Ontology type: schema:ScholarlyArticle Open Access: True
2019-12
AUTHORSE. Alkan, T. P. Taporoski, A. Sterr, M. von Schantz, H. Vallada, J. E. Krieger, A. C. Pereira, R. Alvim, A. R. V. R. Horimoto, S. Pompéia, A. B. Negrão, S. L. H. Evans
ABSTRACTCardiometabolic risk factors influence white matter hyperintensity (WMH) development: in metabolic syndrome (MetS), higher WMH load is often reported but the relationships between specific cardiometabolic variables, WMH load and cognitive performance are uncertain. We investigated these in a Brazilian sample (aged 50-85) with (N = 61) and without (N = 103) MetS. Stepwise regression models identified effects of cardiometabolic and demographic variables on WMH load (from FLAIR MRI) and verbal recall performance. WMH volume was greater in MetS, but verbal recall performance was not impaired. Age showed the strongest relationship with WMH load. Across all participants, systolic blood pressure (SBP) and fasting blood glucose were also contributors, and WMH volume was negatively associated with verbal recall performance. In non-MetS, higher HbA1c, SBP, and number of MetS components were linked to poorer recall performance while higher triglyceride levels appeared to be protective. In MetS only, these relationships were absent but education exerted a strongly protective effect on recall performance. Thus, results support MetS as a construct: the clustering of cardiometabolic variables in MetS alters their individual relationships with cognition; instead, MetS is characterised by a greater reliance on cognitive reserve mechanisms. In non-MetS, strategies to control HbA1c and SBP should be prioritised as these have the largest impact on cognition. More... »
PAGES4356
http://scigraph.springernature.com/pub.10.1038/s41598-019-40630-6
DOIhttp://dx.doi.org/10.1038/s41598-019-40630-6
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1112734671
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30867458
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1701",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Psychology",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Psychology and Cognitive Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "University of Surrey",
"id": "https://www.grid.ac/institutes/grid.5475.3",
"name": [
"Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, United Kingdom"
],
"type": "Organization"
},
"familyName": "Alkan",
"givenName": "E.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Sao Paulo",
"id": "https://www.grid.ac/institutes/grid.11899.38",
"name": [
"Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, United Kingdom",
"Laboratory of Genetics and Molecular Cardiology, Heart Institute (Incor), University of S\u00e3o Paulo Medical School, S\u00e3o Paulo, Brazil",
"Institute of Psychiatry, University of S\u00e3o Paulo Medical School, S\u00e3o Paulo, Brazil"
],
"type": "Organization"
},
"familyName": "Taporoski",
"givenName": "T. P.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Surrey",
"id": "https://www.grid.ac/institutes/grid.5475.3",
"name": [
"Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, United Kingdom"
],
"type": "Organization"
},
"familyName": "Sterr",
"givenName": "A.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Sao Paulo",
"id": "https://www.grid.ac/institutes/grid.11899.38",
"name": [
"Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, United Kingdom",
"Institute of Psychiatry, University of S\u00e3o Paulo Medical School, S\u00e3o Paulo, Brazil"
],
"type": "Organization"
},
"familyName": "von Schantz",
"givenName": "M.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Sao Paulo",
"id": "https://www.grid.ac/institutes/grid.11899.38",
"name": [
"Institute of Psychiatry, University of S\u00e3o Paulo Medical School, S\u00e3o Paulo, Brazil"
],
"type": "Organization"
},
"familyName": "Vallada",
"givenName": "H.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Sao Paulo",
"id": "https://www.grid.ac/institutes/grid.11899.38",
"name": [
"Laboratory of Genetics and Molecular Cardiology, Heart Institute (Incor), University of S\u00e3o Paulo Medical School, S\u00e3o Paulo, Brazil"
],
"type": "Organization"
},
"familyName": "Krieger",
"givenName": "J. E.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Sao Paulo",
"id": "https://www.grid.ac/institutes/grid.11899.38",
"name": [
"Laboratory of Genetics and Molecular Cardiology, Heart Institute (Incor), University of S\u00e3o Paulo Medical School, S\u00e3o Paulo, Brazil"
],
"type": "Organization"
},
"familyName": "Pereira",
"givenName": "A. C.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Sao Paulo",
"id": "https://www.grid.ac/institutes/grid.11899.38",
"name": [
"Laboratory of Genetics and Molecular Cardiology, Heart Institute (Incor), University of S\u00e3o Paulo Medical School, S\u00e3o Paulo, Brazil"
],
"type": "Organization"
},
"familyName": "Alvim",
"givenName": "R.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Sao Paulo",
"id": "https://www.grid.ac/institutes/grid.11899.38",
"name": [
"Laboratory of Genetics and Molecular Cardiology, Heart Institute (Incor), University of S\u00e3o Paulo Medical School, S\u00e3o Paulo, Brazil"
],
"type": "Organization"
},
"familyName": "Horimoto",
"givenName": "A. R. V. R.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Federal University of Sao Paulo",
"id": "https://www.grid.ac/institutes/grid.411249.b",
"name": [
"Departamento de Psicobiologia, Universidade Federal de S\u00e3o Paulo, S\u00e3o Paulo, Brazil"
],
"type": "Organization"
},
"familyName": "Pomp\u00e9ia",
"givenName": "S.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Sao Paulo",
"id": "https://www.grid.ac/institutes/grid.11899.38",
"name": [
"Laboratory of Genetics and Molecular Cardiology, Heart Institute (Incor), University of S\u00e3o Paulo Medical School, S\u00e3o Paulo, Brazil"
],
"type": "Organization"
},
"familyName": "Negr\u00e3o",
"givenName": "A. B.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Surrey",
"id": "https://www.grid.ac/institutes/grid.5475.3",
"name": [
"Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, United Kingdom"
],
"type": "Organization"
},
"familyName": "Evans",
"givenName": "S. L. H.",
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/s10654-010-9476-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002144937",
"https://doi.org/10.1007/s10654-010-9476-y"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10654-010-9476-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002144937",
"https://doi.org/10.1007/s10654-010-9476-y"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-2265.2008.03444.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002628488"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2337/dc06-1190",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002631383"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11065-014-9270-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004390210",
"https://doi.org/10.1007/s11065-014-9270-9"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11065-014-9270-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004390210",
"https://doi.org/10.1007/s11065-014-9270-9"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00125-009-1620-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005372678",
"https://doi.org/10.1007/s00125-009-1620-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00125-009-1620-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005372678",
"https://doi.org/10.1007/s00125-009-1620-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00125-009-1620-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005372678",
"https://doi.org/10.1007/s00125-009-1620-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00125-009-1620-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005372678",
