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Methods and Application: Online Pairwise Comparisons Survey on Disability Weight for Chronic Cadmium Poisoning — Shenyang City, Liaoning Province, China, June–August 2022

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  • Abstract

    Introduction

    Currently, the disease burden of chronic cadmium poisoning remains unquantifiable due to the absence of disability weights (DWs). This study aimed to derive DWs for mild and severe chronic cadmium poisoning.

    Methods

    Adopting the pairwise comparison (PC) method from the Global Burden of Disease (GBD) study, health state descriptions for mild and severe chronic cadmium poisoning were developed, and a severity spectrum of 13 health states was constructed based on GBD 2023. Questionnaires collecting demographic information and PC task questionnaires were distributed to the general population (n=552) and medical professionals (n=488).

    Results

    Heatmaps confirmed response consistency. Probit regression and Loess modeling revealed that DWs for mild and severe chronic cadmium poisoning were 0.099 and 0.363, respectively, in the general population, and 0.102 and 0.397, respectively, among medical professionals. Spearman correlation coefficients comparing DWs values with reference studies (GBD 2023 study and a Chinese national study) ranged from 0.64 to 0.95.

    Conclusion

    To our knowledge, this is the first study to successfully establish DW parameters for chronic cadmium poisoning. No significant differences were observed between DWs derived from the general population and those derived from medical professionals. This study provides a methodological reference for establishing DWs of environmental pollutants to assess their indirect disease burden.

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  • Conflicts of interest: No conflicts of interest.
  • Funding: Supported by the National Key Research and Development Project of China [grant number 2018YFC1801205], the Science and Technology Innovation Team Project of China Medical University 2022 [grant number CXTD2022006], and the Science and Technology Plan Project of Shenyang City 2023 [grant number 23-506-3-01]. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript
  • [1] Wang P, Chen HP, Kopittke PM, Zhao FJ. Cadmium contamination in agricultural soils of China and the impact on food safety. Environ Pollut 2019;249:1038 − 48. https://doi.org/10.1016/j.envpol.2019.03.063.
    [2] Liu JL, Li YL, Li D, Wang YBN, Wei S. The burden of coronary heart disease and stroke attributable to dietary cadmium exposure in Chinese adults, 2017. Sci Total Environ 2022;825:153997. https://doi.org/10.1016/j.scitotenv.2022.153997.
    [3] Gao TT, Wang XC, Chen R, Ngo HH, Guo WS. Disability adjusted life year (DALY): a useful tool for quantitative assessment of environmental pollution. Sci Total Environ 2015;511:268 − 87. https://doi.org/10.1016/j.scitotenv.2014.11.048.
    [4] GBD 2023 Disease and Injury and Risk Factor Collaborators. Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990-2023: a systematic analysis for the Global Burden of Disease Study 2023. Lancet 2025;406(10513):1873 − 922. https://doi.org/10.1016/S0140-6736(25)01637-X.
    [5] Piao XD, Tsugawa S, Takemura Y, Ichikawa N, Kida R, Kunie K, et al. Disability weights measurement for 17 diseases in Japan: a survey based on medical professionals. Econ Anal Policy 2021;70:238 − 48. https://doi.org/10.1016/j.eap.2021.02.010.
    [6] Devlin NJ, Brooks R. EQ-5D and the EuroQol Group: past, present and future. Appl Health Econ Health Policy 2017;15(2):127 − 37. https://doi.org/10.1007/s40258-017-0310-5.
    [7] Steckling N, Devleesschauwer B, Winkelnkemper J, Fischer F, Ericson B, Krämer A, et al. Disability weights for chronic mercury intoxication resulting from Gold Mining Activities: results from an online pairwise comparisons survey. Int J Environ Res Public Health 2017;14(1):57. https://doi.org/10.3390/ijerph14010057.
    [8] Manchaiah V, Danermark B, Ahmadi T, Tomé D, Zhao F, Li Q, et al. Social representation of "hearing loss": cross-cultural exploratory study in India, Iran, Portugal, and the UK. Clin Interv Aging 2015;10:1857 − 72. https://doi.org/10.2147/cia.S91076.
    [9] Ruan Y, Song SJ, Yin ZF, Wang M, Huang N, Gu W, et al. Comprehensive evaluation of military training-induced fatigue among soldiers in China: a Delphi consensus study. Front Public Health 2022;10:1004910. https://doi.org/10.3389/fpubh.2022.1004910.
    [10] Salomon JA, Vos T, Hogan DR, Gagnon M, Naghavi M, Mokdad A, et al. Common values in assessing health outcomes from disease and injury: disability weights measurement study for the Global Burden of Disease Study 2010. Lancet 2012;380(9859):2129 − 43. https://doi.org/10.1016/s0140-6736(12)61680-8.
    [11] Liu XX, Wang F, Zhou MG, Yu Y, Qi JL, Yin P, et al. Eliciting national and subnational sets of disability weights in mainland China: findings from the Chinese disability weight measurement study. Lancet Reg Health West Pac 2022;26:100520. https://doi.org/10.1016/j.lanwpc.2022.100520.
    [12] Haagsma JA, Maertens de Noordhout C, Polinder S, Vos T, Havelaar AH, Cassini A, et al. Assessing disability weights based on the responses of 30,660 people from four European countries. Popul Health Metr 2015;13(1):10. https://doi.org/10.1186/s12963-015-0042-4.
    [13] Chatham-Stephens K, Caravanos J, Ericson B, Sunga-Amparo J, Susilorini B, Sharma P, et al. Burden of disease from toxic waste sites in India, Indonesia, and the Philippines in 2010. Environ Health Perspect 2013;121(7):791 − 6. https://doi.org/10.1289/ehp.1206127.
    [14] Hernández-Cruz EY, Amador-Martínez I, Aranda-Rivera AK, Cruz-Gregorio A, Pedraza Chaverri J. Renal damage induced by cadmium and its possible therapy by mitochondrial transplantation. Chem Biol Interact 2022;361:109961. https://doi.org/10.1016/j.cbi.2022.109961.
    [15] Nomura S, Yamamoto Y, Yoneoka D, Haagsma JA, Salomon JA, Ueda P, et al. How do Japanese rate the severity of different diseases and injuries? —An assessment of disability weights for 231 health states by 37,318 Japanese respondents. Popul Health Metr 2021;19(1):21. https://doi.org/10.1186/s12963-021-00253-4.
  • FIGURE 1.  Response probabilities for pairwise comparisons of health states. (A) General population; (B) Medical professionals.

    Note: Each cell shows the response probability for one pair of states. The colors correspond to the probability that the first health state in pairwise comparison was chosen as the healthier outcome. HS1–HS15 represent the following health states: mild vision disorder, chronic low back pain, breast cancer (disease-free stage without permanent sequelae), deafness, diabetes mellitus, mild dementia, severe asthma, coronary heart disease (stage at diagnosis and primary therapy), stroke moderate impairments (acute incident plus rehabilitation phase), colorectal cancer, HIV/AIDS (seropositive, asymptomatic), severe depression, quadriplegia, mild chronic cadmium poisoning, and severe chronic cadmium poisoning.

    Abbreviation: HS=health state; HIV/AIDS=human immunodeficiency virus/acquired immunodeficiency syndrome.

    TABLE 1.  Sociodemographic characteristics of survey respondents (general population and medical professionals), Shenyang City, Liaoning Province, China, June–August 2022.

