionnaires.Psychological measurements and tests, physical measurements and tests, and self-administered questionnaires. Psykologiska mätningar och tester, fysiska mätningar och tester, samt självadministrerade frågeformulär.Psykologiska mätningar och tester, fysiska mätningar och tester, samt självadministrerade frågeformulär. Psychological measurements and tests, physical measurements and tests, and self-administered questionnaires.Psychological measurements and tests, physical measurements and tests, and self-administered questionnaires. Psykologiska mätningar och tester, fysiska mätningar och tester, samt självadministrerade frågeformulär.Psykologiska mätningar och tester, fysiska mätningar och tester, samt självadministrerade frågeformulär. Psychological measurements and tests, physical measurements and tests, and self-administered questionnaires.Psychological measurements and tests, physical measurements and tests, and self-administered questionnaires. Psykologiska mätningar och tester, fysiska mätningar och tester, samt självadministrerade frågeformulär.Psykologiska mätningar och tester, fysiska mätningar och tester, samt självadministrerade frågeformulär. Access to data through an external actor. Access to data is restricted. Åtkomst till data via extern aktör. 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