"https://doi.org/10.1007/s00125-009-1620-4"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/01.cir.0000144472.08647.40",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005809481"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neuroimage.2011.11.032",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006447694"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/strokeaha.114.006662",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012182241"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/strokeaha.114.006662",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012182241"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1552-6569.2006.00047.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012271765"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1552-6569.2006.00047.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012271765"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00415-006-0238-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012723118",
"https://doi.org/10.1007/s00415-006-0238-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00415-006-0238-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012723118",
"https://doi.org/10.1007/s00415-006-0238-4"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/dme.12385",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013488869"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jns.2015.08.189",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013779211"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/strokeaha.108.533638",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014300119"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/strokeaha.108.533638",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014300119"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cmet.2008.03.010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014431034"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3174/ajnr.a3590",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016528333"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/dmrr.1144",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020659415"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/dmrr.1144",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020659415"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/acn3.343",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020968766"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s1474-4422(10)70104-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021002852"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2337/dc09-1218",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021442573"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/bmjopen-2016-011598",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021542144"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1148/radiol.2371041496",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022056081"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3389/fnhum.2012.00056",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024403894"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/bmj.c3666",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028546012"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1159/000091536",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030992915"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1159/000091536",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030992915"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2337/dc13-1160",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031577712"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2337/dc13-1160",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031577712"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/hyp.0000000000000053",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032873198"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/hyp.0000000000000053",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032873198"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/ageing/afs033",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038676346"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.nicl.2016.11.020",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039925901"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00415-016-8292-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041004825",
"https://doi.org/10.1007/s00415-016-8292-z"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00415-016-8292-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041004825",
"https://doi.org/10.1007/s00415-016-8292-z"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrneurol.2015.10",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042868842",
"https://doi.org/10.1038/nrneurol.2015.10"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jalz.2011.11.007",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043251818"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1590/s0004-282x2001000400009",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046747277"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s1474-4422(12)70191-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046758421"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/pcn.12296",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047362775"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1471-2377-12-126",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047884485",
"https://doi.org/10.1186/1471-2377-12-126"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.clnu.2008.07.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048222892"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/hypertensionaha.111.00430",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048567325"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/hypertensionaha.111.00430",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048567325"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1471-2350-9-32",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048974507",
"https://doi.org/10.1186/1471-2350-9-32"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1159/000322057",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049059044"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/hypertensionaha.113.02735",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050649972"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/hypertensionaha.113.02735",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050649972"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/brain/114.2.761",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1059438861"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/01.wnl.0000251302.55202.73",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064348858"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/01.wnl.0000251302.55202.73",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064348858"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/01.wnl.0000251302.55202.73",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064348858"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/01.wnl.0000251302.55202.73",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064348858"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/01.wnl.0000266562.54684.bf",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064349373"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/01.wnl.0000266562.54684.bf",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064349373"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/01.wnl.0000266562.54684.bf",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064349373"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/01.wnl.0000271381.30143.75",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064349520"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/01.wnl.0000271381.30143.75",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