Additional file 1 of The national and provincial prevalence and non-fatal burdens of diabetes in China from 2005 to 2023 with projections of prevalence to 2050

Additional file 1. Methods. Table S1 The baseline characteristics of the Chinese adult population in six rounds of CCDRFS. Table S2 The basic characteristic of 73 population-based studies included in the analysis. Table S3 The percentage change of number of patients and YLDs in 2023 relative to that in 2005, and the AAPC in the ASR of prevalence and YLDs during 2005-2023 by sex, geographical region, and HDI, in China. Table S4 The number of cases, ASR of prevalence, YLDs, and ASR of YLDs for diabetes in 2023, as well as AAPC in the ASR of prevalence and YLDs during 2005-2023, in Chinese 31 provinces (autonomous regions and municipalities). Table S5 ASR of prevalence for diabetes among adults aged 18 and above. Fig. S1 Systematic review flow diagram for selection of studies. Fig. S2 Comparison of the prevalence of diabetes from a literature review and the CCDRFS (after Crosswalk process). Fig. S3 The diagram of the estimation process of prevalence and YLDs of diabetes. Fig. S4 The BMI and HDI in China and by province in 2005 and 2023. Fig. S5 The number of YLDs and ASR of YLDs for diabetes by sex in China from 2005 to 2023. Fig. S6 ASR of YLD for diabetes in China at the provincial level in 2023, and AAPC in ASR of YLDs from 2005 to 2023. Fig. S7 The prevalence of diabetes by five-year age groups in China and Chinese six regions, 2023. Fig. S8 The rate of YLDs by five-year age groups in China and Chinese six regions, 2023. Fig. S9 ASR of prevalence for diabetes by quintile of HDI during 2005–2023 (a), the correlation between HDI and ASR of prevalence in 2023 (b), and the correlation between the change of HDI and AAPC in ASR of prevalence during 2005–2023 (c). Fig. S10 ASR of YLDs for diabetes by quintile of HDI during 2005–2023 (a), the correlation between HDI and ASR of YLDs in 2023 (b), and the correlation between the change of HDI and AAPC in ASR of YLDs during 2005–2023 (c).

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Publication Details

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Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29219685.v1
Primary Topic
Plant pathogens and resistance mechanisms
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article
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article

Additional file 1 of The national and provincial prevalence and non-fatal burdens of diabetes in China from 2005 to 2023 with projections of prevalence to 2050

Figshare
Plant pathogens and resistance mechanisms
article

Additional file 1 of The national and provincial prevalence and non-fatal burdens of diabetes in China from 2005 to 2023 with projections of prevalence to 2050

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Abstract

Additional file 1. Methods. Table S1 The baseline characteristics of the Chinese adult population in six rounds of CCDRFS. Table S2 The basic characteristic of 73 population-based studies included in the analysis. Table S3 The percentage change of number of patients and YLDs in 2023 relative to that in 2005, and the AAPC in the ASR of prevalence and YLDs during 2005-2023 by sex, geographical region, and HDI, in China. Table S4 The number of cases, ASR of prevalence, YLDs, and ASR of YLDs for diabetes in 2023, as well as AAPC in the ASR of prevalence and YLDs during 2005-2023, in Chinese 31 provinces (autonomous regions and municipalities). Table S5 ASR of prevalence for diabetes among adults aged 18 and above. Fig. S1 Systematic review flow diagram for selection of studies. Fig. S2 Comparison of the prevalence of diabetes from a literature review and the CCDRFS (after Crosswalk process). Fig. S3 The diagram of the estimation process of prevalence and YLDs of diabetes. Fig. S4 The BMI and HDI in China and by province in 2005 and 2023. Fig. S5 The number of YLDs and ASR of YLDs for diabetes by sex in China from 2005 to 2023. Fig. S6 ASR of YLD for diabetes in China at the provincial level in 2023, and AAPC in ASR of YLDs from 2005 to 2023. Fig. S7 The prevalence of diabetes by five-year age groups in China and Chinese six regions, 2023. Fig. S8 The rate of YLDs by five-year age groups in China and Chinese six regions, 2023. Fig. S9 ASR of prevalence for diabetes by quintile of HDI during 2005–2023 (a), the correlation between HDI and ASR of prevalence in 2023 (b), and the correlation between the change of HDI and AAPC in ASR of prevalence during 2005–2023 (c). Fig. S10 ASR of YLDs for diabetes by quintile of HDI during 2005–2023 (a), the correlation between HDI and ASR of YLDs in 2023 (b), and the correlation between the change of HDI and AAPC in ASR of YLDs during 2005–2023 (c).

Figshare
Shandong University (CN), National University of Singapore (SG), Chinese Center For Disease Control and Prevention (CN)
Good health and well-being
Openalex Percentile: Top 43%
Plant pathogens and resistance mechanisms
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