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Mapping IWQOL-Lite onto EQ-5D-5L and SF-6Dv2 among overweight and obese population in China

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Abstract

Purpose

To develop the mapping functions from the Impact of Weight on Quality of Life-Lite (IWQOL-Lite) scores onto the EQ-5D-5L and SF-6Dv2 utility values among the overweight and obese population in China.

Methods

A representative sample of the overweight and obese population in China stratified by age, sex, body mass index (BMI), and area of residence was collected by online survey and the sample was randomly divided into development (80%) and validation (20%) datasets. The conceptual overlap between the IWQOL-Lite and the EQ-5D-5L or SF-6Dv2 was evaluated by Spearman’s correlation coefficients. Five models, including OLS, Tobit, CLAD, GLM, and PTM were explored to derive mapping functions using the development dataset. The model performance was assessed using MAE, RMSE, and the percentage of AE > 0.05 and AE > 0.1 in the validation dataset.

Results

A total of 1000 respondents (48% female; mean [SD] age: 51.7 [15.3]; mean [SD] BMI: 27.4 [2.8]) were included in this study. The mean IWQOL-Lite scores and the utility values of EQ-5D-5L and SF-6Dv2 were 78.5, 0.851, and 0.734, respectively. The best-performing models predicting EQ-5D-5L and SF-6Dv2 utilities both used IWQOL-Lite total score as a predictor in the CLAD model (MAE: 0.083 and 0.076 for the EQ-5D-5L and SF-6Dv2; RMSE: 0.125 and 0.103 for the EQ-5D-5L and SF-6Dv2; AE > 0.05: 20.5% and 27.5% for the EQ-5D-5L and SF-6Dv2; AE > 0.10: 9.5% and 15.0% for the EQ-5D-5L and SF-6Dv2).

Conclusion

CLAD models with the IWQOL-Lite total score can be used to predict both the EQ-5D-5L and SF-6Dv2 utility values among overweight and obese population in China.

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Data availability

The datasets generated and analyzed during the current study are not publicly available due the informed consent rules with respondents included in this study.

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Acknowledgements

This study was funded by the National Natural Science Foundation of China (Grant No. 72174142). We would like to thank all the interviewers and respondents for taking part in this study.

Funding

Role of the Funder/Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

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  1. School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China

    Weihua Guo, Shitong Xie, Dingyao Wang & Jing Wu

  2. Center for Social Science Survey and Data, Tianjin University, Tianjin, China

    Weihua Guo, Shitong Xie, Dingyao Wang & Jing Wu

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JW reported receiving grants from the National Natural Science Foundation of China during the conduct of the study. No other conflict of interest was reported by the authors.

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This study was approved by the Academic Ethics Committee at Tianjin University (No. 20220211) and was conducted in accordance with the Declaration of Helsinki.

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Guo, W., Xie, S., Wang, D. et al. Mapping IWQOL-Lite onto EQ-5D-5L and SF-6Dv2 among overweight and obese population in China. Qual Life Res 33, 817–829 (2024). https://doi.org/10.1007/s11136-023-03568-x

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