EXPLORING THE USE OF THE EQ-5D-Y-5L FOR ASSESSING MENTAL HEALTH OF CHILDREN AND ADOLESCENTS AGED 10-18 YEARS IN CHINA
Author(s)
Shitong Xie, PhD, Nuoming Xu, PhD candidate, Jing Wu, PhD;
School of Pharmaceutical Science and Technology, Faculty of Medicine, Tianjin University, Tianjin, China
School of Pharmaceutical Science and Technology, Faculty of Medicine, Tianjin University, Tianjin, China
OBJECTIVES: Early-life mental health greatly impacts health-related quality of life (HRQoL). The EQ-5D-Y-5L, an updated version of the EQ-5D-Y-3L, has shown potential for assessing HRQoL in young population. This study aimed to evaluate the measurement properties of the EQ-5D-Y-5L in this context and explore the associated factors of EQ-5D-Y-5L score differences among children and adolescents with and without mental health issues.
METHODS: A sample of children and adolescents aged 10-18 years was recruited from eleven schools across various geographical regions in China. Data on sociodemographics, family information, health habits, and self-reported EQ-5D-Y-5L, Patient Health Questionnaire-9 (PHQ-9), and Spence Children’s Anxiety Scale-Short Version (SCAS-S), were collected. Respondents were categorized into one group with mental health issues (PHQ-9≥5 or SCAS-S≥35) and another group without mental health issues (PHQ-9<5 and SCAS-S<35). Ceiling and floor effects, convergent validity, known-groups validity, and sensitivity (measured by effect sizes) of the EQ-5D-Y-5L were evaluated. Propensity score matching was conducted based on age, gender, grade, residence, and geographical region. Multiple linear regression was used to examine associations between EQ-5D-Y-5L scores and demographic variables.
RESULTS: A total of 4,881 respondents completed the survey, with 1,825 with mental health issues. The EQ-5D-Y-5L showed the ceiling effect (25.64%) in those with mental health issues. It correlated moderately with PHQ-9 (r=0.45, p<0.001) and mildly with SCAS-S (r=0.33, p<0.001). The EQ-5D-Y-5L could discriminate between subgroups with different severity of depression or anxiety, with effect sizes ranging from 0.59 to 2.65 (p<0.001). After propensity score matching (N=1,690), being female, having poorer family relationships, higher study pressure, heavier homework burden, and drinking history were independent predictors of EQ-5D-Y-5L score differences (p<0.05).
CONCLUSIONS: The EQ-5D-Y-5L demonstrated good validity and sensitivity in assessing mental health for children and adolescents with mental health issues. Gender, family relationships, study pressure, homework burden, and drinking history are key predictors of EQ-5D-Y-5L score differences.
METHODS: A sample of children and adolescents aged 10-18 years was recruited from eleven schools across various geographical regions in China. Data on sociodemographics, family information, health habits, and self-reported EQ-5D-Y-5L, Patient Health Questionnaire-9 (PHQ-9), and Spence Children’s Anxiety Scale-Short Version (SCAS-S), were collected. Respondents were categorized into one group with mental health issues (PHQ-9≥5 or SCAS-S≥35) and another group without mental health issues (PHQ-9<5 and SCAS-S<35). Ceiling and floor effects, convergent validity, known-groups validity, and sensitivity (measured by effect sizes) of the EQ-5D-Y-5L were evaluated. Propensity score matching was conducted based on age, gender, grade, residence, and geographical region. Multiple linear regression was used to examine associations between EQ-5D-Y-5L scores and demographic variables.
RESULTS: A total of 4,881 respondents completed the survey, with 1,825 with mental health issues. The EQ-5D-Y-5L showed the ceiling effect (25.64%) in those with mental health issues. It correlated moderately with PHQ-9 (r=0.45, p<0.001) and mildly with SCAS-S (r=0.33, p<0.001). The EQ-5D-Y-5L could discriminate between subgroups with different severity of depression or anxiety, with effect sizes ranging from 0.59 to 2.65 (p<0.001). After propensity score matching (N=1,690), being female, having poorer family relationships, higher study pressure, heavier homework burden, and drinking history were independent predictors of EQ-5D-Y-5L score differences (p<0.05).
CONCLUSIONS: The EQ-5D-Y-5L demonstrated good validity and sensitivity in assessing mental health for children and adolescents with mental health issues. Gender, family relationships, study pressure, homework burden, and drinking history are key predictors of EQ-5D-Y-5L score differences.
Conference/Value in Health Info
2026-05, ISPOR 2026, Philadelphia, PA, USA
Value in Health, Volume 29, Issue S6
Code
PCR49
Topic
Patient-Centered Research
Topic Subcategory
Instrument Development, Validation, & Translation, Patient-reported Outcomes & Quality of Life Outcomes