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. 2023 Feb 17;6:25. doi: 10.1038/s41746-023-00749-3

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — Significant differences in participants’ (a) survey response time, (b) survey completion time, (c) baseline depression symptom severity, and (d) age across three long-term engagement patterns (Cluster 1, Cluster 2, and Cluster 3) for Phone-Active, Phone-Passive, and Fitbit-Passive data streams, respectively. Note: Cluster 1, Cluster 2, and Cluster 3 represent the most engaged, medium engaged, and least engaged patterns shown in Fig. 2b. The centerline of the boxplots shows the median value of the factor across participants for each cluster, the box indicates the interquartile range (IQR) from the 25th (Q1) to 75th (Q3) percentiles, and the whiskers represent points within Q1 − 1.5*IQR and Q3 + 1.5*IQR. All p values were calculated by Kruskal-Wallis tests.