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However, it is unknown how individuals present heterogeneous ASD trajectories during the COVID\u201019 centralized quarantine and what factors contribute to these patterns. This study aimed to identify the ASD trajectories and their determinants during the centralized quarantine period, and the mediating effects of resilience on these associations. A longitudinal survey with three waves was conducted in a randomly selected quarantine hotel in Shenzhen, China from October to November 2020. A total of 273 participants completed online measures assessing ASD symptoms, Eysenck's personality constructs of extraversion (E), neuroticism (N), psychoticism (P), and resilience on Day 1, and reported ASD symptoms on Days 7 and 14 during their 14\u2010day centralized quarantine periods. Latent class growth analysis identified three trajectories: constantly high symptoms (CHS, 4.76%), decreasing symptoms (DS, 11.72%), and constantly low symptoms (CLS, 83.52%). The CHS and DS subgroups both reported lower E and higher N scores, but not P, compared with the CLS subgroup. Resilience mediated the effects of three personality constructs on ASD trajectories, except for the association between N and DS membership. Our study highlights the heterogeneity in stress responses to the COVID\u201019 centralized quarantine. The high\u2010risk subgroup with persistent ASD symptoms was characterized by lower E and higher N. The resilience process accounted for the effects of personality in shaping distinct ASD trajectories. Our findings have implications to detect the populations vulnerable to ASD and provide insights for developing timely resilience enhancement intervention programs.<\/jats:p>","DOI":"10.1002\/smi.3351","type":"journal-article","created":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T12:09:21Z","timestamp":1701259761000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Trajectories and determinants of acute stress disorder during the COVID\u201019 centralized quarantine: A latent class growth analysis"],"prefix":"10.1002","volume":"40","author":[{"given":"Bowen","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Social and Behavioural Sciences City University of Hong Kong  Hong Kong SAR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Nursing Wuhan University  Wuhan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuxin","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Nursing Wuhan University  Wuhan China"},{"name":"The Second People's Hospital of Futian District  Shenzhen China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6371-2684","authenticated-orcid":false,"given":"Nancy Xiaonan","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Social and Behavioural Sciences City University of Hong Kong  Hong Kong SAR China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2023,11,29]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"crossref","DOI":"10.1176\/appi.books.9780890425787","volume-title":"Diagnostic and statistical manual of mental disorders","author":"American Psychiatric Association","year":"2022"},{"key":"e_1_2_11_3_1","unstructured":"American Psychological Association. 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