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ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2019

Psychometric properties of the Mandarin Chinese version of the KIDSCREEN-52 health-related quality of life questionnaire in adolescents: a cross-sectional study.

Yuhang Zhu, Juan Li, Shanju Hu, Xiaoxue Li, Di Wu, Shuai Teng

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

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11citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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11 citing papers in PubMed.

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5 · Who and what money

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6 authors.

Yuhang ZhuSchool of Public Health and Management, Weifang Medical University, No. 7166 Baotong West Street, Weifang, Shandong, People's Republic of China. zhuyuhang369@163.com.ORCID http://orcid.org/0000-0002-9236-2812
Juan LiSchool of Public Health and Management, Weifang Medical University, No. 7166 Baotong West Street, Weifang, Shandong, People's Republic of China.
Shanju HuSchool of Public Health and Management, Weifang Medical University, No. 7166 Baotong West Street, Weifang, Shandong, People's Republic of China.
Xiaoxue LiInstitute of Modern Hospital Management, The Third Medical Center of Chinese PLA General Hospital, Beijing, People's Republic of China.
Di WuDepartment of Teaching Quality Monitoring and Evaluation, Weifang Medical University, Weifang, Shandong, People's Republic of China.
Shuai TengSchool of Public Health and Management, Weifang Medical University, No. 7166 Baotong West Street, Weifang, Shandong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the psychometric properties of the Mandarin Chinese version of KIDSCREEN-52 health-related quality of life (HRQOL) questionnaire.

methodsWe conducted a cross-sectional study with two cohorts of school-based data in the urban areas of Weifang, China. 4385 and 841 representative adolescents aged 11-17 years have recruited into the baseline and test-retest group, respectively. Psychometric analyses included feasibility, item and dimension properties, reliability, construct validity, measurement invariance, convergent and discriminant validity, and known-group validity.

resultsThe response rates of both baseline and test-retest surveys were more than 90%. Low missing values were found (0.02-1.92%) across ten dimensions. The measurement properties of items were satisfactory. Noteworthy ceiling effects were observed for ten dimensions (6.75-31.84%), while the observed floor effects were negligible (0.02-1.37%). Internal consistency was robust with Cronbach's alpha (0.819-0.959), while the test-retest reliability was acceptable with the ICCs (0.724-0.849). Confirmatory factor analysis confirmed the ten-dimensional structure and supported the configural and metric invariance across gender and age groups. The Pearson correlation coefficients between the KIDSCREEN-52 and the PedsQL™ 4.0 were stronger in comparable dimensions than those in less comparable dimensions, demonstrating the convergent and discriminant validity. In most dimensions, statistically significant and medium or large effect size differences were found across socioeconomic and mental health status, supporting the known-group validity.

conclusionThese findings demonstrate that the Mandarin Chinese version of KIDSCREEN-52 seems to work well in a Chinese context, and is a psychometrically valid and reliable HRQOL instrument.

Indexed as

AdolescentAsian PeopleChildCohort StudiesCross-Sectional StudiesFactor Analysis, StatisticalFemaleHumansLanguageMalePsychometricsQuality of LifeReproducibility of ResultsSurveys and QuestionnairesTranslationsAdolescentsHealth-related quality of lifeKIDSCREEN-52Mandarin ChinesePsychometric properties

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.