{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T10:43:15Z","timestamp":1789468995026,"version":"build-2803163510"},"reference-count":58,"publisher":"Wiley","issue":"17","license":[{"start":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T00:00:00Z","timestamp":1788480000000},"content-version":"vor","delay-in-days":3,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["physoc.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Physiological Reports"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Acute mountain sickness (AMS) compromises health and work efficiency after rapid ascent. This study aimed to explore a low\u2010altitude\u2010data\u2010based method for classifying AMS\u2010susceptible young adults. Forty\u2010four low\u2010altitude residents (18\u201331\u2009years) completed a step test at 50\u2009m. Measurements included maximal oxygen uptake (V\u0307O\n                    <jats:sub>2<\/jats:sub>\n                    max), peripheral oxygen saturation at rest (re_SpO\n                    <jats:sub>2<\/jats:sub>\n                    ), exercise (ex_SpO\n                    <jats:sub>2<\/jats:sub>\n                    ), and recovery (rec_SpO\n                    <jats:sub>2<\/jats:sub>\n                    ), heart rate at rest (re_HR), exercise (ex_HR), and recovery (rec_HR), and step index. Participants ascended to 3650\u2009m within 6\u2009h, and AMS was assessed using the 2018 Lake Louise Score (LLS). Associations with LLS were examined before k\u2010means clustering. Neither re_SpO\n                    <jats:sub>2<\/jats:sub>\n                    nor re_HR was significantly correlated with LLS, whereas non\u2010resting\u2010state variables (V\u0307O\n                    <jats:sub>2<\/jats:sub>\n                    max, ex_SpO\n                    <jats:sub>2<\/jats:sub>\n                    , rec_SpO\n                    <jats:sub>2<\/jats:sub>\n                    , ex_HR, rec_HR, and step index) were. Clustering using V\u0307O\n                    <jats:sub>2<\/jats:sub>\n                    max, ex_SpO\n                    <jats:sub>2<\/jats:sub>\n                    , rec_SpO\n                    <jats:sub>2<\/jats:sub>\n                    , and step index showed strong structure (silhouette coefficient\u2009=\u20090.767) and 93.18% agreement with LLS. Step index and ex_SpO\n                    <jats:sub>2<\/jats:sub>\n                    showed the greatest between\u2010cluster separation, followed by rec_SpO\n                    <jats:sub>2<\/jats:sub>\n                    and V\u0307O\n                    <jats:sub>2<\/jats:sub>\n                    max. Exercise\u2010 and recovery\u2010phase variables from a low\u2010altitude step test may classify AMS susceptibility in young adults via unsupervised learning. Evaluated after rapid ascent to 3650\u2009m, this noninvasive, low\u2010cost, and practical approach shows potential for pre\u2010ascent AMS susceptibility screening in healthy young adults.\n                  <\/jats:p>","DOI":"10.14814\/phy2.71091","type":"journal-article","created":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T09:03:26Z","timestamp":1788512606000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Clustering analysis of acute mountain sickness susceptibility among young adults during rapid ascent using low\u2010altitude step test data"],"prefix":"10.14814","volume":"14","author":[{"given":"Shanshan","family":"Wei","sequence":"first","affiliation":[{"name":"State Key Laboratory of Tribology in Advanced Equipment, Department of Mechanical Engineering Tsinghua University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linhong","family":"Ji","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Tribology in Advanced Equipment, Department of Mechanical Engineering Tsinghua University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaiqi","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Tribology in Advanced Equipment, Department of Mechanical Engineering Tsinghua University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3535-3220","authenticated-orcid":false,"given":"Yijia","family":"Lu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Tribology in Advanced Equipment, Department of Mechanical Engineering Tsinghua University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,9,4]]},"reference":[{"key":"e_1_2_12_2_1","unstructured":"Arthur D. 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