    Variables General population Medical professionals
    n Proportion (%) n Proportion (%)
    Age (years)
    18–29 131 29.50 145 33.80
    30–49 180 40.54 258 60.14
    50–70 133 29.95 26 6.06
    Sex
    Male 152 34.23 46 10.72
    Female 292 65.77 383 89.28
    Education level
    Below senior high school 89 20.05 14 3.26
    College/university and above 355 79.95 415 96.74
    Annual income (CNY)
    <30,000 62 13.96 43 10.02
    30,000–150,000 286 64.41 283 65.97
    >150,000 96 21.62 103 24.01
    Total 444 100.00 429 100.00
    Abbreviation: CNY=Chinese Yuan.
    Download: CSV

    TABLE 2.  Estimated disability weights and 95% uncertainty intervals for each health state — general population, medical professionals, and reference studies (the GBD 2023 and a Chinese national study), Shenyang City, Liaoning Province, China, June–August 2022.

    Health state General population Medical professionals GBD 2023 study Chinese national study
    Rank1 Coef* DWs (95% UI) Rank2 Coef* DWs (95% UI) Rank3 DWs (95% UI) Rank4 DWs (95% UI)
    Mild vision disorder 1 2.308 0.012 (0.002−0.068) 1 2.500 0.012 (0.002−0.066) 1 0.011 (0.005−0.020) 1 0.016 (0.001−0.081)
    Chronic low back pain 2 0.671 0.095 (0.044−0.194) 3 0.709 0.096 (0.044−0.194) 10 0.325 (0.219−0.446) 8 0.180 (0.089−0.311)
    Breast cancer (disease-free stage without permanent sequelae) 4 0.405 0.100 (0.051−0.186) 6 0.494 0.107 (0.054−0.200) 2 0.049 (0.031−0.072) 2 0.045 (0.006−0.153)
    Deafness 5 0.621 0.102 (0.048−0.205) 5 0.621 0.106 (0.051−0.208) 7 0.215 (0.144−0.307) 6 0.151 (0.065−0.287)
    Diabetes mellitus 6 0.600 0.104 (0.049−0.206) 7 0.498 0.108 (0.054−0.202) 2 0.049 (0.031−0.072) 2 0.045 (0.006−0.153)
    Mild dementia 7 0.174 0.112 (0.058−0.206) 2 0.338 0.094 (0.048−0.175) 4 0.069 (0.046−0.099) 4 0.047 (0.007−0.157)
    Severe asthma 8 −0.050 0.152 (0.076−0.281) 8 −0.140 0.154 (0.075−0.293) 5 0.133 (0.086−0.192) 9 0.227 (0.136−0.346)
    Coronary heart disease (stage at diagnosis and primary therapy) 9 −0.154 0.170 (0.084−0.316) 9 −0.280 0.177 (0.084−0.334) 6 0.167 (0.110−0.240) 7 0.163 (0.074−0.297)
    Stroke moderate impairments (acute incident plus rehabilitation phase) 10 −0.487 0.244 (0.123−0.426) 10 −0.512 0.224 (0.109−0.404) 9 0.316 (0.206−0.437) 5 0.111 (0.036−0.247)
    Colorectal cancer 11 −0.530 0.256 (0.131−0.440) 11 −0.659 0.262 (0.134−0.449) 8 0.288 (0.193−0.399) 11 0.264 (0.176−0.371)
    HIV/AIDS (seropositive, asymptomatic) 12 −0.550 0.261 (0.134−0.446) 12 −0.788 0.300 (0.159−0.492)
    Severe depression 14 −0.921 0.389 (0.208−0.607) 14 −1.122 0.422 (0.225−0.648) 12 0.658 (0.477−0.807) 12 0.699 (0.608−0.777)
    Quadriplegia 15 −1.358 0.575 (0.210−0.873) 15 −1.491 0.581 (0.228−0.867) 11 0.402 (0.268−0.545) 10 0.262 (0.174−0.370)
    Mild chronic cadmium poisoning 3 0.283 0.099 (0.051−0.184) 4 0.205 0.102 (0.052−0.189)
    Severe chronic cadmium poisoning 13 −0.856 0.363 (0.196−0.572) 13 −1.058 0.397 (0.215−0.611)
    Note: “–”: incomparability.
    Abbreviation: DW=disability weight; UI=uncertainty interval; GBD=global burden of disease; HIV/AIDS=human immunodeficiency virus/acquired immunodeficiency syndrome; coef=coefficient.
    * The probability regression coefficients.
    Download: CSV

    TABLE 3.  Correlation analysis of disability weights between survey respondents (general population and medical professionals), the GBD 2023 study, and a Chinese national study; Shenyang City, Liaoning Province, China, June–August 2022.

