SwePub
Sök i LIBRIS databas

  Utökad sökning

WFRF:(Wahlund L O)
 

Sökning: WFRF:(Wahlund L O) > Umeå universitet > Do cardiovascular r...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00005921naa a2200565 4500
001oai:DiVA.org:su-106898
003SwePub
008140826s2014 | |||||||||||000 ||eng|
009oai:DiVA.org:umu-92636
009oai:prod.swepub.kib.ki.se:129530736
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1068982 URI
0247 a https://doi.org/10.1111/ene.123192 DOI
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-926362 URI
0247 a http://kipublications.ki.se/Default.aspx?queryparsed=id:1295307362 URI
040 a (SwePub)sud (SwePub)umud (SwePub)ki
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Wang, R.u Karolinska Institutet,Stockholms universitet,Centrum för forskning om äldre och åldrande (ARC), (tills m KI),Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet (KI) − Stockholm University, Stockholm, Sweden4 aut
2451 0a Do cardiovascular risk factors explain the link between white matter hyperintensities and brain volumes in old age? :b A population-based study
264 c 2013-12-07
264 1b Wiley,c 2014
338 a print2 rdacarrier
500 a AuthorCount:10;
520 a Background and purpose: White matter hyperintensities (WMHs) and brain atrophy frequently coexist in older people. However, it is unclear whether the association between these two brain lesions is dependent on the aging process, a vascular mechanism or genetic susceptibility. It was therefore investigated whether the association between load of WMHs and brain atrophy measures is related to age, vascular risk factors (VRFs) or the APOE-epsilon 4 allele. Methods: This population-based study included 492 participants (age >= 60 years, 59.6% women) free of dementia and stroke. Data on demographics, VRFs and APOE genotypes were collected through interviews, clinical examination and laboratory tests. WMHs on magnetic resonance images were assessed using manual visual rating and automatic volumetric segmentation. Hippocampal and ventricular volumes were manually delineated, whereas total gray matter (GM) volume was measured by automatic segmentation. Data were analyzed with multivariate linear regression models. Results: More global WMHs, assessed using either a visual rating scale or a volumetric approach, were significantly associated with lower GM volume and higher ventricular volume; the associations remained significant after adjusting for age, VRFs and the APOE-epsilon 4 allele. In contrast, the association between global WMHs and hippocampal volume was no longer significant after adjusting for age, whereas adjustment for VRFs and APOE-epsilon 4 had no influential effect. Conclusion: The association of global WMHs with lower GM volume and higher ventricular volume is independent of age, VRFs and APOE-epsilon 4 allele, suggesting that the process of cerebral microvascular disease and neurodegeneration are associated independently of the normal aging process, vascular mechanisms or genetic susceptibility.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Geriatrik0 (SwePub)302222 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Geriatrics0 (SwePub)302222 hsv//eng
653 a aging
653 a APOE genotype
653 a brain volume
653 a hippocampal volume
653 a population-based study
653 a vascular risk factors
653 a white matter hyperintensities
7001 a Fratiglioni, L.u Karolinska Institutet,Stockholms universitet,Centrum för forskning om äldre och åldrande (ARC), (tills m KI),Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet (KI) − Stockholm University, Stockholm, Sweden and Stockholm Gerontology Research Center, Stockholm, Sweden4 aut
7001 a Laveskog, A.u Karolinska Institutet4 aut
7001 a Kalpouzos, G.u Karolinska Institutet,Stockholms universitet,Centrum för forskning om äldre och åldrande (ARC), (tills m KI),Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet (KI) − Stockholm University, Stockholm, Sweden4 aut
7001 a Ehrenkrona, C. -Hu Stockholms universitet,Centrum för forskning om äldre och åldrande (ARC), (tills m KI),Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet (KI) − Stockholm University, Stockholm, Sweden4 aut
7001 a Zhang, Y.u Umeå universitet,Diagnostisk radiologi4 aut
7001 a Bronge, L.u Karolinska Institutet4 aut
7001 a Wahlund, L. -Ou Karolinska Institutet4 aut
7001 a Bäckman, L.u Karolinska Institutet,Stockholms universitet,Centrum för forskning om äldre och åldrande (ARC), (tills m KI),Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet (KI) − Stockholm University, Stockholm, Sweden and Stockholm Gerontology Research Center, Stockholm, Sweden4 aut
7001 a Qiu, C.u Karolinska Institutet,Stockholms universitet,Centrum för forskning om äldre och åldrande (ARC), (tills m KI),Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet (KI) − Stockholm University, Stockholm, Sweden4 aut
7102 a Stockholms universitetb Centrum för forskning om äldre och åldrande (ARC), (tills m KI)4 org
7730 t European Journal of Neurologyd : Wileyg 21:8, s. 1076-1082q 21:8<1076-1082x 1351-5101x 1468-1331
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-106898
8564 8u https://doi.org/10.1111/ene.12319
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-92636
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:129530736

Hitta via bibliotek

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy