{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T22:21:56Z","timestamp":1773008516782,"version":"3.50.1"},"reference-count":45,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T00:00:00Z","timestamp":1760486400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T00:00:00Z","timestamp":1760486400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Intl J Eating Disorders"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Restoring weight is a primary goal during anorexia nervosa (AN) treatment. Previous studies linked different weight gain profiles to treatment outcomes, but there is currently no consensus on profile shapes and numbers. We argue that heterogeneity stems from temporal distortions (\u201cwarping\u201d) in weight gain, and that similar weight improvements can stretch over different time periods. We thus favor a novel non\u2010parametric solution that accounts for warping to identify weight trajectories.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>\n                      Time series clustering with dynamic time warping (DTW) was used to identify weight change trajectories among\n                      <jats:italic>N<\/jats:italic>\n                      \u2009=\u2009518 patients with AN during inpatient treatment. Within\u2010person body\u2010mass\u2010index gain (\u2206 BMI) served as our primary dependent variable to identify clusters. We characterized clusters based on admission psychopathology scores, and analyzed associations of cluster affiliation with changes in clinical outcomes between admission and discharge using linear and logistic models.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We identified four distinct clusters, with\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200976 patients showing initial weight gain (Cluster 1),\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009329 showing continuous weight gain (Cluster 2),\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200970 showing initial weight loss and recovery (Cluster 3), and\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200943 showing weight loss (Cluster 4). The four clusters differed in terms of admission BMI, psychopathology scores, and days spent in treatment, and cluster assignment predicted treatment outcomes.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Using one of the largest hitherto examined samples for weight gain profile analysis, the novel DTW\u2010based approach provided an overall more elaborated set of outcome\u2010predictive profiles compared to previous studies, which could help inform individualized treatment strategies and allocate therapeutic resources efficiently.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/eat.24573","type":"journal-article","created":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T19:21:55Z","timestamp":1760556115000},"page":"169-178","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Weight Trajectories During Inpatient Treatment for Anorexia Nervosa: A Dynamic Time Warp Analysis"],"prefix":"10.1002","volume":"59","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9789-575X","authenticated-orcid":false,"given":"Marianne","family":"Tokic","sequence":"first","affiliation":[{"name":"Department of Medical Informatics, Biometrics and Epidemiology Ruhr\u2010University Bochum  Bochum Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9529-2215","authenticated-orcid":false,"given":"Georg","family":"Halbeisen","sequence":"additional","affiliation":[{"name":"University Clinic for Psychosomatic Medicine and Psychotherapy, Medical Faculty, Campus East\u2010Westphalia Ruhr\u2010University Bochum  Luebbecke Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6072-3468","authenticated-orcid":false,"given":"Karsten","family":"Braks","sequence":"additional","affiliation":[{"name":"Centre for Eating Disorders Klinik Am Korso  Bad Oeynhausen Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas J.","family":"Huber","sequence":"additional","affiliation":[{"name":"Centre for Eating Disorders Klinik Am Korso  Bad Oeynhausen Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5175-4326","authenticated-orcid":false,"given":"Nina","family":"Timmesfeld","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, Biometrics and Epidemiology Ruhr\u2010University Bochum  Bochum Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2069-0024","authenticated-orcid":false,"given":"Georgios","family":"Paslakis","sequence":"additional","affiliation":[{"name":"University Clinic for Psychosomatic Medicine and Psychotherapy, Medical Faculty, Campus East\u2010Westphalia Ruhr\u2010University Bochum  Luebbecke Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,10,15]]},"reference":[{"key":"e_1_2_13_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/J.IS.2015.04.007"},{"key":"e_1_2_13_3_1","doi-asserted-by":"crossref","unstructured":"American Psychiatric Association.2013.\u201cDiagnostic and Statistical Manual of Mental Disorders.\u201dAmerican Psychiatric 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