064349520"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/01.wnl.0000271381.30143.75",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064349520"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/wnl.0000000000000505",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064352215"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/wnl.0000000000000505",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064352215"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/wnl.0000000000000505",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064352215"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/wnl.0000000000000505",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064352215"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/wnl.0b013e3182a08f1b",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064357900"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/wnl.0b013e3182a08f1b",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064357900"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/wnl.0b013e3182a08f1b",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064357900"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/wnl.0b013e3182a08f1b",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064357900"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/wnl.0b013e3182a43e45",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064357955"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/wnl.0b013e3182a43e45",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064357955"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/wnl.0b013e3182a43e45",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064357955"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/wnl.0b013e3182a43e45",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064357955"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/wnl.56.7.921",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064379592"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/wnl.56.7.921",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064379592"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/wnl.56.7.921",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1064379592"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2337/dc15-2331",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070730152"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2337/dc15-2331",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070730152"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/circ.106.25.3143",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1075204771"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neuroimage.2017.03.024",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084098801"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neuroimage.2017.03.024",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084098801"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ncomms15259",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085138766",
"https://doi.org/10.1038/ncomms15259"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2337/dc17-1185",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1091812839"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2337/dc17-1185",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1091812839"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ijo.2017.231",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1092131663",
"https://doi.org/10.1038/ijo.2017.231"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ijo.2017.231",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1092131663",
"https://doi.org/10.1038/ijo.2017.231"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neurobiolaging.2017.12.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1099676524"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neurobiolaging.2017.12.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1099676524"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neurobiolaging.2017.12.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1099676524"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/wnl.0000000000004983",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1100668077"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/wnl.0000000000004983",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1100668077"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1212/wnl.0000000000004983",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1100668077"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pone.0194990",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101766619"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-12",
"datePublishedReg": "2019-12-01",
"description": "Cardiometabolic risk factors influence white matter hyperintensity (WMH) development: in metabolic syndrome (MetS), higher WMH load is often reported but the relationships between specific cardiometabolic variables, WMH load and cognitive performance are uncertain. We investigated these in a Brazilian sample (aged 50-85) with (N\u2009=\u200961) and without (N\u2009=\u2009103) MetS. Stepwise regression models identified effects of cardiometabolic and demographic variables on WMH load (from FLAIR MRI) and verbal recall performance. WMH volume was greater in MetS, but verbal recall performance was not impaired. Age showed the strongest relationship with WMH load. Across all participants, systolic blood pressure (SBP) and fasting blood glucose were also contributors, and WMH volume was negatively associated with verbal recall performance. In non-MetS, higher HbA1c, SBP, and number of MetS components were linked to poorer recall performance while higher triglyceride levels appeared to be protective. In MetS only, these relationships were absent but education exerted a strongly protective effect on recall performance. Thus, results support MetS as a construct: the clustering of cardiometabolic variables in MetS alters their individual relationships with cognition; instead, MetS is characterised by a greater reliance on cognitive reserve mechanisms. In non-MetS, strategies to control HbA1c and SBP should be prioritised as these have the largest impact on cognition.",
"genre": "research_article",
"id": "sg:pub.10.1038/s41598-019-40630-6",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isFundedItemOf": [
{
"id": "sg:grant.4476781",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1045337",
"issn": [
"2045-2322"
],
"name": "Scientific Reports",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "9"
}
],
"name": "Metabolic syndrome alters relationships between cardiometabolic variables, cognition and white matter hyperintensity load",
"pagination": "4356",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"cc8cd4f39ec04a89f032946551c9dd54992d5ea7a5653ffdc23f2b63fe3b4997"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30867458"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"101563288"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/s41598-019-40630-6"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1112734671"
]
}
],
"sameAs": [
"https://doi.org/10.1038/s41598-019-40630-6",
"https://app.dimensions.ai/details/publication/pub.1112734671"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T13:21",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000368_0000000368/records_78972_00000001.jsonl",
"type": "ScholarlyArticle",
"url": "https://www.nature.com/articles/s41598-019-40630-6"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40630-6'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40630-6'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40630-6'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40630-6'
This table displays all metadata directly associated to this object as RDF triples.
324 TRIPLES
21 PREDICATES
86 URIs
21 LITERALS
9 BLANK NODES