{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T11:36:30Z","timestamp":1777376190175,"version":"3.51.4"},"reference-count":10,"publisher":"SAGE Publications","issue":"7","license":[{"start":{"date-parts":[[2024,4,6]],"date-time":"2024-04-06T00:00:00Z","timestamp":1712361600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100006615","name":"Mecklenburg County Government","doi-asserted-by":"publisher","award":["IPF 2023-1070"],"award-info":[{"award-number":["IPF 2023-1070"]}],"id":[{"id":"10.13039\/100006615","id-type":"DOI","asserted-by":"publisher"}]},{"name":"The Sharon at Southpark","award":["IPF2023-1040"],"award-info":[{"award-number":["IPF2023-1040"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Am J Health Promot"],"published-print":{"date-parts":[[2024,9]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>This study evaluated the impact of obesity on cardiometabolic risk factors (CRF) interrelationships and predictive efficiency of CVD development in older African (AA) and European Americans (EA).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>A comparative research design evaluated CRF risk profile differences between participant groups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting<\/jats:title>\n                    <jats:p>Seven neighborhoods in a southern US city.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Subjects<\/jats:title>\n                    <jats:p>A sample of 179 older AA (n = 128) and EA (n = 51) adults.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Measures<\/jats:title>\n                    <jats:p>Non-fasting blood samples were evaluated for lipids and lipoproteins, glycosylated hemoglobin, systolic \u2013(SBP) and diastolic blood pressure (DBP), body mass index (BMI), body fat percentage (BF%) and physical function.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Analysis<\/jats:title>\n                    <jats:p>Data were analysis with descriptive statistics, t-tests, and correlations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>AA were heavier than EA although all had above average age-appropriate fitness. Means and relationships between CRF and other variables were different ( P &lt; .05) based on race. Both AA (41.3 + 5.8) and EA (38.6 + 6.4) BF% were CRF risks. Holding BMI constant, CRF were generally not related, and the relationships were different for AA and EA. AA had a range of 13.0 to 27.2% more favorable values for cholesterol, HDL-C, and triglyceride. EA had favorable A1c (EA 5.8 vs AA 6.2%) values.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>A limitation of this report is the small sample size. Although further research is warranted, these findings suggest population specific CRF selections would improve CVD prediction in AA.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/08901171241246310","type":"journal-article","created":{"date-parts":[[2024,4,6]],"date-time":"2024-04-06T05:40:15Z","timestamp":1712382015000},"page":"1029-1032","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Influence of Obesity on the Relationship of Cardiometabolic Risks Factors With Cardiovascular Disease in Older African and European Americans"],"prefix":"10.1177","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0854-5975","authenticated-orcid":false,"given":"Trudy","family":"Moore-Harrison","sequence":"first","affiliation":[{"name":"Department of Applied Physiology, Health, and Clinical Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kivana","family":"Keane","sequence":"additional","affiliation":[{"name":"Department of Applied Physiology, Health, and Clinical Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L. Jerome","family":"Brandon","sequence":"additional","affiliation":[{"name":"Department of Kinesiology and Health, Georgia State University, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gabrielle","family":"Smith","sequence":"additional","affiliation":[{"name":"Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6102-7483","authenticated-orcid":false,"given":"Candace S.","family":"Brown","sequence":"additional","affiliation":[{"name":"Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2024,4,6]]},"reference":[{"key":"bibr1-08901171241246310","volume-title":"FastStats- Health of Black or African American Population","author":"CDC","year":"2019"},{"key":"bibr2-08901171241246310","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pgen.1000342"},{"key":"bibr3-08901171241246310","doi-asserted-by":"publisher","DOI":"10.1093\/eurheartj\/ehw152"},{"key":"bibr4-08901171241246310","doi-asserted-by":"publisher","DOI":"10.1093\/gerona\/gly026"},{"key":"bibr5-08901171241246310","volume-title":"Physical Activity for Healthy Aging","author":"CDC","year":"2022"},{"key":"bibr6-08901171241246310","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajog.2019.09.051"},{"key":"bibr7-08901171241246310","doi-asserted-by":"publisher","DOI":"10.1016\/j.pathol.2018.09.062"},{"key":"bibr8-08901171241246310","doi-asserted-by":"publisher","DOI":"10.1002\/oby.20307"},{"key":"bibr9-08901171241246310","doi-asserted-by":"publisher","DOI":"10.1111\/dme.13979"},{"key":"bibr10-08901171241246310","doi-asserted-by":"publisher","DOI":"10.1089\/pop.2023.0142"}],"container-title":["American Journal of Health Promotion"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/08901171241246310","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/08901171241246310","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/08901171241246310","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T09:04:13Z","timestamp":1777367053000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/08901171241246310"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,6]]},"references-count":10,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2024,9]]}},"alternative-id":["10.1177\/08901171241246310"],"URL":"https:\/\/doi.org\/10.1177\/08901171241246310","relation":{},"ISSN":["0890-1171","2168-6602"],"issn-type":[{"value":"0890-1171","type":"print"},{"value":"2168-6602","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,6]]}}}