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. 2022 Mar 9;6(3):e26374. doi: 10.2196/26374

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©Sakris K E Kupila, Mikko S Venäläinen, Laura-Unnukka Suojanen, Milla Rosengård-Bärlund, Aila J Ahola, Laura L Elo, Kirsi H Pietiläinen. Originally published in JMIR Formative Research (https://formative.jmir.org), 09.03.2022.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.

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Clusters of study participants (N=1189) based on weight loss success trajectories. Individual weight loss patterns were clustered based on dynamic time-warping distance and agglomerative hierarchical clustering. Each colored line represents the weight change trajectory of a participant. The black line represents the average weight change in said cluster. Cluster 1, superresponders; cluster 2, responders; cluster 3, moderate responders; cluster 4, nonresponders; cluster 5, gainers.