Ontology type: schema:ScholarlyArticle Open Access: True
2014-12
AUTHORSShia T Kent, Mary Cushman, George Howard, Suzanne E Judd, William L Crosson, Mohammad Z Al-Hamdan, Leslie A McClure
ABSTRACTBACKGROUND: Previous research has suggested that vitamin D and sunlight are related to cardiovascular outcomes, but associations between sunlight and risk factors have not been investigated. We examined whether increased sunlight exposure was related to improved cardiovascular risk factor status. METHODS: Residential histories merged with satellite, ground monitor, and model reanalysis data were used to determine previous-year sunlight radiation exposure for 17,773 black and white participants aged 45+ from the US. Exploratory and confirmatory analyses were performed by randomly dividing the sample into halves. Logistic regression models were used to examine relationships with cardiovascular risk factors. RESULTS: The lowest, compared to the highest quartile of insolation exposure was associated with lower high-density lipoprotein levels in adjusted exploratory (-2.7 mg/dL [95% confidence interval: -4.2, -1.2]) and confirmatory (-1.5 mg/dL [95% confidence interval: -3.0, -0.1]) models. The lowest, compared to the highest quartile of insolation exposure was associated with higher systolic blood pressure levels in unadjusted exploratory and confirmatory, as well as the adjusted exploratory model (2.3 mmHg [95% confidence interval: 0.8, 3.8]), but not the adjusted confirmatory model (1.6 mg/dL [95% confidence interval: -0.5, 3.7]). CONCLUSIONS: The results of this study suggest that lower long-term sunlight exposure has an association with lower high-density lipoprotein levels. However, all associations were weak, thus it is not known if insolation may affect cardiovascular outcomes through these risk factors. More... »
PAGES133
http://scigraph.springernature.com/pub.10.1186/1471-2377-14-133
DOIhttp://dx.doi.org/10.1186/1471-2377-14-133
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1006880532
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/24946776
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/2008/1117",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Public Health and Health Services",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Aged",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Blood Pressure",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "C-Reactive Protein",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Cardiovascular Diseases",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Cholesterol",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Cross-Sectional Studies",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Female",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Kidney Diseases",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Lipoproteins, HDL",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Lipoproteins, LDL",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Logistic Models",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Male",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Middle Aged",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Nutritional Status",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Risk Factors",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Sunlight",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Vitamin D",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "University of Alabama at Birmingham",
"id": "https://www.grid.ac/institutes/grid.265892.2",
"name": [
"Department of Epidemiology, 1665 University Blvd, University of Alabama at Birmingham, 35294, Birmingham, Alabama"
],
"type": "Organization"
},
"familyName": "Kent",
"givenName": "Shia T",
"id": "sg:person.01102516770.91",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01102516770.91"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Department of Medicine, University of Vermont College of Medicine, VT 05405, Burlington, Canada"
],
"type": "Organization"
},
"familyName": "Cushman",
"givenName": "Mary",
"id": "sg:person.01030006153.53",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030006153.53"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Alabama at Birmingham",
"id": "https://www.grid.ac/institutes/grid.265892.2",
"name": [
"Department of Biostatistics, 1665 University Blvd, University of Alabama at Birmingham, 35294, Birmingham, Alabama"
],
"type": "Organization"
},
"familyName": "Howard",
"givenName": "George",
"id": "sg:person.01260463153.32",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01260463153.32"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Alabama at Birmingham",
"id": "https://www.grid.ac/institutes/grid.265892.2",
"name": [
"Department of Biostatistics, 1665 University Blvd, University of Alabama at Birmingham, 35294, Birmingham, Alabama"
],
"type": "Organization"
},
"familyName": "Judd",
"givenName": "Suzanne E",
"id": "sg:person.0677261406.73",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677261406.73"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "National Space Science and Technology Center",
"id": "https://www.grid.ac/institutes/grid.462618.f",
"name": [
"National Space Science and Technology Center, NASA Marshall Space Flight Center, 320 Sparkman Drive, 35805, Huntsville, Alabama"
],
"type": "Organization"
},
"familyName": "Crosson",
"givenName": "William L",
"id": "sg:person.01255100676.05",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255100676.05"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "National Space Science and Technology Center",
"id": "https://www.grid.ac/institutes/grid.462618.f",
"name": [
"National Space Science and Technology Center, NASA Marshall Space Flight Center, 320 Sparkman Drive, 35805, Huntsville, Alabama"
],
"type": "Organization"
},
"familyName": "Al-Hamdan",
"givenName": "Mohammad Z",
"id": "sg:person.01152605302.48",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152605302.48"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Alabama at Birmingham",
"id": "https://www.grid.ac/institutes/grid.265892.2",
"name": [
"Department of Biostatistics, 1665 University Blvd, University of Alabama at Birmingham, 35294, Birmingham, Alabama"
],
"type": "Organization"
},
"familyName": "McClure",
"givenName": "Leslie A",
"id": "sg:person.0645444353.16",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645444353.16"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1097/maj.0b013e3181aaee91",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000843181"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/maj.0b013e3181aaee91",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000843181"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1136/bjo.2008.141747",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005629250"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1476-069x-8-34",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005801207",
"https://doi.org/10.1186/1476-069x-8-34"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/10106049.2012.715209",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007451719"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/ana.23737",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009092427"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00484-013-0631-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011005517",
"https://doi.org/10.1007/s00484-013-0631-5"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/01.str.18.1.38",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011216887"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/03014469600004692",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014200105"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1053/j.jrn.2010.10.007",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015437301"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.pbiomolbio.2006.02.004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017116177"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ahj.2010.12.007",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017215438"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2215/cjn.03940510",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018102657"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pone.0050510",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018508116"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1476-069x-10-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019384299",
