{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T13:57:42Z","timestamp":1781704662328,"version":"3.54.5"},"reference-count":58,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["JRSM Cardiovascular Disease"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>The study aimed to investigate which anthropometric indicator are most associated with cardiovascular risk (CVR) in low-income women with short stature and to determine the cut-off point that best determined CVR.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This cross-sectional study was conducted with meticulous attention to detail. We evaluated a comprehensive range of sociodemographic and anthropometric data, including body mass index (BMI), waist circumference, waist-to-hip ratio, waist-to-height ratio, and body adiposity index. Additionally, dietary and biochemical data such as glucose and lipid profile, ultrasensitive C-reactive protein (CRP), and blood pressure were assessed in 83 women. Body composition was measured using dual-energy X-ray absorptiometry.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Approximately 85% had excess total body fat, 70% had low levels of high-density lipoprotein and increased levels of ultrasensitive CRP, 29.3% were hypercholesterolemic, and 13.4% were hypertensive. Multivariate logistic regression analyses indicated that BMI was the most associated factor of CVR (ultrasensitive CRP) (OR: 1.31, 95% CI: 1.10\u20131.56). The area under the receiver operating characteristic curve was 0.64 for cholesterol (95% CI 0.517\u20130.766; p\u2009=\u20090.04) and 0.72 for ultrasensitive CRP (95% CI 0.601\u20130.840; p\u2009=\u20090.002). BMI cut-off points with the best balance of sensitivity and specificity were 24.0\u2005kg\/m\n                      <jats:sup>2<\/jats:sup>\n                      for identifying hypercholesterolemia and 23.8\u2005kg\/m\n                      <jats:sup>2<\/jats:sup>\n                      for identifying elevated high-sensitivity CRP levels.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>BMI was the most associated factor of CVR in low-income women with short stature. The results indicate that more sensitive BMI cut-off points should be considered to detect CVR in this population group.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/20480040261461825","type":"journal-article","created":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T13:23:07Z","timestamp":1781702587000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Associations between anthropometric measures and cardiovascular risk biomarkers in women with short stature"],"prefix":"10.1177","volume":"15","author":[{"given":"Revilane Parente De Alencar","family":"Britto","sequence":"first","affiliation":[{"name":"Nutritional Recovery and Education Center, Macei\u00f3, AL, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1003-9836","authenticated-orcid":false,"given":"Luiz Gonzaga Ribeiro","family":"Silva-Neto","sequence":"additional","affiliation":[{"name":"Paulista School of Medicine\u2014Federal University of S\u00e3o Paulo (EPM-UNIFESP)"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Telma Maria De Menezes Toledo","family":"Flor\u00eancio","sequence":"additional","affiliation":[{"name":"Federal University of Alagoas (UFAL)"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nassib Bezerra","family":"Bueno","sequence":"additional","affiliation":[{"name":"Federal University of Alagoas (UFAL)"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ana Paula Grotti","family":"Clemente","sequence":"additional","affiliation":[{"name":"Federal University of Alagoas (UFAL)"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lucas Almeida Das","family":"Chagas","sequence":"additional","affiliation":[{"name":"Paulista School of Medicine \u2013 Federal University of S\u00e3o Paulo (EPM-UNIFESP)"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gustavo Yano","family":"Callado","sequence":"additional","affiliation":[{"name":"Albert Einstein Israelite Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6145-2532","authenticated-orcid":false,"given":"Edward","family":"Araujo J\u00fanior","sequence":"additional","affiliation":[{"name":"Paulista School of Medicine \u2013 Federal University of S\u00e3o Paulo (EPM-UNIFESP)"},{"name":"Discipline of Women Health, Municipal University of S\u00e3o Caetano do Sul (USCS), S\u00e3o Caetano do Sul, SP, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ana Lydia","family":"Sawaya","sequence":"additional","affiliation":[{"name":"Paulista School of Medicine\u2014Federal University of S\u00e3o Paulo (EPM-UNIFESP)"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,6,17]]},"reference":[{"key":"e_1_3_3_2_2","volume-title":"Global nutrition targets 2025: stunting policy brief","author":"World Health Organization","year":"2014","unstructured":"World Health Organization. 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