{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T02:59:27Z","timestamp":1790477967663,"version":"4.1.0"},"reference-count":30,"publisher":"Human Kinetics","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,1]]},"abstract":"<jats:p><jats:italic><jats:bold>Background<\/jats:bold>:<\/jats:italic> The most recent physical activity (PA) monitor data from the US National Health and Nutrition Examination Survey (NHANES) were processed using a novel monitor-independent movement summary (MIMS) algorithm. To date, few studies have utilized these data, likely due to a general unfamiliarity with MIMS-related metrics. The purpose of this study was to establish normative values for peak MIMS metrics as measures of free-living PA intensity and natural ambulatory effort. <jats:italic><jats:bold>Methods<\/jats:bold>:<\/jats:italic> Data from the National Health and Nutrition Examination Survey 2011\u20132012 and 2013\u20132014 survey cycles were used, including 8729 individuals aged 20\u201380+ years. MIMS data were obtained from wrist-worn accelerometers worn for at least 1 valid day (&lt;5% nonwear time per day). Peak-1<jats:sub>MIMS<\/jats:sub> (ie,\u00a0the highest 1-min MIMS value within a day) and Peak-30<jats:sub>MIMS<\/jats:sub> (ie,\u00a0the average of the 30 highest 1-min MIMS values) were obtained, averaged across all valid days, and reported as sample-weighted means (95% confidence intervals), and across 5th to 95th percentiles. <jats:italic><jats:bold>Results<\/jats:bold>:<\/jats:italic> Mean (95% confidence interval) values for Peak-1<jats:sub>MIMS<\/jats:sub> and Peak-30<jats:sub>MIMS<\/jats:sub> were 59.9 (59.2\u201361.6) and 42.9 (42.4\u201343.3) MIMS\/minute, respectively. Both peak metrics declined across the adult lifespan. Men displayed greater Peak-1<jats:sub>MIMS<\/jats:sub>, while Peak-30<jats:sub>MIMS<\/jats:sub> was similar between sexes. Both MIMS metrics trended lower with increasing body mass index. <jats:italic><jats:bold>Conclusion<\/jats:bold>:<\/jats:italic> We provide normative values for peak MIMS metrics which reflect PA intensity\/effort. We also developed an R-Shiny App whereby users can input age, sex, body mass index category, and MIMS metrics to determine individual-specific MIMS percentile values. Given the universal nature of the MIMS algorithm, these population representative data may be useful as a reference data set for device-based PA surveillance within the United States and for comparison globally.<\/jats:p>","DOI":"10.1123\/jpah.2025-0182","type":"journal-article","created":{"date-parts":[[2025,8,13]],"date-time":"2025-08-13T19:31:11Z","timestamp":1755113471000},"page":"1297-1306","source":"Crossref","is-referenced-by-count":2,"title":["Normative Peak Physical Activity Values for Monitor-Independent Movement Summary Units: National Health and Nutrition Examination Survey 2011\u20132014"],"prefix":"10.1123","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6810-1391","authenticated-orcid":true,"given":"Scott W.","family":"Ducharme","sequence":"first","affiliation":[{"name":"Department of Kinesiology, California State University, Long Beach, Long Beach, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6650-5246","authenticated-orcid":true,"given":"James D.","family":"Pleuss","sequence":"additional","affiliation":[{"name":"Department of Mathematical Sciences, United States Military Academy, West Point, NY, USA"},{"name":"Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2998-8799","authenticated-orcid":true,"given":"Dusty S.","family":"Turner","sequence":"additional","affiliation":[{"name":"Department of Mathematical Sciences, United States Military Academy, West Point, NY, USA"},{"name":"Department of Statistical Science, Baylor University, Waco, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peixuan","family":"Zheng","sequence":"additional","affiliation":[{"name":"Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5232-4299","authenticated-orcid":true,"given":"Israel I.","family":"Adandom","sequence":"additional","affiliation":[{"name":"Department of Kinesiology, The University of Alabama, Tuscaloosa, AL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4763-0491","authenticated-orcid":true,"given":"Elroy J.","family":"Aguiar","sequence":"additional","affiliation":[{"name":"Department of Kinesiology, The University of Alabama, Tuscaloosa, AL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"100","reference":[{"issue":"1","key":"r1","series-title":"Med Sci Sport Exerc","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1249\/mss.0b013e31815a51b3","article-title":"Physical activity in the United States measured by accelerometer","volume":"40","author":"Troiano RP","year":"2008","unstructured":"Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. 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