    Study populations General population Medical professionals GBD 2023 study Chinese national study
    General population 1
    Medical professionals 0.95** 1
    GBD 2023 study 0.64* 0.67* 1
    Chinese national study 0.72** 0.73** 0.83** 1
    Abbreviation: GBD=global burden of disease.
    * P<0.05; ** P<0.001.
    Download: CSV

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Online Pairwise Comparisons Survey on Disability Weight for Chronic Cadmium Poisoning — Shenyang City, Liaoning Province, China, June–August 2022

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Abstract

Introduction

Currently, the disease burden of chronic cadmium poisoning remains unquantifiable due to the absence of disability weights (DWs). This study aimed to derive DWs for mild and severe chronic cadmium poisoning.

Methods

Adopting the pairwise comparison (PC) method from the Global Burden of Disease (GBD) study, health state descriptions for mild and severe chronic cadmium poisoning were developed, and a severity spectrum of 13 health states was constructed based on GBD 2023. Questionnaires collecting demographic information and PC task questionnaires were distributed to the general population (n=552) and medical professionals (n=488).

Results

Heatmaps confirmed response consistency. Probit regression and Loess modeling revealed that DWs for mild and severe chronic cadmium poisoning were 0.099 and 0.363, respectively, in the general population, and 0.102 and 0.397, respectively, among medical professionals. Spearman correlation coefficients comparing DWs values with reference studies (GBD 2023 study and a Chinese national study) ranged from 0.64 to 0.95.

Conclusion

To our knowledge, this is the first study to successfully establish DW parameters for chronic cadmium poisoning. No significant differences were observed between DWs derived from the general population and those derived from medical professionals. This study provides a methodological reference for establishing DWs of environmental pollutants to assess their indirect disease burden.

  • 1. Research Center for Universal Health, School of Public Health, China Medical University, Shenyang City, Liaoning Province, China
  • 2. Quality Management and Accreditation Department, the University of Hong Kong-Shenzhen Hospital, Shenzhen City, Guangdong Province, China
  • 3. Public Health Center, Gumei Community Health Center, Minhang District, Shanghai, China
  • 4. Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education (China Medical University), Shenyang City, Liaoning Province, China
  • 5. Liaoning Provincial Key Laboratory of Early Warning, Intervention Technology and Countermeasure Research for Major Public Health Events (China Medical University), Shenyang City, Liaoning Province, China
  • Corresponding author:

    Wei Sun, wsun@cmu.edu.cn

  • Funding: Supported by the National Key Research and Development Project of China [grant number 2018YFC1801205], the Science and Technology Innovation Team Project of China Medical University 2022 [grant number CXTD2022006], and the Science and Technology Plan Project of Shenyang City 2023 [grant number 23-506-3-01]. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript
  • Online Date: May 08 2026
    Issue Date: May 08 2026
    doi: 10.46234/ccdcw2026.095
  • Cadmium is a toxic heavy metal and environmental pollutant that accumulates in soil and enters the food chain (1). Chronic exposure damages multiple organs and systems (2), but its public health burden remains unquantified.

    Since 1993, disability-adjusted life years (DALYs) have been the main indicators of disease burden (3). The Global Burden of Disease Study 2023 (GBD 2023) has established DWs covering 590 health states (4). However, the use of DALYs to assess the burden of chronic cadmium poisoning is limited due to the lack of disability weights (DWs). Limited exposure can cause severe, multi-organ damage, demonstrating the phenomenon of “one cause and multiple effects.” The presence of any more health impairments also defines more severe poisoning. Consequently, the actual disease burden of chronic cadmium poisoning remains unclear.

