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

被引：0

作者：

Zhu, Yuhang ^{[1
]}

Cong, Xianzhu ^{[1
]}

Qiu, Zhenliang ^{[2
]}

Jeffrey, Ricky ^{[3
]}

Li, Ranran ^{[4
]}

Jing, Li ^{[2
]}

Zhu, Gaopei ^{[5
]}

Yang, Xi ^{[1
]}

Li, Shuang ^{[1
]}

Wang, Jinling ^{[6
]}

Xu, Xu ^{[7
]}

Zhu, Hongliu ^{[8
]}

Wang, Xinjian ^{[9
]}

Huang, Ling ^{[10
]}

Sun, Xueqin ^{[11
]}

Wu, Di ^{[12
]}

Zhang, Kai ^{[13
]}

Miao, Xunhong ^{[14
]}

Wen, Rui ^{[15
]}

Huang, Qinglang ^{[16
]}

He, Zhuang ^{[17
]}

Li, Juan ^{[18
]}

Cosma, Alina ^{[19
]}

Shi, Fuyan ^{[1
]}

Wang, Suzhen ^{[1
]}

机构：

[1] Shandong Second Med Univ, Sch Publ Hlth, Teaching & Res Sect Hlth Stat, 7166 Baotong West St, Weifang 261053, Shandong, Peoples R China

[2] 1 High Sch Anhui Sixian Cty, 172 Sishui Blvd, Suzhou 234300, Anhui, Peoples R China

[3] Univ Nottingham Ningbo China, Fac Humanities & Social Sci, Sch Educ & English, 199 Taikang East Rd, Ningbo 315100, Zhejiang, Peoples R China

[4] Vrije Univ Amsterdam, Fac Behav & Movement Sci, Dept Expt & Appl Psychol, Boechorststr 7,MF-557, NL-1081 BT Amsterdam, Netherlands

[5] Shandong Univ, Cheeloo Coll Med, Sch Publ Hlth, Dept Hlth Stat, 44 Wenhua West Rd, Jinan 250012, Shandong, Peoples R China

[6] Dongming Sch Weifang High Tech Ind Dev Zone, 2933 Beigong East St, Weifang 261061, Shandong, Peoples R China

[7] Tongsheng 1 Jr High Sch Lishui Town, Foshan 528244, Guangdong, Peoples R China

[8] Ningxiang 13 Senior High Sch, 171Chuwei Middle Rd, Changsha 410600, Hunan, Peoples R China

[9] Dongshin Univ, Coll Hlth & Welf, Dept Counseling Psychol, 67 Dongshin Univ Rd, Naju Si 58245, Jeollanam Do, South Korea

[10] Aba Teachers Coll, Dept Phys Educ, Foshan Blvd, Aba 623002, Sichuan, Peoples R China

[11] Bengbu Med Univ, Sch Nursing Bengbu, 2600 Donghai Blvd, Bengbu 233030, Anhui, Peoples R China

[12] Shandong Second Med Univ, Sch Foreign Languages, Teaching & Res Sect English Major 2, 7166 Baotong West St, Weifang 261053, Shandong, Peoples R China

[13] Changsha Presch Educ Coll, Changsha 410699, Hunan, Peoples R China

[14] Suzhou Univ, 609 Huishui East Rd, Suzhou 234000, Anhui, Peoples R China

[15] Xinfeng High Sch, Xinfeng 341600, Jiangxi, Peoples R China

[16] Jingxi Ethn Senior High Sch, Jingxi 533800, Guangxi, Peoples R China

[17] Guiyang Univ, Sch Educ Sci, Teaching & Res Sect Appl Psychol, 103 Jianlongdong Rd, Guiyang 550005, Guizhou, Peoples R China

[18] Binzhou Med Univ, Sch Hlth Management, Teaching & Res Sect Social Med & Hlth Management, 346 Guanhai Rd, Yantai 264003, Shandong, Peoples R China

[19] Univ Dublin, Trinity Coll Dublin, Trinity Ctr Global Hlth, 7-9 Leinster St South, Dublin D02 K104, Ireland

来源：

BMC PSYCHOLOGY | 2025年 / 13卷 / 01期

关键词：

Psychosomatic complaints; Health Behaviour in School-aged Children; HBSC Symptom Checklist; Mandarin Chinese; Psychometric properties; Rasch measurement method; Junior secondary school students; Population-based norm; Norm-referenced scoring algorithm; SUBJECTIVE HEALTH COMPLAINTS; SOCIAL DESIRABILITY BIAS; TIME TRENDS; AGED CHILDREN; ADOLESCENCE; VICTIMIZATION; RELIABILITY; PERFORMANCE; MANAGEMENT; CHILDHOOD;

D O I：

10.1186/s40359-024-02136-3

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

BackgroundThe 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.MethodsData 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 multistage, stratified, cluster sampling (second wave). The surveys were administered anonymously in the school setting, using a paper-and-pencil, self-administered questionnaire. The Mandarin Chinese HBSC-SCL's unidimensionality was verified using confirmatory factor analysis (CFA), and its psychometric properties were comprehensively evaluated using the partial credit model (PCM) of the Rasch measurement method. Based on the above scientific evidence, the population-based norm and norm-referenced scoring algorithm were developed and created.ResultsThe CFA confirmed that the HBSC-SCL can be considered unidimensional in the Chinese Mainland. Evidence-based on the six features of the Rasch model indicated that the Mandarin Chinese HBSC-SCL has satisfactory psychometric properties. All 5-category rating scales of eight items appropriately differentiated the students' PSC and demonstrated strong goodness-of-fit. This version also exhibited good unidimensionality and local independence. The Rasch model generated two kinds of reliability indicators, with the item indicators performing well. The person-item map demonstrated acceptable person and item matches, and provided new perspectives for future improvements. Additionally, no substantial uniform differential item functioning (UDIF) was detected across 13 groups (e.g., survey waves, gender, chronological age).ConclusionsThe Mandarin Chinese HBSC-SCL demonstrates satisfactory psychometric properties and performs well in the Chinese Mainland context. It provides concise self-reported PSC measures for junior secondary school students, potentially applicable to a broader Chinese-speaking population. Its ease of administration, scoring, and interpretation makes it suitable for routine school monitoring, large-scale population surveys, and clinical applications. Additionally, the population-based norm and norm-referenced scoring algorithm support the broader application of this version and offer new insights for interpreting PSC sum scores.

引用

页数：25