"https://doi.org/10.1186/1476-069x-10-7"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.amjcard.2008.12.034",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022276028"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/eurheartj/ehq069",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022301169"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/eurheartj/ehq069",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022301169"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1159/000086678",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023500738"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1159/000086678",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023500738"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1472-6823-13-33",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023544403",
"https://doi.org/10.1186/1472-6823-13-33"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2337/dc11-0775",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024401829"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1056/nejmcp1009570",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024427367"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1464-5491.2012.03692.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027929849"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.abb.2006.12.017",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028490770"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00484-011-0491-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032125908",
"https://doi.org/10.1007/s00484-011-0491-9"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1289/ehp.9074",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035360137"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/strokeaha.107.513655",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035791498"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/strokeaha.107.513655",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035791498"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/01.str.0000067703.71251.b6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036118056"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/01.str.0000067703.71251.b6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036118056"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0140-6736(05)60827-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037900693"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1158/1940-6207.capr-11-0105",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042853509"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1440-1797.2011.01450.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043002654"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/eurheartj/eht166",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043682137"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2002jd003118",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045162488"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1161/circulationaha.107.706127",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048113712"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.4161/derm.27497",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048215961"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1476-7961-5-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048502526",
"https://doi.org/10.1186/1476-7961-5-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10654-008-9274-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050074479",
"https://doi.org/10.1007/s10654-008-9274-y"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1001/archinternmed.2008.512",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051268130"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1055/s-0028-1128131",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1057143286"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1089/jwh.2011.2734",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1059291798"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.7326/0003-4819-150-9-200905050-00006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1073710774"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1078035610",
"type": "CreativeWork"
}
],
"datePublished": "2014-12",
"datePublishedReg": "2014-12-01",
"description": "BACKGROUND: Previous research has suggested that vitamin D and sunlight are related to cardiovascular outcomes, but associations between sunlight and risk factors have not been investigated. We examined whether increased sunlight exposure was related to improved cardiovascular risk factor status.\nMETHODS: Residential histories merged with satellite, ground monitor, and model reanalysis data were used to determine previous-year sunlight radiation exposure for 17,773 black and white participants aged 45+ from the US. Exploratory and confirmatory analyses were performed by randomly dividing the sample into halves. Logistic regression models were used to examine relationships with cardiovascular risk factors.\nRESULTS: The lowest, compared to the highest quartile of insolation exposure was associated with lower high-density lipoprotein levels in adjusted exploratory (-2.7\u00a0mg/dL [95% confidence interval: -4.2, -1.2]) and confirmatory (-1.5\u00a0mg/dL [95% confidence interval: -3.0, -0.1]) models. The lowest, compared to the highest quartile of insolation exposure was associated with higher systolic blood pressure levels in unadjusted exploratory and confirmatory, as well as the adjusted exploratory model (2.3\u00a0mmHg [95% confidence interval: 0.8, 3.8]), but not the adjusted confirmatory model (1.6\u00a0mg/dL [95% confidence interval: -0.5, 3.7]).\nCONCLUSIONS: The results of this study suggest that lower long-term sunlight exposure has an association with lower high-density lipoprotein levels. However, all associations were weak, thus it is not known if insolation may affect cardiovascular outcomes through these risk factors.",
"genre": "research_article",
"id": "sg:pub.10.1186/1471-2377-14-133",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isFundedItemOf": [
{
"id": "sg:grant.3835448",
"type": "MonetaryGrant"
},
{
"id": "sg:grant.2692575",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1024950",
"issn": [
"1471-2377"
],
"name": "BMC Neurology",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "14"
}
],
"name": "Sunlight exposure and cardiovascular risk factors in the REGARDS study: a cross-sectional split-sample analysis",
"pagination": "133",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"20c65c5411ada46b26ef41f0a6510f8929460e2e408e83b1066d1bf1926ba9bb"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"24946776"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"100968555"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/1471-2377-14-133"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1006880532"
]
}
],
"sameAs": [
"https://doi.org/10.1186/1471-2377-14-133",
"https://app.dimensions.ai/details/publication/pub.1006880532"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T19:56",
"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/v90/0000000001_0000000264/records_8681_00000510.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1186%2F1471-2377-14-133"
}
]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.10.1186/1471-2377-14-133'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2377-14-133'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2377-14-133'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2377-14-133'
This table displays all metadata directly associated to this object as RDF triples.
318 TRIPLES
21 PREDICATES
87 URIs
39 LITERALS
27 BLANK NODES