    This study aimed to establish DWs of mild and severe chronic cadmium poisoning. Given the expertise of medical professionals in disease recognition (5), they were included alongside the general population.

  • Disease-specific descriptions of mild and severe chronic cadmium poisoning were developed following China’s National Occupational Health Standards and validated by occupational disease experts. Generic terms were established using the EuroQol 5-dimension plus cognition 3-level (EQ-5D+C-3L) instrument (6) (Supplementary Table S1). Both disease-specific and generic descriptions were validated by occupational disease experts.

    With reference to the design for determining the DWs of chronic mercury poisoning (7), a severity spectrum of health states was constituted with consideration on methodological requirement and performable feasibility. A severity spectrum of 13 health states was established based on current parameters of DWs for mild vision disorder, diabetes mellitus, breast cancer (disease-free stage without permanent sequelae), mild dementia, severe asthma, coronary heart disease (stage at diagnosis and primary therapy), human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS; seropositive, asymptomatic), colorectal cancer, stroke moderate impairments (acute incident plus rehabilitation phase), chronic low back pain, quadriplegia, severe depression, and deafness that has cross-cultural/regional stability (8). Disease-specific descriptions were identified through literature reviews and converted to generic descriptions using the EQ-5D+C-3L (6) in consultation with clinical experts (Supplementary Table S1).

    Descriptions were compared with the lay descriptions used in GBD 2023 (4). Consistency was assessed using the Delphi method (Supplementary Material). A mean value ≥3 and coefficient of variation ≤0.35 (9) were considered a consensus. In this study, 12 health states, excluding HIV/AIDS, matched the corresponding descriptions in the GBD 2023 study and were used as anchors for a locally weighted regression model (Supplementary Table S2).

  • The pairwise comparison (PC) method (Supplementary Material) was used as described in previous GBD studies (10). Each PC question presented a brief narrative of the main characteristics of disease-specific and generic descriptions. Demographic data included sex, age, household income, and education level.

    The survey was conducted from June 2022 to August 2022 in Shenyang City, China. Sample size (n=375) was calculated based on the PC method used in the GBD studies (10), which requires 25 responses per health state; the number was increased to 480 to achieve an 80% response rate.

    A total of 552 questionnaires were distributed to the general population, of which 444 (effective response rate: 80.43%) were included for analysis. A total of 488 questionnaires were distributed to the medical professionals, of which 429 (effective response rate: 87.91%) were included for analysis. Sampling and quality control details are in Supplementary Method.

  • Analyses were performed using R (version 4.1.2; R Foundation for Statistical Computing, Vienna, Austria). Heatmaps were generated to validate the consistency of the data. With reference to the calculation on DWs of chronic mercury poisoning based on the GBD DW scales (7), probit regression analysis, the Loess model, and the Monte Carlo model (Supplementary Method) were performed to derive parameters of the DWs and their 95% uncertainty intervals (UIs) (7). Spearman rank correlation analysis was conducted to assess the consistency of the DWs of the general population, medical professionals, GBD 2023 study (4), and Chinese national study (11).

  • Mean age was 39.75±12.44 years (general population) and 33.97±8.41 years (medical professionals). Average response times were 8.92±5.64 min and 11.61±6.73 min, respectively (Table 1).

    Variables General population Medical professionals
    n Proportion (%) n Proportion (%)
    Age (years)
    18–29 131 29.50 145 33.80
    30–49 180 40.54 258 60.14
    50–70 133 29.95 26 6.06
    Sex
    Male 152 34.23 46 10.72
    Female 292 65.77 383 89.28
    Education level
    Below senior high school 89 20.05 14 3.26
    College/university and above 355 79.95 415 96.74
    Annual income (CNY)
    <30,000 62 13.96 43 10.02
    30,000–150,000 286 64.41 283 65.97
    >150,000 96 21.62 103 24.01
    Total 444 100.00 429 100.00
    Abbreviation: CNY=Chinese Yuan.

