{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T00:17:06Z","timestamp":1778890626275,"version":"3.51.4"},"reference-count":27,"publisher":"Walter de Gruyter GmbH","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,4,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec id=\"j_ijamh-2015-0042_s_999_w2aab2b8c14b1b7b1aab1c14b1Aa\">\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Patients with normal weight obesity (NWO) have a normal body mass index (BMI) but elevated body fat percentage (BF%), thereby increasing their risk of cardiovascular and metabolic disorders. The purpose of this research was to determine the prevalence of NWO and its associated factors in a sample of young adults in Trinidad and Tobago (T&amp;T).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_ijamh-2015-0042_s_998_w2aab2b8c14b1b7b1aab1c14b2Aa\">\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>\n                      A cross sectional study involving a convenience non-voluntary sample of participants with a normal BMI of 18.5\u201324.9 kg\/m\n                      <jats:sup>2<\/jats:sup>\n                      was conducted. The following information was collected: history, basic anthropometric measurements, including BF% via the Tanita Ironman Body Composition Analyzer (BC554), physical examination and basic blood investigations. Participants were divided into two groups; normal BF% (&lt;23.1% males, &lt;33.3% females) and elevated BF% (\u226523.1% males, \u226533.3% females).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_ijamh-2015-0042_s_997_w2aab2b8c14b1b7b1aab1c14b3Aa\">\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>Two hundred and thirty-six students participated, F:M (2.1:1), aged 18\u201328 years [Mean 21.33 (SD 2.5)], mean BMI 21.66 (SD 1.9). A response rate of 80.3%. The prevalence of NWO for this population was 19.9% [95% confidence interval (CI) 15.1\u201325.7]. Males 14.4% (95% CI 10.3\u201319.7) and females 5.5% (95% CI 3.1\u20139.5). Variables with a statistically significant association with NWO included gender, waist circumference, waist-to-hip ratio (WHR), systolic blood pressure (BP), the ratio of total cholesterol (TC) to high density lipoprotein and in females, the presence of polycystic ovarian syndrome (PCOS) (p&lt;0.05). Binary logistic regression revealed that predictors of NWO were male gender and waist circumference.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_ijamh-2015-0042_s_996_w2aab2b8c14b1b7b1aab1c14b4Aa\">\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>One in five of this young adult population was found to have NWO. Long-term studies are recommended to study the full implications of these findings.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1515\/ijamh-2015-0042","type":"journal-article","created":{"date-parts":[[2015,11,10]],"date-time":"2015-11-10T12:01:27Z","timestamp":1447156887000},"source":"Crossref","is-referenced-by-count":11,"title":["Normal weight obesity among young adults in Trinidad and Tobago: prevalence and associated factors"],"prefix":"10.1515","volume":"29","author":[{"given":"Cherrita","family":"Ramsaran","sequence":"first","affiliation":[{"name":"Health Services Unit, The University of the West Indies, St. Augustine, Trinidad , West Indies"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rohan G.","family":"Maharaj","sequence":"additional","affiliation":[{"name":"The Unit of Public Health and Primary Care, Faculty of Medical Sciences, The University of the West Indies, St. Augustine, Trinidad , West Indies"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2015,11,10]]},"reference":[{"key":"2025112800263382511_j_ijamh-2015-0042_ref_001_w2aab2b8c14b1b7b1ab2b2b1Aa","unstructured":"Pan American Health Organization\/ Caribbean Community Secretariat (CARICOM). Report of the Caribbean Commission on Health and Development. Kingston, Jamaica: Ian Randle Publishers, 2006. Accessed on April 16, 2015. URL: www.who.int\/macrohealth\/action\/paho_report.pdf."},{"key":"2025112800263382511_j_ijamh-2015-0042_ref_002_w2aab2b8c14b1b7b1ab2b2b2Aa","doi-asserted-by":"crossref","unstructured":"Samuels TA, Fraser H. Caribbean wellness day: mobilizing a region for chronic noncommunicable disease prevention and control. Rev Panam Salud Publica 2010;28:472\u20139.","DOI":"10.1590\/S1020-49892010001200009"},{"key":"2025112800263382511_j_ijamh-2015-0042_ref_003_w2aab2b8c14b1b7b1ab2b2b3Aa","doi-asserted-by":"crossref","unstructured":"Batson Y, Teelucksingh S, Maharaj RG, Cockburn B. A cross-sectional study to determine the prevalence of obesity and other risk factors for Type2 diabetes among school children in Trinidad, West Indies. 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