{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:48:26Z","timestamp":1740170906026,"version":"3.37.3"},"reference-count":23,"publisher":"Oxford University Press (OUP)","issue":"5-6","funder":[{"DOI":"10.13039\/100015326","name":"Common Fund","doi-asserted-by":"publisher","award":["AOD22022001"],"award-info":[{"award-number":["AOD22022001"]}],"id":[{"id":"10.13039\/100015326","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100015326","name":"Common Fund","doi-asserted-by":"publisher","award":["AOD22022001"],"award-info":[{"award-number":["AOD22022001"]}],"id":[{"id":"10.13039\/100015326","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,5,18]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background &amp; objectives<\/jats:title>\n                  <jats:p>The U.S. Army fell 25% short of its recruitment goal in 2022 and therefore, increasing the eligibility pool for potential recruits is of interest. Raising the body mass index (BMI) standards for eligibility presents a path to increase the recruitable population; however, there may be additional costs incurred due to attendant health risks that may be present in individuals with higher BMI.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>We filtered the 2017-2020 National Health and Nutrition Examination Survey by age (17-25\u2009years) and BMI (up to 30\u2009kg\/m2). A k-means cluster analysis was performed on the filtered dataset for the variables used to determine metabolic syndrome. Metabolic syndrome Clusters were characterized through summary statistics and compared over clinical measurements and questionnaire responses.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Five distinct clusters were identified and mean BMI in two clusters (Clusters1 and 3) exceeded the current U.S. Army BMI thresholds. Of these two clusters, Cluster 1 members had metabolic syndrome. Cluster 3 members were at higher risk for metabolic syndrome compared to members of Clusters 2, 4, and 5. Mean waist circumference was slightly lower in Cluster 3 compared to Cluster 1. None of the clusters had significant differences in depression scores, poverty index, or frequency of dental visits.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Potential recruits from Cluster 1 have excessive health risk and may incur substantial cost to the U.S. Army if enlisted. However, potential recruits from Cluster 3 appear to add little risk and offer an opportunity to increase the pool for recruiting.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/milmed\/usad450","type":"journal-article","created":{"date-parts":[[2023,11,24]],"date-time":"2023-11-24T10:55:36Z","timestamp":1700823336000},"page":"e1174-e1180","source":"Crossref","is-referenced-by-count":0,"title":["Raising the U.S. Army Height\u2013Weight (Body Mass Index) Standards: Quantifying Metabolic Risk"],"prefix":"10.1093","volume":"189","author":[{"given":"Maria","family":"Smith","sequence":"first","affiliation":[{"name":"Department of Mathematical Sciences, United States Military Academy , West Point, NY 10996,","place":["USA"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alma","family":"Cooper","sequence":"additional","affiliation":[{"name":"Department of Mathematical Sciences, United States Military Academy , West Point, NY 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