    Table 1.  Sociodemographic characteristics of survey respondents (general population and medical professionals), Shenyang City, Liaoning Province, China, June–August 2022.

  • The response probabilities for PCs of the general population and medical professionals are presented as heatmaps (Figure 1). For both populations, the relatively smooth transition in colors from low to high probabilities between the upper left and lower right corners indicated a limited measurement error and a high degree of internal consistency.

    Figure 1. 

    Response probabilities for pairwise comparisons of health states. (A) General population; (B) Medical professionals.

    Note: Each cell shows the response probability for one pair of states. The colors correspond to the probability that the first health state in pairwise comparison was chosen as the healthier outcome. HS1–HS15 represent the following health states: mild vision disorder, chronic low back pain, breast cancer (disease-free stage without permanent sequelae), deafness, diabetes mellitus, mild dementia, severe asthma, coronary heart disease (stage at diagnosis and primary therapy), stroke moderate impairments (acute incident plus rehabilitation phase), colorectal cancer, HIV/AIDS (seropositive, asymptomatic), severe depression, quadriplegia, mild chronic cadmium poisoning, and severe chronic cadmium poisoning.

    Abbreviation: HS=health state; HIV/AIDS=human immunodeficiency virus/acquired immunodeficiency syndrome.

  • Estimated DWs for chronic cadmium poisoning are presented in Table 2. Based on the fitting curve of the Loess model (Supplementary Figure S1), DWs of mild and severe chronic cadmium poisoning for the general population were 0.099 (95% UI: 0.051, 0.184) and 0.363 (95% UI: 0.196, 0.572), respectively. For medical professionals, DWs of mild and severe chronic cadmium poisoning were 0.102 (95% UI: 0.052, 0.189) and 0.397 (95% UI: 0.215–0.611), respectively. The overlapping areas of the 95% UIs were large for DWs for both mild and severe chronic cadmium poisoning in the two populations. DWs for severe chronic cadmium poisoning were significantly higher than those for mild chronic cadmium poisoning and ranked between colorectal cancer and severe depression.

