Evidence map›Paper›PMID 40131684›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2025

Reporting heterogeneity and health measurement bias in older adults: nationwide cross-sectional study.

Qingwen Deng, Yu Xia, Yi Yang, Shimeng Liu, Yingyao Chen

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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Authors and funding

5 authors.

Qingwen DengSchool of Public Health, Fudan University, No.138, Yi Xue Yuan Road, Shanghai, 200032, China.
Yu XiaSchool of Public Health, Fudan University, No.138, Yi Xue Yuan Road, Shanghai, 200032, China.
Yi YangSchool of Public Health, Fudan University, No.138, Yi Xue Yuan Road, Shanghai, 200032, China. fd_yangyi@fudan.edu.cn.
Shimeng LiuSchool of Public Health, Fudan University, No.138, Yi Xue Yuan Road, Shanghai, 200032, China.
Yingyao ChenSchool of Public Health, Fudan University, No.138, Yi Xue Yuan Road, Shanghai, 200032, China. yychen@shmu.edu.cn.

Funding

China Postdoctoral Science Foundation 2022M710728National Natural Science Foundation of China 72474054
6 · The paper itself

Abstract

purposeTo examine reporting heterogeneity in self-rated health (SRH) among middle-aged and older adults using anchoring vignettes, and evaluate the impact of reporting heterogeneity on further measures of health inequalities.

methodsData on a sample of 13,323 respondents aged 45 years and over from the China Family Panel Studies (CFPS) were used. An ordered probit model and the hierarchical ordered probit (HOPIT) model were used to compare the estimated differences in pre- and post-adjusted SRH, and the concentration index was applied to measure health inequalities.

resultsAfter correcting for reporting heterogeneity, the health advantage of these middle-aged and older adults was further expanded to varying degrees, and those living in urban areas had better health compared to those living in rural areas (β = 0.057, P = 0.046). In addition, respondents with a high school education or higher and in urban areas use a lower cut-off point when rating a given health condition as poor and a higher cut-off point when rating a given health condition as good. Significant increases in the inequalities in SRH between urban and rural areas and across regions after adjustment for reporting heterogeneity. In comparison to urban areas, the trend that higher SRH was more concentrated among the better educated is more pronounced in rural areas.

conclusionThese findings highlight the importance of addressing reporting heterogeneity in SRH to ensure equitable healthcare interventions and resource allocation, particularly to underserved regions and populations.

Indexed as

Health StatusHealth Status DisparitiesSelf ReportAgedAged, 80 and overBiasChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedRural PopulationSocioeconomic FactorsUrban PopulationAnchoring vignettesHealth inequalitiesReporting heterogeneityResponse styleSelf-rated health

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