<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>13(1)</volume><submitter>Zhu Y</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>The Symptom Checklist (SCL) developed by the Health Behaviour in School‑aged Children (HBSC) study is widely used to capture the psychosomatic complaints (PSC) of non-clinical children and adolescents. Although its psychometric properties have been well established internationally, the performance of the Mandarin Chinese version remains unclear. This study evaluates the Mandarin Chinese HBSC-SCL's psychometric properties, develops its norm, and creates the corresponding scoring algorithm.&lt;h4>Methods&lt;/h4>Data were collected from a two-wave cross-sectional survey conducted between June 20 and July 11, 2022, across eight Chinese Human Geography Regions (CHGRs). The sample included 3290 junior secondary school students, obtained through convenience sampling (first wave) and </pubmed_abstract><journal>BMC psychology</journal><pagination>100</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11796065</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Using the HBSC Symptom Checklist to measure junior secondary school students' psychosomatic complaints in the Chinese Mainland: Rasch-based validation, population-based norm, and norm-referenced scoring algorithm.</pubmed_title><pmcid>PMC11796065</pmcid><pubmed_authors>Lou P</pubmed_authors><pubmed_authors>Jeffrey R</pubmed_authors><pubmed_authors>Shi M</pubmed_authors><pubmed_authors>Zhang K</pubmed_authors><pubmed_authors>Guo X</pubmed_authors><pubmed_authors>Wang C</pubmed_authors><pubmed_authors>Zhang H</pubmed_authors><pubmed_authors>Wu B</pubmed_authors><pubmed_authors>Yue M</pubmed_authors><pubmed_authors>Zhang M</pubmed_authors><pubmed_authors>Huang L</pubmed_authors><pubmed_authors>Wu D</pubmed_authors><pubmed_authors>Wen R</pubmed_authors><pubmed_authors>Huang Q</pubmed_authors><pubmed_authors>Wang J</pubmed_authors><pubmed_authors>Yue C</pubmed_authors><pubmed_authors>Wang M</pubmed_authors><pubmed_authors>Qiu Z</pubmed_authors><pubmed_authors>Chen Z</pubmed_authors><pubmed_authors>Wang S</pubmed_authors><pubmed_authors>Cong X</pubmed_authors><pubmed_authors>Chen Y</pubmed_authors><pubmed_authors>Wang X</pubmed_authors><pubmed_authors>Cui C</pubmed_authors><pubmed_authors>Wang Y</pubmed_authors><pubmed_authors>Xu L</pubmed_authors><pubmed_authors>He C</pubmed_authors><pubmed_authors>Yang J</pubmed_authors><pubmed_authors>Li J</pubmed_authors><pubmed_authors>Chen K</pubmed_authors><pubmed_authors>Li C</pubmed_authors><pubmed_authors>Tan H</pubmed_authors><pubmed_authors>He J</pubmed_authors><pubmed_authors>Liao X</pubmed_authors><pubmed_authors>Yang N</pubmed_authors><pubmed_authors>Chen L</pubmed_authors><pubmed_authors>Xu D</pubmed_authors><pubmed_authors>Li R</pubmed_authors><pubmed_authors>Chen H</pubmed_authors><pubmed_authors>Zhong Y</pubmed_authors><pubmed_authors>Sun X</pubmed_authors><pubmed_authors>Cosma A</pubmed_authors><pubmed_authors>Li M</pubmed_authors><pubmed_authors>Yang X</pubmed_authors><pubmed_authors>PROSQoL-JSSS research group</pubmed_authors><pubmed_authors>Li S</pubmed_authors><pubmed_authors>He Z</pubmed_authors><pubmed_authors>Yuan B</pubmed_authors><pubmed_authors>Xu X</pubmed_authors><pubmed_authors>Fu R</pubmed_authors><pubmed_authors>Zhu Y</pubmed_authors><pubmed_authors>Jing L</pubmed_authors><pubmed_authors>Mao Q</pubmed_authors><pubmed_authors>Zhao W</pubmed_authors><pubmed_authors>Jiang S</pubmed_authors><pubmed_authors>Jiang T</pubmed_authors><pubmed_authors>Cai H</pubmed_authors><pubmed_authors>Yu H</pubmed_authors><pubmed_authors>Zhao X</pubmed_authors><pubmed_authors>Zheng H</pubmed_authors><pubmed_authors>Wei F</pubmed_authors><pubmed_authors>Qu X</pubmed_authors><pubmed_authors>Shao Q</pubmed_authors><pubmed_authors>Bazang K</pubmed_authors><pubmed_authors>Zhu H</pubmed_authors><pubmed_authors>Zhu G</pubmed_authors><pubmed_authors>Ning J</pubmed_authors><pubmed_authors>Zhou Y</pubmed_authors><pubmed_authors>Guan M</pubmed_authors><pubmed_authors>Kha A</pubmed_authors><pubmed_authors>Zhang Z</pubmed_authors><pubmed_authors>Tao Y</pubmed_authors><pubmed_authors>Zhang X</pubmed_authors><pubmed_authors>Huang X</pubmed_authors><pubmed_authors>Miao X</pubmed_authors><pubmed_authors>Shi F</pubmed_authors><pubmed_authors>Zhu X</pubmed_authors></additional><is_claimable>false</is_claimable><name>Using the HBSC Symptom Checklist to measure junior secondary school students' psychosomatic complaints in the Chinese Mainland: Rasch-based validation, population-based norm, and norm-referenced scoring algorithm.</name><description>&lt;h4>Background&lt;/h4>The Symptom Checklist (SCL) developed by the Health Behaviour in School‑aged Children (HBSC) study is widely used to capture the psychosomatic complaints (PSC) of non-clinical children and adolescents. Although its psychometric properties have been well established internationally, the performance of the Mandarin Chinese version remains unclear. This study evaluates the Mandarin Chinese HBSC-SCL's psychometric properties, develops its norm, and creates the corresponding scoring algorithm.&lt;h4>Methods&lt;/h4>Data were collected from a two-wave cross-sectional survey conducted between June 20 and July 11, 2022, across eight Chinese Human Geography Regions (CHGRs). The sample included 3290 junior secondary school students, obtained through convenience sampling (first wave) and </description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Feb</publication><modification>2025-04-04T07:26:23.771Z</modification><creation>2025-04-04T07:26:23.771Z</creation></dates><accession>S-EPMC11796065</accession><cross_references><pubmed>39910596</pubmed><doi>10.1186/s40359-024-02136-3</doi></cross_references></HashMap>