    Health state General population Medical professionals GBD 2023 study Chinese national study
    Rank1 Coef* DWs (95% UI) Rank2 Coef* DWs (95% UI) Rank3 DWs (95% UI) Rank4 DWs (95% UI)
    Mild vision disorder 1 2.308 0.012 (0.002−0.068) 1 2.500 0.012 (0.002−0.066) 1 0.011 (0.005−0.020) 1 0.016 (0.001−0.081)
    Chronic low back pain 2 0.671 0.095 (0.044−0.194) 3 0.709 0.096 (0.044−0.194) 10 0.325 (0.219−0.446) 8 0.180 (0.089−0.311)
    Breast cancer (disease-free stage without permanent sequelae) 4 0.405 0.100 (0.051−0.186) 6 0.494 0.107 (0.054−0.200) 2 0.049 (0.031−0.072) 2 0.045 (0.006−0.153)
    Deafness 5 0.621 0.102 (0.048−0.205) 5 0.621 0.106 (0.051−0.208) 7 0.215 (0.144−0.307) 6 0.151 (0.065−0.287)
    Diabetes mellitus 6 0.600 0.104 (0.049−0.206) 7 0.498 0.108 (0.054−0.202) 2 0.049 (0.031−0.072) 2 0.045 (0.006−0.153)
    Mild dementia 7 0.174 0.112 (0.058−0.206) 2 0.338 0.094 (0.048−0.175) 4 0.069 (0.046−0.099) 4 0.047 (0.007−0.157)
    Severe asthma 8 −0.050 0.152 (0.076−0.281) 8 −0.140 0.154 (0.075−0.293) 5 0.133 (0.086−0.192) 9 0.227 (0.136−0.346)
    Coronary heart disease (stage at diagnosis and primary therapy) 9 −0.154 0.170 (0.084−0.316) 9 −0.280 0.177 (0.084−0.334) 6 0.167 (0.110−0.240) 7 0.163 (0.074−0.297)
    Stroke moderate impairments (acute incident plus rehabilitation phase) 10 −0.487 0.244 (0.123−0.426) 10 −0.512 0.224 (0.109−0.404) 9 0.316 (0.206−0.437) 5 0.111 (0.036−0.247)
    Colorectal cancer 11 −0.530 0.256 (0.131−0.440) 11 −0.659 0.262 (0.134−0.449) 8 0.288 (0.193−0.399) 11 0.264 (0.176−0.371)
    HIV/AIDS (seropositive, asymptomatic) 12 −0.550 0.261 (0.134−0.446) 12 −0.788 0.300 (0.159−0.492)
    Severe depression 14 −0.921 0.389 (0.208−0.607) 14 −1.122 0.422 (0.225−0.648) 12 0.658 (0.477−0.807) 12 0.699 (0.608−0.777)
    Quadriplegia 15 −1.358 0.575 (0.210−0.873) 15 −1.491 0.581 (0.228−0.867) 11 0.402 (0.268−0.545) 10 0.262 (0.174−0.370)
    Mild chronic cadmium poisoning 3 0.283 0.099 (0.051−0.184) 4 0.205 0.102 (0.052−0.189)
    Severe chronic cadmium poisoning 13 −0.856 0.363 (0.196−0.572) 13 −1.058 0.397 (0.215−0.611)
    Note: “–”: incomparability.
    Abbreviation: DW=disability weight; UI=uncertainty interval; GBD=global burden of disease; HIV/AIDS=human immunodeficiency virus/acquired immunodeficiency syndrome; coef=coefficient.
    * The probability regression coefficients.

    Table 2.  Estimated disability weights and 95% uncertainty intervals for each health state — general population, medical professionals, and reference studies (the GBD 2023 and a Chinese national study), Shenyang City, Liaoning Province, China, June–August 2022.

  • Estimated DWs (95% UI) of the general population and medical professionals are presented in Table 2. The DWs of the 13 health states were similar between the two populations, especially in the last 7 health states. Among the 13 health states between the two populations, 10 had differences in DWs of less than 0.010, with the largest difference for HIV/AIDS (seropositive, asymptomatic) (0.039). In this study, mild vision disorder had the lowest DWs for the general population and medical professionals [0.012 (95% UI: 0.002, 0.068) and 0.012 (95% UI: 0.002, 0.066), respectively], whereas quadriplegia had the highest [0.575 (95% UI: 0.210, 0.873) and 0.581 (95% UI: 0.228, 0.867), respectively].

  • In comparison to the GBD 2023 study (4), DWs for 5 of the 12 health states of the general population and 6 of the 12 health states of medical professionals were within the 95% UIs of the GBD 2023 study. DWs of chronic low back pain, deafness, and severe depression were below the lower limit of the corresponding 95% UIs of the GBD 2023 study, with absolute differences of 0.113 to 0.269 and 0.109 to 0.236 for the two populations, respectively. DWs of breast cancer (disease-free stage without permanent sequelae), diabetes mellitus, and quadriplegia were above the upper limit of the corresponding 95% UIs of the GBD 2023 study, with absolute differences of 0.051 to 0.173 and 0.058 to 0.179, respectively. In addition, DWs of mild dementia was also above the level of the GBD 2023 with an absolute difference of 0.043 for the general population.

    Compared with the Chinese national study (11), DWs for 10 of the 12 health states were within the corresponding 95% UIs of the Chinese national study for the two populations. DW values of severe depression were well below the lower limit of the corresponding 95% UI of the Chinese national study, with absolute differences of 0.310 and 0.277, respectively, and DWs values of quadriplegia were above the upper limit of the 95% UI of the Chinese national study, with an absolute difference of 0.310 for both the general population and medical professionals.

