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. 2022 Mar 3;27(4):2255–2263. doi: 10.1038/s41380-022-01478-x

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© The Author(s) 2022

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. 2 — Sample: ALSPAC (N = 3931). The latent class growth analysis resulted in the following trajectories: (1) Depression: Class 1—low depressive symptoms (68.9%), representing participants with low depressive symptoms at all assessments; Class 2—moderate depressive symptoms (23.8%), representing participants with moderate depressive symptoms at all assessments; Class 3—severe depressive symptoms (7.4%), representing participants with high levels of depressive symptoms at all assessments; (2) CRP: Class 1—low-moderate CRP (69.8%), representing participants with low levels in late childhood and moderate levels in adolescence; Class 2—moderate-high CRP (19.5%), representing participants with moderate levels in late childhood and high levels in adolescence; Class 3—high-moderate CRP (10.6%), representing participants with high levels in late childhood but lower levels in adolescence. The ‘low depression’ and ‘low-moderate CRP’ trajectories were used as reference categories in multinomial logistic regression analysis.