{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T00:36:50Z","timestamp":1791247010310,"version":"4.1.0"},"reference-count":21,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T00:00:00Z","timestamp":1731456000000},"content-version":"vor","delay-in-days":12,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Scandinavian Med Sci Sports"],"published-print":{"date-parts":[[2024,11]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    The U.S. National Health and Nutrition Examination Survey (NHANES) physical activity monitor datasets for 2011\u201312 and 2013\u201314 were released in late 2020. To date, there has been limited interpretation of these nationally representative wrist\u2010worn accelerometer data (summarized and reported in Monitor Independent Movement Summary [MIMS] units) and their relationships with health\u2010related outcomes. This study examined the associations between free\u2010living Daily\n                    <jats:sub>MIMS<\/jats:sub>\n                    (volume), Peak 1\n                    <jats:sub>MIMS<\/jats:sub>\n                    and Peak 30\n                    <jats:sub>MIMS<\/jats:sub>\n                    (intensity), and risk of Metabolic Syndrome (MetS). Data from adults (\n                    <jats:italic>N<\/jats:italic>\n                    =3787; 18\u201380+\u2009years) in the 2011\u201312 and 2013\u201314 NHANES cycles with health examination and accelerometry data were included. Accelerometer data were processed into Peak 1\n                    <jats:sub>MIMS<\/jats:sub>\n                    and Peak 30\n                    <jats:sub>MIMS<\/jats:sub>\n                    (MIMS\/min), and Daily\n                    <jats:sub>MIMS<\/jats:sub>\n                    (MIMS\/day). Design\u2010based generalized linear and logistic regressions, and a sample\u2010weighted decision tree, were used to examine associations between MIMS variables and MetS risk factors. Lower Peak 1\n                    <jats:sub>MIMS<\/jats:sub>\n                    , Peak 30\n                    <jats:sub>MIMS,<\/jats:sub>\n                    and Daily\n                    <jats:sub>MIMS<\/jats:sub>\n                    were observed for every one\u2010unit increase in the number of risk factors \u22123.9 [95% CI: \u22124.3, \u22123.4] and \u22122.3 [\u22122.6, \u22122.1] MIMS\/min, (\u2212672.1 [\u2212772.7, \u2212571.5] MIMS\/day, respectively, all\n                    <jats:italic>p<\/jats:italic>\n                    &lt;\u20090.001). The Decision Tree classified individuals \u2265\u200946.5\u2009years with a Daily\n                    <jats:sub>MIMS<\/jats:sub>\n                    \u2265\u200912\u2009245 MIMS\/day and a Peak 30\n                    <jats:sub>MIMS<\/jats:sub>\n                    &lt;\u200945.1 MIMS\/min as having MetS (\u2265\u20093 risk factors). Individuals &lt;\u200946.5\u2009years with a Peak 1\n                    <jats:sub>MIMS<\/jats:sub>\n                    \u2009\u2265\u200962.9 MIMS\/min were classified with 0 risk factors. Higher Daily\n                    <jats:sub>MIMS<\/jats:sub>\n                    and Peak\n                    <jats:sub>MIMS<\/jats:sub>\n                    were associated with an absence of MetS risk factors, with a progressive decline as the number of risk factors increased. These findings may be considered as preliminary benchmarks for Daily\n                    <jats:sub>MIMS<\/jats:sub>\n                    and Peak\n                    <jats:sub>MIMS<\/jats:sub>\n                    associated with cardiometabolic risk.\n                  <\/jats:p>","DOI":"10.1111\/sms.14762","type":"journal-article","created":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T07:36:24Z","timestamp":1731483384000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Daily and Peak Monitor Independent Movement Summary (\n                    <scp>MIMS<\/scp>\n                    ) Values Associated With Metabolic Syndrome:\n                    <scp>NHANES<\/scp>\n                    2011\u201312 and 2013\u201314"],"prefix":"10.1111","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4763-0491","authenticated-orcid":false,"given":"Elroy J.","family":"Aguiar","sequence":"first","affiliation":[{"name":"Department of Kinesiology The University of Alabama  Tuscaloosa Alabama USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2998-8799","authenticated-orcid":false,"given":"Dusty T.","family":"Turner","sequence":"additional","affiliation":[{"name":"Department of Statistical Science Baylor University  Waco Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James D.","family":"Pleuss","sequence":"additional","affiliation":[{"name":"Department of Computer Science Stevens Institute of Technology  Hoboken New Jersey USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0781-4459","authenticated-orcid":false,"given":"Peixuan","family":"Zheng","sequence":"additional","affiliation":[{"name":"Department of Kinesiology and Nutrition University of Illinois Chicago  Chicago Illinois USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2564-5942","authenticated-orcid":false,"given":"Cristal J.","family":"Benitez","sequence":"additional","affiliation":[{"name":"Department of Kinesiology The University of Alabama  Tuscaloosa Alabama USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6810-1391","authenticated-orcid":false,"given":"Scott W.","family":"Ducharme","sequence":"additional","affiliation":[{"name":"Department of Kinesiology California State University Long Beach  Long Beach California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,11,13]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1123\/jmpb.2018-0068"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1249\/MSS.0000000000002726"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/gerona\/glac076"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1186\/1479-5868-8-79"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.2196\/38077"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1136\/bjsports-2017-097628"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1123\/kr.2018-0065"},{"key":"e_1_2_10_9_1","unstructured":"National Center for Health Statistics \u201cNational Health and Nutrition Examination Survey 2011\u20132012 Data Documentation Codebook and Frequencies Physical Activity Monitor\u2014Minute (PAXMIN_H) \u201d(2024) Centers for Disease Control and Prevention https:\/\/wwwn.cdc.gov\/Nchs\/Nhanes\/2013\u20102014\/PAXMIN_H.htm#PAXFLGSM."},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.109.192644"},{"key":"e_1_2_10_11_1","unstructured":"T.Lumley \u201cSurvey: Analysis of Complex Survey Samples \u201dR Package Version 4.0 ed2020."},{"key":"e_1_2_10_12_1","volume-title":"R: A Language and Environment for Statistical Computing","author":"R Core Team. 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