  • Correlations between the DWs drawn from the two populations in the present study, the GBD 2023 study (4), and the Chinese national study (11) are shown in Table 3. Spearman's rank correlation coefficient for DWs between the general population and medical professionals was 0.95 (P<0.001). Their correlations for DWs between the general population and the GBD 2023 study and between medical professionals and the GBD 2023 study were 0.64 (P<0.05) and 0.67 (P<0.05), respectively. In contrast, their correlations with the Chinese national study were 0.72 (P<0.001) and 0.73 (P<0.001), respectively.

    Study populations General population Medical professionals GBD 2023 study Chinese national study
    General population 1
    Medical professionals 0.95** 1
    GBD 2023 study 0.64* 0.67* 1
    Chinese national study 0.72** 0.73** 0.83** 1
    Abbreviation: GBD=global burden of disease.
    * P<0.05; ** P<0.001.

    Table 3.  Correlation analysis of disability weights between survey respondents (general population and medical professionals), the GBD 2023 study, and a Chinese national study; Shenyang City, Liaoning Province, China, June–August 2022.

  • To our knowledge, this study is the first to derive DW parameters for chronic cadmium poisoning. Test-retest reliability (0.80 and 0.79) exceeded European estimates (0.72 to 0.78) (12). Heatmaps indicated low measurement error and high consistency. These findings demonstrate the relatively high credibility of this study.

    DWs for mild and severe poisoning were 0.099 and 0.363 in the general population, and 0.102 and 0.397 in medical professionals, respectively. In the two populations, the DWs of mild chronic cadmium poisoning ranked between chronic low back pain and breast cancer, whereas those of severe chronic cadmium poisoning ranked between colorectal cancer and severe depression. Previous studies used only kidney impairment DWs (0.091) to calculate DALYs due to the lack of available DWs, underestimating health damage (1314). Bone damage of severe poisoning exceeded moderate musculoskeletal problems (moderate generalized) in the GBD 2023 study (4) but were lower than severe musculoskeletal problems. Existing DWs inadequately reflect chronic cadmium poisoning, highlighting the need for condition-specific DWs.

    Comparisons of DW severity spectrum with those of other studies revealed interesting findings. Of the DWs of the 12 health states in this study, only 5 were within the corresponding 95% UIs of the GBD 2023 study (4), while 10 were within the corresponding 95% UIs of the Chinese national study (11). Moreover, their correlations with the GBD 2023 study were smaller than those with the Chinese national study. With regard to deafness, an indicator of the reliability of the results (8), the variation intensity to the Chinese national study is lower than that to the GBD 2023 study, suggesting that the present study was localized and representative of the Chinese population. As suggested by Nomura et al. (15), there may be contextual differences in rating the severity of health states across countries with different cultures and income levels, and country-specific DWs should be applied in future studies.

    Piao et al. (5) found that DWs were higher for medical professionals than the general population. In contrast, the present study found no significant difference in DWs between the two populations, inversely confirming the health state descriptions of the EQ-5D+C-3L (6) and representativeness of the general population in the GBD study.

    The findings in this report are subject to at least two limitations. First, the survey was conducted only in Shenyang, limiting the generalizability of these findings. A national survey covering all regions should be conducted to enhance the representativeness of DW values. Second, the web-based survey method introduced a sample bias toward younger and more educated participants. However, this limitation led to enhanced response quality due to the participants' stronger comprehension.

    In conclusion, this study derived DWs for mild and severe chronic cadmium poisoning based on the PC method. There were no significant differences in DWs between the general population and medical professionals, providing a basis for measuring health damage due to environmental risks.

  • Approved by the ethics committee of the China Medical University (Shenyang City, Liaoning Province, China).

  • Conflicts of interest: No conflicts of interest.
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